International Tables for Crystallography Volume C: Mathematical, physical and chemical tables [C, 4 ed.] 9781402019005

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INTERNATIONAL TABLES FOR CRYSTALLOGRAPHY

Volume C MATHEMATICAL, PHYSICAL AND CHEMICAL TABLES

Edited by E. PRINCE

iii

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Contributing Authors A. ALBINATI: Istituto Chimica Farmaceutica, UniversitaÁ di Milano, Viale Abruzzi 42, Milano 20131, Italy. [8.6] N. G. ALEXANDROPOULOS: Department of Physics, University of Ioannina, PO Box 1186, Gr-45110 Ioannina, Greece. [7.4.3] F. H. ALLEN: Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, England. [9.5, 9.6] Y. AMEMIYA: Engineering Research Institute, Department of Applied Physics, Faculty of Engineering, University of Tokyo, 2-11-16 Yayoi, Bunkyo, Tokyo 113, Japan. [7.1.8] I. S. ANDERSON: Institut Laue±Langevin, Avenue des Martyrs, BP 156X, F-38042 Grenoble CEDEX, France. [4.4.2] U. W. ARNDT: MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 2QH, England. [4.2.1, 7.1.6] J. BARUCHEL: Experiment Division, ESRF, BP 220, F-38043 Grenoble CEDEX, France. [2.8] P. J. BECKER: Ecole Centrale Paris, Centre de Recherche, Grand Voie des Vignes, F-92295 ChaÃtenay Malabry CEDEX, France. [8.7] G. BERGERHOFF: Institut fuÈr Anorganische Chemie der UniversitaÈt Bonn, Gerhard-Domagkstrasse 1, D-53121 Bonn, Germany. [9.4] P. T. BOGGS: Scienti®c Computing Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [8.1] L. BRAMMER: Department of Chemistry, University of Missouri± St Louis, 8001 Natural Bridge Road, St Louis, MO 63121-4499, USA. [9.5, 9.6] K. BRANDENBURG: Institut fuÈr Anorganische Chemie der UniversitaÈt Bonn, Gerhard-Domagkstrasse 1, D-53121 Bonn, Germany. [9.4] P. J. BROWN: Institut Laue±Langevin, Avenue des Martyrs, BP 156X, F-38042 Grenoble CEDEX, France. [4.4.5, 6.1.2] yB. BURAS [2.5.1, 7.1.5] J. M. CARPENTER: Intense Pulsed Neutron Source, Building 360, Argonne National Laboratory, Argonne, IL 60439, USA. [4.4.1] J. N. CHAPMAN: Department of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, Scotland. [7.2] P. CHIEUX: Institut Laue±Langevin, Avenue des Martyrs, BP 156X, F-38042 Grenoble CEDEX, France. [7.3] J. CHIKAWA: Center for Advanced Science and Technology, Harima Science Park City, Kamigori-cho, Hyogo 678-12, Japan. [7.1.7, 7.1.8] C. COLLIEX, Laboratoire Aime Cotton, CNRS, Campus d'Orsay, BaÃtiment 505, F-91405 Orsay CEDEX, France. [4.3.4] D. M. COLLINS: Laboratory for the Structure of Matter, Code 6030, Naval Research Laboratory, Washington, DC 20375-5341, USA. [8.2] P. CONVERT: Institut Laue±Langevin, Avenue des Martyrs, BP 156X, F-38042 Grenoble CEDEX, France. [7.3] M. J. COOPER: Department of Physics, University of Warwick, Coventry CV4 7AL, England. [7.4.3] P. COPPENS: 732 NSM Building, Department of Chemistry, State University of New York at Buffalo, Buffalo, NY 14260-3000, USA. [8.7] J. M. COWLEY: Department of Physics and Astronomy, Arizona State University, Tempe, AZ 85287-1504, USA. [2.4.1, 4.3.1, 4.3.2, 4.3.8]

D. C. CREAGH: Division of Health, Design, and Science, University of Canberra, Canberra, ACT 2601, Australia. [4.2.3, 4.2.4, 4.2.5, 4.2.6, 10] J. L. C. DAAMS: Materials Analysis Department, Philips Research Laboratories, Prof. Holstaan 4, 5656 AA Eindhoven, The Netherlands. [9.3] W. I. F. DAVID: ISIS Science Division, Rutherford Appleton Laboratory, Chilton, Didcot, Oxfordshire OX11 0QX, England. [2.5.2] yR. D. DESLATTES [4.2.2] S. L. DUDAREV: Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, England. [4.3.2] Æ UROVICÆ: Department of Theoretical Chemistry, Slovak S. D Academy of Sciences, DuÂbravska cesta, 842 36 Bratislava, Slovakia. [9.2.2] L. W. FINGER: Geophysical Laboratory, Carnegie Institution of Washington, 5251 Broad Branch Road NW, Washington, DC 20015-1305, USA. [8.3] M. FINK: Department of Physics, University of Texas at Austin, Austin, TX 78712, USA. [4.3.3] W. FISCHER: Institut fuÈr Mineralogie, Petrologie und Kristallographie, UniversitaÈt Marburg, Hans-Meerwein-Strasse, D-35032 Marburg, Germany. [9.1] H. M. FLOWER: Department of Metallurgy, Imperial College, London SW7, England. [3.5] A. G. FOX: Center for Materials Science and Engineering, Naval Postgraduate School, Monterey, CA 93943-5000, USA. [6.1.1] J. R. FRYER: Department of Chemistry, University of Glasgow, Glasgow G12 8QQ, Scotland. [3.5] E. GAèDECKA: Institute of Low Temperature and Structure Research, Polish Academy of Sciences, PO Box 937, 50-950 Wrocøaw 2, Poland. [5.3] L. GERWARD: Physics Department, Technical University of Denmark, DK-2800 Lyngby, Denmark. [2.5.1, 7.1.5] J. GJéNNES: Department of Physics, University of Oslo, PO Box 1048, Blindern, N-0316 Oslo, Norway. [4.3.7, 8.8] O. GLATTER: Institut fuÈr Physikalische Chemie, UniversitaÈt Graz, Heinrichstrasse 28, A-8010 Graz, Austria. [2.6.1] J. R. HELLIWELL: Department of Chemistry, University of Manchester, Manchester M13 9PL, England. [2.1, 2.2] A. W. HEWAT: Institut Laue±Langevin, Avenue des Martyrs, BP 156X, F-38042 Grenoble CEDEX, France. [2.4.2] R. L. HILDERBRANDT: Chemistry Division, Room 1055, The National Science Foundation, 4201 Wilson Blvd, Arlington, VA 22230, USA. [4.3.3] A. HOWIE: Cavendish Laboratory, Madingley Road, Cambridge CB3 0HE, England [4.3.6.2] H.-C. HU: China Institute of Atomic Energy, PO Box 275 (18), Beijing 102413, People's Republic of China [6.2] J. H. HUBBELL: Room C314, Radiation Physics Building, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [4.2.4] P. INDELICATO: Laboratoire Kastler-Brossel, Case 74, Universite Pierre et Marie Curie, 4 Place Jussieu, F-75252 Paris CEDEX 05, France. [4.2.2] A. JANNER: Institute for Theoretical Physics, University of Nijmegen, Toernooiveld, NL-6525 ED Nijmegen, The Netherlands. [9.8] T. JANSSEN: Institute for Theoretical Physics, University of Nijmegen, Toernooiveld, NL-6525 ED Nijmegen, The Netherlands. [9.8]

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CONTRIBUTING AUTHORS A. W. S. JOHNSON: Centre for Microscopy and Microanalysis, University of Western Australia, Nedlands, WA 6009, Australia. [5.4.1] J. D. JORGENSEN: Materials Science Division, Building 223, Argonne National Laboratory, Argonne, IL 60439, USA. [2.5.2] V. L. KAREN: NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [9.7] E. G. KESSLER JR: Atomic Physics Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [4.2.2] E. KOCH: Institut fuÈr Mineralogie, Petrologie und Kristallographie, UniversitaÈt Marburg, Hans-Meerwein-Strasse, D-35032 Marburg, Germany. [1.1, 1.2, 1.3, 9.1] J. H. KONNERT: Laboratory for the Structure of Matter, Code 6030, Naval Research Laboratory, Washington, DC 20375-5000, USA. [8.3] P. KRISHNA: Rajghat Education Center, Krishnamurti Foundation India, Rajghat Fort, Varanasi 221001, India. [9.2.1] G. LANDER: ITU, European Commission, Postfach 2340, D-76125 Karlsruhe, Germany. [4.4.1] A. R. LANG: H. H. Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, England. [2.7] J. I. LANGFORD: School of Physics & Astronomy, University of Birmingham, Birmingham B15 2TT, England. [2.3, 5.2, 6.2, 7.1.2] yE. S. LARSEN JR. [3.3] P. F. LINDLEY: ESRF, Avenue des Martyrs, BP 220, F-38043 Grenoble CEDEX, France. [3.1, 3.2.1, 3.2.3, 3.4] E. LINDROTH, Department of Atomic Physics, Stockholm University, S-104 05 Stockholm, Sweden. [4.2.2] y H. LIPSON. [6.2] A. LOOIJENGA-VOS: Roland Holstlaan 908, NL-2624 JK Delft, The Netherlands. [9.8] D. F. LYNCH: CSIRO Division of Materials Science & Technology, Private Bag 33, Rosebank MDC, Clayton, Victoria 3169, Australia. [4.3.6.1] C. F. MAJKRZAK: NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [2.9] S. MARTINEZ-CARRERA: San Ernesto, 6-Esc. 3, 28002 Madrid, Spain. [10] yE. N. MASLEN. [6.1.1, 6.3] R. P. MAY: Institut Laue±Langevin, Avenue des Martyrs, BP 156X, F-38042 Grenoble CEDEX, France. [2.6.2] yR. MEYROWITZ. [3.3] A. MIGHELL: NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [9.7] M. A. O'KEEFE: National Center for Electron Microscopy, Lawrence Berkeley National Laboratory MS-72, University of California, Berkeley, CA 94720, USA. [6.1.1] A. OLSEN: Department of Physics, University of Oslo, PO Box 1048, N-0316 Blindern, Norway. [5.4.2] A. G. ORPEN: School of Chemistry, University of Bristol, Bristol BS8 1TS, England. [9.5, 9.6] D. PANDEY: Physics Department, Banaras Hindu University, Varanasi 221005, India. [9.2.1] yW. PARRISH. [2.3, 5.2, 7.1.2, 7.1.3, 7.1.4] L. M. PENG: Department of Electronics, Peking University, Beijing 100817, People's Republic of China. [4.3.2] E. PRINCE: NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [8.1, 8.2, 8.3, 8.4, 8.5]

R. PYNN: LANSCE, MS H805, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM 87545, USA. [4.4.3] G. REN: Beijing Laboratory of Electron Microscopy, Chinese Academy of Sciences, PO Box 2724, Beijing 100080, People's Republic of China. [4.3.2] F. M. RICHARDS: Department of Molecular Biophysics and Biochemistry, Yale University, 260 Whitney Ave, New Haven, CT 06520-8114, USA. [3.2.2] J. R. RODGERS: National Research Council of Canada, Canada Institute for Scienti®c and Technical Information, Ottawa, Canada K1A 0S2. [9.3] A. W. ROSS: Physics Department, The University of Texas at Austin, Austin, TX 78712, USA. [4.3.3] J. M. ROWE: NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. [4.4.3] T. M. SABINE: ANSTO, Private Mail Bag 1, Menai, NSW 2234, Australia. [6.4] È RPF: Physik-Department E13, TU MuÈnchen, JamesO. SCHA Franck-Strasse 1, D-85748 Garching, Germany. [4.4.2] M. SCHLENKER: l'Institut National Polytechnique de Grenoble, Laboratoire Louis NeÂel du CNRS, BP 166, F-38042 Grenoble CEDEX 9, France. [2.8] V. F. SEARS: Atomic Energy of Canada Limited, Chalk River Laboratories, Chalk River, Ontario, Canada K0J 1J0. [4.4.4] G. S. SMITH: Manuel Lujan Jr Neutron Scattering Center, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. [2.9] V. H. SMITH JR: Department of Chemistry, Queen's University, Kingston, Ontario, Canada K7L 3N6. [4.3.3] J. C. H. SPENCE: Department of Physics, Arizona State University, Tempe, AZ 85287, USA. [4.3.8] C. H. SPIEGELMAN: Department of Statistics, Texas A&M University, College Station, TX 77843, USA. [8.4, 8.5] J. W. STEEDS: H. H. Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, England. [4.3.7] Z. SU: Digital Equipment Co., 129 Parker Street, PKO1/C22, Maynard, MA 01754-2122, USA. [8.7] P. SUORTTI: Department of Physics, PO Box 9, University of Helsinki, FIN-00014 Helsinki, Finland. [7.4.4] R. TAYLOR: Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, England. [9.5, 9.6] N. J. TIGHE: 42 Lema Lane, Palm Coast, FL 32137-2417, USA. [3.5] V. VALVODA: Department of Physics of Semiconductors, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 5, 121 16 Praha 2, Czech Republic. [4.1] P. VILLARS: Intermetallic Phases Databank, Postal Box 1, CH6354 Vitznau, Switzerland. [9.3] J. WANG: Department of Chemistry, Queen's University, Kingston, Ontario, Canada K7L 3N6. [4.3.3] D. G. WATSON: Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, England. [9.5, 9.6] M. J. WHELAN: Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, England. [4.3.2] B. T. M. WILLIS: Chemical Crystallography Laboratory, University of Oxford, 9 Parks Road, Oxford OX1 3PD, England. [2.5.2, 3.6, 4.4.6, 5.5, 6.1.3, 7.4.2, 8.6] yA. J. C. WILSON. [1.4, 3.3, 5.1, 5.2, 7.5, 9.7] yP. M. DE WOLFF. [7.1.1, 9.8] yB. B. ZVYAGIN. [4.3.5]

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Contents page PREFACE (A. J. C. Wilson)

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PREFACE TO THE THIRD EDITION (E. Prince)

xxxi

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xxxi

PART 1: CRYSTAL GEOMETRY AND SYMMETRY .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

1

1.1. Summary of General Formulae (E. Koch) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

2

1.1.1. General relations between direct and reciprocal lattices .. .. .. .. .. .. .. .. .. 1.1.1.1. Primitive crystallographic bases .. .. .. .. .. .. .. .. .. .. .. .. .. .. 1.1.1.2. Non-primitive crystallographic bases .. .. .. .. .. .. .. .. .. .. .. .. .. Table 1.1.1.1. Direct and reciprocal lattices described with respect to conventional 1.1.2. Lattice vectors, point rows, and net planes .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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1.1.3. Angles in direct and reciprocal space.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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1.1.4. The Miller formulae

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5

1.2. Application to the Crystal Systems (E. Koch) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

6

1.2.1. Triclinic crystal system.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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1.2.2. Monoclinic crystal system .. .. .. 1.2.2.1. Setting with `unique axis 1.2.2.2. Setting with `unique axis 1.2.3. Orthorhombic crystal system.. ..

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7 7 7 7 8 8 8 9 9

1.3. Twinning (E. Koch) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

10

1.3.1. General remarks .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

10

1.3.2. Twin lattices .. .. .. .. .. .. .. .. .. .. .. 1.3.2.1. Examples .. .. .. .. .. .. .. .. .. Table 1.3.2.1. Lattice planes and rows that parameters .. .. .. .. .. .. 1.3.3. Implication of twinning in reciprocal space ..

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1.2.4. Tetragonal crystal system .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 1.2.4.1. Assignment of integers s  100 to pairs h, k with s ˆ h2 ‡ k2 .. .. .. .. .. 1.2.5. Trigonal and hexagonal crystal system .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 1.2.5.1. Description referred to hexagonal axes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 1.2.5.2. Description referred to rhombohedral axes .. .. .. .. .. .. .. .. .. .. .. .. .. Table 1.2.5.1. Assignment of integers s  100 to pairs h, k with s ˆ h2 ‡ k2 ‡ hk .. .. .. Table 1.2.5.2. Assignment of integers s1  50 to triplets h, k, l with s1 ˆ h2 ‡ k2 ‡ l2 s2 ˆ hk ‡ hl ‡ kl .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 1.2.6. Cubic crystal system .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 1.2.6.1. Assignment of integers s  100 to triplets h, k, l with s ˆ h2 ‡ k2 ‡ l2 .. ..

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.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. are perpendicular to each other independently of the .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

1.3.4. Twinning by merohedry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 1.3.4.1. Possible twin operations for twins by merohedry .. .. .. .. .. Table 1.3.4.2. Simulated Laue classes, extinction symbols, simulated `possible true space groups for crystals twinned by merohedry (type 2) .. 1.3.5. Calculation of the twin element .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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.. .. .. .. .. .. groups', .. .. .. .. .. ..

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.. .. .. .. .. .. metrical .. .. .. .. .. ..

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.. .. .. .. .. .. possible .. .. .. .. .. ..

13 14

1.4. Arithmetic Crystal Classes and Symmorphic Space Groups (A. J. C. Wilson) .. .. .. .. .. .. .. .. ..

15

1.4.1. Arithmetic crystal classes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 1.4.1.1. Arithmetic crystal classes in three dimensions.. .. .. .. .. .. .. .. .. .. .. .. 1.4.1.2. Arithmetic crystal classes in one, two and higher dimensions .. .. .. .. .. .. Table 1.4.1.1. The two-dimensional arithmetic crystal classes .. .. .. .. .. .. .. .. .. 1.4.2. Classi®cation of space groups .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 1.4.2.1. Symmorphic space groups .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 1.4.2.1. The three-dimensional space groups, arranged by arithmetic crystal class vii

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15 15 16 15 20 21 16

CONTENTS 1.4.3. Effect of dispersion on diffraction symmetry .. .. .. .. 1.4.3.1. Symmetry of the Patterson function .. .. .. .. 1.4.3.2. `Laue' symmetry .. .. .. .. .. .. .. .. .. .. .. Table 1.4.3.1. Arithmetic crystal classes classi®ed by the References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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21 21 21 20 21

PART 2: DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION .. .. .. .. .. ..

23

2.1. Classification of Experimental Techniques (J. R. Helliwell) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

24

Table 2.1.1. Summary of main experimental techniques for structure analysis .. .. .. .. .. .. .. .. .. .. .. .. ..

25

2.2. Single-Crystal X-ray Techniques (J. R. Helliwell).. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

26

2.2.1. Laue geometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.1.1. General .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.1.2. Crystal setting .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.1.3. Single-order and multiple-order re¯ections .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.1.4. Angular distribution of re¯ections in Laue diffraction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.1.5. Gnomonic and stereographic transformations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.2. Monochromatic methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.2.1. Monochromatic still exposure .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.2.2. Crystal setting .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.3. Rotation/oscillation geometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.3.1. General .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.3.2. Diffraction coordinates .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.3.3. Relationship of reciprocal-lattice coordinates to crystal system parameters .. .. .. .. .. .. .. .. .. 2.2.3.4. Maximum oscillation angle without spot overlap .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.3.5. Blind region .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 2.2.3.1. Glossary of symbols used to specify quantitites on diffraction patterns and in reciprocal space 2.2.4. Weissenberg geometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.4.1. General .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.4.2. Recording of zero layer .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.4.3. Recording of upper layers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.5. Precession geometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.5.1. General .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.5.2. Crystal setting .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.5.3. Recording of zero-layer photograph .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.5.4. Recording of upper-layer photographs .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.5.5. Recording of cone-axis photograph .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 2.2.5.1. The distance displacement (in mm) measured on the ®lm versus angular setting error of the crystal for a screenless precession ( ˆ 5 ) setting photograph .. .. .. .. .. .. .. .. .. .. .. 2.2.6. Diffractometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.6.1. General .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.6.2. Normal-beam equatorial geometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.6.3. Fixed  ˆ 45 geometry with area detector .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.7. Practical realization of diffraction geometry: sources, optics, and detectors .. .. .. .. .. .. .. .. .. .. .. .. 2.2.7.1. General .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.7.2. Conventional X-ray sources: spectral character, crystal rocking curve, and spot size.. .. .. .. .. .. 2.2.7.3. Synchrotron X-ray sources .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.2.7.4. Geometric effects and distortions associated with area detectors .. .. .. .. .. .. .. .. .. .. .. ..

26 26 27 27 29 29 29 30 30 31 31 31 33 33 34 32 34 34 34 34 35 35 35 35 35 36

2.3. Powder and Related Techniques: X-ray Techniques (W. Parrish and J. I. Langford) .. .. .. .. .. .. ..

42

2.3.1. Focusing diffractometer geometries .. .. .. .. .. .. .. .. 2.3.1.1. Conventional re¯ection specimen, ±2 scan .. .. 2.3.1.1.1. Geometrical instrument parameters .. .. 2.3.1.1.2. Use of monochromators .. .. .. .. .. .. 2.3.1.1.3. Alignment and angular calibration .. .. 2.3.1.1.4. Instrument broadening and aberrations .. 2.3.1.1.5. Focal line and receiving-slit widths .. .. 2.3.1.1.6. Aberrations related to the specimen .. .. viii

2 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

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35 36 36 36 37 37 37 37 38 41 43 44 44 46 46 47 48 48

CONTENTS .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

50 50 50 52 53 53 54 55 57 58 58 60 60 60 62 62 63 63 63 64 65 66 69 61 61 70 70 70 71 71 71 72 72 73 73 74 74 75 75 75 76 78 72 78 79

2.4. Powder and Related Techniques: Electron and Neutron Techniques .. .. .. .. .. .. .. .. .. .. .. ..

80

2.3.2.

2.3.3.

2.3.4.

2.3.5.

2.3.1.1.7. Axial divergence .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.1.1.8. Combined aberrations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.1.2. Transmission specimen, ±2 scan .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.1.3. Seemann±Bohlin method .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.1.4. Re¯ection specimen, ± scan .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.1.5. Microdiffractometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Parallel-beam geometries, synchrotron radiation .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.2.1. Monochromatic radiation, ±2 scan .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.2.2. Cylindrical specimen, 2 scan .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.2.3. Grazing-incidence diffraction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.2.4. High-resolution energy-dispersive diffraction .. .. .. .. .. .. .. .. .. .. .. Specimen factors, angle, intensity, and pro®le-shape measurement .. .. .. .. .. .. .. 2.3.3.1. Specimen factors.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.1.1. Preferred orientation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.1.2. Crystallite-size effects .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.2. Problems arising from the K doublet .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.3. Use of peak or centroid for angle de®nition .. .. .. .. .. .. .. .. .. .. .. 2.3.3.4. Rate-meter/strip-chart recording .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.5. Computer-controlled automation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.6. Counting statistics .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.7. Peak search .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.8. Pro®le ®tting .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.3.9. Computer graphics for powder patterns .. .. .. .. .. .. .. .. .. .. .. .. .. Table 2.3.3.1. Preferred-orientation data for silicon .. .. .. .. .. .. .. .. .. .. .. .. Table 2.3.3.2. R(Bragg) values obtained with different preferred-orientation formulae Powder cameras .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.4.1. Cylindrical cameras (Debye±Scherrer) .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.4.2. Focusing cameras (Guinier) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.4.3. Miscellaneous camera types .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Generation, modi®cations, and measurement of X-ray spectra .. .. .. .. .. .. .. .. 2.3.5.1. X-ray tubes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.1.1. Stability .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.1.2. Spectral purity .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.1.3. Source intensity distribution and size .. .. .. .. .. .. .. .. .. .. 2.3.5.1.4. Air and window transmission .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.1.5. Intensity variation with take-off angle .. .. .. .. .. .. .. .. .. .. 2.3.5.2. X-ray spectra .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.2.1. Wavelength selection .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.3. Other X-ray sources .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.4. Methods for modifying the spectrum .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.4.1. Crystal monochromators .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.3.5.4.2. Single and balanced ®lters .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 2.3.5.1. X-ray tube maximum ratings .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 2.3.5.2. ®lters for common target elements .. .. .. .. .. .. .. .. .. .. .. .. Table 2.3.5.3. Calculated thickness of balanced ®lters for common target elements ..

2.4.1. Electron techniques (J. M. Cowley) .. .. .. .. .. .. 2.4.1.1. Powder-pattern geometry.. .. .. .. .. .. .. 2.4.1.2. Diffraction patterns in electron microscopes 2.4.1.3. Preferred orientations .. .. .. .. .. .. .. .. 2.4.1.4. Powder-pattern intensities .. .. .. .. .. .. 2.4.1.5. Crystal-size analysis.. .. .. .. .. .. .. .. .. 2.4.1.6. Unknown-phase identi®cation: databases .. 2.4.2. Neutron techniques (A. W. Hewat) .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

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.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

80 80 80 80 80 81 81 82

2.5. Energy-Dispersive Techniques .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

84

2.5.1. Techniques for X-rays (B. Buras and L. Gerward) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.5.1.1. Recording powder diffraction spectra .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

84 84

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ix

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.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

CONTENTS 2.5.1.2. Incident X-ray beam .. .. .. .. .. .. .. .. 2.5.1.3. Resolution .. .. .. .. .. .. .. .. .. .. .. .. 2.5.1.4. Integrated intensity for powder sample .. .. 2.5.1.5. Corrections .. .. .. .. .. .. .. .. .. .. .. 2.5.1.6. The Rietveld method .. .. .. .. .. .. .. .. 2.5.1.7. Single-crystal diffraction .. .. .. .. .. .. .. 2.5.1.8. Applications .. .. .. .. .. .. .. .. .. .. .. 2.5.2. White-beam and time-of-¯ight neutron diffraction (J. 2.5.2.1. Neutron single-crystal Laue diffraction .. .. 2.5.2.2. Neutron time-of-¯ight powder diffraction ..

.. .. .. .. .. .. .. D. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Jorgensen, .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. W. .. ..

.. .. .. .. .. .. .. I. .. ..

.. .. .. .. .. .. .. F. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. David, and .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. ..

84 85 85 86 86 86 86 87 87 87

2.6. Small-Angle Techniques .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

89

2.6.1. X-ray techniques (O. Glatter) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.2. General principles .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.3. Monodisperse systems .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.3.1. Parameters of a particle .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.3.2. Shape and structure of particles .. .. .. .. .. .. .. .. .. .. 2.6.1.3.2.1. Homogeneous particles .. .. .. .. .. .. .. .. .. 2.6.1.3.2.2. Hollow and inhomogeneous particles.. .. .. .. .. 2.6.1.3.3. Interparticle interference, concentration effects .. .. .. .. .. 2.6.1.4. Polydisperse systems .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.5. Instrumentation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.5.1. Small-angle cameras .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.5.2. Detectors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.6. Data evaluation and interpretation .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.6.1. Primary data handling .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.6.2. Instrumental broadening ± smearing .. .. .. .. .. .. .. .. .. 2.6.1.6.3. Smoothing, desmearing, and Fourier transformation .. .. .. 2.6.1.6.4. Direct structure analysis .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.6.5. Interpretation of results .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.7. Simulations and model calculations .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.7.1. Simulations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.7.2. Model calculation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.7.3. Calculation of scattering intensities .. .. .. .. .. .. .. .. .. 2.6.1.7.4. Method of ®nite elements .. .. .. .. .. .. .. .. .. .. .. .. 2.6.1.7.5. Calculation of distance-distribution functions .. .. .. .. .. .. 2.6.1.8. Suggestions for further reading .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 2.6.1.1. Formulae for the various parameters for h and m scales .. .. .. 2.6.2. Neutron techniques (R. May) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.1. Relation of X-ray and neutron small-angle scattering .. .. .. .. .. .. 2.6.2.1.1. Wavelength .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.1.2. Geometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.1.3. Correction of wavelength, slit, and detector-element effects .. 2.6.2.2. Isotopic composition of the sample .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.2.1. Contrast variation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.2.2. Speci®c isotopic labelling.. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.3. Magnetic properties of the neutron .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.3.1. Spin-contrast variation .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.4. Long wavelengths .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.5. Sample environment .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.6. Incoherent scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.6.1. Absolute scaling .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.6.2. Detector-response correction .. .. .. .. .. .. .. .. .. .. .. 2.6.2.6.3. Estimation of the incoherent scattering level .. .. .. .. .. .. 2.6.2.6.4. Inner surface area .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.7. Single-particle scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.7.1. Particle shape .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.6.2.7.2. Particle mass .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. x

4 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. B. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. T. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. M. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Willis) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

89 89 90 91 91 93 93 96 97 99 99 99 100 100 100 101 101 103 103 103 103 104 104 104 104 104 92 105 105 105 106 106 106 107 107 107 108 108 108 108 108 109 109 109 110 110 110

CONTENTS 2.6.2.7.3. Real-space considerations .. 2.6.2.7.4. Particle-size distribution .. .. 2.6.2.7.5. Model ®tting .. .. .. .. .. .. 2.6.2.7.6. Label triangulation .. .. .. .. 2.6.2.7.7. Triplet isotropic replacement 2.6.2.8. Dense systems .. .. .. .. .. .. .. ..

.. .. .. .. .. ..

110 111 111 111 111 112

2.7. Topography (A. R. Lang) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

113

2.7.1. Principles .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

113

2.7.2. Single-crystal techniques .. .. .. 2.7.2.1. Re¯ection topographs .. 2.7.2.2. Transmission topographs 2.7.3. Double-crystal topography .. ..

.. .. .. ..

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114 114 115 117

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. topography .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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119 119 120 121 121 121 122

2.8. Neutron Diffraction Topography (M. Schlenker and J. Baruchel) .. .. .. .. .. .. .. .. .. .. .. .. .. ..

124

2.8.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

124

2.8.2. Implementation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

124

2.8.3. Application to investigations of heavy crystals

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

124

2.8.4. Investigation of magnetic domains and magnetic phase transitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

124

2.9. Neutron Reflectometry (G. S. Smith and C. F. Majkrzak) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

126

2.9.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

126

2.9.2. Theory of elastic specular neutron re¯ection .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

126

2.9.3. Polarized neutron re¯ectivity

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

127

2.9.4. Surface roughness .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

128

2.9.5. Experimental methodology .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

128

2.9.6. Resolution in real space .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

129

2.9.7. Applications of neutron re¯ectometry 2.9.7.1. Self-diffusion .. .. .. .. .. .. 2.9.7.2. Magnetic multilayers .. .. .. 2.9.7.3. Hydrogenous materials .. .. References .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. ..

129 129 130 130 130

PART 3: PREPARATION AND EXAMINATION OF SPECIMENS .. .. .. .. .. .. .. .. .. .. .. ..

147

3.1. Preparation, Selection, and Investigation of Specimens (P. F. Lindley) .. .. .. .. .. .. .. .. .. .. .. ..

148

.. .. .. .. ..

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.. .. .. .. ..

3.1.1. Crystallization.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.1.1.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.1.1.2. Crystal growth .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.1.1.3. Methods of growing crystals .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.1.1.4. Factors affecting the solubility of biological macromolecules.. .. .. .. .. .. .. 3.1.1.5. Screening procedures for the crystallization of biological macromolecules .. .. 3.1.1.6. Automated protein crystallization .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.1.1.7. Membrane proteins .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 3.1.1.1. Survey of crystallization techniques suitable for the crystallization weight organic compounds for X-ray crystallography .. .. .. .. .. .. .. Table 3.1.1.2. Commonly used ionic and organic precipitants .. .. .. .. .. .. .. .. .. Table 3.1.1.3. Crystallization matrix parameters for sparse-matrix sampling .. .. .. .. Table 3.1.1.4. Reservoir solutions for sparse-matrix sampling .. .. .. .. .. .. .. .. .. xi

5 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

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.. .. .. ..

.. .. .. .. .. ..

.. .. .. ..

2.7.4. Developments with synchrotron radiation .. .. .. .. .. .. .. .. .. .. .. .. .. 2.7.4.1. White-radiation topography .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.7.4.2. Incident-beam monochromatization .. .. .. .. .. .. .. .. .. .. .. .. Table 2.7.4.1. Monolithic monochromator for plane-wave synchrotron-radiation 2.7.5. Some special techniques .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.7.5.1. Moire topography .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2.7.5.2. Real-time viewing of topograph images .. .. .. .. .. .. .. .. .. .. ..

.. .. .. ..

.. .. .. .. .. ..

.. .. .. .. ..

.. .. .. .. .. .. .. .. of .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. low-molecular.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

148 148 148 148 148 150 150 150 149 150 151 152

CONTENTS 3.1.2. Selection of single crystals .. .. .. .. .. .. .. .. .. .. 3.1.2.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. 3.1.2.2. Size, shape, and quality .. .. .. .. .. .. .. .. 3.1.2.3. Optical examination .. .. .. .. .. .. .. .. .. 3.1.2.4. Twinning .. .. .. .. .. .. .. .. .. .. .. .. .. Table 3.1.2.1. Use of crystal properties for selection optical, and mechanical properties .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. and preliminary .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. crystals; morphological, .. .. .. .. .. .. .. .. ..

153

3.2. Determination of the Density of Solids .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

156

3.2.1. Introduction (P. F. Lindley) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.1.1. General precautions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2. Description and discussion of techniques (F. M. Richards) .. .. .. .. .. 3.2.2.1. Gradient tube.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.1.1. Technique .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.1.2. Suitable substances for columns .. .. .. .. .. .. .. .. 3.2.2.1.3. Sensitivity .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.2. Flotation method .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.3. Pycnometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.4. Method of Archimedes .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.5. Immersion microbalance .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.6. Volumenometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.2.2.7. Other procedures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 3.2.2.1. Possible substances for use as gradient-column components 3.2.3. Biological macromolecules (P. F. Lindley) .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. study .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. of .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

156 156 156 156 156 157 158 158 158 158 158 158 158 157 159

Table 3.2.3.1. Typical calculations of the values of VM and Vsolv for proteins .. .. .. .. .. .. .. .. .. .. ..

159

3.3. Measurement of Refractive Index (E. S. Larsen Jr, R. Meyrowitz, and A. J. C. Wilson) .. .. .. .. .. ..

160

3.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

160

3.3.2. Media for general use .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 3.3.2.1. Immersion media for general use in the measurement of index of refraction .. .. .. .. .. .. 3.3.3. High-index media .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

160 160 160

3.3.4. Media for organic substances .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 3.3.4.1. Aqueous solutions for use as immersion media for organic crystals .. .. .. .. .. .. .. .. .. Table 3.3.4.2. Organic immersion media for use with organic crystals of low solubility.. .. .. .. .. .. .. ..

161 160 160

3.4. Mounting and Setting of Specimens for X-ray Crystallographic Studies (P. F. Lindley) .. .. .. .. ..

162

3.4.1. Mounting of specimens .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.2. Polycrystalline specimens .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.2.1. General.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.2.2. Non-ambient conditions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.3. Single crystals (small molecules) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.3.1. General.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.3.2. Non-ambient conditions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.4. Single crystals of biological macromolecules at ambient temperatures .. .. .. 3.4.1.5. Cryogenic studies of biological macromolecules .. .. .. .. .. .. .. .. .. .. .. 3.4.1.5.1. Radiation damage .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.5.2. Cryoprotectants .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.5.3. Crystal mounting and cooling .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.5.4. Cooling devices .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.1.5.5. General.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 3.4.1.1. Single-crystal and powder mounting, capillary tubes and other containers Table 3.4.1.2. Single-crystal mounting ± adhesives .. .. .. .. .. .. .. .. .. .. .. .. .. Table 3.4.1.3. Cryoprotectants commonly used for biological macromolecules .. .. .. .. 3.4.2. Setting of single crystals by X-rays .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.2.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.2.2. Preliminary considerations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.2.3. Equatorial setting using a rotation camera .. .. .. .. .. .. .. .. .. .. .. .. .. xii

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151 151 151 154 155

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162 162 162 162 162 163 163 164 165 166 166 166 166 167 167 163 164 166 167 167 168 168

CONTENTS 3.4.2.4. Precession geometry setting with moving-crystal methods.. .. .. .. .. .. .. .. .. 3.4.2.5. Setting and orientation with stationary-crystal methods .. .. .. .. .. .. .. .. .. 3.4.2.5.1. Laue images ± white radiation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.2.5.2. `Still' images ± monochromatic radiation .. .. .. .. .. .. .. .. .. .. .. 3.4.2.6. Setting and orientation for crystals with large unit cells using oscillation geometry 3.4.2.7. Diffractometer-setting considerations.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.4.2.8. Crystal setting and data-collection ef®ciency .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. ..

168 169 169 169 169 170 170

3.5. Preparation of Specimens for Electron Diffraction and Electron Microscopy (N. J. Tighe, J. R. Fryer, and H. M. Flower) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

171

3.5.1. Ceramics and rock minerals .. .. .. .. .. .. .. .. .. .. .. .. 3.5.1.1. Thin fragments, particles, and ¯akes .. .. .. .. .. .. 3.5.1.2. Thin-section preparation .. .. .. .. .. .. .. .. .. .. 3.5.1.3. Final thinning by argon-ion etching .. .. .. .. .. .. 3.5.1.4. Final thinning by chemical etching .. .. .. .. .. .. 3.5.1.5. Evaporated and sputtered thin ®lms .. .. .. .. .. .. Table 3.5.1.1. Chemical etchants used for preparing thin foils 3.5.2. Metals .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.5.2.1. Thin sections .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.5.2.2. Final thinning methods .. .. .. .. .. .. .. .. .. .. 3.5.2.3. Chemical and electrochemical thinning solutions .. .. 3.5.3. Polymers and organic specimens .. .. .. .. .. .. .. .. .. .. 3.5.3.1. Cast ®lms .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 3.5.3.2. Sublimed ®lms .. .. .. .. .. .. .. .. .. .. .. .. .. 3.5.3.3. Oriented solidi®cation .. .. .. .. .. .. .. .. .. .. ..

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.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. from single-crystal ceramic materials .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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171 171 171 172 173 173 173 173 174 174 175 176 176 176 176

3.6. Specimens for Neutron Diffraction (B. T. M. Willis) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

177

References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

177

PART 4: PRODUCTION AND PROPERTIES OF RADIATIONS .. .. .. .. .. .. .. .. .. .. .. .. ..

185

4.1. Radiations used in Crystallography (V. Valvoda) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

186

4.1.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

186

4.1.2. Electromagnetic waves and particles .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

186

4.1.3. Most frequently used radiations .. .. .. .. .. .. .. .. .. .. .. Table 4.1.3.1. Average diffraction properties of X-rays, electrons, 4.1.4. Special applications of X-rays, electrons, and neutrons .. .. .. .. 4.1.4.1. X-rays, synchrotron radiation, and -rays .. .. .. .. .. 4.1.4.2. Electrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.1.4.3. Neutrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.1.5. Other radiations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.1.5.1. Atomic and molecular beams .. .. .. .. .. .. .. .. .. 4.1.5.2. Positrons and muons .. .. .. .. .. .. .. .. .. .. .. .. 4.1.5.3. Infrared, visible, and ultraviolet light .. .. .. .. .. .. .. 4.1.5.4. Radiofrequency and microwaves .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. ..

187 187 189 189 189 189 189 189 189 189 190

4.2. X-rays .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

191

.. .. .. .. .. and neutrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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4.2.1. Generation of X-rays (U. W. Arndt) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.1. The characteristic line spectrum .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.1.1. The intensity of characteristic lines .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.2. The continuous spectrum .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.3. X-ray tubes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.3.1. Power dissipation in the anode.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.4. Radioactive X-ray sources .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.5. Synchrotron-radiation sources .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.6. Plasma X-ray sources .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.1.7. Other sources of X-rays .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.1.1. Correspondence between X-ray diagram levels and electron con®gurations .. Table 4.2.1.2. Correspondence between IUPAC and Siegbahn notations for X-ray diagram xiii

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191 191 191 192 193 195 195 196 198 199 191 191

CONTENTS Table Table Table Table Table

4.2.1.3. 4.2.1.4. 4.2.1.5. 4.2.1.6. 4.2.1.7.

Copper-target X-ray tubes and their loading .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Relative permissible loading for different target materials .. .. .. .. .. .. .. .. .. .. .. Radionuclides decaying wholly by electron capture, and yielding little or no -radiation Comparison of storage-ring synchrotron-radiation sources .. .. .. .. .. .. .. .. .. .. Intensity gain with storage rings over conventional sources .. .. .. .. .. .. .. .. .. ..

4.2.2. X-ray wavelengths (R. D. Deslattes, E. G. Kessler Jr, P. Indelicato, and E. Lindroth) 4.2.2.1. Historical introduction.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.2. Known problems .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.3. Alternative strategies .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.4. The X-ray wavelength scales, old and new .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.5. K-series reference wavelengths .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.6. L-series reference wavelengths .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.7. Absorption-edge locations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.8. Outline of the theoretical procedures .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.9. Evaluation of the uncorrelated energy with Dirac±Fock method .. .. .. .. 4.2.2.10. Correlation and Auger shifts .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.11. QED corrections .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.2.12. Structure and format of the summary tables .. .. .. .. .. .. .. .. .. .. .. 4.2.2.13. Availability of a more complete X-ray wavelength table.. .. .. .. .. .. .. 4.2.2.14. Connection with scales used in previous literature .. .. .. .. .. .. .. .. .. Table 4.2.2.1. K-series reference wavelengths .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.2.2. Directly measured L-series reference wavelengths .. .. .. .. .. .. .. Table 4.2.2.3. Directly measured and emission + binding energies K-absorption edges Table 4.2.2.4. Wavelengths of K-emission lines and K-absorption edges .. .. .. .. .. Table 4.2.2.5. Wavelengths of L-emission lines and L-absorption edges .. .. .. .. .. Table 4.2.2.6. Wavelength conversion factors .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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194 196 196 199 200

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200 200 201 201 201 202 202 202 204 205 205 205 211 212 212 203 204 205 206 209 212

4.2.3. X-ray absorption spectra (D. C. Creagh) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.1.1. De®nitions.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.1.2. Variation of X-ray attenuation coef®cients with photon energy .. .. .. .. .. .. 4.2.3.1.3. Normal attenuation, XAFS, and XANES .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.2. Techniques for the measurement of X-ray attenuation coef®cients .. .. .. .. .. .. .. .. 4.2.3.2.1. Experimental con®gurations.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.2.2. Specimen selection .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.2.3. Requirements for the absolute measurement of l or …=†.. .. .. .. .. .. .. .. 4.2.3.3. Normal attenuation coef®cients .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.4. Attenuation coef®cients in the neighbourhood of an absorption edge .. .. .. .. .. .. .. 4.2.3.4.1. XAFS .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.4.1.1. Theory .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.4.1.2. Techniques of data analysis .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.4.1.3. XAFS experiments .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.4.2. X-ray absorption near edge structure (XANES) .. .. .. .. .. .. .. .. .. .. .. .. 4.2.3.5. Comments .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.3.1. Some synchrotron-radiation facilities providing XAFS databases and analysis utilities

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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213 213 213 213 213 214 214 215 215 215 216 216 216 217 218 219 220 219

4.2.4. X-ray absorption (or attenuation) coef®cients (D. C. Creagh and J. H. Hubbell) .. .. .. .. 4.2.4.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.4.2. Sources of information .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.4.2.1. Theoretical photo-effect data: pe .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.4.2.2. Theoretical Rayleigh scattering data: R .. .. .. .. .. .. .. .. .. .. .. 4.2.4.2.3. Theoretical Compton scattering data: C .. .. .. .. .. .. .. .. .. .. .. 4.2.4.3. Comparison between theoretical and experimental data sets .. .. .. .. .. .. .. .. 4.2.4.4. Uncertainty in the data tables .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.4.1. Table of wavelengths and energies for the characteristic radiations 4.2.4.2 and 4.2.4.3 .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.4.2. Total photon interaction cross section .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.4.3. Mass attenuation coef®cients .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Tables .. .. .. .. .. .. .. .. ..

220 220 221 221 221 229 229 229

4.2.5. Filters and monochromators (D. C. Creagh) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.5.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.5.2. Mirrors and capillaries.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

229 229 236

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xiv

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221 223 230

CONTENTS 4.2.5.2.1. Mirrors .. .. .. .. .. .. .. .. .. .. .. .. 4.2.5.2.2. Capillaries .. .. .. .. .. .. .. .. .. .. .. 4.2.5.2.3. Quasi-Bragg re¯ectors.. .. .. .. .. .. .. 4.2.5.3. Filters .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.5.4. Monochromators .. .. .. .. .. .. .. .. .. .. .. 4.2.5.4.1. Crystal monochromators .. .. .. .. .. .. 4.2.5.4.2. Laboratory monochromator systems .. .. 4.2.5.4.3. Multiple-re¯ection monochromators for sources .. .. .. .. .. .. .. .. .. .. .. .. 4.2.5.4.4. Polarization .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. use with laboratory and .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. synchrotron-radiation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

236 237 237 238 238 238 239

4.2.6. X-ray dispersion corrections (D. C. Creagh) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

241

4.2.6.1. De®nitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.1.1. Rayleigh scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.1.2. Thomson scattering by a free electron .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.1.3. Elastic scattering from electrons bound to atoms: the atomic scattering factor, the atomic form factor, and the dispersion corrections .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.2. Theoretical approaches for the calculation of the dispersion corrections.. .. .. .. .. .. .. .. .. .. 4.2.6.2.1. The classical approach .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.2.2. Non-relativistic theories .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.2.3. Relativistic theories .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.2.3.1. Cromer and Liberman: relativistic dipole approach .. .. .. .. .. .. .. .. .. .. 4.2.6.2.3.2. The scattering matrix formalism .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.2.4. Intercomparison of theories .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.3. Modern experimental techniques .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.3.1. Determination of the real part of the dispersion correction: f 0 …!; 0† .. .. .. .. .. .. .. .. 4.2.6.3.2. Determination of the real part of the dispersion correction: f 0 …!; D† .. .. .. .. .. .. .. .. 4.2.6.3.2.1. Measurements using the dynamical theory of X-ray diffraction .. .. .. .. .. .. 4.2.6.3.2.2. Friedel- and Bijvoet-pair techniques .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.3.3. Comparison of theory with experiment .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.3.3.1. Measurements in the high-energy limit …!=! ! 0†.. .. .. .. .. .. .. .. .. .. 4.2.6.3.3.2. Measurements in the vicinity of an absorption edge .. .. .. .. .. .. .. .. .. 4.2.6.3.3.3. Accuracy in the tables of dispersion corrections .. .. .. .. .. .. .. .. .. .. .. 4.2.6.3.3.4. Towards a tensor formalism .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.3.3.5. Summary .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.4. Table of wavelengths, energies, and linewidths used in compiling the tables of the dispersion corrections .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.2.6.5. Tables of the dispersion corrections for forward scattering, averaged polarization using the relativistic multipole approach.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.1. Values of Etot =mc2 listed as a function of atomic number Z .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.2(a). Comparison between the S-matrix calculations of Kissel (1977) and the form-factor calculations of Cromer & Liberman (1970, 1981, 1983) and Creagh & McAuley for the noble gases and several common metals .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.2(b). A comparison of the real part of the forward-scattering amplitudes computed using different theoretical approaches .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.3. A comparison of the imaginary part of the forward-scattering amplitudes f 00 (!; 0) computed using different theoretical approaches .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.4. Comparison of measurements of the real part of the dispersion correction for LiF, Si, Al and Ge for characteristic wavelengths Ag K1 , Mo K1 and Cu K1 with theoretical predictions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.5. Comparison of measurements of f 0 (!; 0) for C, Si and Cu for characteristic wavelengths Ag K1 , Mo K1 and Cu K1 with theoretical predictions .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.6. Comparison of f 0 (!A ; 0) for copper, nickel, zirconium, and niobium for theoretical and experimental data sets.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.7. List of wavelengths, energies, and linewidths used in compiling the table of dispersion corrections .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.2.6.8. Dispersion corrections for forward scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

242 242 242

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242 243 243 244 245 245 246 248 248 248 250 250 251 251 251 252 253 253 258 258 258 246 249 249 250 252 253 254 254 255

4.3. Electron Diffraction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

259

4.3.1. Scattering factors for the diffraction of electrons by crystalline solids (J. M. Cowley) .. .. .. .. .. .. .. ..

259

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CONTENTS 4.3.1.1. Elastic scattering from a perfect crystal .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.1.2. Atomic scattering factors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.1.3. Approximations of restricted validity.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.1.4. Relativistic effects .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.1.5. Absorption effects .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.1.6. Tables of atomic scattering amplitudes for electrons .. .. .. .. .. .. .. .. .. .. .. .. 4.3.1.7. Use of Tables 4.3.1.1 and 4.3.1.2 .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.3.1.1. Atomic scattering amplitudes for electrons for neutral atoms .. .. .. .. .. .. .. .. Table 4.3.1.2. Atomic scattering amplitudes for electrons for ionized atoms .. .. .. .. .. .. .. 4.3.2. Parameterizations of electron atomic scattering factors (J. M. Cowley, L. M. Peng, G. Ren, S. L. and M. J. Whelan) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.3.2.1. Parameters useful in electron diffraction as a function of accelerating voltage .. .. Ê ÿ1 Table 4.3.2.2. Elastic atomic scattering factors of electrons for neutral atoms and s up to 2.0 A Ê ÿ1 Table 4.3.2.3. Elastic atomic scattering factors of electrons for neutral atoms and s up to 6.0 A 4.3.3.

4.3.4.

4.3.5.

4.3.6.

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Dudarev, .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Complex scattering factors for the diffraction of electrons by gases (A. W. Ross, M. Fink, R. Hilderbrandt, J. Wang, and V. H. Smith Jr) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.3.2. Complex atomic scattering factors for electrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.3.2.1. Elastic scattering factors for atoms .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.3.2.2. Total inelastic scattering factors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.3.2.3. Corrections for defects in the theory of atomic scattering .. .. .. .. .. .. .. .. .. .. .. 4.3.3.3. Molecular scattering factors for electrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.3.3.1. Partial wave elastic scattering factors for neutral atoms .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.3.3.2. Inelastic scattering factors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Electron energy-loss spectroscopy on solids (C. Colliex) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.1. De®nitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.1.1. Use of electron beams .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.1.2. Parameters involved in the description of a single inelastic scattering event .. .. .. .. .. 4.3.4.1.3. Problems associated with multiple scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.1.4. Classi®cation of the different types of excitations contained in an electron energy-loss spectrum .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.2. Instrumentation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.2.1. General instrumental considerations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.2.2. Spectrometers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.2.3. Detection systems .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.3. Excitation spectrum of valence electrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.3.1. Volume plasmons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.3.2. Dielectric description .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.3.3. Real solids.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.3.4. Surface plasmons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.4. Excitation spectrum of core electrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.4.1. De®nition and classi®cation of core edges .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.4.2. Bethe theory for inelastic scattering by an isolated atom .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.4.3. Solid-state effects .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.4.4. Applications of core-loss spectroscopy .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.4.5. Conclusions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.3.4.1. Different possibilities for using EELS information as a function of the different accessible parameters (r, ,
E) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.3.4.2. Plasmon energies measured (and calculated) for a few simple metals .. .. .. .. .. .. .. .. Table 4.3.4.3. Experimental and theoretical values for the coef®cient  in the plasmon dispersion curve together with estimates of the cut-off wavevector .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.3.4.4. Comparison of measured and calculated values for the halfwidth
E1=2 (0) of the plasmon line .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Oriented texture patterns (B. B. Zvyagin) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.5.1. Texture patterns .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.5.2. Lattice plane oriented perpendicular to a direction (lamellar texture) .. .. .. .. .. .. .. .. .. .. 4.3.5.3. Lattice direction oriented parallel to a direction (®bre texture).. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.5.4. Applications to metals and organic materials .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Computation of dynamical wave amplitudes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. xvi

10 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

259 259 260 260 261 261 261 263 272 262 281 282 284 262 262 262 262 389 390 390 286 378 391 391 391 392 392 393 394 394 395 397 397 397 399 401 403 404 404 406 408 410 411 394 397 398 398 412 412 412 413 414 414

CONTENTS 4.3.6.1. The multislice method (D. F. Lynch).. .. .. .. .. .. 4.3.6.2. The Bloch-wave method (A. Howie) .. .. .. .. .. .. 4.3.7. Measurement of structure factors and determination of crystal and J. W. Steeds) .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.8. Crystal structure determination by high-resolution electron 4.3.8.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. 4.3.8.2. Lattice-fringe images .. .. .. .. .. .. .. .. .. .. 4.3.8.3. Crystal structure images .. .. .. .. .. .. .. .. .. 4.3.8.4. Parameters affecting HREM images .. .. .. .. .. 4.3.8.5. Computing methods .. .. .. .. .. .. .. .. .. .. 4.3.8.6. Resolution and hyper-resolution .. .. .. .. .. .. 4.3.8.7. Alternative methods .. .. .. .. .. .. .. .. .. .. 4.3.8.8. Combined use of HREM and electron diffraction

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. thickness by electron diffraction (J. Gjùnnes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

419 419 421 422 424 425 427 427 428

4.4. Neutron Techniques .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

430

4.4.1. Production of neutrons (J. M. Carpenter and G. Lander) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

430

4.4.2. Beam-de®nition devices (I. S. Anderson and O. SchaÈrpf) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.2. Collimators .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.3. Crystal monochromators .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.4. Mirror re¯ection devices .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.4.1. Neutron guides .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.4.2. Focusing mirrors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.4.3. Multilayers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.4.4. Capillary optics .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.5. Filters .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.6. Polarizers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.6.1. Single-crystal polarizers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.6.2. Polarizing mirrors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.6.3. Polarizing ®lters .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.6.4. Zeeman polarizer .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.7. Spin-orientation devices .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.7.1. Maintaining the direction of polarization .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.7.2. Rotation of the polarization direction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.7.3. Flipping of the polarization direction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.2.8. Mechanical choppers and selectors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.4.2.1. Some important properties of materials used for neutron monochromator crystals .. Table 4.4.2.2. Neutron scattering-length densities, Nbcoh, for some commonly used materials .. .. .. Table 4.4.2.3. Characteristics of some typical elements and isotopes used as neutron ®lters .. .. .. Table 4.4.2.4. Properties of polarizing crystal monochromators.. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.4.2.5. Scattering-length densities for some typical materials used for polarizing multilayers .. 4.4.3. Resolution functions (R. Pynn and J. M. Rowe) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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431 431 431 432 435 435 436 436 437 438 438 438 440 440 442 442 442 442 442 443 433 435 439 440 441 443

4.4.4. Scattering lengths for neutrons (V. F. Sears) .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.4.1. Scattering lengths .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.4.2. Scattering and absorption cross sections.. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.4.3. Isotope effects .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.4.4. Correction for electromagnetic interactions .. .. .. .. .. .. .. .. .. .. .. 4.4.4.5. Measurement of scattering lengths .. .. .. .. .. .. .. .. .. .. .. .. .. .. 4.4.4.6. Compilation of scattering lengths and cross sections .. .. .. .. .. .. .. .. Table 4.4.4.1. Bound scattering lengths, b, and cross sections, , of the elements and 4.4.5. Magnetic form factors (P. J. Brown) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.4.5.1. h j0 i form factors for 3d transition elements and their ions .. .. .. .. Table 4.4.5.2. h j0 i form factors for 4d atoms and their ions .. .. .. .. .. .. .. .. .. Table 4.4.5.3. h j0 i form factors for rare-earth ions .. .. .. .. .. .. .. .. .. .. .. .. Table 4.4.5.4. h j0 i form factors for actinide ions .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.4.5.5. h j2 i form factors for 3d transition elements and their ions .. .. .. .. Table 4.4.5.6. h j2 i form factors for 4d atoms and their ions .. .. .. .. .. .. .. .. .. Table 4.4.5.7. h j2 i form factors for rare-earth ions .. .. .. .. .. .. .. .. .. .. .. .. Table 4.4.5.8. h j2 i form factors for actinide ions .. .. .. .. .. .. .. .. .. .. .. .. .. Table 4.4.5.9. h j4 i form factors for 3d atoms and their ions .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

444 444 452 452 453 453 453 445 454 454 455 455 455 456 457 457 457 458

11 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

(J. .. .. .. .. .. .. .. ..

C. H. Spence .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

416

and J. M. Cowley) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

xvii

microscopy .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

414 415

.. .. .. .. .. .. .. .. .. .. .. .. .. .. their .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. isotopes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

CONTENTS Table 4.4.5.10. h j4 i form factors for 4d atoms and their Table 4.4.5.11. h j4 i form factors for rare-earth ions.. .. Table 4.4.5.12. h j4 i form factors for actinide ions .. .. Table 4.4.5.13. h j6 i form factors for rare-earth ions.. .. Table 4.4.5.14. h j6 i form factors for actinide ions .. .. 4.4.6. Absorption coef®cients for neutrons (B. T. M. Willis) .. Table 4.4.6.1. Absorption of the elements for neutrons References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

ions .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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459 459 459 460 460 461 461 462

PART 5: DETERMINATION OF LATTICE PARAMETERS .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

489

5.1. Introduction (A. J. C. Wilson) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

490

5.2. X-ray Diffraction Methods: Polycrystalline (W. Parrish, A. J. C. Wilson, and J. I. Langford) .. .. ..

491

5.2.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.1.1. The techniques available .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.1.2. Errors and aberrations: general discussion .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.1.3. Errors of the Bragg angle .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.1.4. Bragg angle: operational de®nitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 5.2.1.1. Functions of the cell angles in equation (5.2.1.3) for the possible unit cells 5.2.2. Wavelength and related problems .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.2.1. Errors and uncertainties in wavelength .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.2.2. Refraction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.2.3. Statistical ¯uctuations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.3. Geometrical and physical aberrations.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.3.1. Aberrations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.3.2. Extrapolation, graphical and analytical .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.4. Angle-dispersive diffractometer methods: conventional sources .. .. .. .. .. .. .. .. .. Table 5.2.4.1. Centroid displacement h
=i and variance W of certain aberrations of diffractometer .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.5. Angle-dispersive diffractometer methods: synchrotron sources .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

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.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. angle-dispersive .. .. .. .. .. .. .. .. .. .. .. ..

491 491 491 491 491 492 492 492 492 492 493 493 493 495

5.2.6. Whole-pattern methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

496

5.2.7. Energy-dispersive techniques .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 5.2.7.1. Centroid displacement h
E=Ei and variance W of certain aberrations of an energy-dispersive diffractometer .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.2.8. Camera methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 5.2.8.1. Some geometrical aberrations in the Debye±Scherrer method .. .. .. .. .. .. .. .. .. .. .. 5.2.9. Testing for remanent systematic error .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

496 497 497 498 498

5.2.10. Powder-diffraction standards .. .. .. .. .. .. .. .. .. .. .. .. Table 5.2.10.1. NIST values for silicon standards .. .. .. .. .. Table 5.2.10.2. Re¯ection angles for tungsten, silver, and silicon Table 5.2.10.3. Silicon standard re¯ection angles.. .. .. .. .. .. Table 5.2.10.4. Silicon standard high re¯ection angles .. .. .. .. Table 5.2.10.5. Tungsten re¯ection angles .. .. .. .. .. .. .. .. Table 5.2.10.6. Fluorophlogopite standard re¯ection angles .. .. Table 5.2.10.7. Silver behenate standard re¯ection angles .. .. .. 5.2.11. Intensity standards.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 5.2.11.1. NIST intensity standards, SRM 674 .. .. .. .. .. 5.2.12. Instrumental line-pro®le-shape standards .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. ..

498 499 499 500 501 502 503 503 500 503 501

5.2.13. Factors determining accuracy .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

501

5.3. X-ray Diffraction Methods: Single Crystal (E. Gal-decka).. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

505

5.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. 5.3.1.1. General remarks.. .. .. .. .. .. .. .. 5.3.1.2. Introduction to single-crystal methods 5.3.2. Photographic methods .. .. .. .. .. .. .. .. .. 5.3.2.1. Introduction .. .. .. .. .. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

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xviii

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494 495

505 505 506 508 508

CONTENTS 5.3.2.2. The Laue method .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.3. Moving-crystal methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.3.1. Rotating-crystal method .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.3.2. Moving-®lm methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.3.3. Combined methods.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.3.4. Accurate and precise lattice-parameter determinations .. .. .. .. .. .. .. 5.3.2.3.5. Photographic cameras for investigation of small lattice-parameter changes .. 5.3.2.4. The Kossel method and divergent-beam techniques.. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.4.1. The principle .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.4.2. Review of methods of accurate lattice-parameter determination .. .. .. .. 5.3.2.4.3. Accuracy and precision .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.2.4.4. Applications .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3. Methods with counter recording .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. ..

508 508 508 509 509 509 510 510 510 512 515 515 516

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. the experiment .. .. .. .. .. .. .. .. .. .. .. .. applications .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

537

5.3.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.2. Standard diffractometers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.2.1. Four-circle diffractometer .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.2.2. Two-circle diffractometer.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.3. Data processing and optimization of the experiment .. .. .. .. .. .. .. .. .. .. 5.3.3.3.1. Models of the diffraction pro®le .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.3.2. Precision and accuracy of the Bragg-angle determination; optimization of 5.3.3.4. One-crystal spectrometers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.4.1. General characteristics .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.4.2. Development of methods based on an asymmetric arrangement and their 5.3.3.4.3. The Bond method .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.4.3.1. Description of the method .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.4.3.2. Systematic errors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.4.3.3. Development of the Bond method and its applications .. .. 5.3.3.4.3.4. Advantages and disadvantages of the Bond method .. .. .. 5.3.3.5. Limitations of traditional methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.6. Multiple-diffraction methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.7. Multiple-crystal ± pseudo-non-dispersive techniques .. .. .. .. .. .. .. .. .. .. 5.3.3.7.1. Double-crystal spectrometers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.7.2. Triple-crystal spectrometers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.7.3. Multiple-beam methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.7.4. Combined methods.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.3.8. Optical and X-ray interferometry ± a non-dispersive technique .. .. .. .. .. .. .. 5.3.3.9. Lattice-parameter and wavelength standards .. .. .. .. .. .. .. .. .. .. .. .. .. 5.3.4. Final remarks .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.4. Electron-Diffraction Methods

5.4.1. Determination of cell parameters from single-crystal patterns (A. W. S. Johnson) 5.4.1.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.4.1.2. Zero-zone analysis .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 5.4.1.3. Non-zero-zone analysis .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 5.4.1.1. Unit-cell information available for photographic recording .. .. .. 5.4.2. Kikuchi and HOLZ techniques (A. Olsen) .. .. .. .. .. .. .. .. .. .. .. .. .. ..

541

References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

541

PART 6: INTERPRETATION OF DIFFRACTED INTENSITIES .. .. .. .. .. .. .. .. .. .. .. .. ..

553

6.1. Intensity of Diffracted Intensities .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

554

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5.5. Neutron Methods (B. T. M. Willis) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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537 537 538 538 537 538

A. O'Keefe) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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6.1.1. X-ray scattering (E. N. Maslen, A. G. Fox, and M. 6.1.1.1. Coherent (Rayleigh) scattering .. .. .. .. 6.1.1.2. Incoherent (Compton) scattering .. .. .. 6.1.1.3. Atomic scattering factor .. .. .. .. .. .. 6.1.1.3.1. Scattering-factor interpolation ..

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554 554 554 554 565

CONTENTS 6.1.1.4. Generalized scattering factors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.5. The temperature factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.6. The generalized temperature factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.6.1. Gram±Charlier series .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.6.2. Fourier-invariant expansions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.6.3. Cumulant expansion .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.6.4. Curvilinear density functions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.6.5. Model-based curvilinear density functions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.6.6. The quasi-Gaussian approximation for curvilinear motion .. .. .. .. .. .. .. .. .. .. .. 6.1.1.7. Structure factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.1.8. Re¯ecting power of a crystal .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 6.1.1.1. Mean atomic scattering factors in electrons for free atoms .. .. .. .. .. .. .. .. .. .. .. .. Table 6.1.1.2. Spherical bonded hydrogen-atom scattering factors.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 6.1.1.3. Mean atomic scattering factors in electrons for chemically signi®cant ions .. .. .. .. .. .. .. Table 6.1.1.4. Coef®cients for analytical approximation to the scattering factors of Tables 6.1.1.1 and 6.1.1.3 Table 6.1.1.5. Coef®cients for analytical approximation to the scattering factors of Table 6.1.1.1 for Ê ÿ1 .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. the range 2:0 < (sin )/l < 6:0 A Table 6.1.1.6. Angle dependence of multipole functions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 6.1.1.7. Indices allowed by the site symmetry for the real form of the spherical harmonics Ylmp…;'† .. Table 6.1.1.8. Cubic harmonics R 1 Klj (; ') for cubic site symmetries .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 6.1.1.9. fnl (; S) ˆ 0 rn exp(ÿr)jl (Sr)dr .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 6.1.1.10. Indices nmp allowed by the site symmetry for the functions Hn (z)mp (').. .. .. .. .. .. .. Table 6.1.1.11. Indices nx ; ny ; nz allowed for the basis functions Hnx (Ax)Hny (By)Hnz (Cz).. .. .. .. .. .. .. 6.1.2. Magnetic scattering of neutrons (P. J. Brown).. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.2.1. Glossary of symbols .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.2.2. General formulae for the magnetic cross section .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.2.3. Calculation of magnetic structure factors and cross sections .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.2.4. The magnetic form factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.2.5. The scattering cross section for polarized neutrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.2.6. Rotation of the polarization of the scattered neutrons .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.3. Nuclear scattering of neutrons (B. T. M. Willis) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.3.1. Glossary of symbols .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.3.2. Scattering by a single nucleus .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.3.3. Scattering by a single atom .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.1.3.4. Scattering by a single crystal .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

581 583 584 585 586 586 587 590 590 591 591 592 592 593 593 593 593 594 594

6.2. Trigonometric Intensity Factors (H. Lipson, J. I. Langford and H.-C. Hu) .. .. .. .. .. .. .. .. .. .. ..

596

6.2.1. Expressions for intensity of diffraction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 6.2.1.1. Summary of formulae for integrated powers of re¯ection .. .. .. .. .. .. .. .. .. .. .. .. .. 6.2.2. The polarization factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

596 597 596

6.2.3. The angular-velocity factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

596

6.2.4. The Lorentz factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

596

6.2.5. Special factors in the powder method

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

596

6.2.6. Some remarks about the integrated re¯ection power ratio formulae for single-crystal slabs .. .. .. .. .. ..

598

6.2.7. Other factors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

598

6.3. X-ray Absorption (E. N. Maslen) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

599

6.3.1. Linear absorption coef®cient .. .. .. .. .. .. .. .. 6.3.1.1. True or photoelectric absorption .. .. .. .. 6.3.1.2. Scattering .. .. .. .. .. .. .. .. .. .. .. .. 6.3.1.3. Extinction .. .. .. .. .. .. .. .. .. .. .. .. 6.3.1.4. Attenuation (mass absorption) coef®cients .. 6.3.2. Dispersion .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 6.3.3. Absorption corrections.. .. .. .. .. .. 6.3.3.1. Special cases .. .. .. .. .. .. 6.3.3.2. Cylinders and spheres .. .. .. 6.3.3.3. Analytical method for crystals 6.3.3.4. Gaussian integration .. .. ..

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599 599 599 599 600 600

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600 600 600 604 606

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565 584 585 586 586 588 588 589 590 590 590 555 565 566 578

CONTENTS 6.3.3.5. Empirical methods .. .. .. .. .. .. .. .. .. .. 6.3.3.6. Measuring crystals for absorption .. .. .. .. .. Table 6.3.3.1. Transmission coef®cients .. .. .. .. .. .. Table 6.3.3.2. Values of A* for cylinders .. .. .. .. .. Table 6.3.3.3. Values of A* for spheres .. .. .. .. .. .. Table 6.3.3.4. Values of (1/A*)(dA*/dR) for spheres .. Table 6.3.3.5. Coef®cients for interpolation of A* and T

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607 608 601 602 602 603 603

6.4. The Flow of Radiation in a Real Crystal (T. M. Sabine) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

609

6.4.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

609

6.4.2. The model of a real crystal .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

609

6.4.3. Primary and secondary extinction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

609

6.4.4. Radiation ¯ow

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610

6.4.5. Primary extinction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

610

6.4.6. The ®nite crystal .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

610

6.4.7. Angular variation of E.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

610

6.4.8. The value of x

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610

6.4.9. Secondary extinction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

611

6.4.10. The extinction factor .. .. .. .. .. .. .. 6.4.10.1. The correlated block model .. 6.4.10.2. The uncorrelated block model 6.4.11. Polarization .. .. .. .. .. .. .. .. .. ..

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611 611 611 611

6.4.12. Anisotropy .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

612

6.4.13. Asymptotic behaviour of the integrated intensity .. .. .. .. 6.4.13.1. Non-absorbing crystal, strong primary extinction .. 6.4.13.2. Non-absorbing crystal, strong secondary extinction 6.4.13.3. The absorbing crystal.. .. .. .. .. .. .. .. .. .. .. 6.4.14. Relationship with the dynamical theory .. .. .. .. .. .. ..

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612 612 612 612 612

6.4.15. De®nitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

612

References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

613

PART 7: MEASUREMENT OF INTENSITIES .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

617

7.1. Detectors for X-rays .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

618

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7.1.1. Photographic ®lm (P. M. de Wolff) .. .. .. .. 7.1.1.1. Visual estimation .. .. .. .. .. .. .. 7.1.1.2. Densitometry .. .. .. .. .. .. .. .. .. 7.1.2. Geiger counters (W. Parrish and J. I. Langford)

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618 618 618 618

7.1.3. Proportional counters (W. Parrish) .. .. .. .. .. .. .. .. .. 7.1.3.1. The detector system .. .. .. .. .. .. .. .. .. .. .. 7.1.3.2. Proportional counters .. .. .. .. .. .. .. .. .. .. .. 7.1.3.3. Position-sensitive detectors .. .. .. .. .. .. .. .. .. 7.1.3.4. Resolution, discriminination, ef®ciency .. .. .. .. .. 7.1.4. Scintillation and solid-state detectors (W. Parrish) .. .. .. .. 7.1.4.1. Scintillation counters .. .. .. .. .. .. .. .. .. .. .. 7.1.4.2. Solid-state detectors .. .. .. .. .. .. .. .. .. .. .. 7.1.4.3. Energy resolution and pulse-amplitude discrimination 7.1.4.4. Quantum-counting ef®ciency and linearity .. .. .. .. 7.1.4.5. Escape peaks .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.1.5. Energy-dispersive detectors (B. Buras and L. Gerward) .. ..

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619 619 619 619 619 619 619 620 620 621 622 622

7.1.6. Position-sensitive detectors (U. W. Arndt) .. 7.1.6.1. Choice of detector .. .. .. .. .. .. 7.1.6.1.1. Detection ef®ciency .. .. 7.1.6.1.2. Linearity of response .. .. 7.1.6.1.3. Dynamic range .. .. .. ..

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623 623 624 624 625

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CONTENTS 7.1.6.1.4. Spatial resolution .. .. .. .. .. .. .. .. .. 7.1.6.1.5. Uniformity of response .. .. .. .. .. .. .. 7.1.6.1.6. Spatial distortion .. .. .. .. .. .. .. .. .. 7.1.6.1.7. Energy discrimination .. .. .. .. .. .. .. .. 7.1.6.1.8. Suitability for dynamic measurements .. .. 7.1.6.1.9. Stability .. .. .. .. .. .. .. .. .. .. .. .. 7.1.6.1.10. Size and weight .. .. .. .. .. .. .. .. .. 7.1.6.2. Gas-®lled counters .. .. .. .. .. .. .. .. .. .. .. .. 7.1.6.2.1. Localization of the detected photon .. .. .. 7.1.6.2.2. Parallel-plate counters.. .. .. .. .. .. .. .. 7.1.6.2.3. Current ionization PSD's .. .. .. .. .. .. .. 7.1.6.3. Semiconductor detectors .. .. .. .. .. .. .. .. .. .. 7.1.6.3.1. X-ray-sensitive semiconductor PSD's.. .. .. 7.1.6.3.2. Light-sensitive semiconductor PSD's .. .. .. 7.1.6.3.3. Electron-sensitive PSD's .. .. .. .. .. .. .. 7.1.6.4. Devices with an X-ray-sensitive photocathode .. .. 7.1.6.5. Television area detectors with external phosphor .. 7.1.6.5.1. X-ray phosphors.. .. .. .. .. .. .. .. .. .. 7.1.6.5.2. Light coupling .. .. .. .. .. .. .. .. .. .. 7.1.6.5.3. Image intensi®ers .. .. .. .. .. .. .. .. .. 7.1.6.5.4. TV camera tubes .. .. .. .. .. .. .. .. .. 7.1.6.6. Some applications .. .. .. .. .. .. .. .. .. .. .. .. Table 7.1.6.1. The importance of some detector properties for Table 7.1.6.2. X-ray phosphors .. .. .. .. .. .. .. .. .. .. 7.1.7. X-ray-sensitive TV cameras (J. Chikawa) .. .. .. .. .. .. .. 7.1.7.1. Signal-to-noise ratio .. .. .. .. .. .. .. .. .. .. .. 7.1.7.2. Imaging system .. .. .. .. .. .. .. .. .. .. .. .. .. 7.1.7.3. Image processing .. .. .. .. .. .. .. .. .. .. .. .. 7.1.8. Storage phosphors (Y. Amemiya and J. Chikawa) .. .. .. ..

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625 625 625 625 626 626 626 626 627 627 628 629 629 630 630 630 630 631 632 632 632 632 624 631 633 633 634 635 635

7.2. Detectors for Electrons (J. N. Chapman) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

639

7.2.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

639

7.2.2. Characterization of detectors

639

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7.2.3. Parallel detectors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.2.3.1. Fluorescent screens .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.2.3.2. Photographic emulsions .. .. .. .. .. .. .. .. .. .. .. .. 7.2.3.3. Detector systems based on an electron-tube device .. .. .. 7.2.3.4. Electronic detection systems based on solid-state devices .. 7.2.3.5. Imaging plates .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.2.4. Serial detectors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.2.4.1. Faraday cage .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.2.4.2. Scintillation detectors .. .. .. .. .. .. .. .. .. .. .. .. .. 7.2.4.3. Semiconductor detectors .. .. .. .. .. .. .. .. .. .. .. .. 7.2.5. Conclusions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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640 640 640 641 641 641 642 642 642 642 643

7.3. Thermal Neutron Detection (P. Convert and P. Chieux) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

644

7.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

644

7.3.2. Neutron capture .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 7.3.2.1. Neutron capture reactions used in neutron detection .. .. .. 7.3.3. Neutron detection processes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.3.3.1. Detection via gas converter and gas ionization: the gas detector .. 7.3.3.2. Detection via solid converter and gas ionization: the foil detector .. 7.3.3.3. Detection via scintillation .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.3.3.4. Films .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 7.3.3.1. Commonly used detection processes .. .. .. .. .. .. .. .. .. Table 7.3.3.2. A few examples of gas-detector characteristics.. .. .. .. .. .. 7.3.4. Electronic aspects of neutron detection .. .. .. .. .. .. .. .. .. .. .. .. .. 7.3.4.1. The electronic chain .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

644 645 644 644 645 645 646 646 646 648 648

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CONTENTS 7.3.4.2. Controls and adjustments of the electronics 7.3.5. Typical detection systems .. .. .. .. .. .. .. .. .. .. 7.3.5.1. Single detectors .. .. .. .. .. .. .. .. .. .. 7.3.5.2. Position-sensitive detectors .. .. .. .. .. .. 7.3.5.3. Banks of detectors .. .. .. .. .. .. .. .. .. Table 7.3.5.1. Characteristics of some PSDs .. .. .. 7.3.6. Characteristics of detection systems .. .. .. .. .. ..

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648 649 649 649 650 651 651

7.3.7. Corrections to the intensity measurements 7.3.7.1. Single detector .. .. .. .. .. .. 7.3.7.2. Banks of detectors .. .. .. .. .. 7.3.7.3. Position-sensitive detectors .. ..

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652 652 652 652

7.4. Correction of Systematic Errors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

653

7.4.1. Absorption.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

653

7.4.2. Thermal diffuse scattering (B. T. M. Willis) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.2.1. Glossary of symbols .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.2.2. TDS correction factor for X-rays (single crystals) .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.2.2.1. Evaluation of J(q) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.2.2.2. Calculation of  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.2.3. TDS correction factor for thermal neutrons (single crystals) .. .. .. .. .. .. .. .. .. .. 7.4.2.4. Correction factor for powders .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.3. Compton scattering (N. G. Alexandropoulos and M. J. Cooper) .. .. .. .. .. .. .. .. .. .. .. 7.4.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.3.2. Non-relativistic calculations of the incoherent scattering cross section .. .. .. .. .. .. 7.4.3.2.1. Semi-classical radiation theory .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.3.2.2. Thomas±Fermi model .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.3.2.3. Exact calculations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.3.3. Relativistic treatment of incoherent scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.3.4. Plasmon, Raman, and resonant Raman scattering .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.3.5. Magnetic scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 7.4.3.1. The energy transfer in the Compton scattering process for selected X-ray energies Table 7.4.3.2. The incoherent scattering function for elements up to Z = 55 .. .. .. .. .. .. .. Table 7.4.3.3. Compton scattering of Mo K X-radiation through 170 from 2s electrons .. .. .. 7.4.4. White radiation and other sources of backgound (P. Suortti) .. .. .. .. .. .. .. .. .. .. .. .. 7.4.4.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.4.2. Incident beam and sample .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.4.3. Detecting system .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 7.4.4.4. Powder diffraction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

653 653 654 654 655 656 657 657 657 657 657 659 659 659 660 661 657 658 659 661 661 661 663 664

7.5. Statistical Fluctuations (A. J. C. Wilson) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

666

7.5.1. Distributions of intensities of diffraction

depending .. .. .. .. .. .. .. .. .. .. .. ..

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666

7.5.2. Counting modes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

666

7.5.3. Fixed-time counting.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

666

7.5.4. Fixed-count timing .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

667

7.5.5. Complicating phenomena .. .. .. .. .. .. .. .. .. .. 7.5.5.1. Dead time .. .. .. .. .. .. .. .. .. .. .. .. 7.5.5.2. Voltage ¯uctuations .. .. .. .. .. .. .. .. 7.5.6. Treatment of measured-as-negative (and other weak)

.. .. .. ..

667 667 667 667

7.5.7. Optimization of counting times .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

667

References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

668

PART 8: REFINEMENT OF STRUCTURAL PARAMETERS .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

677

8.1. Least Squares (E. Prince and P. T. Boggs) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

678

8.1.1. De®nitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.1.1.1. Linear algebra .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.1.1.2. Statistics .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

678 678 679

.. .. .. .. .. .. .. .. .. .. .. .. intensities

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CONTENTS 8.1.2. Principles of least squares

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8.1.3. Implementation of linear least squares .. .. .. .. .. .. .. 8.1.3.1. Use of the QR factorization .. .. .. .. .. .. .. .. 8.1.3.2. The normal equations .. .. .. .. .. .. .. .. .. .. 8.1.3.3. Conditioning .. .. .. .. .. .. .. .. .. .. .. .. .. 8.1.4. Methods for nonlinear least squares .. .. .. .. .. .. .. .. 8.1.4.1. The Gauss±Newton algorithm .. .. .. .. .. .. .. 8.1.4.2. Trust-region methods ± the Levenberg±Marquardt 8.1.4.3. Quasi-Newton, or secant, methods .. .. .. .. .. 8.1.4.4. Stopping rules .. .. .. .. .. .. .. .. .. .. .. .. 8.1.4.5. Recommendations .. .. .. .. .. .. .. .. .. .. .. 8.1.5. Numerical methods for large-scale problems .. .. .. .. .. 8.1.5.1. Methods for sparse matrices.. .. .. .. .. .. .. .. 8.1.5.2. Conjugate-gradient methods .. .. .. .. .. .. .. .. 8.1.6. Orthogonal distance regression .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. algorithm .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

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681 681 682 682 682 683 683 683 684 685 685 685 686 687

8.1.7. Software for least-squares calculations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

688

8.2. Other Refinement Methods (E. Prince and D. M. Collins) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

689

8.2.1. Maximum-likelihood methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

689

8.2.2. Robust/resistant methods .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

689

8.2.3. Entropy maximization .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.2.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.2.3.2. Some examples .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

691 691 691

8.3. Constraints and Restraints in Refinement (E. Prince, L. W. Finger, and J. H. Konnert)

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680

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693

8.3.1. Constrained models .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.3.1.1. Lagrange undetermined multipliers .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.3.1.2. Direct application of constraints .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.3.1.1. Symmetry conditions for second-cumulant tensors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.3.2. Stereochemically restrained least-squares re®nement .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.3.2.1. Stereochemical constraints as observational equations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.3.2.1. Coordinates of atoms in standard groups appearing in polypeptides and proteins .. .. .. .. Table 8.3.2.2. Ideal values for distances, torsion angles, etc. for a glycine±alanine dipeptide with a trans peptide bond .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.3.2.3. Typical values of standard deviations for use in determining weights in restrained re®nement of protein structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

693 693 693 695 698 698 699

8.4. Statistical Significance Tests (E. Prince and C. H. Spiegelman) .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

702

2

8.4.1. The v distribution .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.4.1.1. Values of 2 = for which the c.d.f. (2 ; ) has the values given in the column headings, for various values of  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.4.2. The F distribution .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.4.2.1. Values of the F ratio for which the c.d.f. (F;  1 ;  2 ) has the value 0.95, for various choices of  1 and  2 .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.4.3. Comparison of different models .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.4.3.1. Values of t for which the c.d.f. (t; ) has the values given in the column headings, for various values of  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.4.4. In¯uence of individual data points.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

700 701

702 703 703 704 704 704 705

8.5. Detection and Treatment of Systematic Error (E. Prince and C. H. Spiegleman) .. .. .. .. .. .. .. ..

707

8.5.1. Accuracy .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

707

8.5.2. Lack of ®t .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

707

8.5.3. In¯uential data points .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

708

8.5.4. Plausibility of results .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

709

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CONTENTS 8.6. The Rietveld Method (A. Albinati and B. T. M. Willis) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

710

8.6.1. Basic theory .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

710

8.6.2. Problems with the Rietveld method .. .. 8.6.2.1. Indexing .. .. .. .. .. .. .. .. 8.6.2.2. Peak-shape function (PSF) .. .. 8.6.2.3. Background .. .. .. .. .. .. .. 8.6.2.4. Preferred orientation and texture 8.6.2.5. Statistical validity .. .. .. .. ..

.. .. .. .. .. ..

711 711 711 711 712 712

.. .. .. .. .. .. .. .. ..

713

8.7.1. Outline of this chapter.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

713

8.7.2. Electron densities and the n-particle wavefunction.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

713

8.7.3. Charge densities .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.2. Modelling of the charge density .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.3. Physical constraints .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.3.1. Electroneutrality constraint .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.3.2. Cusp constraint .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.3.3. Radial constraint .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.3.4. Hellmann±Feynman constraint .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.4. Electrostatic moments and the potential due to a charge distribution.. .. .. .. .. .. .. .. 8.7.3.4.1. Moments of a charge distribution .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.4.1.1. Moments as a function of the atomic multipole expansion .. .. .. .. 8.7.3.4.1.2. Molecular moments based on the deformation density .. .. .. .. .. .. 8.7.3.4.1.3. The effect of an origin shift on the outer moments .. .. .. .. .. .. .. 8.7.3.4.1.4. Total moments as a sum over the pseudoatom moments .. .. .. .. .. 8.7.3.4.1.5. Electrostatic moments of a subvolume of space by Fourier summation 8.7.3.4.2. The electrostatic potential .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.4.2.1. The electrostatic potential and its derivatives .. .. .. .. .. .. .. .. .. 8.7.3.4.2.2. Electrostatic potential outside a charge distribution.. .. .. .. .. .. .. 8.7.3.4.2.3. Evaluation of the electrostatic functions in direct space .. .. .. .. .. 8.7.3.4.3. Electrostatic functions of crystals by modi®ed Fourier summation.. .. .. .. .. .. 8.7.3.4.4. The total energy of a crystal as a function of the electron density.. .. .. .. .. .. 8.7.3.5. Quantitative comparison with theory .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.6. Occupancies of transition-metal valence orbitals from multipole coef®cients .. .. .. .. .. 8.7.3.7. Thermal smearing of theoretical densities .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.7.1. General considerations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.7.2. Reciprocal-space averaging over external vibrations .. .. .. .. .. .. .. .. .. .. 8.7.3.8. Uncertainties in experimental electron densities .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.3.9. Uncertainties in derived functions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.7.3.1. De®nition of difference density functions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 8.7.3.2. Expressions for the shape factors S for a parallelepiped with edges x ; y ; and z .. .. Table 8.7.3.3. The matrix M ÿ1 relating d-orbital occupancies Pij to multipole populations Plm .. .. Table 8.7.3.4. Orbital±multipole relations for square-planar complexes (point group D4h) .. .. .. .. Table 8.7.3.5. Orbital±multipole relations for trigonal complexes .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4. Spin densities .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.2. Magnetization densities from neutron magnetic elastic scattering .. .. .. .. .. .. .. .. .. 8.7.4.3. Magnetization densities and spin densities .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.3.1. Spin-only density at zero temperature .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.3.2. Thermally averaged spin-only magnetization density .. .. .. .. .. .. .. .. .. .. 8.7.4.3.3. Spin density for an assembly of localized systems .. .. .. .. .. .. .. .. .. .. .. 8.7.4.3.4. Orbital magnetization density .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.4. Probing spin densities by neutron elastic scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.4.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.4.2. Unpolarized neutron scattering .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.4.3. Polarized neutron scattering.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

714 714 714 715 715 715 715 715 716 716 716 717 717 718 718 718 718 720 720 720 721 721 722 723 723 723 724 725 714 719 722 723 723 725 725 725 726 726 726 727 727 727 727 728 728

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8.7. Analysis of Charge and Spin Densities (P. Coppens, Z. Su, and P. J. Becker)

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CONTENTS 8.7.4.4.4. Polarized neutron scattering of centrosymmetric crystals .. .. 8.7.4.4.5. Polarized neutron scattering in the noncentrosymmetric case 8.7.4.4.6. Effect of extinction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.4.7. Error analysis .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.5. Modelling the spin density .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.5.1. Atom-centred expansion .. .. .. .. .. .. .. .. .. .. .. .. ..

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728 728 728 729 729 729

8.7.4.5.1.1. Spherical-atom model .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.5.1.2. Crystal-®eld approximation .. .. .. .. .. .. .. .. .. .. .. 8.7.4.5.1.3. Scaling of the spin density .. .. .. .. .. .. .. .. .. .. .. 8.7.4.5.2. General multipolar expansion .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.5.3. Other types of model .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.6. Orbital contribution to the magnetic scattering .. .. .. .. .. .. .. .. .. .. .. 8.7.4.6.1. The dipolar approximation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.6.2. Beyond the dipolar approximation .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.6.3. Electronic structure of rare-earth elements .. .. .. .. .. .. .. .. .. 8.7.4.7. Properties derivable from spin densities .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.7.1. Vector ®elds .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.7.2. Moments of the magnetization density .. .. .. .. .. .. .. .. .. .. .. 8.7.4.8. Comparison between theory and experiment .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.9. Combined charge- and spin-density analysis .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.10. Magnetic X-ray scattering separation between spin and orbital magnetism .. 8.7.4.10.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 8.7.4.10.2. Magnetic X-ray structure factor as a function of photon polarization

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729 729 730 730 730 730 731 731 731 731 732 732 732 732 733 733 733

8.8. Accurate Structure-Factor Determination with Electron Diffraction (J. Gjùnnes).. .. .. .. .. .. ..

735

References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

738

PART 9: BASIC STRUCTURAL FEATURES .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

745

9.1. Sphere Packings and Packings of Ellipsoids (E. Koch and W. Fischer) .. .. .. .. .. .. .. .. .. .. .. ..

746

9.1.1. Sphere packings and packings of circles .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

746

9.1.1.1. De®nitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.1.1.2. Homogeneous packings of circles .. .. .. .. .. .. .. .. 9.1.1.3. Homogeneous sphere packings .. .. .. .. .. .. .. .. .. 9.1.1.4. Applications .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.1.1.5. Interpenetrating sphere packings .. .. .. .. .. .. .. .. Table 9.1.1.1. Types of circle packings in the plane .. .. .. .. Table 9.1.1.2. Examples for sphere packings with high contact contact numbers and low densities .. .. .. .. .. 9.1.2. Packings of ellipses and ellipsoids .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. and with low .. .. .. .. .. .. .. .. .. ..

746 746 746 750 751 747

9.2. Layer Stacking .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

752

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. numbers and .. .. .. .. .. .. .. .. .. ..

9.2.1. Layer stacking in close-packed structures (D. Pandey and P. Krishna) .. 9.2.1.1. Close packing of equal spheres .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.1.1. Close-packed layer .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.1.2. Close-packed structures .. .. .. .. .. .. .. .. .. .. .. 9.2.1.1.3. Notations for close-packed structures .. .. .. .. .. .. 9.2.1.2. Structure of compounds based on close-packed layer stackings .. 9.2.1.2.1. Voids in close packing .. .. .. .. .. .. .. .. .. .. .. 9.2.1.2.2. Structures of SiC and ZnS .. .. .. .. .. .. .. .. .. .. 9.2.1.2.3. Structure of CdI2 .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.2.4. Structure of GaSe .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.3. Symmetry of close-packed layer stackings of equal spheres .. .. 9.2.1.4. Possible lattice types .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.5. Possible space groups .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.6. Crystallographic uses of Zhdanov symbols .. .. .. .. .. .. .. .. 9.2.1.7. Structure determination of close-packed layer stackings .. .. .. 9.2.1.7.1. General considerations .. .. .. .. .. .. .. .. .. .. .. 9.2.1.7.2. Determination of the lattice type .. .. .. .. .. .. .. .. xxvi

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.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

748 751

752 752 752 752 752 753 753 753 754 754 755 755 755 756 756 756 757

CONTENTS 9.2.1.7.3. Determination of the identity period.. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.7.4. Determination of the stacking sequence of layers .. .. .. .. .. .. .. .. .. 9.2.1.8. Stacking faults in close-packed structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.1.8.1. Structure determination of one-dimensionally disordered crystals .. .. .. .. Table 9.2.1.1. Common close-packed metallic structures .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.2.1.2. List of SiC polytypes with known structures in order of increasing periodicity .. Table 9.2.1.3. Intrinsic fault con®gurations in the 6H (A0B1C2A3C4B5,. . .) structure.. .. .. .. Table 9.2.1.4. Intrinsic fault con®gurations in the 9R (A0B1A2C0A1C2B0C1B2,. . .) structure .. Ï urovicÏ) .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2. Layer stacking in general polytypic structures (S. D 9.2.2.1. The notion of polytypism.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2. Symmetry aspects of polytypism .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.1. Close packing of spheres .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.2. Polytype families and OD groupoid families .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.3. MDO polytypes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.4. Some geometrical properties of OD structures .. .. .. .. .. .. .. .. .. .. 9.2.2.2.5. Diffraction pattern ± structure analysis .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.6. The vicinity condition .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.7. Categories of OD structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.7.1. OD structures of equivalent layers .. .. .. .. .. .. .. .. .. .. 9.2.2.2.7.2. OD structures with more than one kind of layer .. .. .. .. .. .. 9.2.2.2.8. Desymmetrization of OD structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.2.9. Concluding remarks .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.3. Examples of some polytypic structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.3.1. Hydrous phyllosilicates .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.3.1.1. General geometry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.3.1.2. Diffraction pattern and identi®cation of individual polytypes .. 9.2.2.3.2. Stibivanite Sb2VO5 .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.3.3. -Hg3S2Cl2 .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.3.4. Remarks for authors .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.2.2.4. List of some polytypic structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

757 757 758 759 753 754 758 759 760 760 761 761 761 762 762 763 763 764 764 765 765 766 766 766 767 769 769 771 772 772

9.3. Typical Interatomic Distances: Metals and Alloys (J. L. C. Daams, J. R. Rodgers, and P. Villars) ..

774

9.3.1. Glossary

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

777

9.4. Typical Interatomic Distances: Inorganic Compounds (G. Bergerhoff and K. Brandenburg) .. .. .. ..

778

9.4.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.1. Atomic distances between halogens and main-group elements in their preferred oxidation states .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.2. Atomic distances between halogens and main-group elements in their special oxidation states Table 9.4.1.3. Atomic distances between halogens and transition metals.. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.4. Atomic distances between halogens and lanthanoids .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.5. Atomic distances between halogens and actinoids .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.6. Atomic distances between oxygen and main-group elements in their preferred oxidation states Table 9.4.1.7. Atomic distances between oxygen and main-group elements in their special oxidation states .. Table 9.4.1.8. Atomic distances between oxygen and transition elements in their preferred and special oxidation states .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.9. Atomic distances between oxygen and lanthanoids .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.10. Atomic distances between oxygen and actinoids .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.11. Atomic distances in sul®des and thiometallates .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.4.1.12. Contact distances between some negatively charged elements .. .. .. .. .. .. .. .. .. .. .. 9.4.2. The retrieval system .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

778

9.4.3. Interpretation of frequency distributions

779 780 781 784 785 785 786 786 787 788 788 789 778

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

778

9.5. Typical Interatomic Distances: Organic Compounds (F. H. Allen, D. G. Watson, L. Brammer, A. G. Orpen, and R. Taylor) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

790

9.5.1. Introduction .. .. .. .. .. .. .. Table 9.5.1.1. Average lengths Br, Te and I .. 9.5.2. Methodology .. .. .. .. .. .. ..

.. .. .. .. for bonds .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. involving the elements .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. xxvii

21 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

.. H, .. ..

.. B, .. ..

.. .. .. .. .. .. C, N, O, F, Si, .. .. .. .. .. .. .. .. .. .. .. ..

.. P, .. ..

.. S, .. ..

.. Cl, .. ..

.. .. .. As, Se, .. .. .. .. .. ..

790 796 790

CONTENTS 9.5.2.1. 9.5.2.2. 9.5.2.3. 9.5.2.4.

Selection of crystallographic data Program system .. .. .. .. .. .. Classi®cation of bonds .. .. .. .. Statistics .. .. .. .. .. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

790 790 791 791

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

.. .. .. ..

791 792 792 793

9.5.4. Discussion .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

794

9.6. Typical Interatomic Distances: Organometallic Compounds and Coordination Complexes of the d- and f-Block Metals (A. G. Orpen, L. Brammer, F. H. Allen, D. G. Watson, and R. Taylor) .. .. ..

812

9.6.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

812

9.6.2. Methodology .. .. .. .. .. .. .. .. .. .. 9.6.2.1. Selection of crystallographic data 9.6.2.2. Program system .. .. .. .. .. .. 9.6.2.3. Classi®cation of bonds .. .. .. .. 9.6.2.4. Statistics .. .. .. .. .. .. .. ..

9.5.3. Content and arrangement of the table .. .. .. 9.5.3.1. Ordering of entries: the `Bond' column 9.5.3.2. De®nition of `Substructure' .. .. .. .. 9.5.3.3. Use of the `Note' column.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

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.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

812 812 813 813 813

9.6.3. Content and arrangement of table of interatomic distances 9.6.3.1. The `Bond' column .. .. .. .. .. .. .. .. .. .. .. 9.6.3.2. De®nition of `Substructure' .. .. .. .. .. .. .. .. 9.6.3.3. Use of the `Note' column.. .. .. .. .. .. .. .. .. 9.6.3.4. Locating an entry in Table 9.6.3.3 .. .. .. .. .. .. Table 9.6.3.1. Ligand index .. .. .. .. .. .. .. .. .. .. .. Table 9.6.3.2. Numbers of entries in Table 9.6.3.3 .. .. .. Table 9.6.3.3. Interatomic distances .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. ..

814 815 815 817 818 814 817 818

9.6.4. Discussion .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

818

9.7. The Space-Group Distribution of Molecular Organic Structures (A. J. C. Wilson, V. L. Karen, and A. Mighell) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

897

9.7.1. A priori classi®cations of space groups .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.1.1. Kitajgorodskij's categories .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.1.2. Symmorphism and antimorphism .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.1.3. Comparison of Kitajgorodskij's and Wilson's classi®cations .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.1.4. Relation to structural classes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.7.1.1. Kitajgorodskij's categorization of the triclinic, monoclinic and orthorhombic space groups Table 9.7.1.2. Space groups arranged by arithmetic crystal class and degree of symmorphism .. .. .. ..

.. .. .. .. .. .. ..

897 897 897 899 900 898 899

9.7.2. Special positions of given symmetry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.7.2.1. Statistics of the use of Wyckoff positions of speci®ed symmetry G in the homomolecular organic crystals .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

900

9.7.3. Empirical space-group frequencies.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

902

9.7.4. Use of molecular symmetry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.4.1. Positions with symmetry 1 .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.4.2. Positions with symmetry 1 .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.4.3. Other symmetries .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.4.4. Positions with the full symmetry of the geometric class .. .. .. .. Table 9.7.4.1. Occurrence of molecules with speci®ed point group in centred groups .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. symmmorphic and other space .. .. .. .. .. .. .. .. .. .. ..

902 902 902 903 903

9.7.5. Structural classes.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

904

9.7.6. A statistical model .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

904

9.7.7. Molecular packing .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.7.1. Relation to sphere packing .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.7.7.2. The hydrogen bond and the de®nition of the packing units .. .. .. .. .. .. .. .. .. .. .. .. .. ..

904 904 906

9.7.8. A priori predictions of molecular crystal structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

906

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903

905

CONTENTS 9.8. Incommensurate and Commensurate Modulated Structures (T. Janssen, A. Janner, A. Looijenga-Vos, and P. M. de Wolff) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.1.1. Modulated crystal structures.. .. .. .. .. .. .. .. .. .. 9.8.1.2. The basic ideas of higher-dimensional crystallography .. 9.8.1.3. The simple case of a displacively modulated crystal.. .. 9.8.1.3.1. The diffraction pattern .. .. .. .. .. .. .. .. 9.8.1.3.2. The symmetry .. .. .. .. .. .. .. .. .. .. .. 9.8.1.4. Basic symmetry considerations .. .. .. .. .. .. .. .. .. 9.8.1.4.1. Bravais classes of vector modules .. .. .. .. .. 9.8.1.4.2. Description in four dimensions .. .. .. .. .. .. 9.8.1.4.3. Four-dimensional crystallography .. .. .. .. .. 9.8.1.4.4. Generalized nomenclature .. .. .. .. .. .. .. 9.8.1.4.5. Four-dimensional space groups.. .. .. .. .. .. 9.8.1.5. Occupation modulation .. .. .. .. .. .. .. .. .. .. .. 9.8.2. Outline for a superspace-group determination.. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

907 907 908 909 909 909 910 910 911 911 912 912 913 913

9.8.3. Introduction to the tables.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.3.1. Tables of Bravais lattices .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.3.2. Table for geometric and arithmetic crystal classes .. .. .. .. .. .. .. .. .. .. 9.8.3.3. Tables of superspace groups.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.3.3.1. Symmetry elements.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.3.3.2. Re¯ection conditions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.3.4. Guide to the use of the tables .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.3.5. Examples .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.3.6. Ambiguities in the notation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 9.8.3.1(a). (2 ‡ 1)-Dimensional Bravais classes for incommensurate structures .. Table 9.8.3.1(b). (2 ‡ 2)-Dimensional Bravais classes for incommensurate structures .. Table 9.8.3.2(a). (3 ‡ 1)-Dimensional Bravais classes for incommensurate structures .. Table 9.8.3.2(b). (3 ‡ 1)-Dimensional Bravais classes for commensurate structures .. .. Table 9.8.3.3. (3 ‡ 1)-Dimensional point groups and arithmetic crystal classes .. .. Table 9.8.3.4(a). (2 ‡ 1)-Dimensional superspace groups.. .. .. .. .. .. .. .. .. .. .. Table 9.8.3.4(b). (2 ‡ 2)-Dimensional superspace groups .. .. .. .. .. .. .. .. .. .. Table 9.8.3.5. (3 ‡ 1)-Dimensional superspace groups .. .. .. .. .. .. .. .. .. .. Table 9.8.3.6. Centring re¯ection conditions for (3 ‡ 1)-dimensional Bravais classes 9.8.4. Theoretical foundation.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.1. Lattices and metric .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.2. Point groups .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.2.1. Laue class .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.2.2. Geometric and arithmetic crystal classes .. .. .. .. .. .. .. .. .. .. 9.8.4.3. Systems and Bravais classes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.3.1. Holohedry .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.3.2. Crystallographic systems .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.3.3. Bravais classes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.4. Superspace groups .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.4.1. Symmetry elements.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.4.4.2. Equivalent positions and modulation relations .. .. .. .. .. .. .. .. 9.8.4.4.3. Structure factor .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.5. Generalizations .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

915 915 916 916 916 921 935 936 936 915 916 917 918 919 920 921 922 935 937 937 938 938 939 939 939 940 940 940 940 940 941 941

9.8.5.1. Incommensurate composite crystal structures .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 9.8.5.2. The incommensurate versus the commensurate case .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

941 942 945

PART 10: PRECAUTIONS AGAINST RADIATION INJURY (D. C. Creagh and S. Martinez-Carrera) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

957

10.1. Introduction .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

958

10.1.1. De®nitions .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

958

Table 10.1.1. The relationship between SI and the earlier system of units .. .. .. .. .. .. .. .. .. .. .. ..

958

xxix

23 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. .. .. ..

907

CONTENTS Table 10.1.2. Maximum primary-dose limit per quarter .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Table 10.1.3. Quality factors (QF) .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

960 960

10.1.2. Objectives of radiation protection .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

960

10.1.3. Responsibilities .. .. .. .. .. 10.1.3.1. General .. .. .. .. 10.1.3.2. The radiation safety 10.1.3.3. The worker .. .. .. 10.1.3.4. Primary-dose limits

.. .. .. .. ..

960 960 960 960 961

10.2. Protection from Ionizing Radiation .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

962

10.2.1. General .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

962

10.2.2. Sealed sources and radiation-producing apparatus .. .. 10.2.2.1. Enclosed installations.. .. .. .. .. .. .. .. .. 10.2.2.2. Open installations .. .. .. .. .. .. .. .. .. .. 10.2.2.3. Sealed sources .. .. .. .. .. .. .. .. .. .. .. 10.2.2.4. X-ray diffraction and X-ray analysis apparatus 10.2.2.5. Particle accelerators .. .. .. .. .. .. .. .. ..

.. .. .. .. .. ..

962 962 962 962 962 962

10.2.3. Ionizing-radiation protection ± unsealed radioactive materials .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

963

10.3. Responsible Bodies .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

964

Table 10.3.1. Regulatory authorities

.. .. .. .. .. .. of®cer.. .. .. .. .. .. ..

.. .. .. .. ..

.. .. .. .. ..

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.. .. .. .. ..

.. .. .. .. ..

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.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

964

References .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

967

Author Index .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

968

Subject Index .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

984

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24 s:\ITFC\CONTENTS.3d (Tables of Crystallography)

Preface

By A. J. C. Wilson A new volume of the International Tables for Crystallography containing mathematical, physical and chemical tables was discussed by the Executive Committee of the International Union of Crystallography at least as early as August 1979. My own ideas about what has become Volume C began to develop in the course of the Executive Committee meeting held at the Ottawa Congress in August 1981. It was then conceived as an editorial condensation of the old volumes II, III and IV, with obsolete material deleted and tables easily reproduced on a pocket calculator reduced to a skeleton form or omitted altogether. However, it soon became obvious that advances since the old volumes were produced could not be satisfactorily accommodated within such a condensation, and that if Volume C were to be a worthy companion of Volume A (Space-Group Symmetry) and Volume B (Reciprocal Space) it would have to consist largely of new material. Work on Volumes B and C began of®cially on 1 January 1983, and the general outlines of the volumes were circulated to the Executive Committee, the National Committees, and others interested. This circulation generated much constructive criticism and offers of help, particularly from several Commissions of the Union. The Chairmen of certain Commissions were particularly helpful in ®nding quali®ed contributors of specialist sections, and from time to time served as members of the

Commission on International Tables for Crystallography. I often had occasion to lament the lack of a Commission on X-ray Diffraction. The revised outlines of the two volumes were approved by the Executive Committee during the Hamburg Congress in 1984. For various reasons the publication of Volume C has taken longer than expected. A requirement that prospective contributors should be approved by the Executive Committee produced some delays, and more serious delays were caused by authors who failed to deliver their contributions by the agreed date ± or at all. A decision was taken to include in this ®rst edition only what was in the Editor's hands in January 1990, and since that date the timetable has been set by the printers. The present Volume is the result. Readers will ®nd a few sections resulting from the original idea of editorial condensation from Volumes II, III and IV, and some sections from those volumes revised or rewritten by their original authors. Most of Volume C is entirely new. I am indebted to many crystallographers for advice and encouragement, to the authors of contributions that arrived before the deadline, to the Chairmen of various Commissions for their help, and to the Technical Editor for his skill and good humour in dealing with much dif®cult material.

Preface to the third edition By E. Prince

This is the third edition of International Tables for Crystallography Volume C. The purpose of this volume is to provide the mathematical, physical and chemical information needed for experimental studies in structural crystallography. It covers all aspects of experimental techniques, using all three principal radiation types, from the selection and mounting of crystals and production of radiation, through data collection and analysis, to the interpretation of results. As such, it is an essential source of information for all workers using crystallographic techniques in physics, chemistry, metallurgy, earth sciences and molecular biology. Volume C of International Tables for Crystallography is one of the many legacies to crystallographers of the late Professor A. J. C. Wilson, whose death on 1 July 1995 left the preparation of a revised and expanded second edition un®nished. When I was appointed as Professor Wilson's successor as Editor, I realised that although most of the material in the ®rst edition was new, some had been carried over from Volumes II,

III, and IV of the earlier series International Tables for X-ray Crystallography and had become outdated. Moreover, many of the topics covered were changing very rapidly, so needed to be brought up to date. In fact, by the time the second edition was published in 1999, more than half the chapters had been revised or updated and two completely new chapters, on re¯ectometry and neutron topography, had been included. The second edition of Volume C was also the ®rst volume of International Tables to be produced entirely electronically. The authors of the second edition were asked if they wished to submit revisions to their articles for this third edition in August 2001. All revisions were received within the following year. In total, 11 chapters have been revised, corrected or updated, and all known errors in the second edition have been corrected. I hope few new errors have been introduced. I thank all authors, especially those who have submitted revisions, and I particularly thank the Editorial staff in Chester for their continued dilligence.

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International Tables for Crystallography (2006). Vol. C, Chapter 1.1, pp. 2–5.

1.1. Summary of general formulae By E. Koch

In an ideal crystal structure, the arrangement of atoms is threedimensionally periodic. This periodicity is usually described in terms of point lattices, vector lattices, and translation groups [cf. IT A (1983, Section 8.1.3)].

a ˆ

1.1.1. General relations between direct and reciprocal lattices

The vectors a, b, c form a primitive crystallographic basis of the vector lattice L, if each translation vector t 2 L may be expressed as

V  ˆ …a b c † ˆ a  b
c 2 a2 a b cos  6 ˆ 4 a b cos  b2 a c cos  b c cos 

t ˆ ua ‡ vb ‡ wc

ˆ a b c ‰1

with u, v, w being integers. A primitive basis de®nes a primitive unit cell for a corresponding point lattice. Its volume V may be calculated as the mixed product (triple scalar product) of the three basis vectors:

ˆ abc‰1

2

cos 

2

cos

cos2 

cos2 

VV  ˆ 1:

2

cos

…1:1:1:4†

…1:1:1:5†

As all relations between direct and reciprocal lattices are symmetrical, one can calculate a; b; c from a ; b ; c : aˆ …1:1:1:1†

bˆ

c  a ; V

cˆ

a  b  ; V

9 b c sin  > > ; > > V > > >    > > a c sin > > bˆ ; >  > V > > > >    > a b sin > > ; cˆ > = V    cos cos cos  > cos  ˆ ;> > > > sin  sin  > > >    > > cos  cos cos > cos ˆ ;> > > > sin  sin  > >    > > cos  cos cos > ; cos ˆ :> sin  sin 

…1:1:1:6†

…1:1:1:7†

The unit-cell volumes V and V  may also be obtained from: V ˆ abc sin  sin sin ˆ abc sin  sin  sin



The lengths a , b and c of the reciprocal basis vectors and the angles  ˆ b ^ c ,  ˆ c ^ a and  ˆ a ^ b are given by:

ˆ abc sin  sin sin  ; 2

Copyright © 2006 International Union of Crystallography

b  c ; V

aˆ

Here a, b and c designate the lengths of the three basis vectors and  ˆ b ^ c, ˆ c ^ a and ˆ a ^ b the angles between them. Each vector lattice L and each primitive crystallographic basis a, b, c is uniquely related to a reciprocal vector lattice L and a primitive reciprocal basis a , b , c : 9 bc > or a
b ˆ a
c ˆ 0; a
a ˆ 1; > a ˆ > > V > > = c  a     or b
a ˆ b
c ˆ 0; b
b ˆ 1; b ˆ …1:1:1:2† > V > > > > ab > or c
a ˆ c
b ˆ 0; c
c ˆ 1: ; c ˆ V L ˆ fr jr ˆ ha ‡ kb ‡ lc and h; k; l integersg: 

cos2 

In addition, the following equation holds:

1=2



…1:1:1:3†

31=2 a c cos  7 b c cos  5 c2

‡ 2 cos  cos  cos  Š1=2   ‡  ‡   ‡  ‡  sin ˆ 2a b c sin 2 2        1=2  ‡  ‡

sin  sin : 2 2

31=2 ac cos 7 bc cos  5 c2

‡ 2 cos  cos cos Š  ‡ ‡ ‡ ‡ sin ˆ 2abc sin 2 2 1=2  ‡ ‡ sin  sin : 2 2

b ˆ

a , b , c de®ne a primitive unit cell in a corresponding reciprocal point lattice. Its volume V  may be expressed by analogy with V [equation (1.1.1.1)]:

1.1.1.1. Primitive crystallographic bases

V ˆ …abc† ˆ a  b
c 2 a2 ab cos 6 ˆ 4 ab cos b2 ac cos bc cos 

9 ac sin ab sin > ; c ˆ ;> > > V V > > > > > cos cos

cos  >  > ; cos  ˆ > = sin sin > cos  cos cos > > cos  ˆ ; > > sin  sin > > > > > cos  cos cos

> > ; cos  ˆ : sin  sin

bc sin  ; V

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…1:1:1:8†

1.1. SUMMARY OF GENERAL FORMULAE Table 1.1.1.1. Direct and reciprocal lattices described with respect to conventional basis systems Reciprocal lattice

Direct lattice ac ; bc ; cc Bravais letter

ac ; bc ; cc Unit-cell volume Vc

Centring vectors

Conditions for reciprocal-lattice vectors Unit-cell hac ‡ kbc ‡ lcc volume Vc

Bravais letter

A

1 2 bc

‡ 12 cc

2V

k ‡ l ˆ 2n

1  2V

A

B

1 2 ac

‡ 12 cc

2V

h ‡ l ˆ 2n

1  2V

B

C

1 2 ac

‡ 12 bc

2V

h ‡ k ˆ 2n

1  2V

C

‡ 12 bc ‡ 12 cc

2V

h ‡ k ‡ l ˆ 2n

1  2V

F

1  4V

I

1  3V

R

1 2 ac

I F

1 2 ac 1 2 ac 1 2 bc

‡ 12 bc ; ‡ 12 cc ; ‡ 12 cc

4V

h ‡ k ˆ 2n; h ‡ l ˆ 2n; k ‡ l ˆ 2n

R

1 3 ac 2 3 ac

‡ 23 bc ‡ 23 cc , ‡ 13 bc ‡ 13 cc

3V

h ‡ k ‡ l ˆ 3n

As a direct lattice and its corresponding reciprocal lattice do not necessarily belong to the same type of Bravais lattices [IT A (1987, Section 8.2.4)], the Bravais letter of L is given in the last column of Table 1.1.1.1. Except for P lattices, a conventionally chosen basis for L coincides neither with a ; b ; c nor with ac ; bc ; cc . This third basis, however, is not used in crystallography. The designation of scattering vectors and the indexing of Bragg re¯ections usually refers to ac ; bc ; cc . If the differences with respect to the coef®cients of direct- and reciprocal-lattice vectors are disregarded, all other relations discussed in Part 1 are equally true for primitive bases and for conventional bases.

V  ˆ a b c sin  sin  sin  ˆ a b c sin  sin sin  ˆ a b c sin  sin  sin :

…1:1:1:9†

1.1.1.2. Non-primitive crystallographic bases For certain lattice types, it is usual in crystallography to refer to a `conventional' crystallographic basis ac ; bc ; cc instead of a primitive basis a; b; c. In that case, ac , bc ; and cc with all their integral linear combinations are lattice vectors again, but there exist other lattice vectors t 2 L, t ˆ t1 ac ‡ t2 bc ‡ t3 cc ; with at least two of the coef®cients t1 , t2 , t3 being fractional. Such a conventional basis de®nes a conventional or centred unit cell for a corresponding point lattice, the volume Vc of which may be calculated by analogy with V by substituting ac ; bc ; cc for a; b; and c in (1.1.1.1). If m designates the number of centring lattice vectors t with 0  t1 ; t2 ; t3 < 1, Vc may be expressed as a multiple of the primitive unit-cell volume V: Vc ˆ mV :

1.1.2. Lattice vectors, point rows, and net planes The length t of a vector t ˆ ua ‡ vb ‡ wc is given by t2 ˆ u2 a2 ‡ v2 b2 ‡ w2 c2 ‡ 2uvab cos ‡ 2uwac cos ‡ 2vwbc cos :

Accordingly, the length r  of a reciprocal-lattice vector r ˆ ha ‡ kb ‡ lc may be calculated from

…1:1:1:10†

r 2 ˆ h2 a2 ‡ k2 b2 ‡ l 2 c2 ‡ 2hka b cos  ‡ 2hla c cos  ‡ 2klb c cos :

With the aid of equations (1.1.1.2) and (1.1.1.3), the reciprocal basis ac ; bc ; cc may be derived from ac ; bc ; cc . Again, each reciprocal-lattice vector 

r ˆ

hac

‡

kbc

‡

lcc

1  V : m

…1:1:2:2†

If the coef®cients u, v, w of a vector t 2 L are coprime, ‰uvwŠ symbolizes the direction parallel to t. In particular, ‰uvwŠ is used to designate a crystal edge, a zone axis, or a point row with that direction. The integer coef®cients h; k; l of a vector r 2 L are also the coordinates of a point of the corresponding reciprocal lattice and designate the Bragg re¯ection with scattering vector r . If h; k; l are coprime, the direction parallel to r is symbolized by ‰hklŠ . Each vector r is perpendicular to a family of equidistant parallel nets within a corresponding direct point lattice. If the coef®cients h; k; l of r are coprime, the symbol …hkl† describes that family of nets. The distance d…hkl† between two neighbouring nets is given by



2L

is an integral linear combination of the reciprocal basis vectors, but in contrast to the use of a primitive basis only certain triplets h; k; l refer to reciprocal-lattice vectors. Equation (1.1.1.5) also relates Vc to Vc , the reciprocal cell volume referred to ac ; bc ; cc . From this it follows that Vc ˆ

…1:1:2:1†

…1:1:1:11†

Table 1.1.1.1 contains detailed information on `centred lattices' described with respect to conventional basis systems. 3

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1. CRYSTAL GEOMETRY AND SYMMETRY a d…hkl† ˆ r  1 : …1:1:2:3† …au ‡ bv cos ‡ cw cos † h Parallel to such a family of nets, there may be a face or a b ˆ …au cos ‡ bv ‡ cw cos † cleavage plane of a crystal. k The net planes …hkl† obey the equation c ˆ …au cos ‡ bv cos  ‡ cw†: hx ‡ ky ‡ lz ˆ n …n ˆ integer†: …1:1:2:4† l Different values of n distinguish between the individual nets of the family; x; y; z are the coordinates of points on the net planes (not necessarily of lattice points). They are expressed in units a, b, and c, respectively. Similarly, each vector t 2 L with coprime coef®cients u; v; w is perpendicular to a family of equidistant parallel nets within a corresponding reciprocal point lattice. This family of nets may be symbolized …uvw† . The distance d  …uvw† between two neighbouring nets can be calculated from d  …uvw† ˆ t 1 :

1.1.3. Angles in direct and reciprocal space The angles between the normal of a crystal face and the basis vectors a; b; c are called the direction angles of that face. They may be calculated as angles between the corresponding reciprocal-lattice vector r and the basis vectors l ˆ r ^ a,  ˆ r ^ b and  ˆ r ^ c: 9 h k > cos l ˆ d…hkl†; cos  ˆ d…hkl†; > = a b …1:1:3:1† > l > ; cos  ˆ d…hkl†: c The three equations can be combined to give 9 h k l > = a:b:cˆ : : cos l cos  cos  …1:1:3:2† or > ; h : k : l ˆ a cos l : b cos  : c cos :

…1:1:2:5†

A layer line on a rotation pattern or a Weissenberg photograph with rotation axis ‰uvwŠ corresponds to one such net of the family …uvw† of the reciprocal lattice. The nets …uvw† obey the equation uh ‡ vk ‡ wl ˆ n

…n ˆ integer†:

…1:1:2:6†

Equations (1.1.2.6) and (1.1.2.4) are essentially the same, but may be interpreted differently. Again, n distinguishes between the individual nets out of the family …uvw† . h; k; l are the coordinates of the reciprocal-lattice points, expressed in units a , b , c ; respectively. A family of nets …hkl† and a point row with direction ‰uvwŠ out of the same point lattice are parallel if and only if the following equation is satis®ed: hu ‡ kv ‡ lw ˆ 0:

The ®rst formula gives the ratios between a, b, and c, if for any face of the crystal the indices …hkl† and the direction angles l, , and  are known. Once the axial ratios are known, the indices of any other face can be obtained from its direction angles by using the second formula. Similarly, the angles between a direct-lattice vector t and the reciprocal basis vectors l ˆ t ^ a ,  ˆ t ^ b and   ˆ t ^ c are given by 9 u v cos l ˆ  d  …uvw†; cos  ˆ  d  …uvw†; > = a b …1:1:3:3† w > ; cos   ˆ  d  …uvw†: c The angle between two direct-lattice vectors t1 and t2 or between two corresponding point rows ‰u1 v1 w1 Š and ‰u2 v2 w2 Š may be derived from the scalar product

…1:1:2:7†

This equation is called the `zone equation' because it must also hold if a face …hkl† of a crystal belongs to a zone ‰uvwŠ. Two (non-parallel) nets …h1 k1 l1 † and …h2 k2 l2 † intersect in a point row with direction ‰uvwŠ if the indices satisfy the condition k1 l1 l1 h1 h1 k1 : : …1:1:2:8† u:v:wˆ : k2 l2 l 2 h2 h2 k 2 The same condition must be satis®ed for a zone axis ‰uvwŠ de®ned by the crystal faces …h1 k1 l1 † and …h2 k2 l2 †. Three nets …h1 k1 l1 †, …h2 k2 l2 †, and …h3 k3 l3 † intersect in parallel rows, or three faces with these indices belong to one zone if h1 k1 l1 h2 k2 l2 ˆ 0: …1:1:2:9† h k l 3 3 3

t1
t2 ˆ u1 u2 a2 ‡ v1 v2 b2 ‡ w1 w2 c2 ‡ …u1 v2 ‡ u2 v1 †ab cos ‡ …u1 w2 ‡ u2 w1 †ac cos ‡ …v1 w2 ‡ v2 w1 †bc cos  …1:1:3:4† as cos

Two (non-parallel) point rows ‰u1 v1 w1 Š and ‰u2 v2 w2 Š in the direct lattice are parallel to a family of nets …hkl† if v1 w1 w1 u1 u1 v1 : : : …1:1:2:10† h:k:lˆ v w w u u v 2

2

2 2

…1:1:2:12†

ˆ

t1
t2 : t1 t2

…1:1:3:5†

Analogously, the angle ' between two reciprocal-lattice vectors r1 and r2 or between two corresponding point rows ‰h1 k1 l1 Š and ‰h2 k2 l2 Š or between the normals of two corresponding crystal faces …h1 k1 l1 † and …h2 k2 l2 † may be calculated as

2 2

The same condition holds for a face …hkl† belonging to two zones ‰u1 v1 w1 Š and ‰u2 v2 w2 Š. Three point rows ‰u1 v1 w1 Š, ‰u2 v2 w2 Š, and ‰u3 v3 w3 Š are parallel to a net …hkl†, or three zones of a crystal with these indices have a common face …hkl† if u1 v1 w1 u2 v2 w2 ˆ 0: …1:1:2:11† u v w 3 3 3

cos ' ˆ

r1
r2 r1 r2

…1:1:3:6†

with r1
r2 ˆ h1 h2 a2 ‡ k1 k2 b2 ‡ l1 l2 c2 ‡ …h1 k2 ‡ h2 k1 †a b cos  ‡ …h1 l2 ‡ h2 l1 †a c cos  ‡ …k1 l2 ‡ k2 l1 †b c cos  :

A net …hkl† is perpendicular to a point row ‰uvwŠ if 4

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…1:1:3:7†

1.1. SUMMARY OF GENERAL FORMULAE Finally, the angle ! between a ®rst direction ‰uvwŠ of the direct lattice and a second direction ‰hklŠ of the reciprocal lattice may also be derived from the scalar product of the corresponding vectors t and r . cos ! ˆ

t
r uh ‡ vk ‡ wl ˆ : tr tr 

with

l h vij ˆ i i ; lj hj

h k wij ˆ i i : hj kj

If all angles between the face normals and also the indices for three of the faces are known, the indices of the fourth face may be calculated. Equation (1.1.4.1) cannot be used if two of the faces are parallel. From the de®nition of uij , vij , and wij , it follows that all fractions in (1.1.4.1) are rational:

…1:1:3:8†

1.1.4. The Miller formulae Consider four faces of a crystal that belong to the same zone in consecutive order: …h1 k1 l1 †, …h2 k2 l2 †, …h3 k3 l3 †, and …h4 k4 l4 †. The angles between the ith and the jth face normals are designated 'ij . Then the Miller formulae relate the indices of these faces to the angles 'ij : sin '12 sin '43 u12 u43 v12 v43 w12 w43 ˆ ˆ ˆ sin '13 sin '42 u13 u42 v13 v42 w13 w42

k l uij ˆ i i ; kj lj

sin '12 sin '43 p ˆ sin '13 sin '42 q

with p; q integers:

Therefore, (1.1.4.1) may be rearranged to p cot '12

q cot '13 ˆ … p

q† cot '14 :

…1:1:4:2†

This equation allows the determination of one angle if two of the angles and the indices of all four faces are known.

…1:1:4:1†

5

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International Tables for Crystallography (2006). Vol. C, Chapter 1.2, pp. 6–9.

1.2. Application to the crystal systems By E. Koch

a b2 v c …au ‡ cw cos † ˆ ˆ …au cos ‡ cw†; h k l

Information on the description and classi®cation of Bravais lattices, their assignment to crystal systems, the choice of basis vectors for reduced or conventional basis systems, and on basis transformations is given in IT A (1983, Parts 5 and 9). In the following, for each crystal system, the metrical conditions for conventionally chosen basis systems and the possible Bravais types of lattices are listed. As some of the general formulae from Chapter 1.1 become simpler when not applied to a lattice with general (triclinic) metric, these simpli®ed formulae are tabulated for all crystal systems (except triclinic). Except for triclinic, monoclinic, and orthorhombic symmetry, tables are given that relate pairs h, k or triplets h; k; l of indices to certain sums s of products of these indices needed in equation (1.1.2.2). Such tables may be useful, for example, for indexing powder diffraction patterns.

2 a2 6       V ˆ …a b c † ˆ 4 a b cos  0   

2 a2 6 V  ˆ …a b c † ˆ 4 0 a c cos 

0 2

b 0

…1:1:1:3a†

31=2 a c cos  7 0 5 2 c

ˆ a b c sin  ; 1 1 1 aˆ  ; b ˆ ; c ˆ  a sin  b c sin  ;  ˆ ˆ 90 ; ˆ 180  ;

…1:1:1:7a†

t2 ˆ u2 a2 ‡ v2 b2 ‡ w2 c2 ‡ 2uwac cos ;

…1:1:2:1a†

r 2 ˆ h2 a2 ‡ k2 b2 ‡ l2 c2 ‡ 2hla c cos  ;

…1:1:2:2a†

31=2 7 5 2 c 0 0

…1:1:1:4b†

9 1 1 1 = ; b ˆ ; c ˆ ; a sin  b sin  c ;   

;  ˆ ˆ 90 ; ˆ 180

…1:1:1:7b†

t2 ˆ u2 a2 ‡ v2 b2 ‡ w2 c2 ‡ 2uvab cos ;

…1:1:2:1b†

r 2 ˆ h2 a2 ‡ k2 b2 ‡ l 2 c2 ‡ 2hka b cos  ;

…1:1:2:2b†

a b c2 w …au ‡ bv cos † ˆ …au cos ‡ bv† ˆ ; h k l

…1:1:2:12b†

‡ …u1 v2 ‡ u2 v1 †ab cos ;

…1:1:3:4b†

r1
r2 ˆ h1 h2 a2 ‡ k1 k2 b2 ‡ l1 l2 c2

‡ …h1 k2 ‡ h2 k1 †a b cos  :

…1:1:3:7b†

1.2.3. Orthorhombic crystal system Metrical conditions: Bravais lattice types: Symmetry of lattice points: 6

Copyright © 2006 International Union of Crystallography 7 s:\ITFC\CH-1-2.3d (Tables of Crystallography)

0



…1:1:1:3b†

t1
t2 ˆ u1 u2 a2 ‡ v1 v2 b2 ‡ w1 w2 c2

…1:1:1:4a† 9 ;=

a b cos  b2

aˆ

…1:1:1:1a† 9 1 1 1 ; b ˆ ; c  ˆ ;= a sin b c sin ;  ˆ  ˆ 90 ;  ˆ 180 ;

31=2 0 0 5 ˆ abc sin ; c2

ˆ a b c sin ;

31=2 ac cos 7 0 5 ˆ abc sin ; 2 c

a ˆ

ab cos b2 0

9 1 1 1 ; b ˆ ; c ˆ ; = a sin b sin c ;     

;  ˆ ˆ 90 ; ˆ 180

a; b; c; arbitrary;  ˆ ˆ 90 mP; mC or mA or mI :2=m .

b2 0

a; b; c; arbitrary;  ˆ ˆ 90 mP; mB or mA or mI : : 2=m

a ˆ

mP; mS 2=m

0

…1:1:3:7a†

…1:1:1:1b†

1.2.2.1. Setting with `unique axis b'

Bravais lattice types: Symmetry of lattice points: Simpli®ed formulae: 2 a2 6 V ˆ …abc† ˆ 4 0 ac cos

r1
r2 ˆ h1 h2 a2 ‡ k1 k2 b2 ‡ l1 l2 c2 ‡ …h1 l2 ‡ h2 l1 †a c cos  :

Bravais lattice types: Symmetry of lattice points: Simpli®ed formulae: 2 a2 4 V ˆ …abc† ˆ ab cos 0

1.2.2. Monoclinic crystal system

Metrical conditions:

…1:1:3:4a†

Metrical conditions:

a; b; c; ; ; arbitrary aP 1

Bravais lattice types: Symmetry of lattice points

t1
t2 ˆ u1 u2 a2 ‡ v1 v2 b2 ‡ w1 w2 c2 ‡ …u1 w2 ‡ u2 w1 †ac cos ;

1.2.2.2. Setting with `unique axis c'

1.2.1. Triclinic crystal system No metrical conditions: Bravais lattice type: Symmetry of lattice points:

…1:1:2:12a†

a; b; c arbitrary;  ˆ ˆ ˆ 90 oP; oS …oC; oA†, oI; oF mmm

1.2. APPLICATION TO THE CRYSTAL SYSTEMS Simpli®ed formulae:

2 2 a V ˆ …abc† ˆ 4 0 0

1 a ˆ ; a 

0 b2 0

1 b ˆ ; b

1 c ˆ ; c





2 2 a 6     V ˆ …a b c † ˆ 4 0 0   

1

Table 1.2.4.1. Assignment of integers s  100 to pairs h, k with s ˆ h2 ‡ k 2

31=2 0 0 5 ˆ abc; c2 



1 ; a

bˆ

1 ; b

cˆ

…1:1:2:1c†

26 29

31=2 7 5 2 c 0 0

0 1

1 ; c

…1:1:1:7c†

…1:1:1:3c†

ˆa b c ˆa b c ; aˆ

s 1 2 4 5 8 9 10 13 16 17 18 20 25



 ˆ ˆ ˆ 90 ;

0 b2

1



Each pair h; k represents all eight pairs which result from permutation and different sign combinations.

…1:1:1:1c†

…1:1:1:4c†  ˆ ˆ ˆ 90 ;

t2 ˆ u2 a2 ‡ v2 b2 ‡ w2 c2 ; r 2 ˆ h2 a2 ‡ k2 b2 ‡ l 2 w2 ;

…1:1:2:2c†

a2 u b2 v c 2 w ˆ ˆ ; h k l

…1:1:2:12c†

h 1 1 2 2 2 3 3 3 4 4 3 4 5 4 5 5

k 0 1 0 1 2 0 1 2 0 1 3 2 0 3 1 2

s 32 34 36 37 40 41 45 49 50 52 53 58 61 64 65

h 4 5 6 6 6 5 6 7 7 5 6 7 7 6 8 8 7

k 4 3 0 1 2 4 3 0 1 5 4 2 3 5 0 1 4

s 68 72 73 74 80 81 82 85 89 90 97 98 100

h 8 6 8 7 8 9 9 9 7 8 9 9 7 10 8

u v c2 w ˆ ˆ 2 ; h k al

k 2 6 3 5 4 0 1 2 6 5 3 4 7 0 6

…1:1:2:12d†

t1
t2 ˆ u1 u2 a2 ‡ v1 v2 b2 ‡ w1 w2 c2 ;

…1:1:3:4c†

t1
t2 ˆ …u1 u2 ‡ v1 v2 †a2 ‡ w1 w2 c2 ;

…1:1:3:4d†

r1
r2 ˆ h1 h2 a2 ‡ k1 k2 b2 ‡ l1 l2 c2 :

…1:1:3:7c†

r1
r2 ˆ …h1 h2 ‡ k1 k2 †a2 ‡ l1 l2 c2 :

…1:1:3:7d†

1.2.5. Trigonal and hexagonal crystal system

1.2.4. Tetragonal crystal system Metrical conditions: Bravais lattice types: Symmetry of lattice points: Simpli®ed formulae: 2 2 a 0 V ˆ …abc† ˆ 4 0 a2 0 0 1 a ˆ b ˆ ; a

1 c ˆ ; c

…1:1:1:1d†

 ˆ  ˆ  ˆ 90 ;

…1:1:1:3d†

0 a2 0

cˆ

1 ; c

Bravais lattice types: Symmetry of lattice points: Simpli®ed formulae: 2 2 1 2 a 2a 1 2 4 V ˆ …abc† ˆ 2 a a2 0 0

t2 ˆ …u2 ‡ v2 †a2 ‡ w2 c2 ; r 2 ˆ …h2 ‡ k2 †a2 ‡ l 2 c2 ˆ sa2 ‡ l 2 c2

…1:1:1:7d†

p 1 a ˆ b ˆ 23 3  ; a

…1:1:2:1d† …1:1:2:2d†

cˆ

t2 ˆ …u2 ‡ v2

2

sˆh ‡k :

1 ; c

 ˆ ˆ 90 ;

uv†a2 ‡ w2 c2 ;

r 2 ˆ …h2 ‡ k2 ‡ hk†a2 ‡ l 2 c2 ˆ sa2 ‡ l 2 c2

For each value of s  100, all corresponding pairs h; k are listed in Table 1.2.4.1.

with 7

8 s:\ITFC\CH-1-2.3d (Tables of Crystallography)

…1:1:1:3e†

31=2 2 2 1 2 a 0 2a 7 6 V  ˆ …a b c † ˆ 4 12 a2 a2 0 5 0 0 c2 p p ˆ 12 3 a2 c ˆ 23 3 a 2 c 1 ;

with 2

31=2 0 p 0 5 ˆ 12 3 a2 c; …1:1:1:1e† c2

9 p 1 1 3 ; c ˆ ;= a c  ˆ  ˆ 90 ;  ˆ 60 ; ;

…1:1:1:4d†

 ˆ ˆ ˆ 90 ;

a ˆ b; c arbitrary  ˆ ˆ 90 ; ˆ 120 hP; hR  …hR† 6=mmm …hP†; 3m

a ˆ b ˆ 23

31=2 0 7 0 5 c2

ˆ a2 c ˆ a 2 c 1 ; 1 ; a

Metrical conditions:

31=2 0 0 5 ˆ a2 c; c2

2 2 a 6 V  ˆ …a b c † ˆ 4 0 0

aˆbˆ

1.2.5.1. Description referred to hexagonal axes

a ˆ b; c arbitrary;  ˆ ˆ ˆ 90 tP; tI 4=mmm

…1:1:1:4e†

ˆ 120 ; …1:1:1:7e† …1:1:2:1e† …1:1:2:2e†

1. CRYSTAL GEOMETRY AND SYMMETRY Table 1.2.5.1. Assignment of integers s  100 to pairs h, k with s ˆ h2 ‡ k2 ‡ hk

Table 1.2.5.2. Asssignment of integers s1  50 to triplets h, k, l with s1 ˆ h2 ‡ k2 ‡ l 2 and to integers s2 ˆ hk ‡ hl ‡ kl

Each pair h, k represents in addition the pairs k; h k and h k; h; the permutations of these three, and the six corresponding centrosymmetrical pairs.

Each triplet h; k; l represents all twelve triplets resulting from permutation and/or simultaneous change of all signs.

s 1 3 4 7 9 12 13 16 19 21 25 27 28

h 1 1 2 2 3 2 3 4 3 4 5 3 4

k 0 1 0 1 0 2 1 0 2 1 0 3 2

s 31 36 37 39 43 48 49 52 57 61 63 64

h 5 6 4 5 6 4 7 5 6 7 5 6 8

2

2

k 1 0 3 2 1 4 0 3 2 1 4 3 0

s

h k

67 73 75 76 79 81 84 91 93 97 100

7 8 5 6 7 9 8 9 6 7 8 10

2 1 5 4 3 0 2 1 5 4 3 0

s1

s2

h

k

l

s1

s2

h

k

l

s1

s2

h

k

l

1 2

0 1 1 1 3 0 2 2 3 1 5 4 4 4 0

1 1 1 1 1 2 2 2 2 2 2 2 2 2 3 2 2 3 3 3 3 3 2 2 3 3 3 3 3 3 4 3 4 3 4 3 3 4 4 4 3 3 3 3 4 4 4 4 4 4 3 3 3

0 1 1 1 1 0 1 1 1 1 1 2 2 2 0 2 2 1 1 1 1 1 2 2 2 2 2 2 2 2 0 2 1 2 1 2 3 1 1 1 3 3 3 3 2 2 2 2 2 2 3 3 3

0 0 0 1 1 0 0 0 1 1 1 0 0 1 0 1 1 0 0 1 1 1 2 2 0 0 1 1 1 1 0 2 0 2 0 2 0 1 1 1 0 1 1 1 0 0 1 1 1 1 2 2 2

24

12 4 20 12 0 12 13 11 5 5

4 4 4 4 5 4 4 4 5 5 4 4 5 3 5 5 3 4 5 4 4 5 4 5 5 5 5 4 4 5 4 5 4 5 4 5 4 4 5 4 5 5 5 5 4 6 4 4 6 6

2 2 2 3 0 3 3 3 1 1 3 3 1 3 1 1 3 3 2 3 3 2 3 2 2 2 2 4 4 2 4 2 4 2 4 3 3 3 3 3 3 3 3 3 4 0 4 4 1 1

2 2 2 0 0 0 1 1 0 0 1 1 1 3 1 1 3 2 0 2 2 0 2 1 1 1 1 0 0 2 1 2 1 2 1 0 3 3 0 3 1 1 1 1 2 0 2 2 0 0

38

19 11

5 6 5 6 5 6 5 6 6 5 6 4 6 4 6 6 5 4 5 5 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 6 6 6 4 4 6 6 7 6 6 5 5 5 7 5 7 5 5

3 1 3 1 3 1 3 2 2 4 2 4 2 4 2 2 4 4 4 4 4 4 3 3 3 2 2 2 4 3 4 4 3 4 3 3 3 3 4 4 3 3 0 3 3 5 4 4 1 4 1 5 4

2 1 2 1 2 1 2 0 0 0 1 3 1 3 1 1 0 3 1 1 1 1 3 3 3 2 2 2 2 0 2 2 0 2 1 1 1 1 4 4 2 2 0 2 2 0 3 3 0 3 0 0 3

3 4 5 6 8 9

s ˆ h ‡ k ‡ hk: 10

For each value of s  100, all corresponding pairs h, k are listed in Table 1.2.5.1. 2u v 2v u c2 w ˆ ˆ 2 ; 2h 2k al t1
t2 ˆ …u1 u2 ‡ v1 v2 r1




r2

1 2 u1 v2

ˆ …h1 h2 ‡ k1 k2 ‡

1 2 h1 k 2

…1:1:2:12e†

1 2 2 u2 v1 †a

‡

11 12

2

‡ w1 w2 c ; …1:1:3:4e†

1 2 2 h2 k1 †a

13 14

2

‡ l1 l2 c : …1:1:3:7e†

1.2.5.2. Description referred to rhombohedral axes Metrical conditions: Bravais lattice type: Symmetry of lattice points: Simpli®ed formulae: 2 a2 6 2 V ˆ …abc† ˆ 4 a cos  a2 cos 

a2 cos  a2 a2 cos 

31=2 a2 cos  7 a2 cos  5 a2

ˆ a3 ‰1 3 cos2  ‡ 2 cos3 Š1=2  1=2 3 3 3 ˆ 2a sin 2  sin ; 2 9  

 1 > ;> ˆ cos ˆ cos ˆ = 2 cos =2 2 2 2 > 1 > ; a ˆ b ˆ c  ˆ ; a sin  sin  cos

V  ˆ …a b c † 2 a2 6 2 ˆ 4 a cos  a2 cos 

16 17

a ˆ b ˆ c;  ˆ ˆ hR  3m

a2 cos  a2 a cos  2

18

19

…1:1:1:1f †

20 21

…1:1:1:3f † 22

31=2 a2 cos  7 a2 cos  5 a2

ˆ a3 ‰1 3 cos2  ‡ 2 cos3  Š1=2 1=2   ˆ 2a3 sin 32  sin3 ; 2

…1:1:1:4f † 8

9 s:\ITFC\CH-1-2.3d (Tables of Crystallography)

8 3 3 5 1 7 4 12 6 6 7 5 1 11 0 8 4 4 16 9 7 1 9 9 3 15 8 8 10 6 2 14 9 3 21

25 26

27

29

30

32 33

19 9 1 11 27 14 10 2 10 26 13 7 3 17 16 16 16 4 8 24

34

35

36

37

15 9 15 33 17 13 7 23 16 0 32 6 6

1

40 41

13 31 12 12 20 16 8 4 20

42

43 44 45

46

48 49

50

40 21 19 11 29 21 9 39 20 4 28 22 18 2 18 38 21 15 9 27 16 48 24 12 0 36 25 23 17 7 7 25 47

9 

1 > ;> cos ˆ cos ˆ cos ˆ = 2 2 2 2 cos  =2 > 1 > ; aˆbˆcˆ  ; a sin  sin 

…1:1:1:7f †

t2 ˆ …u2 ‡ v2 ‡ w2 †a2 ‡ 2…uv ‡ uw ‡ vw†a2 cos ;

…1:1:2:1f †

1.2. APPLICATION TO THE CRYSTAL SYSTEMS r

2

2

2

2

Simpli®ed formulae:

2

ˆ …h ‡ k ‡ l †a ‡ 2…hk ‡ hl ‡ kl†a2 cos  ˆ s1 a2 ‡ 2s2 a2 cos 

2 2 a V ˆ …abc† ˆ 4 0 0

…1:1:2:2f †

with s 1 ˆ h2 ‡ k 2 ‡ l 2

and

s2 ˆ hk ‡ hl ‡ kl:

u v‡w v u‡w w u‡v ‡ cos  ˆ ‡ cos  ˆ ‡ cos ; h h k k l l …1:1:2:12f †

…1:1:1:4g†

t1
t2 ˆ …u1 u2 ‡ v1 v2 ‡ w1 w2 †a2 ‡ …u1 v2 ‡ u2 v1 ‡ u1 w2 ‡ u2 w1

r1




r2

aˆbˆcˆ

ˆ …h1 h2 ‡ k1 k2 ‡ l1 l2 †a ‡ …h1 k2 ‡ h2 k1 ‡ h1 l2 ‡ h2 l1

1 ; a

 ˆ ˆ ˆ 90 ;

…1:1:1:7g†

t2 ˆ …u2 ‡ v2 ‡ w2 †a2 ;

…1:1:2:1g†

r 2 ˆ …h2 ‡ k2 ‡ l 2 †a2 ˆ sa2

…1:1:2:2g†

…1:1:3:4f †

2

with

‡ k1 l2 ‡ k2 l1 †a2 cos  :

s ˆ h2 ‡ k 2 ‡ l 2 :

…1:1:3:7f †

For each value of s  100, all corresponding triplets h; k; l are listed in Table 1.2.6.1. u v w ˆ ˆ ; …1:1:2:12g† h k l

1.2.6. Cubic crystal system a ˆ b ˆ c;  ˆ ˆ ˆ 90 cP; cI; cF  m3m

Metrical conditions: Bravais lattice types: Symmetry of lattice points:

…1:1:1:1g†

1 …1:1:1:3g† a ˆ b ˆ c ˆ ;  ˆ  ˆ  ˆ 90 ; a 31=2 2 2 a 0 0 V  ˆ …a b c † ˆ 4 0 a2 0 5 ˆ a3 ˆ a 3 ; 0 0 a2

For each value of s1  50, all corresponding values of s2 and all triplets h, k, l are listed in Table 1.2.5.2.

‡ v1 w2 ‡ v2 w1 †a2 cos ;

31=2 0 0 5 ˆ a3 ; a2

0 a2 0

t1
t2 ˆ …u1 u2 ‡ v1 v2 ‡ w1 w2 †a2 ;

…1:1:3:4g†

r1
r2 ˆ …h1 h2 ‡ k1 k2 ‡ l1 l2 †a2 :

…1:1:3:7g†

Table 1.2.6.1. Assignment of integers s  100 to triplets h, k, l with s ˆ h2 ‡ k2 ‡ l 2 Each triplet represents all 48 triplets resulting from permutations and sign combinations. s

hkl

1 2 3 4 5 6 8 9

1 1 1 2 2 2 2 3 2 3 3 2 3 3 4 4 3 4 3 3 4 4 3 4

10 11 12 13 14 16 17 18 19 20 21 22 24

0 1 1 0 1 1 2 0 2 1 1 2 2 2 0 1 2 1 3 3 2 2 3 2

0 0 1 0 0 1 0 0 1 0 1 2 0 1 0 0 2 1 0 1 0 1 2 2

s 25 26 27 29 30 32 33 34 35 36 37 38 40 41

hkl 5 4 5 4 5 3 5 4 5 4 5 4 5 4 5 6 4 6 6 5 6 6 5 4

0 3 1 3 1 3 2 3 2 4 2 4 3 3 3 0 4 1 1 3 2 2 4 4

0 0 0 1 1 3 0 2 1 0 2 1 0 3 1 0 2 0 1 2 0 1 0 3

s 42 43 44 45 46 48 49 50 51 52 53 54 56 57 58

hkl 5 5 6 6 5 6 4 7 6 7 5 5 7 5 6 7 6 7 6 5 6 7 5 7

4 3 2 3 4 3 4 0 3 1 5 4 1 5 4 2 4 2 3 5 4 2 4 3

s 59

1 3 2 0 2 1 4 0 2 0 0 3 1 1 0 0 1 1 3 2 2 2 4 0

61 62 64 65 66 67 68 69 70 72 73

9

10 s:\ITFC\CH-1-2.3d (Tables of Crystallography)

hkl 7 5 6 6 7 6 8 8 7 6 8 7 5 7 8 6 8 7 6 8 6 8 6

3 5 5 4 3 5 0 1 4 5 1 4 5 3 2 4 2 4 5 2 6 3 6

1 3 0 3 2 1 0 0 0 2 1 1 4 3 0 4 1 2 3 2 0 0 1

s 74 75 76 77 78 80 81

82 83 84 85 86

hkl 8 7 7 7 5 6 8 6 7 8 9 8 7 6 9 8 9 7 8 9 7 9 7 6

3 5 4 5 5 6 3 5 5 4 0 4 4 6 1 3 1 5 4 2 6 2 6 5

1 0 3 1 5 2 2 4 2 0 0 1 4 3 0 3 1 3 2 0 0 1 1 5

s 88 89

90 91 93 94 96 97 98 99 100

hkl 6 9 8 8 7 9 8 7 9 8 9 7 8 9 6 9 8 7 9 7 7 10 8

6 2 5 4 6 3 5 5 3 5 3 6 4 4 6 4 5 7 3 7 5 0 6

4 2 0 3 2 0 1 4 1 2 2 3 4 0 5 1 3 0 3 1 5 0 0

International Tables for Crystallography (2006). Vol. C, Chapter 1.3, pp. 10–14.

1. CRYSTAL GEOMETRY AND SYMMETRY

1.3. Twinning By E. Koch

1.3.1. General remarks

contains an evenfold rotation or screw-rotation axis, an inversion twin cannot be distinguished from a reflection twin with twin plane perpendicular to that axis. (b) If the crystal structure contains a mirror or a glide plane, an inversion twin cannot be distinguished from a rotation twin with a twofold twin axis perpendicular to that plane. …c† If for a centrosymmetrical crystal structure the normal of a twin plane runs parallel to a lattice vector or a twin axis runs perpendicular to a net plane, the twin may be described equally well as a reflection twin or as a rotation twin. The twin components are grown together in a surface called composition surface, twin interface or twin boundary. In most cases, the composition surfaces are low-energy surfaces with good structural fit. For a reflection twin, it is usually a plane parallel to the twin plane. The composition surface of a rotation twin may either be a plane parallel to the twin axis or be a nonplanar surface with irregular shape. If more than two components are twinned according to the same law, the twin is called a repeated twin or a multiple twin. If all the twin boundaries are parallel planes, it is a polysynthetic twin, otherwise it is called a cyclic twin. If the twin components are related to each other by more than one twin law, the shape and the mutual arrangement of the twin domains may be very irregular. With respect to the formation process, one may distinguish between growth twins, transformation twins, and mechanical (deformation, glide) twins. Transformation twins result from phase transitions, e.g. of ferroelectric or ferromagnetic crystals. The corresponding twin domains are usually small and the number of such domains is high. Mechanical twinning is due to mechanical stress and may often be described in terms of shear of the crystal structure. This includes ferroelasticity. Twins are observable by, for example, macroscopic or microscopic observation of re-entrant angles between crystal faces, by etching, by means of different extinction positions for the twin components between cross polarizers of a polarization microscope, by different rotation angles of the plane of polarization of a beam of plane-polarized light passing through the components of a twin showing optical activity, by a splitting of part of the X-ray diffraction spots (except for twins by merohedry), by means of domain contrast or boundary contrast in an X-ray topogram, or by investigation with a transmission electron microscope. The phenomenon of twinning has frequently been described and discussed in the literature and it is impossible, therefore, to give a complete list of references. Further details may be learned, e.g. from a review article by Cahn (1954) or from appropriate textbooks. A comprehensive survey of X-ray topography of twinned crystals is given by Klapper (1987). The following papers are related to twinning by merohedry or pseudo-merohedry: Catti & Ferraris (1976), Grimmer (1984, 1989a,b), Grimmer & Warrington (1985), Donnay & Donnay (1974), Le Page, Donnay & Donnay (1984), Hahn (1981, 1984), Klapper, Hahn & Chung (1987), Flack (1987).

A twin consists of two or more single crystals of the same species but in different orientation, its twin components. They are intergrown in such a way that at least some of their lattice directions are parallel. The twin law describes the geometrical relation between the twin components. It specifies a symmetry operation, the twin operation, that brings one of the twin components into parallel orientation with the other. The corresponding symmetry element is called the twin element. There are several kinds of twin laws: (1) Reflection twins. Two twin components are related by reflection through a net plane …hkl†, the twin plane. All lattice vectors parallel to …hkl†, i.e. a complete lattice plane, coincide for both twin components, and their crystal faces …hkl† [and …h k l†] are parallel. As a consequence, their corresponding zone axes parallel to …hkl† also coincide. A twin plane cannot run parallel to a mirror or glide plane of the crystal structure, i.e. it cannot run parallel to a mirror plane of the point group of the crystal, because in that case both twin components would have the same orientation. It must be noted that the vector normal to a twin plane need not have rational indices nor be parallel to a lattice vector. (2) Rotation twins. The twin components can be brought into parallel orientation by a rotation about an axis, the twin axis. Two cases may be distinguished: (i) Most frequently, the twin axis runs parallel to a lattice vector with components u, v, w. Then the lattice row ‰uvwŠ coincides for all twin components, i.e. they have the common zone axis ‰uvwŠ. Usually, the twin axis is a twofold axis, and all corresponding crystal faces of the two twin components belonging to that zone are parallel. Less frequently, a three-, four-, or sixfold rotation occurs as the twin operation. A twin axis cannot run parallel to a (screw-) rotation axis of the crystal structure which induces the same rotation angle, i.e. it cannot be parallel to such a rotation axis of the point group of the crystal. For example, a twofold twin axis cannot be parallel to a twofold, fourfold, or sixfold axis, but it may run parallel to a threefold axis; a twin axis with rotation angle 60, 90, or 120 , however, may be parallel to a twofold axis. (ii) In some cases, the direction of the twin axis is not rational, but the twofold twin axis runs perpendicular to a lattice row (zone axis) ‰uvwŠ and parallel to a net plane (crystal face) …hkl† that belongs to that zone. Then the lattices of the twin components coincide only in one lattice row parallel to ‰uvwŠ, and ‰uvwŠ is the common zone axis of both twin components. The crystal faces …hkl† and …h k l† are parallel for both components, but the other faces of the zone ‰uvwŠ are not. Neither in case (i) nor in case (ii) does the plane perpendicular to the twin axis need to be a lattice plane. Therefore, in general, it cannot be described by Miller indices. (3) Inversion twins. The twin components are related by inversion through a centre of symmetry, the twin centre. Only noncentrosymmetrical crystals can form such twins. As all corresponding lattice vectors of the two twin components are antiparallel, their entire vector lattices coincide. As a consequence, all corresponding zone axes and crystal faces of the twin components are parallel. In many cases, there does not exist a unique twin law, but a twin may be described equally well by more than one twin law. (a) If the crystal structure of the twin components

1.3.2. Twin lattices For reflection and rotation twins described in the last section, a special situation arises whenever there exists a lattice vector perpendicular to the twin plane or a lattice plane perpendicular to 10

Copyright © 2006 International Union of Crystallography 11 s:\ITFC\CH-1-3.3d (Tables of Crystallography)

1.3. TWINNING Table 1.3.2.1. Lattice planes and rows that are perpendicular to each other independently of the metrical parameters Lattice plane …hkl†

Lattice row ‰uvwŠ

Perpendicularity condition

For every twin lattice, its twin index i can be calculated from the Miller indices of the net plane …hkl† and the coprime coefficients u; v; w of the lattice vector t perpendicular to …hkl†. Referred to a primitive lattice basis, i is simply related to the modulus of the scalar product j of the two vectors r ˆ ha ‡ kb ‡ lc and t ˆ ua ‡ vb ‡ wc:

±

±

±

j ˆ r
t ˆ hu ‡ kv ‡ lw;

Monoclinic (unique axis b)

(010)

[010]

±

Monoclinic (unique axis c)

(001)

[001]

±

Orthorhombic

(100) (010) (001)

[100] [010] [001]

± ± ±

Hexagonal= trigonal

…hk0†

‰uv0Š

(001)

[001]

u ˆ 2h ‡ k; v ˆ h ‡ 2k ±

Basis system Triclinic

Rhombohedral

…h; k; h k† ‰u; v; u vŠ (111) [111]

 iˆ

…hk0† (001)

‰uv0Š [001]

u ˆ h; v ˆ k ±

Cubic

…hkl†

‰uvwŠ

u ˆ h; v ˆ k; w ˆ l

…n integer†:

1.3.2.1. Examples (1) Cubic P lattice: [111] is perpendicular to (111). j ˆ hu ‡ kv ‡ lw ˆ 3 odd i ˆ j jj ˆ 3.

a rational twofold twin axis. Such a situation occurs systematically for all reflection and rotation twins with cubic symmetry and for certain twins with non-cubic symmetry (cf. Table 1.3.2.1). In addition, such a perpendicularity may occur occasionally if equation (1.1.2.12) is satisfied. In the case of a noncentrosymmetric crystal structure, different twins result from a twin axis ‰uvwŠ with a perpendicular lattice plane …hkl†, or from a twin plane …hkl† with a perpendicular lattice row ‰uvwŠ: the reflection twin consists of two enantiomorphous twin components whereas the rotation twin is built up from two crystals with the same handedness (cf., for example, Brazil twins and Dauphine twins of quartz). With respect to the first twin component, the lattice of the second component has the same orientation in both cases. For a centrosymmetrical crystal structure, both twin laws give rise to the same twin. Whenever a twin plane or twin axis is perpendicular to a lattice vector or a net plane, respectively, the vector lattices of the twin components have a three-dimensional subset in common. This sublattice [derivative lattice, cf. IT A (1983, Chapter 13.2)] is called the twin lattice. It corresponds uniquely to the intersection group of the two translation groups referring to the twin components. The respective subgroup index i is called the twin index. It is equal to the ratio of the volumes of the primitive unit cells for the twin lattice and the crystal structure. If one subdivides the crystal lattice into nets parallel to the twin plane or perpendicular to the twin axis, each ith of these nets belongs to the common twin lattice of the two twin components (cf. Fig. 1.3.2.1). Important examples are cubic twins with [111] as twofold twin axis or (111) as twin plane and rhombohedral twins with [001] as twin axis or (001) as twin plane (hexagonal description). In all these cases, the twin index i equals 3.

(a)

(b) Fig. 1.3.2.1. …a† Projection of the lattices of the twin components of a monoclinic twinned crystal (unique axis c, ˆ 93 ) with twin index 3. The twin may be interpreted either as a rotation twin with twin axis [210] or as a reflection twin with twin plane (110). …b† Projection of the corresponding reciprocal lattices.

11 12 s:\ITFC\CH-1-3.3d (Tables of Crystallography)

for j ˆ 2n ‡ 1 for j ˆ 2n

The same procedure ± but with modified coefficients ± may be applied to a centred lattice described with respect to a conventionally chosen basis: The coprime Miller indices h, k, l that characterize the net plane have to be replaced by larger noncoprime indices h0 , k0 , l0 , if h, k, l do not refer to a (non-extinct) point of the reciprocal lattice. The integer coefficients u, v, w specifying the lattice vector perpendicular to …hkl† have to be replaced by smaller non-integer coefficients u0 , v0 , w0 , if the centred lattice contains such a vector in the direction ‰uvwŠ.

u ˆ h; v ˆ k ±

Tetragonal

j jj j jj=2

1. CRYSTAL GEOMETRY AND SYMMETRY p lattice in hexagonal description with 3a: [310] is perpendicular (4) Rhombohedral p  2Š  is perpendicular to …111†.  c ˆ 12 3a: ‰11  2Š  has to be replaced by ‰1 1 2Š. Because of the R centring, ‰ 11 333 (i) P lattice (cf. Fig. 1.3.2.2):  refers to an `extinct reflection' of an R lattice, the As …111† j ˆ hu ‡ kv ‡ lw ˆ 4 even  triplet 111 has to be replaced by 333. i ˆ j jj=2 ˆ 2: j ˆ h0 u0 ‡ k0 v0 ‡ l0 w0 ˆ 4 even (ii) C lattice (cf. also Fig. 1.3.2.2): i ˆ j jj=2 ˆ 2. Because of the C centring, [310] has to be replaced by ‰32 12 0Š. j ˆ hu0 ‡ kv0 ‡ lw0 ˆ 2 even 1.3.3. Implication of twinning in reciprocal space i ˆ j jj=2 ˆ 1: As shown above, the direct lattices of the components of any twin coincide in at least one row. The same is true for the corresponding reciprocal lattices. They coincide in all rows perpendicular to parallel net planes of the direct lattices. For a reflection twin with twin plane …hkl†; the reciprocal lattices of the twin components have only the lattice points with coefficients nh, nk, nl in common. For a rotation twin with twofold twin axis ‰uvwŠ, the reciprocal lattices of the twin components coincide in all points of the plane perpendicular to ‰uvwŠ, i:e: in all points with coefficients h, k, l that fulfil the condition hu ‡ kv ‡ lw ˆ 0. For a rotation twin with irrational twin axis parallel to a net plane …hkl†, only reciprocal-lattice points with coefficients nh, nk, nl are common to both twin components. As the entire direct lattices of the two twin components coincide for an inversion twin, the same must be true for their reciprocal lattices. For a reflection or rotation twin with a twin lattice of index i, the corresponding reciprocal lattices, too, have a sublattice with index i in common (cf : Fig. 1.3.2.1b). In analogy to direct Fig. 1.3.2.2. Projection of the lattices ofpthe  twin components of an orthorhombic twinned crystal …oP; b ˆ 3a† with twin index 2. The space, the twin lattice in reciprocal space consists of each ith twin may be interpreted either as a rotation twin with twin axis [310] lattice plane parallel to the twin plane or perpendicular to the or as a reflection twin with twin plane (110). The figure shows, in twin axis. If the twin index equals 1, the entire reciprocal lattices addition, that twin index 1 results if the oP lattice is replaced by an oC of the twin components coincide. lattice in this example (twinning by pseudomerohedry). If for a reflection twin there exists only a lattice row ‰uvwŠ that is almost (but not exactly) perpendicular to the twin plane …hkl†, (3) Orthorhombic C lattice with b ˆ 2a: [210] is perpendicular then the lattices of the two twin components nearly coincide in a to (120) (cf. Fig. 1.3.2.3). three-dimensional subset of lattice points. The corresponding As (120) refers to an `extinct reflection' of a C lattice, the misfit is described by the quantity !, the twin obliquity. It is the triplet 240 has to be used in the calculation. angle between the lattice row ‰uvwŠ and the direction perpendi0 0 0 j ˆ h u ‡ k v ‡ l w ˆ 8 even cular to the twin plane …hkl†. In an analogous way, the twin i ˆ j jj=2 ˆ 4. obliquity ! is defined for a rotation twin. If …hkl† is a net plane almost (but not exactly) perpendicular to the twin axis ‰uvwŠ, then ! is the angle between ‰uvwŠ and the direction perpendicular to …hkl†.

(2) Orthorhombic lattice with b ˆ to (110).

1.3.4. Twinning by merohedry A twin is called a twin by merohedry if its twin operation belongs to the point group of its vector lattice, i.e. to the corresponding holohedry. As each lattice is centrosymmetric, an inversion twin is necessarily a twin by merohedry. Only crystals from merohedral (i.e. non-holohedral) point groups may form twins by merohedry; 159 out of the 230 types of space groups belong to merohedral point groups. For a twin by merohedry, the vector lattices of all twin components coincide in direct and in reciprocal space. The twin index is 1. The maximal number of differently oriented twin components equals the subgroup index m of the point group of the crystal with respect to its holohedry. Table 1.3.4.1 displays all possibilities for twinning by merohedry. For each holohedral point group (column 1), the types of Bravais lattices (column 2) and the corresponding merohedral point groups (column 3) are listed. Column 4 gives the subgroup index m of a merohedral point group in its

Fig. 1.3.2.3. Projection of the lattices of the twin components of an orthorhombic twinned crystal …oC; b ˆ 2a† with twin index 4. The twin may be interpreted either as a rotation twin with twin axis [210] or as a reflection twin with twin plane (120).

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1.3. TWINNING Table 1.3.4.1. Possible twin operations for twins by merohedry

Table 1.3.4.2. Simulated Laue classes, extinction symbols, simulated `possible space groups', and possible true space groups for crystals twinned by merohedry (type 2)

m is the index of the point group in the corresponding holohedry; point groups allowing twins of type 2 are marked by an asterisk.

Holohedry

Point group

Bravais lattice

m

1

aP

1

2

1

2=m

mP; mS

2 m

2 2

1 1

mmm

oP; oS; oI; oF

222 mm2

2 2

1 1

4=mmm

tP; tI



4 4  4=m 422 4mm   42m= 4m2

4 4 2 2 2 2

 :m:; :2: 1;  :m:; :2: 1; :m: 1 1 1



3 3 32 3m

4 2 2 2

 :m; :2 1; :m 1 1



3

8



3 321=312  3m1=31m   3m1=31m  6  6  6=m 622 6mm   62m= 6m2

4 4 4 2 4 4 2 2 2 2

 :m:; :2:; m::; 1; ::m; 2::; ::2 :m:; m::; ::m  m::; ::2=:2: 1;  m::; ::m=:m: 1; m::  :m:; :2: 1;  :m:; ::m 1; :m: 1 1 1



4 2 2 2

 ::m; ::2 1; ::m 1 1

 3m

6=mmm

hR

hP







 m3m

cP; cI; cF

23 m3 432  43m 

Twinned crystal

Possible twin operations

Twin extinction symbol

4=mmm

P - --

Simulated `possible space groups'

Possible true space groups

I41 - I41 =a- -

 P422; P4mm; P 42m,  P 4m2; P4=mmm P42 22 P41 22; P43 22 P4=nmm ±  I422; I4mm; I 42m;  I 4m2;I4=mmm I41 22 ±

I41 I41 =a

 3m1

P - -P31 - -

 P321; P3m1, P 3m1 P31 21; P32 21

P3; P 3 P31 ; P32

 31m

P - -P31 - -

 P312; P31m, P 31m P31 12; P32 12

P3; P 3 P31 ; P32

 3m

R--

 R32; R3m; R3m

R3; R3

6=m

P - -P62 - -

 P6=m P6; P 6; P62 ; P64

P3; P 3 P31 ; P32

6=mmm

P - --

 P622; P6mm; P 6m2,  P 62m; P6=mmm

P63 - P62 - -

P63 22 P62 22; P64 22

P61 - P--c

P61 22; P65 22  P63 mc; P 62c; P63 =mmc  P63 cm; P 6c2; P63 =mcm

 P321, P3; P 3; P312; P3m1,  P31m; P 3m1;   P 31m; P6; P 6; P6=m P63 ; P63 =m P31 ; P32 , P31 21; P32 21; P31 12; P32 12; P62 ; P64 P61 ; P65 P31c; P31c

P42 - P41 - Pn - P42 =n - I -- -

P-c m3m

holohedry. Column 5 shows m 1 possible twin operations referring to the different twin components. These twin operations are not uniquely defined (except for point group 1), but may be chosen arbitrarily from the corresponding right coset of the crystal point group in its holohedry. It is always possible, however, to choose an inversion, a reflection, or a twofold rotation as twin operation. A twin that is not a twin by merohedry as defined above but, because of metrical specialization, has a twin lattice with twin index 1 is called a twin by pseudo-merohedry. Two kinds of twins by merohedry may be distinguished. Type 1: The twin can be described as an inversion twin. Then, only two twin components exist and the twin operation belongs to the Laue class of the crystal. As a consequence, the reciprocal lattices of the twin components are superimposed so that coinciding lattice points refer to Bragg reflections with the same jFj2 values as long as Friedel's law is valid. In that case, no differences with respect to symmetry, or to reflection conditions, or to relative intensities occur between two sets of Bragg

P - -P42 - Pn - I -- Ia -F -- Fd -P21 =a; b --

  P432; P 43m; Pm3m P42 32 Pn3m   I432; I 43m; Im3m ±   F432; F 43m; Fm3m  Fd 3m ±

 P4=m P4; P 4; P42 ; P42 =m P41 ; P43 P4=n P42 =n  I4=m I4; I 4;

 P3c1; P 3c1 P23; Pm3 P21 3 Pn3 I23; I21 3; Im3 Ia3 F23; Fm3 Fd 3 Pa3

intensities measured from a single crystal on the one hand and from a twin on the other hand (whether or not the twin components differ in their volumes). If anomalous scattering is observed and the twin components differ in size, the intensities of Bragg reflections are changed in comparison with the untwinned crystal but the symmetry of the diffraction pattern is unchanged. For equal volumes of the twin components, however, the diffraction pattern is centrosymmetric again. The occurrence of anomalous scattering does not produce additional difficulties for space-group determination. The change of the 13

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Simulated Laue class

Single crystal

1. CRYSTAL GEOMETRY AND SYMMETRY The plane defined by a1 and a2 is perpendicular to the plane defined by a and a0 and bisects the angle a ^ a0 . Analogous planes refer to b1 and b2 , and c1 and c2 . Vectors ra , rb , and rc lying within one of these planes may be described as linear combinations of a1 and a2 , b1 and b2 , or c1 and c2 , respectively:

Bragg intensities in comparison with the untwinned crystals, however, makes a structure determination more difficult. Type 2: The twin operation does not belong to the Laue class of the crystal. Such twins can occur only in point groups marked by an asterisk in Table 1.3.4.1, i.e. in 55 out of the 159 types of space groups mentioned above. If the different twin components occur with equal volumes, the corresponding diffraction pattern shows enhanced symmetry. On the contrary, the reflection conditions are unchanged in comparison to those  As a consequence, for 51 for a single crystal, except for Pa3. out of the 55 space-group types, the derivation of `possible space groups', as described in IT A (1983, Part 3), gives  the combination of incorrect results. For P42 =n, I41 =a and Ia3, the simulated Laue class of the twin and the (unchanged) extinction symbol does not occur for single crystals. Therefore, the symmetry of these twins can be determined uniquely. In the  the reflection conditions differ for the two twin case of Pa3,  components. [This is because the holohedry of Pa3 is m3m whereas the Laue class of the Euclidean normalizer Ia3 of Pa3  cf. IT A (1987, Part 15).] As a consequence, the is m3; reflection conditions for such a twinned crystal differ from all conditions that may be observed for single crystals (hkl cyclically permutable: 0kl only with k ˆ 2n or l ˆ 2n; 00l only with l ˆ 2n) and, therefore, the true symmetry can be identified without uncertainty. In Table 1.3.4.2, all simulated Laue classes (column 1) are listed that may be observed for twins by merohedry of type 2. Column 2 shows the corresponding extinction symbols. The symbols of the simulated `possible space groups' that follow from IT A (1983, Part 3) are gathered in column 3. The last column displays the symbols of those space groups which may be the true symmetry groups for twins by merohedry showing such diffraction patterns.

ra ˆ la a1 ‡ a a2 ; rb ˆ lb b1 ‡ b b2 ; rc ˆ lc c1 ‡ c c2 : The common intersection line of these three planes is parallel to the twin axis. It may be calculated by solving any of the three equations ra ˆ rb ;

Solve the inhomogeneous system of three equations that corresponds to this vector equation for the three variables a , lb , and b . Calculate the vector r ˆ a1 ‡ a a2 . Its components with respect to a, b, c describe the direction of the twin axis. The angle  of the twin rotation may then be calculated by sin 12  ˆ

sin 12 a sin 12 b sin 12 c ˆ ˆ sin a sin b sin c

with a ˆ r ^ a; b ˆ r ^ b; c ˆ r ^ c. If the basis a, b, c is orthogonal,  may be obtained from cos  ˆ 12 …cos a ‡ cos b ‡ cos c

1†:

If the coefficients of r are rational and  equals 180 , then r describes the direction either of the twofold twin axis or of the normal of the twin plane. If r is rational and  equals 60, 90 or 120 , r is parallel to the twin axis. If r is irrational, but  equals 180 and there exists, in addition, a net plane perpendicular to r, this net plane describes the twin plane. If none of these conditions is fulfilled, one has to repeat the calculations with a differently chosen basis system for one of the twin components. The number of possibilities for this choice depends on the lattice symmetry. The following list gives all equivalent basis systems for all descriptions of Bravais lattices used in IT A (1983): aP:

b0 ˆ e21 a ‡ e22 b ‡ e23 c; c0 ˆ e31 a ‡ e32 b ‡ e33 c:

a, b, c;

mP, mS (unique axis b):

a, b, c;

a, b, c;

mP, mS (unique axis c):

a, b, c;

a, b, c;

oP, oS, oI, oF:

a, b, c;

a, b, c;

a, b, c;

a, b, c;

a, b, c; a, b, c; a, b, c; tP, tI: a, b, c; b, a, c; b, a, c; b, a, c; b, a, c;

The coefficients eij have to be obtained by measurement. Basis a, b, c may be mapped onto a0 , b0 , c0 by a pure rotation that brings a to a0 , b to b0 , and c to c0 . To derive the direction of the rotation axis, calculate the three vectors

hP:

c1 ˆ c ‡ c0 :

a, b, c; b, a b, c; a b, a, c; b, a, c; a b, b, c; a, a b, c; a, b, c; b, a ‡ b, c; a ‡ b, a, c; b, a, c; a ‡ b, b, c; a, a ‡ b, c;

hR (hexagonal description): a b, a, c; b, a, c;

a1 , b1 , c1 bisect the angles a ˆ a ^ a0 , b ˆ b ^ b0 , and c ˆ c ^ c0 , respectively. Calculate three further vectors of arbitrary length a2 ; b2 ; c2 which are perpendicular to the planes defined by a and a0 , b and b0 , and c and c0 , respectively, from the scalar products

a, b, c; b, a b, c; a b, b, c; a, a b, c;

hR (rhombohedral description): b, a, c; a, c, b;

a, b, c; b, c, a; c, a, b; c, b, a;

cP, cI, cF: a, b, c; b, c, a; c, a, b; a, b, c; a, b, c; b, c, a; b, c, a; c, a, b; c, a, b; a, b, c; b, c, a; c, a, b; b, a, c; a, c, b; c, b, a; b, a, c; c, b, a; b, a, c; a, c, b; c, b, a; a, c, b; b, a, c; a, c, b; c, b, a.

a2
a ˆ a2
a0 ˆ 0; b2
b ˆ b2
b0 ˆ 0; c2
c ˆ c2
c0 ˆ 0:

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rb ˆ rc :

a 1 ‡ a a 2 ˆ l b b 1 ‡  b b 2 :

If the twin element cannot be recognized by direct macroscopic or microscopic inspection, it may be calculated as described below. Given are two analogous bases a, b, c and a0 , b0 , c0 referring to the two twin components. If possible, both basis systems should be chosen with the same handedness. If no such bases exist, the twin is a reflection twin and one of the bases has to be replaced by its centrosymmetrical one, e.g. a0 , b0 , c0 by a0 , b0 , c0 . The relation between the two bases is described by a0 ˆ e11 a ‡ e12 b ‡ e13 c;

b1 ˆ b ‡ b0 ;

or

ra ˆ rb : choose la arbitrarily equal to 1.

1.3.5. Calculation of the twin element

a1 ˆ a ‡ a0 ;

ra ˆ rc ;

International Tables for Crystallography (2006). Vol. C, Chapter 1.4, pp. 15–22.

1.4. Arithmetic crystal classes and symmorphic space groups By A. J. C. Wilson

1.4.1. Arithmetic crystal classes

symbol for the geometric crystal class and the symbol for the Bravais lattice (de Wolff et al., 1985). For example, in the monoclinic system the geometric crystal classes are 2, m, and 2=m, and the Bravais lattices are monoclinic P and monoclinic C. The six arithmetic crystal classes in the monoclinic system are thus 2P, 2C, mP, mC, 2=mP, and 2=mC. In certain cases (loosely, when the geometric crystal class and the Bravais lattice have unique directions that are not necessarily parallel), the crystal class and the lattice can be combined in two different orientations. The simplest example is the combination of the orthorhombic crystal class* mm with the endcentred lattice C. The intersection of the mirror planes of the crystal class de®nes one unique direction, the C centring of the lattice another. If these directions are placed parallel to one another, the arithmetic class mm2C is obtained; if they are placed perpendicular to one another, a different arithmetic classy 2mmC is obtained. The other combinations exhibiting this phenomenon are lattice P with geometric classes 32, 3m,    By consideration of all possible combina3m, 4m, and 6m. tions of geometric class and lattice, one obtains the 73 arithmetic classes listed in Table 1.4.2.1.

Arithmetic crystal classes are of great importance in theoretical crystallography, and are treated from that point of view in Volume A of International Tables for Crystallography (Hahn, 1995, p. 719). They have, however, at least four applications in practical crystallography: (1) in the classi®cation of space groups (Section 1.4.2); (2) in forming symbols for certain space groups in higher dimensions (see Chapter 9.8 and the references cited therein); (3) in modelling the frequency of occurrence of space groups (see Chapter 9.7 and the references cited therein); and (4) in establishing `equivalent origins' (Wondratschek, 1995, p. 719). The tabulation of arithmetic crystal classes in Volume A is incomplete, and the relation of the notation used in complete tabulations found elsewhere (for example, in Brown, BuÈlow, NeubuÈser, Wondratschek & Zassenhaus, 1978) to that of International Tables is not immediately obvious. Simple descriptions and complete enumerations of the arithmetic crystal classes in one, two and three dimensions are therefore given here. 1.4.1.1. Arithmetic crystal classes in three dimensions

* Here and in Chapter 9.7, it is convenient to use the `short' symbols mm, 32,  instead of mm2, 321, etc., whenever it is desired to   3m, 3m, 4m, and 6m emphasize that no implication about orientation is intended. y In the arithmetic crystal class 2mmC, two conventions concerning the nomenclature of axes con¯ict. The ®rst is that, if only one face of the Bravais lattice is centred, the c axis is chosen perpendicular to that face. The second is that, if there is one axis of symmetry uniquely different from any others, that axis is to be chosen as b in the monoclinic system and as c in the remaining systems. The second convention is usually regarded as the more important, and the `standard setting' of 2mmC is mm2A. Both settings are listed in Table 1.4.2.1.

The 32 geometric crystal classes and the 14 Bravais lattices are familiar in three-dimensional crystallography. The threedimensional arithmetic crystal classes are easily derived in an elementary fashion by enumerating the compatible combinations of geometric crystal class and Bravais lattice; the symbol adopted by the International Union of Crystallography for an arithmetic crystal class is simply the juxtaposition of the

Table 1.4.1.1. The two-dimensional arithmetic crystal classes Crystal class Arithmetic Crystal system

Geometric

Number

Symbol

Space group Number

Symbol

Oblique

1 2

1 2

1p 2p

1 2

p1 p2

Rectangular

m

3

mp

2mm

4 5

mc 2mmp

6

2mmc

3 4 5 6 7 8 9

pm pg cm p2mm p2mg p2gg c2mm

7 8

4p 4mmp

10 11 12

p4 p4mm p4gm

9 10 11 12 13

3p 3m1p 31mp 6p 6mmp

13 14 15 16 17

p3 p3m1 p31m p6 p6mm

Square

4 4mm

Hexagonal

3 3m 6 6mm

15 Copyright © 2006 International Union of Crystallography 16 s:\ITFC\CH-1-4.3d (Tables of Crystallography)

1. CRYSTAL GEOMETRY AND SYMMETRY 1.4.1.2. Arithmetic crystal classes in one, two and higher dimensions

crystal classes result. The two-dimensional geometric and arithmetic crystal classes are listed in Table 1.4.1.1. The number of arithmetic crystal classes increases rapidly with increasing dimensionality; there are 710 (plus 70 enantiomorphs) in four dimensions (Brown, BuÈlow, NeubuÈser, Wondratschek & Zassenhaus, 1978), but those in dimensions higher than three are not needed in this volume.

In one dimension, there are two geometric crystal classes, 1 and m, and a single Bravais lattice, p. Two arithmetic crystal classes result, p and mp. In two dimensions, there are ten geometric crystal classes, and two Bravais lattices, p and c; 13 arithmetic

Table 1.4.2.1. The three-dimensional space groups, arranged by arithmetic crystal class; in a few geometric crystal classes this differs somewhat from the conventional numerical order; see International Tables Volume A, p. 728 Crystal class Arithmetic Crystal system

Geometric

Number

Symbol

Space group Number

Symbol

Triclinic

1 1

1 2

1P  1P

1 2

Monoclinic

2

3

2P

m

4 5

2C mP

6

mC

7

2=mP

8

2=mC

3 4 5 6 7 8 9 10 11 13 14 12 15

P2 P21 C2 Pm Pc Cm Cc P2=m P21 =m P2=c P21 =c C2=m C2=c

9

222P

10

222C

11 12

222F 222I

13

mm2P

14

mm2C

15

2mmC …Amm2†

16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38

P222 P2221 P21 21 2 P21 21 21 C2221 C222 F222 I222 I21 21 21 Pmm2 Pmc21 Pcc2 Pma2 Pca21 Pnc2 Pmn21 Pba2 Pna21 Pnn2 Cmm2 Cmc21 Ccc2 C2mm …Amm2† C2me …Aem2† C2cm …Ama2† C2ce …Aea2† Fmm2 Fdd2 Imm2 Iba2 Ima2

2=m

Orthorhombic

222

mm

39 40 41

16

mm2F

17

mm2I

16

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42 43 44 45 46

P1 P 1

1.4. ARITHMETIC CRYSTAL CLASSES AND SYMMORPHIC SPACE GROUPS Table 1.4.2.1. Three-dimensional space groups (cont.) Crystal class Arithmetic Crystal system Orthorhombic (cont.)

Tetragonal

Geometric mmm

4

4 4=m

422

4mm

Number 18

mmmP

19

mmmC

20

mmmF

21

mmmI

22

4P

23

4I

24 25 26

 4P  4I 4=mP

27

4=mI

28

422P

29

422I

30

4mmP

31

4mmI

17

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Symbol

Space group Number

Symbol

47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74

Pmmm Pnnn Pccm Pban Pmma Pnna Pmna Pcca Pbam Pccn Pbcm Pnnm Pmmn Pbcn Pbca Pnma Cmcm Cmce Cmmm Cccm Cmme Ccce Fmmm Fddd Immm Ibam Ibca Imma

75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110

P4 P41 P42 P43 I4 I41 P 4 I 4 P4=m P42 =m P4=n P42 =n I4=m I41 =a P422 P421 2 P41 22 P41 21 2 P42 22 P42 21 2 P43 22 P43 21 2 I422 I41 22 P4mm P4bm P42 cm P42 nm P4cc P4nc P42 mc P42 bc I4mm I4cm I41 md I41 cd

1. CRYSTAL GEOMETRY AND SYMMETRY Table 1.4.2.1. Three-dimensional space groups (cont.) Crystal class Arithmetic Crystal system Tetragonal (cont.)

Geometric  4m

4=mmm

Trigonal

3

3 32

3m

 3m

Number 32

 42mP

33

 4m2P

34

 4m2I

35

 42mI

36

4=mmmP

37

4=mmmI

38

3P

39 40 41 42

3R  3P  3R 312P

43

321P

44 45

32R 3m1P

46

31mP

47

3mR

48

 31mP

49

 3m1P

50

 3mR

18

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Symbol

Space group Number

Symbol

111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142

 P 42m  P 42c  1m P 42  1c P 42  P 4m2  P 4c2  P 4b2  P 4n2  I 4m2  I 4c2  I 42m  I 42d P4=mmm P4=mcc P4=nbm P4=nnc P4=mbm P4=mnc P4=nmm P4=ncc P42 =mmc P42 =mcm P42 =nbc P42 =nnm P42 =mbc P42 =mnm P42 =nmc P42 =ncm I4=mmm I4=mcm I41 =amd I41 =acd

143 144 145 146 147 148 149 151 153 150 152 154 155 156 158 157 159 160 161 162 163 164 165 166 167

P3 P31 P32 R3 P 3 R3 P312 P31 12 P32 12 P321 P31 21 P32 21 R32 P3m1 P3c1 P31m P31c R3m R3c  P 31m  P 31c  P 3m1  P 3c1  R3m  R3c

1.4. ARITHMETIC CRYSTAL CLASSES AND SYMMORPHIC SPACE GROUPS Table 1.4.2.1. Three-dimensional space groups (cont.) Crystal class Arithmetic Crystal system Hexagonal

Cubic

Geometric

Number

6

51

6P

6 6=m

52 53

 6P 6=mP

622

54

622P

6mm

55

6mmP

 6m

56

 6m2P

57

 62mP

6=mmm

58

6=mmmP

23

59

23P

60 61

23F 23I

62

 m3P

63

 m3F

64

 m3I

65

432P

66

432F

67

432I

68

 43mP

69

 43mF

70

 43mI

71

 m3mP

72

 m3mF

73

 m3mI

m3

432

 43m

 m3m

19

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Symbol

Space group Number

Symbol

168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194

P6 P61 P65 P62 P64 P63 P 6 P6=m P63 =m P622 P61 22 P65 22 P62 22 P64 22 P63 22 P6mm P6cc P63 cm P63 mc  P 6m2  P 6c2  P 62m  P 62c P6=mmm P6=mmc P63 =mcm P63 =mmc

195 198 196 197 199 200 201 205 202 203 204 206 207 208 213 212 209 210 211 214 215 218 216 219 217 220 221 222 223 224 225 226 227 228 229 230

P23 P21 3 F23 I23 I21 3 Pm3 Pn3 Pa3 Fm3 Fd 3 Im3 Ia3 P432 P42 32 P41 32 P43 32 F432 F41 32 I432 I41 32  P 43m  P 43n  F 43m  F 43c  I 43m  I 43d  Pm3m  Pn3n  Pm3n  Pn3m  Fm3m  Fm3c  Fd 3m  Fd 3c  Im3m  Ia3d

1. CRYSTAL GEOMETRY AND SYMMETRY Table 1.4.3.1. Arithmetic crystal classes classi®ed by the number of space groups that they contain Number of space groups in the class 1

2

3

4

 1P

1P 2C 222F  4P 3R  6P 23F

 4I  3P

 3R

32R

2P 222C 4I 3P   31mP 6=mP 23P  43mP

mP 222I 4=mI 312P   3m1P  6m2P 23I  43mF

mC mm2F 422I 321P   3mR  62mP  m3F  43mI

2=mC mmmF  4m2I 3m1P

mm2C 3Py 4P   m3P

mm2I 312Py

321Py

2mmC 4=mP 622P   m3mP

mmmC 422P  6Py

622Py

8

422Py

4mmP

10

mm2P

16

mmmP 4=mmmP

Enantiomorphs combined.

 42mI 31mP

3mR

 m3I  m3mI

432F

432I

mmmI  42mP 6=mmmP

 4m2P

4=mmmI

432P 

2=mP 222P 4Py 6P  432Py

6



Symbols of the arithmetic crystal classes

…ˆ mm2A† 4mmI 6mmP  m3mF

y Enantiomorphs distinguished.

classes contain only a single space group, whereas two contain 16 each. Certain arithmetic crystal classes (3P; 312P; 321P; 422P; 6P; 622P; 432P) contain enantiomorphous pairs of space groups, so that the number of members of these classes depends on whether the enantiomorphs are combined or distinguished. Such classes occur twice in Table 1.4.3.1, marked with  or y, respectively. The space groups in Table 1.4.2.1 are listed in the order of the arithmetic crystal class to which they belong. It will be noticed that arrangement according to the conventional spacegroup numbering would separate members of the same arithmetic crystal class in the geometric classes 2=m, 3m,  432, and 43m.  23, m3, This point is discussed in detail in Volume A of International Tables, p. 728. The symbols of ®ve space groups [C2me (Aem2), C2ce (Aea2), Cmce, Cmme, Ccce] have been conformed to those recommended in the fourth, revised edition of Volume A of International Tables.

1.4.2. Classi®cation of space groups Arithmetic crystal classes may be used to classify space groups on a scale somewhat ®ner than that given by the geometric crystal classes. Space groups are members of the same arithmetic crystal class if they belong to the same geometric crystal class, have the same Bravais lattice, and (when relevant) have the same orientation of the lattice relative to the point group. Each one-dimensional arithmetic crystal class contains a single space group, symbolized by p1 and pm, respectively. Most two-dimensional arithmetic crystal classes contain only a single space group; only 2mmp has as many as three. The space groups belonging to each geometric and arithmetic crystal class in two and three dimensions are indicated in Tables 1.4.1.1 and 1.4.2.1, and some statistics for the three-dimensional classes are given in Table 1.4.3.1. 12 three-dimensional 20

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1.4. ARITHMETIC CRYSTAL CLASSES AND SYMMORPHIC SPACE GROUPS The balance of symmetry elements within the symmorphic space groups is discussed in more detail in Subsection 9.7.1.2.

1.4.2.1. Symmorphic space groups The 73 space groups known as `symmorphic' are in one-to-one correspondence with the arithmetic crystal classes, and their standard `short' symbols (Bertaut, 1995) are obtained by interchanging the order of the geometric crystal class and the Bravais cell in the symbol for the arithmetic space group. In fact, conventional crystallographic symbolism did not distinguish between arithmetic crystal classes and symmorphic space groups until recently (de Wolff et al., 1985); the symbol of the symmorphic group was used also for the arithmetic class. This relationship between the symbols, and the equivalent rule-of-thumb symmorphic space groups are those whose standard (short) symbols do not contain glide planes or screw axes, reveal nothing fundamental about the nature of symmorphism; they are simply a consequence of the conventions governing the construction of symbols in International Tables for Crystallography.* Although the standard symbols of the symmorphic space groups do not contain screw axes or glide planes, this is a result of the manner in which the space-group symbols have been devised. Most symmorphic space groups do in fact contain screw axes and/or glide planes. This is immediately obvious for the symmorphic space groups based on centred cells; C2 contains equal numbers of diad rotation axes and diad screw axes, and Cm contains equal numbers of re¯ection planes and glide planes. This is recognized in the `extended' space-group symbols (Bertaut, 1995), but these are clumsy and not commonly used; those for C2 and Cm are C12211 and C1ma 1, respectively. In the more symmetric crystal systems, even symmorphic space groups with primitive cells contain screw axes and/or glide planes; P422 (P42221 ) contains many diad screw axes and P4=mmm (P4=m2=m2=m 21 =g ) contains both screw axes and glide planes.

1.4.3. Effect of dispersion on diffraction symmetry In the absence of dispersion (`anomalous scattering'), the intensities of the re¯ections hkl and h k l are equal (Friedel's law), and statements about the symmetry of the weighted reciprocal lattice and quantities derived from it often rest on the tacit or explicit assumption of this law ± the condition underlying it being forgotten. In particular, if dispersion is appreciable, the symmetry of the Patterson synthesis and the `Laue' symmetry are altered. 1.4.3.1. Symmetry of the Patterson function In Volume A of International Tables, the symmetry of the Patterson synthesis is derived in two stages. First, any glide planes and screw axes are replaced by mirror planes and the corresponding rotation axes, giving a symmorphic space group (Subsection 1.4.2.1). Second, a centre of symmetry is added. This second step involves the tacit assumption of Friedel's law, and should not be taken if any atomic scattering factors have appreciable imaginary components. In such cases, the symmetry of the Patterson synthesis will not be that of one of the 24 centrosymmetric symmorphic space groups, as given in Volume A, but will be that of the symmorphic space group belonging to the arithmetic crystal class to which the space group of the structure belongs. There are thus 73 possible Patterson symmetries. An equivalent description of such symmetries, in terms of 73 of the 1651 dichromatic colour groups, has been given by Fischer & Knop (1987); see also Wilson (1993). 1.4.3.2. `Laue' symmetry

* Three examples of informative de®nitions are: 1. The space group corresponding to the zero solution of the Frobenius congruences is called a symmorphic space group (Engel, 1986, p. 155). 2. A space group F is called symmorphic if one of its ®nite subgroups (and therefore an in®nity of them) is of an order equal to the order of the point group Rr (Opechowski, 1986, p. 255). 3. A space group is called symmorphic if the coset representatives Wj can be chosen in such a way that they leave one common point ®xed (Wondratschek, 1995, p. 717). Even in context, these are pretty opaque.

Similarly, the eleven conventional `Laue' symmetries [International Tables for Crystallography (1995), Volume A, p. 40 and elsewhere] involve the explicit assumption of Friedel's law. If dispersion is appreciable, the `Laue' symmetry may be that of any of the 32 point groups. The point group, in correct orientation, is obtained by dropping the Bravais-lattice symbol from the symbol of the arithmetic crystal class or of the Patterson symmetry.

References 1.1±1.3

Grimmer, H. (1989b). Coincidence orientations of grains in rhombohedral materials. Acta Cryst. A45, 505±523. Grimmer, H. & Warrington, D. H. (1985). Coincidence orientations of grains in hexagonal materials. J. Phys (Paris), 46, C4, 231±236. Hahn, Th. (1981). Meroedrische Zwillinge, Symmetrie, DomaÈnen, Kristallstrukturbestimmung. Z. Kristallogr. 156, 114±115, and private communication. Hahn, Th. (1984). Twin domains and twin boundaries. Acta Cryst. A40, C-117. International Tables for Crystallography (1983). Vol. A. Dordrecht: Reidel. International Tables for Crystallography (1987). Vol. A, second, revised ed. Dordrecht: Kluwer Academic Publishers. Klapper, H. (1987). X-ray topography of twinned crystals. Prog. Cryst. Growth Charact. 14, 367±401.

Cahn, R. W. (1954). Twinned crystals. Adv. Phys. 3, 363±445. Catti, M. & Ferraris, G. (1976). Twinning by merohedry and X-ray crystal structure determination. Acta Cryst. A32, 163±165. Donnay, G. & Donnay, J. D. H. (1974). Classi®cation of triperiodic twins. Can. Mineral. 12, 422±425. Flack, H. D. (1987). The derivation of twin laws for (pseudo-) merohedry by coset decomposition. Acta Cryst. A43, 564± 568. Grimmer, H. (1984). The generating function for coincidence site lattices in the cubic system. Acta Cryst. A40, 108±112. Grimmer, H. (1989a). Systematic determination of coincidence orientations for all hexagonal lattices with axial ratios c/a in a given interval. Acta Cryst. A45, 320±325. 21

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1. CRYSTAL GEOMETRY AND SYMMETRY 1.1±1.3 (cont.)

Fischer, K. F. & Knop, W. E. (1987). Space groups for imaginary Patterson and for difference Patterson functions in the lambda technique. Z. Kristallogr. 180, 237-242. Hahn, Th. (1995). Editor. International tables for crystallography, Vol. A. Space-group symmetry, fourth, revised, ed. Dordrecht: Kluwer Academic Publishers. International Tables for Crystallography (1995). Vol. A. Spacegroup symmetry, fourth, revised ed., edited by Th. Hahn. Dordrecht: Kluwer Academic Publishers. Opechowski, W. (1986). Crystallographic and metacrystallographic groups. Amsterdam: North Holland. Wilson, A. J. C. (1993). Laue and Patterson symmetry in the complex case. Z. Kristallogr. 208, 199±206. Wolff, P. M. de, Belov, N. V., Bertaut, E. F., Buerger, M. J., Donnay, J. D. H., Fischer, W., Hahn, Th., Koptsik, V. A., Mackay, A. L., Wondratschek, H., Wilson, A. J. C. & Abrahams, S. C. (1985). Nomenclature for crystal families, Bravais-lattice types and arithmetic classes. Acta Cryst. A41, 278±280. Wondratschek, H. (1995). Introduction to space-group symmetry. International tables for crystallography, Vol. A, edited by Th. Hahn, pp. 712±735. Dordrecht: Kluwer Academic Publishers.

Klapper, H., Hahn, Th. & Chung, S. J. (1987). Optical, pyroelectric and X-ray topographic studies of twin domains and twin boundaries in KLiSO4 . Acta Cryst. B43, 147±159. LePage, Y., Donnay, J. D. H. & Donnay, G. (1984). Printing sets of structure factors for coping with orientation ambiguities and possible twinning by merohedry. Acta Cryst. A40, 679±684. 1.4 Bertaut, E. F. (1995). Synoptic tables of space-group symbols. Group±subgroup relations. In International tables for crystallography, Vol. A, edited by Th. Hahn, pp. 50±68. Dordrecht: Kluwer Academic Publishers. Brown, H., BuÈlow, R., NeubuÈser, J., Wondratschek, H. & Zassenhaus, H. (1978). Crystallographic groups of fourdimensional space. New York: Wiley. Engel, P. (1986). Geometric crystallography. Dordrecht: Reidel. (Present distributor Kluwer Academic Publishers, Dordrecht.)

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references

International Tables for Crystallography (2006). Vol. C, Chapter 2.1, pp. 24–25.

2.1. Classification of experimental techniques By J. R. Helliwell

The diffraction of a wave of characteristic length, l, by a crystal sample requires that l is of the same order in size as the interatomic separation. Beams of X-rays, neutrons, and electrons can easily satisfy this requirement; for the latter two, the wavelength is determined by the de Broglie relationship l ˆ h=p, where h is Planck's constant and p is the momentum. We can define `diffraction geometry' as the description of the relationship between the beam and the sample orientation and the subsequent interception of the diffracted rays by a detector of given geometry and imaging properties. Each diffracted ray represents successful, constructive interference. The full stimulation of a reflection is achieved either by using a continuum of values of l incident on the crystal, as used originally by Friedrich, Knipping & von Laue (1912) (the Laue method) or alternatively by using a monochromatic beam and rotation or precession of a crystal (moving-crystal methods) or a set of randomly oriented crystallites (the powder method). The analysis of single-crystal reflection intensities allows the three-dimensional architecture of molecules to be determined. However, a single crystal cannot always be obtained. Diffraction from noncrystalline samples, i.e. fibres, amorphous materials or solutions, yields less detailed, but often very valuable, molecular information. Another method, surface diffraction, involves the determination of the organization of atoms deposited on the surface of a crystal substrate; a surface of perfectly repeating identical units, in identical environments, on such a substrate is sometimes referred to as a two-dimensional crystal. Ordered twodimensional arrangements of proteins in membranes are studied by electron diffraction and, more recently, by undulator X-radiation. Another experimental probe of the structure of matter is EXAFS (extended X-ray absorption fine structure). This technique yields details of the local environment of a

specific atom whose X-ray absorption edge is stimulated; the atom absorbs an X-ray photon and yields up a photoelectron, which can be scattered by neighbouring atoms. Interpretation of EXAFS therefore closely follows low-energy electron-diffraction (LEED) theory. All these methods (Table 2.1.1) can be called methods of structure analysis. Techniques for examining the perfection of crystals are also very important. Defects in crystals represent irregularities in the growth of a perfect crystalline array. There are many types of defect. The experimental technique of X-ray topography (Chapter 2.7) is used to image irregularities in a crystal lattice. X-ray techniques have expanded in the 1970's and 1980's with the utilization of synchrotron radiation. The methods based on the use of neutrons and electrons have developed. Broadly speaking, the diffraction geometry is independent of the nature of the wave and depends only on its state, namely, the wavelength, l, the spectral bandpass, l=l, the convergence/divergence angles, and the beam direction. In what follows, the term monochromatic refers to the case where there is, practically speaking, a very small but finite wavelength spread. Similarly, the term polychromatic refers to the situation where the wavelength spread is of the same order as the mean wavelength. The technical means by which a given beam (of X-rays, neutrons or electrons) is conditioned vary, as do the means of detection. These methods are dealt with in the following pages as far as they relate to the geometry of diffraction. In the previous version of International Tables (IT II, 1959, Part 4), various diffraction geometries were detailed and a variety of numerical tables were given. The numerical tables have mainly been dispensed with since the use of hand-held calculators and computers has rendered them obsolete.

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2.1 CLASSIFICATION OF EXPERIMENTAL TECHNIQUES Table 2.1.1. Summary of main experimental techniques for structure analysis Beam Name of technique

Usual type

Spectrum

Sample

Usual detectors

…A† Single crystal Laue

X-ray or neutron

Polychromatic

Stationary single crystal

Film; image plate or storage phosphor; electronic area detector (e.g. CCD); for neutron case, detector sensitive to time-of-flight

Still

X-ray or neutron or electron

Monochromatic

Stationary single crystal

Film; image plate or storage phosphor; electronic area detector (e.g. MWPC, TV, CCD)

Rotation/oscillation

X-ray

Monochromatic

Single crystal rotating about a single axis (typical angular range per exposure 5±15 for small molecule; 1±2 for protein; 0.25±0.5 for virus)

Film; image plate or storage phosphor; electronic area detector (e.g. MWPC, TV, CCD)

Weissenberg

X-ray

Monochromatic

Single crystal rotating about a single axis (angular range 15 ), coupled with detector translation

Film; image plate or storage phosphor

Precession

X-ray

Monochromatic

Single crystal (the normal to a reciprocal-lattice plane precesses about X-ray beam)

Flat film moving behind a screen coupled with crysal so as to be held parallel to a reciprocal-lattice plane

Diffractometry

X-ray or neutron

Monochromatic

Single crystal rotated over a small angular range

Single counter, linear detector or area detector

Monochromatic powder method

X-ray or neutron or electron

Monochromatic

Powder sample rotated to increase range of orientations presented to beam

Film or image plate; counter; 1D positionsensitive detector (linear or curved)

Energy-dispersive powder method

X-ray or neutron

Polychromatic

Powder sample

Energy-dispersive counter (for neutron case, detector sensitive to time-of-flight)

…B† Polycrystalline powders

…C† Fibres, solutions, surfaces, and membranes Fibre method

X-ray or neutron

Monochromatic

Single fibre or a bundle of fibres; preferred orientation in a sample

Film or image plate; electronic area detector (e.g. MWPC or TV); records high-angle or low-angle diffraction data

Solution or `small-angle method'

X-ray or neutron

Monochromatic

Dilute solutions of particles; crystalline defects

Counter or MWPC

Surface diffraction

Electron or X-ray

Monochromatic

Atoms deposited or adsorbed onto a substrate

Phosphor or counter

Membranes

Electron or X-ray

Monochromatic

Naturally occurring 2D ordered membrane protein

Film or image plate; CCD

Notes (1) Monochromatic. Typical value of spectral spread, l=l, on a conventional X-ray source; K1 K2 line separation  2:5  10 3 , K1 line width  10 4 . On a synchrotron source a variable quantity dependent on type of monochromator; typical values  10 3 or  10 4 for the two common monochromator types (see Figs. 2.2.7.2 and 2.2.7.3, respectively). (2) CCD ˆ charge-coupled device; MWPC ˆ multiwire proportional chamber detector; TV ˆ television detector. (3) Image plate is a trade name of Fuji. Storage phosphor is a trade name of Kodak. (4) EXAFS can be performed on all types of sample whether crystalline or noncrystalline. It uses an X-ray beam that is tuned around an absorption edge and the transmitted intensity or the fluorescence emission is measured.

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International Tables for Crystallography (2006). Vol. C, Chapter 2.2, pp. 26–41.

2.2. Single-crystal X-ray techniques By J. R. Helliwell

and computer re®nement of crystal orientation following initial crystal setting. Precession photography allows the isolation of a speci®c zone or plane of re¯ections for which indexing can be performed by inspection, and systematic absences and symmetry are explored. From this, space-group assignment is made. The use of precession photography is usually avoided in small-molecule crystallography where auto-indexing methods are employed on a single-crystal diffractometer. In such a situation, the burden of data collection is not huge and symmetry elements can be determined after data collection. This is also now carried out on electronic area detectors in conjunction with auto-indexing principally at present for macromolecular crystallography but also for chemical crystallography. In the following sections, the geometry of each method is dealt with in an idealized form. The practical realization of each geometry is then dealt with, including the geometric distortions introduced in the image by electronic area detectors. A separate section deals with the common means for beam conditioning, namely mirrors, monochromators, and ®lters. Suf®cient detail is given to establish the magnitude of the wavelength range, spectral spreads, beam divergence and convergence angles, and detector effects. These values can then be utilized along with the formulae given for the calculation of spot bandwidth, spot size, and angular re¯ecting range.

In Chapter 2.1 Classi®cation of experimental techniques there are given the various common approaches to the recording of X-ray crystallographic data, in different geometries, for crystal structure analysis. These are: (a) Laue geometry; (b) monochromatic still exposure; (c) rotation/oscillation geometry; (d) Weissenberg geometry; (e) precession geometry; ( f ) diffractometry. The reasons for the choice of order are as follows. Laue geometry is dealt with ®rst because it was historically the ®rst to be used (Friedrich, Knipping & von Laue, 1912). In addition, the ®rst step that should be carried out with a new crystal, at least of a small molecule, is to take a Laue photograph to make the ®rst assessment of crystal quality. For macromolecules, the monochromatic still serves the same purpose. From consideration of the monochromatic still geometry, we can then describe the cases of single-axis rotation (rotation/oscillation method), singleaxis rotation coupled with detector translation (Weissenberg method), crystal and detector precession (precession method), and ®nally three-axis goniostat and rotatable detector or area detector (diffractometry). Method (a) uses a polychromatic beam of broad wavelength Ê if the bandwidth is restricted bandpass (e.g. 0:2  l  2:5 A); (e.g. to l=l ˆ 0:2), then it is sometimes referred to as narrowbandpass Laue geometry. The remaining methods (b)±( f ) use a monochromatic beam. There are textbooks that concentrate on almost every geometry. References to these books are given in the respective sections in the following pages. However, in addition, there are several books that contain details of diffraction geometry. Blundell & Johnson (1976) describe the use of the various diffraction geometries with the examples taken from protein crystallography. There is an extensive discussion and many practical details to be found in the textbooks of Stout & Jensen (1968), Woolfson (1970, 1997), Glusker & Trueblood (1971, 1985), Vainshtein (1981), and McKie & McKie (1986), for example. A collection of early papers on the diffraction of Xrays by crystals involving, inter alia, experimental techniques and diffraction geometry, can be found in Bijvoet, Burgers & HaÈgg (1969, 1972). A collection of papers on, primarily, protein and virus crystal data collection via the rotation-®lm method and diffractometry can be found in Wyckoff, Hirs & Timasheff (1985). Synchrotron instrumentation, methods, and applications are dealt with in the books of Helliwell (1992) and Coppens (1992). Quantitative X-ray crystal structure analysis usually involves methods (c), (d), and ( f ), although (e) has certainly been used. Electronic area detectors or image plates are extensively used now in all methods. Traditionally, Laue photography has been used for crystal orientation, crystal symmetry, and mosaicity tests. Rapid recording of Laue patterns using synchrotron radiation, especially with protein crystals or with small crystals of small molecules, has led to an interest in the use of Laue geometry for quantitative structure analysis. Various fundamental objections made, especially by W. L. Bragg, to the use of Laue geometry have been shown not to be limiting. The monochromatic still photograph is used for orientation setting and mosaicity tests, for protein or virus crystallography,

2.2.1. Laue geometry The main book dealing with Laue geometry is AmoroÂs, Buerger & AmoroÂs (1975). This should be used in conjunction with Henry, Lipson & Wooster (1951), or McKie & McKie (1986); see also Helliwell (1992, chapter 7). There is a synergy between synchrotron and neutron Laue diffraction developments (see Helliewell & Wilkinson, 1994). 2.2.1.1. General The single crystal is bathed in a polychromatic beam of X-rays containing wavelengths between lmin and lmax . A particular crystal plane will pick out a general wavelength l for which constructive interference occurs and re¯ect according to Bragg's law l ˆ 2d sin ;

where d is the interplanar spacing and  is the angle of re¯ection. A sphere drawn with radius 1=l and with the beam direction as diameter, passing through the origin of the reciprocal lattice (the point O in Fig. 2.2.1.1), will yield a re¯ection in the direction drawn from the centre of the sphere and out through the reciprocal-lattice point (relp) provided the relp in question lies on the surface of the sphere. This sphere is known as the Ewald sphere. Fig. 2.2.1.1 shows the Laue geometry, in which there exists a nest of Ewald spheres of radii between 1=lmax and 1=lmin . An alternative convention is feasible whereby only a single Ewald sphere is drawn of radius 1 reciprocal-lattice unit (r.l.u.). Then each relp is no longer a point but a streak between lmin =d and lmax =d from the origin of reciprocal space (see McKie & McKie, 1986, p. 297). In the following discussions on the Laue approach, this notation is not followed. We use the nest of Ewald spheres of varying radii instead. 26

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…2:2:1:1†

2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES aligned protein crystal. For a description of the indexing of a Laue photograph, see Bragg (1928, pp. 28, 29). For a Laue spot at a given , only the ratio l=d is determined, whether it is a single or a multiple relp component spot. If the unit-cell parameters are known from a monochromatic experiment, then a Laue spot at a given  yields l since d is then known. Conversely, precise unit-cell lengths cannot be determined from a Laue pattern alone; methods are, however, being developed to determine these (see Carr, Cruickshank & Harding, 1992). The maximum Bragg angle max is given by the equation

Any relp (hkl) lying in the region of reciprocal space between the 1=lmax and 1=lmin Ewald spheres and the resolution sphere 1=dmin will diffract (the shaded area in Fig. 2.2.1.1). This region of reciprocal space is referred to as the accessible or stimulated region. Fig. 2.2.1.2 shows a predicted Laue pattern from a well

max ˆ sin 1 …lmax =2dmin †:

…2:2:1:2†

2.2.1.2. Crystal setting The main use of Laue photography has in the past been for adjustment of the crystal to a desired orientation. With smallmolecule crystals, the number of diffraction spots on a monochromatic photograph from a stationary crystal is very small. With un®ltered, polychromatic radiation, many more spots are observed and so the Laue photograph serves to give a better idea of the crystal orientation and setting prior to precession photography. With protein crystals, the monochromatic still is used for this purpose before data collection via an area detector. This is because the number of diffraction spots is large on a monochromatic still and in a protein-crystal Laue photograph the stimulated spots from the Bremsstrahlung continuum are generally very weak. Synchrotron-radiation Laue photographs of protein crystals can be recorded with short exposure times. These patterns consist of a large number of diffraction spots. Crystal setting via Laue photography usually involves trying to direct the X-ray beam along a zone axis. Angular mis-setting angles " in the spindle and arc are easily calculated from the formula

Fig. 2.2.1.1. Laue geometry. A polychromatic beam containing wavelengths lmin to lmax impinges on the crystal sample. The  ˆ 1=dmin is drawn centred at O, the resolution sphere of radius dmax origin of reciprocal space. Any reciprocal-lattice point falling in the shaded region is stimulated. In this diagram, the radius of each Ewald sphere uses the convention 1=l.

" ˆ tan 1 …
=D†;

…2:2:1:3†

where
is the distance (resolved into vertical and horizontal) from the beam centre to the centre of a circle of spots de®ning a zone axis and D is the crystal-to-®lm distance. After suitable angular correction to the sample orientation, the Laue photograph will show a pronounced blank region at the centre of the ®lm (see Fig. 2.2.1.2). The radius of the blank region is determined by the minimum wavelength in the beam and the magnitude of the reciprocal-lattice spacing parallel to the X-ray beam (see Jeffery, 1958). For the case, for example, of the X-ray beam perpendicular to the a b plane, then lmin ˆ c…1

cos 2†;

…2:2:1:4a†

where 2 ˆ tan 1 …R=D†

…2:2:1:4b†

and R is the radius of the blank region (see Fig. 2.2.1.2), and D is the crystal-to-¯at-®lm distance. If lmin is known then an approximate value of c, for example, can be estimated. The principal zone axes will give the largest radii for the central blank region. 2.2.1.3. Single-order and multiple-order re¯ections In Laue geometry, several relp's can occur in a Laue spot or ray. The number of relp's in a given spot is called the multiplicity of the spot. The number of spots of a given multiplicity can be plotted as a histogram. This is known as the multiplicity distribution. The form of this distribution is dependent on the ratio lmax =lmin . The multiplicity distribution

Fig. 2.2.1.2. A predicted Laue pattern of a protein crystal with a zone axis parallel to the incident, polychromatic X-ray beam. There is a pronounced blank region at the centre of the ®lm (see Subsection 2.2.1.2). The spot marked N is one example of a nodal spot (see Subsection 2.2.1.4).

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION    1 1 1 1 Qˆ 1 23 33

in Laue diffraction is considered in detail by Cruickshank, Helliwell & Moffat (1987). Any relp nh, nk, nl (n integer) will be stimulated by a wavelength l=n since dnhnknl ˆ dhkl =n, i.e. l d ˆ 2 hkl sin : n n

ˆ 0:832 . . . :

 1 ... 53 …2:2:1:6†

Hence, for a relp where dmin < dhkl < 2dmin there is a very high probability (83.2%) that the Laue spot will be recorded as a single-wavelength spot. Since this region of reciprocal space corresponds to 87.5% (i.e. 7=8) of the volume of reciprocal space within the resolution sphere then 0:875  0:832 ˆ 72:8% is the probability for a relp to be recorded in a single-wavelength spot. According to W. L. Bragg, all Laue spots should be multiple. He reasoned that for each h, k, l there will always be a 2h, 2k, 2l etc. lying within the same Laue spot. However, as the resolution limit is increased to accommodate this many more relp's are added, for which their hkl's have no common divisor. The above discussion holds for in®nite bandwidth. The effect of a more experimentally realistic bandwidth is to increase the proportion of single-wavelength spots. The number of relp's within the resolution sphere is

…2:2:1:5†

However, dnhnknl must be > dmin as otherwise the re¯ection is beyond the sample resolution limit. If h, k, l have no common integer divisor and if 2h, 2k, 2l is beyond the resolution limit, then the spot on the Laue diffraction photograph is a single-wavelength spot. The probability that h, k, l have no common integer divisor is

3 4 dmax ; 3 V

…2:2:1:7†

 ˆ 1=dmin and V  is the reciprocal unit-cell volume. where dmax The number of relp's within the wavelength band lmax to lmin ,  , is (Moffat, Schildkamp, Bilderback & Volz, for lmax < 2=dmax 1986) 4  …lmax lmin †dmax : 4 V

…2:2:1:8†

Ê wavelength Note that the number of relp's stimulated in a 0.1 A Ê , is the same as that interval, for example between 0.1 and 0.2 A Ê , for example. A large number of relp's between 1.1 and 1.2 A are stimulated at one orientation of the crystal sample. The proportion of relp's within a sphere of small d (i.e. at low resolution) actually stimulated is small. In addition, the probability of them being single is zero in the in®nite-band-width case and small in the ®nite-bandwidth case. However, Laue

Fig. 2.2.1.3. A multiple component spot in Laue geometry. A ray of multiplicity 5 is shown as an example. The inner point A corresponds to d and a wavelength l, the next point, B, is d=2 and wavelength l=2. The outer point E corresponds to d=5 and l=5. Rotation of the sample will either exclude inner points (at the lmax surface) or outer points (at the lmin surface) and so determine the recorded multiplicity.

 Fig. 2.2.1.4. The variation with M ˆ lmax =lmin of the proportions of relp's lying on single, double, and triple rays for the case lmax < 2=dmax . From Cruickshank, Helliwell & Moffat (1987).

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2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES ± form a set largely distinct, except at short crystal-to-detector distances, from those involved in spatial overlaps, which are mostly singles (Helliwell, 1985). From a knowledge of the form of the angular distribution, it is  possible, e.g. from the gaps bordering conics, to estimate dmax and lmin . However, a development of this involving gnomonic projections can be even more effective (Cruickshank, Carr & Harding, 1992).

geometry is an ef®cient way of measuring a large number of   and dmax =2 as single-wavelength spots. relp's between dmax The above is a brief description of the overall multiplicity distribution. For a given relp, even of simple hkl values, lying on a ray of several relp's (multiples of hkl), a suitable choice of crystal orientation can yield a single-wavelength spot. Consider, for example, a spot of multiplicity 5. The outermost relp can be recorded at long wavelength with the inner relp's on the ray excluded since they need l's greater than lmax (Fig. 2.2.1.3). Alternatively, by rotating the sample, the innermost relp can be measured uniquely at short wavelength with the outer relp's excluded (they require l's shorter than lmin ). Hence, in Laue geometry several orientations are needed to recover virtually all relp's as singles. The multiplicity distribution is shown in Fig. 2.2.1.4 as a function of lmax =lmin (with the corresponding values of l=lmean ).

2.2.1.5. Gnomonic and stereographic transformations A useful means of transformation of the ¯at-®lm Laue pattern is the gnomonic projection. This converts the pattern of spots lying on curved arcs to points lying on straight lines. The stereographic projection is also used. Fig. 2.2.1.5 shows the graphical relationships involved [taken from International Tables, Vol. II (Evans & Lonsdale, 1959)], for the case of a Laue pattern recorded on a plane ®lm, between the incidentbeam direction SN, which is perpendicular to a ®lm plane and the Laue spot L and its spherical, stereographic, and gnomonic points Sp , St and G and the stereographic projection Sr of the re¯ected beams. If the radius of the sphere of projection is taken equal to D, the crystal-to-®lm distance, then the planes of the gnomonic projection and of the ®lm coincide. The lines producing the various projection poles for any given crystal plane are coplanar with the incident and re¯ected beams. The transformation equations are

2.2.1.4. Angular distribution of re¯ections in Laue diffraction There is an interesting variation in the angular separations of Laue re¯ections that shows up in the spatial distributions of spots on a detector plane (Cruickshank, Helliwell & Moffat, 1991). There are two main aspects to this distribution, which are general and local. The general aspects refer to the diffraction pattern as a whole and the local aspects to re¯ections in a particular zone of diffraction spots. The general features include the following. The spatial density of spots is everywhere proportional to 1=D2 , where D is the crystal-to-detector distance, and to 1=V  , where V  is the reciprocal-cell volume. There is also though a substantial variation in spatial density with diffraction angle ; a prominent maximum occurs at c ˆ sin

1

 …lmin dmax =2†:

…2:2:1:10†

PG ˆ D cot 

…2:2:1:11†

PS ˆ D

…2:2:1:9†

cos  …1 ‡ sin †

PR ˆ D tan :

Local aspects of these patterns particularly include the prominent conics on which Laue re¯ections lie. That is, the local spatial distribution is inherently one-dimensional in character. Between multiple re¯ections (nodals), there is always at least one single and therefore nodals have a larger angular separation from their nearest neighbours. The blank area around a nodal in a Laue pattern (Fig. 2.2.1.2) has been noted by Jeffery (1958). The smallest angular separations, and therefore spatially overlapped cases, are associated with single Laue re¯ections. Thus, the re¯ections involved in energy overlaps ± the multiples

…2:2:1:12† …2:2:1:13†

2.2.2. Monochromatic methods In this section and those that follow, which deal with monochromatic methods, the convention is adopted that the Ewald sphere takes a radius of unity and the magnitude of the reciprocal-lattice vector is l=d. This is not the convention used in the Laue section above. Some historical remarks are useful ®rst before progressing to discuss each monochromatic geometry in detail. The original rotation method (for example, see Bragg, 1949) involved a rotation of a perfectly aligned crystal of 360 . For reasons of relatively poor collimation of the X-ray beam, leading to spot-tospot overlap, and background build-up, Bernal (1927) introduced the oscillation method whereby a repeated, limited, angular range was used to record one pattern and a whole series of contiguous ranges on different ®lm exposures were collected to provide a large angular coverage overall. In a different solution to the same problem, Weissenberg (1924) utilized a layer-line screen to record only one layer line but allowed a full rotation of the crystal but now coupled to translation of the detector, thus avoiding spot-to-spot overlap. Again, several exposures were needed, involving one layer line collected on each exposure. The advent of synchrotron radiation with very high intensity allows small beam sizes at the sample to be practicable, thus simultaneously creating small diffraction spots and minimizing background scatter. The very ®ne collimation of the synchrotron beam keeps the diffraction-spot sizes small as they traverse their path to the detector plane.

Fig. 2.2.1.5. Geometrical principles of the spherical, stereographic, gnomonic, and Laue projections. From Evans & Lonsdale (1959).

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PL ˆ D tan 2

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION The terminology used today for different methods is essentially the same as originally used except that the rotation method now tends to mean limited angular ranges (instead of 360 ) per diffraction photograph/image. The Weissenberg method in its modern form now employed at a synchrotron is a screenless technique with limited angular range but still with detector translation coupled to crystal rotation.

The diffraction spots lie on curved arcs where each curve corresponds to the intersection with a ®lm of a cone. With a ¯at ®lm the intersections are conic sections. The curved arcs are obviously recognizable for the protein crystal case where there are a large number of spots.

2.2.2.2. Crystal setting

2.2.2.1. Monochromatic still exposure

Crystal setting follows the procedure given in Subsection 2.2.1.2 whereby angular mis-setting angles are given by equation (2.2.1.3). When viewed down a zone axis, the pattern on a ¯at ®lm or electronic area detector has the appearance of a series of concentric circles. For example,  the ®rst circle corresponds to with the beam parallel to ‰001Š, l ˆ 1, the second to l ˆ 2, etc. The radius of the ®rst circle R is related to the interplanar spacing between the (hk0) and (hk1) planes, i.e. l=c (in this example), through , by the formulae

In a monochromatic still exposure, the crystal is held stationary and a near-zero wavelength-bandpass (e.g. l=l ˆ 0:001) beam impinges on it. For a small-molecule crystal, there are few diffraction spots. For a protein crystal, there are many (several hundred), because of the much denser reciprocal lattice. The actual number of stimulated relp's depends on the reciprocal-cell parameters, the size of the mosaic spread of the crystal, the angular beam divergence as well as the small, but ®nite, spectral spread, l=l. Diffraction spots are only partially stimulated instead of fully integrated over wavelength, as in the Laue method, or over an angular rotation (the rocking width) in rotating-crystal monochromatic methods.

tan 2 ˆ R=D;

cos 2 ˆ 1

l=c:

…2:2:2:1†

Fig. 2.2.3.1. (a) Elevation of the sphere of re¯ection. O is the origin of the reciprocal lattice. C is the centre of the Ewald sphere. The incident beam is shown in the plane. (b) Plan of the sphere of re¯ection. R is the projection of the rotation axis on the equatorial plane. (c) Perspective diagram. P is the relp in the re¯ection position with the cylindrical coordiantes ; ; '. The angular coordinates of the diffracted beam are v,  . (d) Stereogram to show the direction of the diffracted beam, v,  , with DD0 , normal to the incident beam and in the equatorial plane, as the projection diameter. From Evans & Lonsdale (1959).

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2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES 2.2.3. Rotation/oscillation geometry

cos  ˆ 1

The main modern book dealing with the rotation method is that of Arndt & Wonacott (1977).

2 ; 2 cos2 

…2:2:3:10†

(d)  ˆ 0, ¯at cone

2.2.3.1. General

ˆ

The purpose of the monochromatic rotation method is to stimulate a re¯ection fully over its rocking width via an angular rotation. Different relp's are rotated successively into the re¯ecting position. The method, therefore, involves rotation of the sample about a single axis, and is used in conjunction with an area detector of some sort, e.g. ®lm, electronic area detector or image plate. The use of a repeated rotation or oscillation, for a given exposure, is simply to average out any time-dependent changes in incident intensity or sample decay. The overall crystal rotation required to record the total accessible region of reciprocal space for a single crystal setting, and a detector picking up all the diffraction spots, is 180 ‡ 2max . If the crystal has additional symmetry, then a complete asymmetric unit of reciprocal space can be recorded within a smaller angle. There is a blind region close to the rotation axis; this is detailed in Subsection 2.2.3.5.

cos  ˆ

sin  2 2 p : 2 1 2

2

…2:2:3:11†

…2:2:3:12†

In this section, we will concentrate on case (a), the normalbeam rotation method ( ˆ 0). First, the case of a plane ®lm or detector is considered.

2.2.3.2. Diffraction coordinates Figs. 2.2.3.1(a) to (d) are taken from IT II (1959, p. 176). They neatly summarize the geometrical principles of re¯ection, of a monochromatic beam, in the reciprocal lattice for the general case of an incident beam inclined at an angle () to the equatorial plane. The diagrams are based on an Ewald sphere of unit radius. With the nomenclature of Table 2.2.3.1: Fig 2.2.3.1(a) gives sin  ˆ sin  ‡ :

…2:2:3:1†

Fig. 2.2.3.1(b) gives, by the cosine rule, cos2  ‡ cos2  2 2 cos  cos 

…2:2:3:2†

cos2  ‡ 2 cos2  ; 2 cos 

…2:2:3:3†

cos  ˆ and cos  ˆ

and Figs. 2.2.3.1(a) and (b) give 2 ‡ 2 ˆ d 2 ˆ 4 sin2 :

…2:2:3:4†

The following special cases commonly occur: (a)  ˆ 0, normal-beam rotation method, then sin  ˆ 

…2:2:3:5†

and cos  ˆ

2 2 p ; 2 1 2

2

…2:2:3:6†

(b)  ˆ , equi-inclination (relevant to Weissenberg upperlayer photography), then ˆ

2 sin  ˆ 2 sin 

…2:2:3:7†

2 ; 2 cos2 

…2:2:3:8†

cos  ˆ 1 (c)  ˆ ‡, anti-equi-inclination

ˆ0

Fig. 2.2.3.2. Geometrical principles of recording the pattern on (a) a plane detector, (b) a V-shaped detector, (c) a cylindrical detector.

…2:2:3:9† 31

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION The coordinates of a re¯ection on a ¯at ®lm …YF ; ZF † are related to the cylindrical coordinates of a relp …; † [Fig. 2.2.3.2(a)] by

Table 2.2.3.1. Glossary of symbols used to specify quantities on diffraction patterns and in reciprocal space 

Bragg angle

2

Angle of deviation of the re¯ected beam with respect to the incident beam

S^ o

Unit vector lying along the direction of the incident beam

S^

Unit vector lying along the direction of the re¯ected beam

s ˆ …S^



YF ˆ D tan  ZF ˆ D sec  tan ; which becomes ZF ˆ 2D=…2

S^ o † The scattering vector of magnitude 2 sin . s is perpendicular to the bisector of the angle between S^ o ^ s is identical to the reciprocal-lattice vector d of and S. magnitude l=d, where d is the interplanar spacing, when d is in the diffraction condition. In this notation, the radius of the Ewald sphere is unity. This convention is adopted because it follows that in Volume II of International Tables (p. 175). Note that in Section 2.2.1 Laue geometry the alternative convention (jd j ˆ 1=d) is adopted whereby the radius of each Ewald sphere is 1=l. This allows a nest of Ewald spheres between 1=lmax and 1=lmin to be drawn

d 2 =2†:

…2:2:3:17†

The angle of inclination of S^ o to the equatorial plane



The angle between the projections of S^ o and S^ onto the equatorial plane



The angle of inclination of S^ to the equatorial plane

!; ; '

The crystal setting angles on the four-circle diffractometer (see Fig. 2.2.6.1). The ' used here is not the same as that in the rotation method (Fig. 2.2.3.3). This clash in using the same symbol twice is inevitable because of the widespread use of the rotation camera and four-circle diffractometer.

YF cos †=…1

This situation also corresponds to the case of ¯at electronic area detector inclined to the incident beam in a similar way. Note that Arndt & Wonacott (1977) use  instead of  here. We use  and so follow IT II (1959). This avoids confusion with the  of Table 2.2.3.1. D is the crystal to V distance. In the case of the V cassettes of Enraf±Nonius,  is 60 . For the case of a cylindrical ®lm or image plate where the axis of the cylinder is coincident with the rotation axis [Fig. 2.2.3.2(c)] then, for  in degrees, 2 D 360

…2:2:3:18†

ZF ˆ D tan ;

…2:2:3:19†

D ZF ˆ p : …1 2 †

…2:2:3:20†

YF ˆ

which becomes

The angle of rotation from a de®ned datum orientation to bring a relp onto the Ewald sphere in the rotation method (see Fig. 2.2.3.3)



…2:2:3:15†

…2:2:3:16†

ZF ˆ …D

The angular coordinate of P, measured as the angle between  and S^ o [see Fig. 2.2.3.1(b)]

'

2 †;

YF ˆ D tan  =…sin  ‡ cos  tan  †

Radial coordinate of a point P in reciprocal space; that is, the radius of a cylinder having the rotation axis as axis



2

where D is the crystal-to-®lm distance. For the case of a V-shaped cassette with the V axis parallel to the rotation axis and the ®lm making an angle  to the beam direction [Fig. 2.2.3.2(b)], then

Coordinate of a point P in reciprocal space parallel to a rotation axis as the axis of cylindrical coordinates relative to the origin of reciprocal space



…2:2:3:13† …2:2:3:14†

Here, D is the radius of curvature of the cylinder assuming that the crystal is at the centre of curvature. In the three geometries mentioned here, detector-misalignment errors have to be considered. These are three orthogonal angular errors, translation of the origin, and error in the crystalto-®lm distance.

The equatorial plane is the plane normal to the rotation axis.

The notation now follows that of Arndt & Wonacott (1977) for the coordinates of a spot on the ®lm or detector. ZF is parallel to the rotation axis and . YF is perpendicular to the rotation axis and the beam. IT II (1959, p. 177) follows the convention of y being parallel and x perpendicular to the rotation-axis direction, i.e. …YF ; ZF †  …x; y†. The advantage of the …YF ; ZF † notation is that the x-axis direction is then the same as the X-ray beam direction.

Fig. 2.2.3.3. The rotation method. De®nition of coordinate systems. [Cylindrical coordinates of a relp P (; ; ') are de®ned relative to the axial system X0 Y0 Z0 which rotates with the crystal.] The axial system XYZ is de®ned such that X is parallel to the incident beam and Z is coincident with the rotation axis. From Arndt & Wonacott (1977).

32

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2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES 3 2 1 0 0 7 6 Ux ˆ 4 0 cos
'x …2:2:3:26† sin
'x 5 0 sin
'x cos
'x 2 3 cos
'y 0 sin
'y 6 7 0 1 0 Uy ˆ 4 …2:2:3:27† 5 sin
' 0 cos
' y y 2.2.3.3. Relationship of reciprocal-lattice coordinates to crystal 2 3 system parameters sin
'z 0 cos
'z 6 7 cos
'z 0 5; …2:2:3:28† Uz ˆ 4 sin
'z The reciprocal-lattice coordinates, ; ;  ; , etc. used earlier, refer to an axial system ®xed to the crystal, X0 Y0 Z0 of Fig. 0 0 1 2.2.3.3. Clearly, a given relp needs to be brought into the Ewald sphere by the rotation about the rotation axis. The treatment here where
'x ,
'y , and
'z are angles around the X0 , Y0 , and Z0 follows Arndt & Wonacott (1977). axes, respectively. The rotation angle required, ', is with respect to some Hence, the relationship between X0 and h is reference `zero-angle' direction and is determined by the …2:2:3:29† X 0 ˆ Uz Uy Ux MAh: particular crystal parameters. It is necessary to de®ne a standard orientation of the crystal (i.e. datum) when ' ˆ 0 . If we de®ne an axial system X0 Y0 Z0 ®xed to the crystal and a laboratory axis 2.2.3.4. Maximum oscillation angle without spot overlap system XYZ with X parallel to the beam and Z coincident with the For a given oscillation photograph, there is maximum value of rotation axis then ' ˆ 0 corresponds to these axial systems the oscillation range,
', that avoids overlapping of spots on a being coincident (Fig. 2.2.3.3). ®lm. The overlap is most likely to occur in the region of the The angle of the crystal at which a given relp diffracts is diffraction pattern perpendicular to the rotation axis and at the maximum Bragg angle. This is where relp's pass through the Ewald sphere with the greatest velocity. For such a separation 2 2 4 1=2 2y  …4y0 ‡ 4x0 d † between successive relp's of a , then the maximum allowable : …2:2:3:21† tan…'=2† ˆ 0 …d 2 2x0 † rotation angle to avoid spatial overlap is given by    a The two solutions correspond to the two rotation angles at which
'max ˆ 
; …2:2:3:30† dmax the relp P cuts the sphere of re¯ection. Note that YF , ZF (Subsection 2.2.3.2) are independent of '. where
is the sample re¯ecting range (see Section 2.2.7). The values of x0 and y0 are calculated from the particular
' max is a function of ', even in the case of identical cell crystal system parameters. The relationships between the parameters. This is because it is necessary to consider, for a coordinates x0 , y0 , z0 and  and  are given orientation, the relevant reciprocal-lattice vector perpen . In the case where the cell dimensions are quite dicular to dmax 1=2 2 2 different in magnitude (excluding the axis parallel to the rotation …2:2:3:22†  ˆ …x0 ‡ y0 † ; axis), then
'max is a marked function of the orientation. …2:2:3:23†  ˆ z0 : In rotation photography, as large an angle as possible is used up to
'max . This reduces the number of images that need to be processed and the number of partially stimulated re¯ections per X0 can be related to the crystal parameters by image but at the expense of signal-to-noise ratio for individual spots, which accumulate more background since
<
'max . In …2:2:3:24† the case of a CCD detector system,
' is chosen usually to be X0 ˆ Ah: The coordinates YF and ZF are related to ®lm-scanner raster units via a scanner-rotation matrix and translation vector. This is necessary because the ®lm is placed arbitrarily on the scanner drum. Details can be found in Rossmann (1985) or Arndt & Wonacott (1977).

A is a crystal-orientation matrix de®ning the standard datum orientation of the crystal. For example, if, by convention, a is chosen as parallel to the X-ray beam at ' ˆ 0 and c is chosen as the rotation axis, then, for the general case, 2

a Aˆ4 0 0

b cos  b sin  0

3 c cos  c sin cos  5: c

…2:2:3:25†

If the crystal is mounted on the goniometer head differently from this then A can be modi®ed by another matrix, M, say, or the terms permuted. This exercise becomes clear if the reader takes an orthogonal case … ˆ ˆ ˆ 90 †. For the general case, see Higashi (1989). The crystal will most likely be misaligned (slightly or grossly) from the ideal orientation. To correct for this, the misorientation matrices Ux , Uy , and Uz are introduced, i.e.

Fig. 2.2.3.4. The rotation method. The blind region associated with a single rotation axis. From Arndt & Wonacott (1977).

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION 2.2.4.1. General

less than
so as to optimize the signal-to-noise ratio of the measurement and to sample the rocking-width pro®le. The value of
, the crystal rocking width for a given hkl, depends on the reciprocal-lattice coordinates of the hkl relp (see Section 2.2.7). In the region close to the rotation axis,
is large. In the introductory remarks to the monochromatic methods used, it has already been noted that originally the rotation method involved 360 rotations contributing to the diffraction image. Spot overlap led to loss of re¯ection data and encouraged Bernal and Weissenberg to devise improvements. With modern synchrotron techniques, the restriction on
'max (equation 2.2.3.30) can be relaxed for special applications. For example, since the spot overlap that is to be avoided involves relp's from adjacent reciprocal-lattice planes, the different Miller indices hkl and h ‡ l, k, l do lead in fact to a small difference in Bragg angle. With good enough collimation, a small spot size exists at the detector plane so that the two spots can be resolved. For a standard-sized detector, this is practical for low-resolution data recording. This can be a useful complement to the Laue method where the low-resolution data are rather sparsely stimulated and also tend to occur in multiple Laue spots. Alternatively, a much larger detector can be contemplated and even medium-resolution data can be recorded without major overlap problems. These techniques are useful in some time-resolved applications. For a discussion see Weisgerber & Helliwell (1993). For regular data collection, however, narrow angular ranges are still generally preferred so as to reduce the background noise in the diffraction images and also to avoid loss of any data because of spot overlap.

The conventional Weissenberg method uses a moving ®lm in conjunction with the rotation of the crystal and a layer-line screen. This allows: (a) A larger rotation range of the crystal to be used (say 200 ), avoiding the problem of overlap of re¯ections (referred to in Subsection 2.2.3.4 on oscillation photography). (b) Indexing of re¯ections on the photograph to be made by inspection. The Weissenberg method is not widely used now. In smallmolecule crystallography, quantitative data collection is usually performed by means of a diffractometer. Weissenberg geometry has been revived as a method for macromolecular data collection (Sakabe, 1983, 1991), exploiting monochromatized synchrotron radiation and the image plate as detector. Here the method is used without a layer-line screen where the total rotation angle is limited to  15 ; this is a signi®cant increase over the rotation method with a stationary ®lm. The use of this effectively avoids the presence of partial re¯ections and reduces the total number of exposures required. Provided the Weissenberg camera has a large radius, the X-ray background accumulated over a single spot is actually not serious. This is because the X-ray background decreases approximately according to the inverse square of the distance from the crystal to the detector. The following Subsections 2.2.4.2 and 2.2.4.3 describe the standard situation where a layer-line screen is used. 2.2.4.2. Recording of zero layer

2.2.3.5. Blind region

Normal-beam geometry (i.e. the X-ray beam perpendicular to the rotation axis) is used to record zero-layer photographs. The ®lm is held in a cylindrical cassette coaxial with the rotation axis. The centre of the gap in a screen is set to coincide with the zerolayer plane. The coordinate of a spot on the ®lm measured parallel (ZF ) and perpendicular (YF ) to the rotation axis is given by

In normal-beam geometry, any relp lying close to the rotation axis will not be stimulated at all. This situation is shown in Fig. 2.2.3.4. The blind region has a radius of  sin max ˆ min ˆ dmax

l2 ; 2 2dmin

…2:2:3:31†

and is therefore strongly dependent on dmin but can be ameliorated by use of a short l. Shorter l makes the Ewald sphere have a larger radius, i.e. its surface moves closer to the Ê resolution, approximately 5% of rotation axis. At Cu K for 2 A the data lie in the blind region according to this simple geometrical model. However, taking account of the rocking width
, a greater percentage of the data than this is not fully sampled except over very large angular ranges. The actual increase in the blind-region volume due to this effect is minimized by use of a collimated beam and a narrow spectral spread (i.e. ®nely monochromatized, synchrotron radiation) if the crystal is not too mosaic. These effects are directly related to the Lorentz factor, L ˆ 1=…sin2 2

2 †1=2 :

2 D 360 ZF ˆ '=f ;

YF ˆ

…2:2:4:2†

where ' is the rotation angle of the crystal from its initial setting, f is the coupling constant, which is the ratio of the crystal rotation angle divided by the ®lm cassette translation distance, in  min 1 , and D is the camera radius. Generally, the values of f and D are 2 min 1 and 28.65 mm, respectively. 2.2.4.3. Recording of upper layers Upper-layer photographs are usually recorded in equi-inclination geometry [i.e.  ˆ  in equations (2.2.3.7) and (2.2.3.8)]. The X-ray-beam direction is made coincident with the generator of the cone of the diffracted beam for the layer concerned, so that the incident and diffracted beams make equal angles () with the equatorial plane, where

…2:2:3:32†

It is inadvisable to measure a re¯ection intensity when L is large because different parts of a spot would need a different Lorentz factor. The blind region can be ®lled in by a rotation about another axis. The total angular range that is needed to sample the blind region is 2max in the absence of any symmetry or max in the case of mm symmetry (for example).

 ˆ sin

1

n =2:

…2:2:4:3†

The screen has to be moved by an amount s tan ;

…2:2:4:4†

where s is the screen radius. If the cassette is held in the same position as the zero-layer photograph, then re¯ections produced by the same orientation of the crystal will be displaced

2.2.4. Weissenberg geometry Weissenberg geometry (Weissenberg, 1924) is dealt with in the books by Buerger (1942) and Woolfson (1970), for example.

D tan  34

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…2:2:4:1†

…2:2:4:5†

2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES Table 2.2.5.1. The distance displacement (in mm) measured on the ®lm versus angular setting error of the crystal for a screenless  ˆ 5 ) setting photograph precession ( Angular correction, ", in degrees and minutes 0 150 300 450 600 1 150 1 300 1 450 2

2.2.5.2. Crystal setting Setting of the crystal for one zone is carried out in two stages. First, a Laue photograph is used for small molecules or a monochromatic still for macromolecules to identify the required zone axis and place it parallel to the X-ray beam. This is done by adjustment to the camera-spindle angle and the goniometer-head arc in the horizontal plane. This procedure is usually accurate to a degree or so. Note that the vertical arc will only rotate the pattern around the X-ray beam. Second, a screenless precession photograph is taken using an angle of  7±10 for small molecules or 2±3 for macromolecules. It is better to use un®ltered radiation, as then the edge of the zero-layer circle is easily visible. Let the difference of the distances from the centre of the pattern to the opposite edges of the trace in the direction of displacement be called  ˆ D
so that for the horizontal goniometer-head arc and the dial: arc ˆ xRt xLt and dial ˆ yUp yDn (Fig. 2.2.5.1). The corrections " to the arc and camera spindle are given by

Distance displacement (mm) for three crystal-to-®lm distances
r.l.u

60 mm

0 0.0175 0.035 0.0526 0.070 0.087 0.105 0.123 0.140

0 1.1 2.1 3.2 4.2 5.2 6.3 7.4 8.4

75 mm 0 1.3 2.6 4.0 5.3 6.5 7.9 9.2 10.5

100 mm 0 1.8 3.5 5.3 7.0 8.7 10.5 12.3 14.0

Alternatively,
ˆ =D ' sin 4" can be used if " is small [from equation (2.2.5.1)]. Notes (1) A value of  of 5 is assumed although there is a negligible variation in " with  between 3 (typical for proteins) and 7 (typical for small molecules). (2) Crystal-to-®lm distances on a precession camera are usually settable at the ®xed distance D ˆ 60, 75, and 100 mm. (3) This table should be used in conjunction with Fig. 2.2.5.1. (4) Values of " are given in intervals of 50 as this is convenient for various goniometer heads which usually have verniers in 50 , 60 or 100 units. The vernier on the spindle of the precession camera is often in 20 units.


ˆ

 sin 4" cos  ˆ in r:l:u:; D cos2 2" sin2 

where D is the crystal-to-®lm angle. It is possible to measure corresponds to 140 error for 2.2.5.1, based on IT II (1959,

…2:2:5:1†

distance and  is the precession  to about 0.3 mm ( ˆ 1 mm D ˆ 60 mm and  ' 7 [Table p. 200)].

2.2.5.3. Recording of zero-layer photograph Before the zero-layer photograph is taken, an Nb ®lter (for Mo K) or an Ni ®lter (for Cu K) is introduced into the X-ray beam path and a screen is placed between the crystal and the ®lm at a distance from the crystal of

relative to the zero-layer photograph. This effect can be eliminated by initial translation of the cassette by D tan .

 s ˆ rs cot ;

…2:2:5:2†

where rs is the screen radius. Typical values of  would be 20 for a small molecule with Mo K and 12±15 for a protein with Cu K. The annulus width in the screen is chosen usually as 2±3 mm for a small molecule and 1±2 mm for a macromolecule. A clutch slip allows the camera motor to be disengaged and the precession motion can be executed under hand control to check for fouling of the goniometer head, crystal, screen or ®lm cassette; s and rs need to be selected so as to avoid this happening. The zero-layer precession photograph produced has a radius of 2D sin  corresponding to a resolution limit  The distance between spots A is related to the dmin ˆ l=2 sin . reciprocal-cell parameter a by the formula

2.2.5. Precession geometry The main book dealing with the precession method is that of Buerger (1964). 2.2.5.1. General The precession method is used to record an undistorted representation of a single plane of relp's and their associated intensities. In order to achieve this, the crystal is carefully set so that the plane of relp's is perpendicular to the X-ray beam. The normal to this plane, the zone axis, is then precessed about the X-ray-beam axis. A layer-line screen allows only relp's of the plane of interest to pass through to the ®lm. The motion of the crystal, screen, and ®lm are coupled together to maintain the coplanarity of the ®lm, screen, and zone.

a ˆ

A : D

…2:2:5:3†

2.2.5.4. Recording of upper-layer photographs The recording of upper-layer photographs involves isolating the net of relp's at a distance from the zero layer of n ˆ nl=b, where b is the case of the b axis antiparallel to the X-ray beam. In order to determine n , it is generally necessary to record a cone-axis photograph. If the cell parameters are known, then the camera settings for the upper-level photograph can be calculated directly without the need for a cone-axis photograph. In the upper-layer precession photograph, the ®lm is advanced towards the crystal by a distance

Fig. 2.2.5.1. The screenless precession setting photograph (schematic) and associated mis-setting angles for a typical orientation error when the crystal has been set previously by a monochromatic still or Laue.

Dn and the screen is placed at a distance 35

36 s:\ITFC\ch-2-2.3d (Tables of Crystallography)

…2:2:5:4†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION sn ˆ rs cot n ˆ rs cot cos 1 …cos 

n †:

The purpose of the diffractometer goniostat is to bring a selected re¯ected beam into the detector aperture or a number of re¯ected beams onto an area detector of limited aperture (i.e. an aperture that does not intercept all the available diffraction spots at one setting of the area detector) [see Hamlin (1985, p. 431), for example]. Since the use of electronic area detectors is now increasingly common, the properties of these detectors that relate to the geometric prediction of spot position will be described later. The single-counter diffractometer is primarily used for smallmolecule crystallography. In macromolecular crystallography, many relp's are almost simultaneously in the diffraction condition. The single-counter diffractometer was extended to ®ve separate counters [for a review, see Artymiuk & Phillips (1985)], then subsequently to a multi-element linear detector [for a review, see Wlodawer (1985)]. Area detectors offer an even larger aperture for simultaneous acquisition of re¯ections [Hamlin et al. (1981), and references therein]. Large-area on-line image-plate systems are now available commercially to crystallographers, whereby the problem of the limited aperture of electronic area detectors is circumvented and the need for a goniostat is relaxed so that a single axis of rotation can be used. Systems like the R-AXISIIc (Rigaku Corporation) and the MAR (MAR Research Systems) fall into this category, utilizing IP technology and an on-line scanner. A next generation of device beckons, involving CCD area detectors. These offer a much faster duty cycle and greater sensitivity than IP's. By tiling CCD's together, a larger-area device can be realized. However, it is likely that these will be used in conjunction with a three-axis goniostat again, except in special cases where a complete area coverage can be realized.

…2:2:5:5†

The resulting upper-layer photograph has outer radius  D…sin n ‡ sin †

…2:2:5:6†

and an inner blind region of radius D…sin n

 sin †:

…2:2:5:7†

2.2.5.5. Recording of cone-axis photograph A cone-axis photograph is recorded by placing a ®lm enclosed in a light-tight envelope in the screen holder and using a small precession angle, e.g. 5 for a small molecule or 1 for a protein. The photograph has the appearance of concentric circles centred on the origin of reciprocal space, provided the crystal is perfectly aligned. The radius of each circle is rn ˆ s tan n ;

…2:2:5:8†

where cos n ˆ cos  Hence, n ˆ cos 

n :

…2:2:5:9†

cos tan 1 …rn =s†. 2.2.6. Diffractometry

The main book dealing with single-crystal diffractometry is that of Arndt & Willis (1966). Hamilton (1974) gives a detailed treatment of angle settings for four-circle diffractometers. For details of area-detector diffractometry, see Howard, Nielsen & Xuong (1985) and Hamlin (1985). 2.2.6.1. General

2.2.6.2. Normal-beam equatorial geometry

In this section, we describe the following related diffractometer con®gurations: (a) normal-beam equatorial geometry [!; ; ' option or !; ; ' (kappa) option]; (b) ®xed  ˆ 45 geometry with area detector. (a) is used with single-counter detectors. The kappa option is also used in the television area-detector system of Enraf±Nonius (the FAST). (b) is used with the multiwire proportional chamber, XENTRONICS, system. (FAST is a trade name of Enraf± Nonius; XENTRONICS is a trade name of Siemens.)

In normal-beam equatorial geometry (Fig. 2.2.6.1), the crystal is oriented speci®cally so as to bring the incident and re¯ected beams, for a given relp, into the equatorial plane. In this way, the detector is moved to intercept the re¯ected beam by a single rotation movement about a vertical axis (the 2 axis). The value of  is given by Bragg's law as sin 1 (d  =2). In order to bring d into the equatorial plane (i.e. the Bragg plane into the meridional plane), suitable angular settings of a three-axis goniostat are necessary. The convention for the sign of the angles given in Fig. 2.2.6.1 is that of Hamilton (1974); his choice of sign of 2 is adhered to despite the fact that it is left-handed, but in any case the signs of !; ; ' are standard right-handed. The

Fig. 2.2.6.2. Diffractometry with normal-beam equatorial geometry and angular motions !;  and '. The relp at P is moved to Q via ', from Q to R via , and R to S via !. From Arndt & Willis (1966). In this speci®c example, the ' axis is parallel to the ! axis (i.e.  ˆ 0 ).

Fig. 2.2.6.1 Normal-beam equatorial geometry: the angles !; ; ', 2 are drawn in the convention of Hamilton (1974).

36

37 s:\ITFC\ch-2-2.3d (Tables of Crystallography)

2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES speci®c reciprocal-lattice point can be rotated from point P to point Q by the ' rotation, from Q to R via , and R to S via ! (see Fig. 2.2.6.2). In the most commonly used setting, the  plane bisects the incident and diffracted beams at the measuring position. Hence, the vector d lies in the  plane at the measuring position. However, since it is possible for re¯ection to take place for any orientation of the re¯ecting plane rotated about d , it is feasible therefore that d can make any arbitrary angle " with the  plane. It is conventional to refer to the azimuthal angle of the re¯ecting plane as the angle of rotation about d . It is possible with a scan to keep the hkl re¯ection in the diffraction condition and so to measure the sample absorption surface by monitoring the variation in intensity of this re¯ection. This scan is achieved by adjustment of the !; ; ' angles. When  ˆ 90 , the scan is simply a ' scan and " is 0 . The  circle is a relatively bulky object whose thickness can inhibit the measurement of diffracted beams at high . Also, collision of the  circle with the collimator or X-ray-tube housing has to be avoided. An alternative is the kappa goniostat geometry. In the kappa diffractometer [for a schematic picture, see Wyckoff (1985, p. 334)], the  axis is inclined at 50 to the ! axis and can be rotated about the ! axis; the  axis is an alternative to  therefore. The ' axis is mounted on the  axis. In this way, an unobstructed view of the sample is achieved.

± collimation; ± monochromators; ± mirrors. An exhaustive survey is not given, since a wide range of con®gurations is feasible. Instead, the commonest arrangements are covered. In addition, conventional X-ray sources are separated from synchrotron X-ray sources. The important difference in the treatment of the two types of source is that on the synchrotron the position and angle of the photon emission from the relativistic charged particles are correlated. One result of this, for example, is that after monochromatization of the synchrotron radiation (SR) the wavelength and angular direction of a photon are correlated. The angular re¯ecting range and diffraction-spot size are determined by the physical state of the beam and the sample. Hence, the idealized situation considered earlier of a point sample and zero-divergence beam will be relaxed. Moreover, the effects of the detector-imaging characteristics are considered, i.e. obliquity, parallax, point-spread factor, and spatial distortions. 2.2.7.2. Conventional X-ray sources: spectral character, crystal rocking curve, and spot size An extended discussion of instrumentation relating to conventional X-ray sources is given in Arndt & Willis (1966) and Arndt & Wonacott (1977). Witz (1969) has reviewed the use of monochromators for conventional X-ray sources. It is generally the case that the K line has been used for single-crystal data collection via monochromatic methods. The continuum Bremsstrahlung radiation is used for Laue photography at the stage of setting crystals. The emission lines of interest consist of the K1 , K2 doublet and the K line. The intrinsic spectral width of the K1 , or K2 line is  10 4 , their separation (l=l) is 2:5  10 3 , and they are of different relative intensity. The K line is eliminated either by use of a suitable metal ®lter or by a monochromator. A mosaic monochromator such as graphite passes the K1 , K2 doublet in its entirety. The monochromator passes a certain, if small, component of a harmonic of the K1 , K2 line extracted from the Bremsstrahlung. This latter effect only becomes important in circumstances where the attenuated main beam is used for calibration; the process of attenuation enhances the shortwavelength harmonic component to a signi®cant degree. In diffraction experiments, this component is of negligible intensity. The polarization correction is different with and without a monochromator (see Chapter 6.2). The effect of the doublet components of the K emission is to cause a peak broadening at high angles. From Bragg's law, the following relationship holds for a given re¯ection:

2.2.6.3. Fixed  ˆ 45 geometry with area detector The geometry with ®xed  ˆ 45 was introduced by Nicolet and is now fairly common in the ®eld. It consists of an ! axis, a ' axis, and  ®xed at 45 . The rotation axis is the ! axis. In this con®guration, it is possible to sample a greater number of independent re¯ections per degree of rotation (Xuong, Nielsen, Hamlin & Anderson, 1985) because of the generally random nature of any symmetry axis. An alternative method is to mount the crystal in a precise orientation and to use the ' axis to explore the blind region of the single rotation axis. It is feasible to place the capillary containing the sample in a vertically upright position via a 135 bracket mounted on the goniometer head. The bulk of the data is collected with the ! axis coincident with the capillary axis. This setting is bene®cial to make the effect of capillary absorption symmetrical. At the end of this run, the blind region whose axis is coincident with the ! axis can be ®lled in by rotating around the ' axis by 180 . This renders the capillary axis horizontal and a different crystal axis vertical. Hence by rotation about this new crystal axis by max , the blind region can be sampled. 2.2.7. Practical realization of diffraction geometry: sources, optics, and detectors

 ˆ

2.2.7.1. General The tools required for making the necessary measurement of re¯ection intensities include (a) beam-conditioning items; (b) crystal goniostat; (c) detectors. In this section, we describe the common con®gurations for de®ning precise states of the X-ray beam. The topic of detectors is dealt with in Part 7 (see especially Section 7.1.6). The impact of detector distortions on diffraction geometry is dealt with in Subsection 2.2.7.4. Within the topic of beam conditioning the following subtopics are dealt with:

…2:2:7:1†

For proteins where  is relatively small, the effect of the K1 , K2 separation is not signi®cant. For small molecules, which diffract to higher resolution, this is a signi®cant effect and has to be accounted for at high angles. The width of the rocking curve of a crystal re¯ection is given by (Arndt & Willis, 1966)    a‡f l …2:2:7:2† ‡  ‡ tan 
ˆ s l when the crystal is fully bathed by the X-ray beam, where a is the crystal size, f the X-ray tube focus size (foreshortened), s the 37

38 s:\ITFC\ch-2-2.3d (Tables of Crystallography)

l tan : l

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION distance between the X-ray tube focus and the crystal, and  the crystal mosaic spread (Fig. 2.2.7.1). In the moving-crystal method,
is the minimum angle through which the crystal must be rotated, for a given re¯ection, so that every mosaic block can diffract radiation covering a ®xed wavelength band l from every point on the focal spot. This angle
can be controlled to some extent, for the protein case, by collimation. For example, with a collimator entrance slit placed as close to the X-ray tube source and a collimator exit slit placed as close to the sample as possible, the value of …a ‡ f †=s can approximately be replaced by …a0 ‡ f 0 †=s0 , where f 0 is the entrance-slit size, a0 is the exit-slit size, and s0 the distance between them. Clearly, for a0 < a, the whole crystal is no longer bathed by the X-ray beam. In fact, by simply inserting horizontal and vertical adjustable screws at the front and back of the collimator, adjustment to the horizontal and vertical divergence angles can be made. The spot size at the detector can be calculated approximately by multiplying the particular re¯ection rocking angle
by the distance from the sample to the spot on the detector. In the case of a single-counter diffractometer, tails on a diffraction spot can be eliminated by use of a detector collimator.

Spot-to-spot spatial resolution can be enhanced by use of focusing mirrors, which is especially important for large-protein and virus crystallography, where long cell axes occur. The effect is achieved by focusing the beam on the detector, thereby changing a divergence from the source into a convergence to the detector. In the absence of absorption, at grazing angles, X-rays up to a certain critical energy are re¯ected. The critical angle c is given by  2 1=2 e N c ˆ l; …2:2:7:3† mc2  where N is the number of free electrons per unit volume of the re¯ecting material. The higher the atomic number of a given material then the larger is c for a given critical wavelength. The product of mirror aperture with re¯ectivity gives a ®gure of merit for the mirror as an ef®cient optical element. The use of a pair of perpendicular curved mirrors set in the horizontal and vertical planes can focus the X-ray tube source to a small spot at the detector. The angle of the mirror to the incident beam is set to reject the K line (and shorter-wavelength Bremsstrahlung). Hence, spectral purity at the sample and diffraction spot size at the detector are improved simultaneously. There is some loss of intensity (and lengthening of exposure time) but the overall signal-to-noise ratio is improved. The primary reason for doing this, however, is to enhance spot-tospot spatial resolution even with the penalty of the exposure time being lengthened. The rocking width of the sample is not affected in the case of 1:1 focusing (object distance ˆ image distance). Typical values are tube focal-spot size, f ˆ 0:1 mm, tube-to-mirror and mirror-to-sample distances  200 mm, convergence angle 2 mrad, and focal-spot size at the detector  0:3 mm. To summarize, the con®gurations are (a) beam collimator only; (b) ®lter ‡ beam collimator; (c) ®lter ‡ beam collimator ‡ detector collimator (singlecounter case); (d) graphite monochromator ‡ beam collimator; (e) pair of focusing mirrors ‡ exit-slit assembly; ( f ) focusing germanium monochromator ‡ perpendicular focusing mirror ‡ exit-slit assembly. (a) is for Laue mode; (b)±( f ) are for monochromatic mode; ( f ) is a fairly recent development for conventional-source work. 2.2.7.3. Synchrotron X-ray sources In the utilization of synchrotron X-radiation (SR), both Laue and monochromatic modes are important for data collection. The unique geometric and spectral properties of SR renders the treatment of diffraction geometry different from that for a conventional X-ray source. The properties of SR are dealt with in Subsection 4.2.1.5 and elsewhere; see Subject Index. Reviews of instrumentation, methods, and applications of synchrotron radiation in protein crystallography are given by Helliwell (1984, 1992). (a) Laue geometry: sources, optics, sample re¯ection bandwidth, and spot size Laue geometry involves the use of the fully polychromatic SR spectrum as transmitted through the beryllium window that is used to separate the apparatus from the machine vacuum. There is useful intensity down to a wavelength minimum of  lc =5, where lc is the critical wavelength of the magnet source. The Ê however, if the crystal maximum wavelength is typically  3 A;

Fig. 2.2.7.1. Re¯ection rocking width for a conventional X-ray source. From Arndt & Wonacott (1977, p. 7). (a) Effect of sample mosaic spread. The relp is replaced by a spherical cap with a centre at the origin of reciprocal space where it subtends an angle . (b) Effect of …l=l†conv , the conventional source type spectral spread. (c) Effect of a beam divergence angle, . The overall re¯ection rocking width is a combination of these effects.

38

39 s:\ITFC\ch-2-2.3d (Tables of Crystallography)

2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES is mounted in a capillary then the glass absorbs the wavelengths Ê beyond  2:6 A. The bandwidth can be limited somewhat under special circumstances. A re¯ecting mirror at grazing incidence can be used for two reasons. First, the minimum wavelength in the beam can be sharply de®ned to aid the accurate de®nition of the Laue-spot multiplicity. Second, the mirror can be used to focus the beam at the sample. The maximum-wavelength limit can be truncated by use of aluminium absorbers of varying thickness or by use of a transmission mirror (Lairson & Bilderback, 1992; Cassetta et al., 1993). The measured intensity of individual Laue diffraction spots depends on the wavelength at which they are stimulated. The problem of wavelength normalization is treated by a variety of methods. These include: (a) use of a monochromatic reference data set; (b) use of symmetry equivalents in the Laue data set recorded at different wavelengths; (c) calibration with a standard sample such as a silicon crystal. Each of these methods produces a `l-curve' describing the relative strength of spots measured at various wavelengths. The methods rely on the incident spectrum being smooth and stable with time. There are discontinuities in the `l-curve' at the bromine and silver K-absorption edges owing to the silver bromide in the photographic emulsion case. The l-curve is therefore usually split up into wavelength regions, i.e. lmin to Ê , 0.49 to 0.92 A Ê , and 0.92 A Ê to lmax . Other detector types 0.49 A have different discontinuities, depending on the material making up the X-ray absorbing medium. [The quanti®cation of conventional-source Laue-diffraction data (Rabinovich & Lourie, 1987; Brooks & Moffat, 1991) requires the elimination of spots recorded near the emission-line wavelengths.] The production and use of narrow-bandpass beams may be of interest, e.g. l=l  0:2. Such bandwidths can be produced by a combination of a re¯ection mirror used in tandem with a transmission mirror. Alternatively, an X-ray undulator of 10±100 periods ideally should yield a bandwidth behind a pinhole of l=l ' 0:1±0:01. In these cases, wavelength normalization is more dif®cult because the actual spectrum over which a re¯ection is integrated is rapidly varying in intensity. The spot bandwidth is determined by the mosaic spread and horizontal beam divergence (since H > V ) as   l …2:2:7:4† ˆ … ‡ H † cot ; l

LR ˆ D sin…2 ‡ R † sec2 2 LT ˆ D…2 ‡ T † sin  sec 2;

…2:2:7:7† …2:2:7:8†

and

R ˆ V cos

‡ H sin

T ˆ V sin

‡ H cos ;

…2:2:7:9† …2:2:7:10†

where is the angle between the vertical direction and the radius vector to the spot (see Andrews, Hails, Harding & Cruickshank, 1987). For a crystal that is not too mosaic, the spot size is dominated by Lc . For a mosaic or radiation-damaged crystal, the main effect is a radial streaking arising from , the sample mosaic spread. (b) Monochromatic SR beams: optical con®gurations and sample rocking width A wide variety of perfect-crystal monochromator con®gurations are possible and have been reviewed by various authors (Hart, 1971; Bonse, Materlik & SchroÈder, 1976; Hastings, 1977; Kohra, Ando, Matsushita & Hashizume, 1978). Since the re¯ectivity of perfect silicon and germanium is effectively 100%, multiple-re¯ection monochromators are feasible and permit the tailoring of the shape of the monochromator resolution function, harmonic rejection, and manipulation of the polarization state of the beam. Two basic designs are in common use. These are (a) the bent single-crystal monochromator of triangular shape (Lemonnier, Fourme, Rousseaux & Kahn, 1978) and (b) the double-crystal monochromator.

where  ˆ sample mosaic spread, assumed to be isotropic, H ˆ horizontal cross-®re angle, which in the absence of focusing is …xH ‡ H †=P, where xH is the horizontal sample size and H the horizontal source size, and P is the sample to the tangent-point distance; and similarly for V in the vertical direction. Generally, at SR sources, H is greater than V . When a focusing-mirror element is used, H and/or V are convergence angles determined by the focusing distances and the mirror aperture. The size and shape of the diffraction spots vary across the ®lm. The radial spot length is given by convolution of Gaussians as …L2R ‡ L2c sec2 2†1=2

…2:2:7:5†

…L2T ‡ L2c †1=2 ;

…2:2:7:6†

and tangentially by Fig. 2.2.7.2. Single-crystal monochromator illuminated by synchrotron radiation: (a) ¯at crystal, (b) Guinier setting, (c) overbent crystal, (d) effect of source size (shown at the Guinier setting for clarity). From Helliwell (1984).

where Lc is the size of the X-ray beam (assumed circular) at the sample, and 39

40 s:\ITFC\ch-2-2.3d (Tables of Crystallography)

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION Two types of spectral spread occur with synchrotron and neutron sources. The term …l=l†conv is the spread that is passed down each incident ray in a divergent or convergent incident beam; the subscript refers to conventional source type. This is because it is similar to the K1 , K2 line widths and separation. At the synchrotron, this component also exists and arises from the monochromator rocking width and ®nite-source-size effects. The term …l=l†corr is special to the synchrotron or neutron case. The subscript `corr' refers to the fact that the ray direction can be correlated with the photon or neutron wavelength. Usually, an instrument is set to have …l=l†corr ˆ 0. In the most general case, for a …l=l†corr arising from the horizontal ray direction correlation with photon energy, and the case of a horizontal rotation axis, then the rocking width 'R of an individual re¯ection is given by (   )1=2 2 l 'R ˆ L2 d 2 ‡  H ‡ V2 ‡ 2"s L; …2:2:7:11† l corr

In the case of the single-crystal monochromator, the actual curvature employed is very important in the diffraction geometry. For a point source and a ¯at monochromator crystal, there is a gradual change in the photon wavelength selected from the white beam as the length of the monochromator is traversed [Fig. 2.2.7.2(a)]. For a point source and a curved monochromator crystal, one speci®c curvature can compensate for this variation in incidence angle [Fig. 2.2.7.2(b)]. The re¯ected spectral bandwidth is then at a minimum; this setting is known as the `Guinier position'. If the curvature of the monochromator crystal is increased further, a range of photon wavelengths, …l=l†corr , is selected along its length so that the rays converging towards the focus have a correlation of photon wavelength and direction [Fig. 2.2.7.2(c)]. The effect of a ®nite source is to cause a change in incidence angle at the monochromator crystal, so that at the focus there is a photon-wavelength gradient across the width of the focus (for all curvatures) [Fig. 2.2.7.2(d)]. The use of a slit in the focal plane is akin to placing a slit at the tangent point to limit the source size. The double-crystal monochromator with two parallel or nearly parallel perfect crystals of germanium or silicon is a common con®guration. The advantage of this is that the outgoing monochromatic beam is parallel to the incoming beam, although it is slightly displaced vertically by an amount 2d cos , where d is the perpendicular distance between the crystals and  the monochromator Bragg angle. The monochromator can be rapidly tuned, since the diffractometer or camera need not be re-aligned signi®cantly in a scan across an absorption edge. Between absorption edges, some vertical adjustment of the diffractometer is required. Since the rocking width of the fundamental is broader than the harmonic re¯ections, the strict parallelism of the pair of crystal planes can be relaxed, i.e. detuned so that the harmonic can be rejected with little loss of the fundamental intensity. The spectral spread in the re¯ected monochromatic beam is determined by the source divergence accepted by the monochromator, the angular size of the source, and the monochromator rocking width (see Fig. 2.2.7.3). The double-crystal monochromator is often used with a toroid focusing mirror; the functions of monochromatization are then separated from the focusing (Hastings, Kincaid & Eisenberger, 1978). The rocking width of a re¯ection depends on the horizontal and vertical beam divergences/convergences (after due account for collimation is taken) H and V , the spectral spreads …l=l†conv and …l=l†corr , and the mosaic spread . We assume that   !, where ! is the angular broadening of a relp due to a ®nite sample. In the case of synchrotron radiation, H and V are usually widely asymmetric. On a conventional source, usually

H ' V .

where

…2:2:7:12†

and L is the Lorentz factor 1=…sin2 2 2 †1=2 . The Guinier setting of the instrument gives …l=l†corr ˆ 0. The equation for 'R then reduces to 'R ˆ L‰…2 H2 ‡ V2 =L2 †1=2 ‡ 2"s Š

…2:2:7:13†

(from Greenhough & Helliwell, 1982). For example, for  ˆ 0,

V ˆ 0:2 mrad (0.01 ),  ˆ 15 , …l=l†conv ˆ 1  10 3 and  ˆ 0:8 mrad (0.05 ), then 'R ˆ 0:08 . But 'R increases as  increases [see Greenhough & Helliwell (1982, Table 5)]. In the rotation=oscillation method as applied to protein and virus crystals, a small angular range is used per exposure

Fig. 2.2.7.4. The rocking width of an individual re¯ection for the case of Fig. 2.2.7.2(c) and a vertical rotation axis. 'R is determined by the passage of a spherical volume of radius "s (determined by sample mosaicity and a conventional-source-type spectral spread) through a nest of Ewald spheres of radii set by  ˆ 12 ‰l=lŠcorr and the horizontal convergence angle H . From Greenhough & Helliwell (1982).

Fig. 2.2.7.3. Double-crystal monochromator illuminated by synchrotron radiation. The contributions of the source divergence V and angular source size
source to the range of energies re¯ected by the monochromator are shown.

40

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    d  cos  l tan  ‡ "s ˆ 2 l conv

2.2. SINGLE-CRYSTAL X-RAY TECHNIQUES (Subsection 2.2.3.4). For example,
'max may be 1.5 for a protein, and 0.4 or so for a virus. Many re¯ections will be only partially stimulated over the exposure. It is important, especially in the virus case, to predict the degree of penetration of the relp through the Ewald sphere. This is done by analysing the interaction of a spherical volume for a given relp with the Ewald sphere. The radius of this volume is given by E'

'R 2L

In general, we can take account of obliquity and parallax effects whereby the measured spot width, in the radial direction, is w 00 , where w 00 ˆ w sec 2 ‡ geff tan 2:

As well as changing the spot size, the spot position, i.e. its centre, is also changed by both obliquity and parallax effects by 1 00 w†. The spherical drift-chamber design eliminated the 2 …w effects of parallax (Charpak, Demierre, Kahn, Santiard & Sauli, 1977). In the case of a phosphor-based television system, the X-rays are converted into visible light in a thin phosphor layer so that parallax is negligible.

…2:2:7:14†

(Greenhough & Helliwell, 1982). For discussions, see Harrison, Winkler, Schutt & Durbin (1985) and Rossmann (1985). In Fig. 2.2.7.4, the relevant parameters are shown. The diagram shows …l=l†corr ˆ 2 in a plane, usually horizontal, with a perpendicular (vertical) rotation axis, whereas the formula for 'R above is for a horizontal axis. This is purely for didactic reasons since the interrelationship of the components is then much clearer. For full details, see Greenhough & Helliwell (1982).

(c) Point-spread factor Even at normal incidence, there will be some spreading of the beam size. This is referred to as the point-spread factor, i.e. a single pencil ray of light results in a ®nite-sized spot. In the TVdetector and image-plate cases, the graininess of the phosphor and the system imaging the visible light contribute to the pointspread factor. In the case of a charge-coupled device (CCD) used in direct-detection mode, i.e. X-rays impinging directly on the silicon chip, the point-spread factor is negligible for a spot of typical size. For example, in Laue mode with a CCD used in this way, a 200 mm diameter spot normally incident on the device is not measurably broadened. The pixel size is  25 mm. The size of such a device is small and it is used in this mode for looking at portions of a pattern.

2.2.7.4. Geometric effects and distortions associated with area detectors Electronic area detectors are real-time image-digitizing devices under computer control. The mechanism by which an X-ray photon is captured is different in the various devices available (i.e. gas chambers, television detectors, chargecoupled devices) and is different speci®cally from ®lm or image plates. Arndt (1986 and Section 7.1.6) has reviewed the various devices available, their properties and performances. Section 7.1.8 deals with storage phosphors/image plates.

(d) Spatial distortions The spot position is affected by spatial distortions. These nonlinear distortions of the predicted diffraction spot positions have to be calibrated for independently; in the worst situations, misindexing would occur if no account were taken of these effects. Calibration involves placing a geometric plate, containing a perfect array of holes, over the detector. The plate is illuminated, for example, with radiation from a radioactive source or scattered from an amorphous material at the sample position. The measured positions of each of the resulting `spots' in detector space (units of pixels) can be related directly to the expected position (in mm). A 2D, non-linear, pixel-to-mm and mm-to-pixel correction curve or look-up table is thus established. These are the special geometric effects associated with the use of electronic area detectors compared with photographic ®lm or the image plate. We have not discussed non-uniformity of response of detectors since this does not affect the geometry. Calibration for non-uniformity of response is discussed in Section 7.1.6.

(a) Obliquity In terms of the geometric reproduction of a diffraction-spot position, size, and shape, photographic ®lm gives a virtually true image of the actual diffraction spot. This is because the emulsion is very thin and, even in the case of double-emulsion ®lm, the thickness, g, is only  0:2 mm. Hence, even for a diffracted ray inclined at 2 ˆ 45 to the normal to the ®lm plane, the `parallax effect', g tan 2, is very small (see below for details of when this is serious). With ®lm, the spot size is increased owing to oblique or non-normal incidence. The obliquity effect causes a beam, of width w, to be recorded as a spot of width w 0 ˆ w sec 2:

…2:2:7:15†

For example, if w ˆ 0:5 mm and 2 ˆ 45 , then w 0 is 0.7 mm. With an electronic area detector, obliquity effects are also present. In addition, the effects of parallax, point-spread factor, and spatial distortions have to be considered. (b) Parallax In the case of a one-atmosphere xenon-gas chamber of thickness g ˆ 10 mm, the g tan 2 parallax effect is dramatic [see Hamlin (1985, p. 435)]. The wavelength of the beam has to Ê is used with such a chamber, the be considered. If a l of  1 A photons have a signi®cant probability of fully traversing such a gap and parallax will be at its worst; the spot is elongated and the spot centre will be different from that predicted from the Ê is used geometric centre of the diffracted beam. If a l of 1.54 A then the penetration depth is reduced and an effective g, i.e. geff , of  3 mm would be appropriate. The use of higher pressure in a chamber increases the photon-capture probability, thus reducing Ê parallax is geff pro rata; at four atmospheres and l ˆ 1:54 A, very small.

Acknowledgements I am very grateful to various colleagues at the Universities of York and Manchester for their comments on the text of the ®rst edition. However, special thanks go to Dr T. Higashi who commented extensively on the manuscript and found several errors. Any remaining errors are, of course, my own responsibility. Dr. F. C. Korber is thanked for his comments on the diffractometry section. Dr W. Parrish and Mrs E. J. Dodson are also thanked for discussions. Mrs Y. C. Cook is thanked for typing several versions of the manuscript and Mr A. B. Gebbie is thanked for drawing the diagrams. I am grateful to Miss Julie Holt for secretarial help in the production of the second edition. 41

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…2:2:7:16†

International Tables for Crystallography (2006). Vol. C, Chapter 2.3, pp. 42–79.

2.3. Powder and related techniques: X-ray techniques By W. Parrish and J. I. Langford

The X-ray diffraction powder method was developed independently by Debye & Scherrer (1916) and by Hull (1917, 1919) and hence is often named the Debye±Scherrer±Hull method. Their classic papers provide the basis for the powder diffraction method. Debye and Scherrer made a 57 mm diameter cylindrical camera, used two ®lms with each forming a half circle in contact with the camera wall, a light-tight cover, a primary-beam collimator, and a long black paper exit tube attached to the outside of the camera to avoid back scattering. (There were no radiation protection surveys in those days!) The powder specimen was 2 mm in diameter, 10 mm long and the exposure two hours. They worked out a method for determining the crystal structure from the powder diagrams, solved the structure of LiF using X-rays from Cu and Pt targets and found that a powder labelled `amorphous silicon' was crystalline with the diamond structure. Hull described many of the experimental factors. He apparently was the ®rst to use a K ®lter and an intensifying screen; he enclosed the X-ray tube in a lead box, used both ¯at and cylindrical ®lms, and measured the effect of X-ray tube voltage on the intensity of Mo K radiation. He described the importance of using small particle sizes, specimen rotation, and the necessity for random orientation. He also worked out the methods for determining the crystal structure from the powder pattern and solved the structures of eight elements and diamond and graphite. Debye & Scherrer did not explicitly mention the use of the method for identi®cation in their 1916 paper but Hull recognized its importance as shown by the title of his 1919 paper, A new method of chemical analysis, in which he wrote

diffraction ®le and made it possible to develop systematic methods of analysis. A major advance in the powder method began in the early 1950's with the introduction of commercial high-resolution diffractometers which greatly expanded the use of the method (Parrish, 1949; Parrish, Hamacher & Lowitzsch, 1954). The replacement of ®lm by the Geiger counter, and soon after by scintillation and proportional counters, made it possible to observe X-ray diffraction in real time and to make precision measurements of the intensities and pro®le shapes. The large space around the specimen permitted the design of various devices to vary the specimen temperature and apply stress as well as other experiments not possible in a powder camera. The much higher resolution, angular accuracy, and pro®le determination led to many advances in the interpretation and applications of the method. Powder diffraction began to be used in a large number of technical disciplines and thousands of papers have been published on material structure characterization in inorganic chemistry, mineralogy, metals and alloys, ceramics, polymers, and organic materials. The following is a partial list of the types of studies that are best performed by the powder method and are widely used: ±identi®cation of crystalline phases ±qualitative and quantitative analysis of mixtures and minor constituents ±distinction between crystalline and amorphous states and devitri®cation ±following solid-state reactions ±identi®cation of solid solutions ±isomorphism, polymorphism, and phase-diagram determination ±lattice-parameter measurement and thermal expansion ±preferred orientation ±microstructure (crystallite size, strain, stacking faults, etc.) from pro®le broadening ±in situ high-/low-temperature and high-pressure studies. The introduction of computers for automation and data reduction and the use of synchrotron radiation are greatly expanding the information that can be obtained from the method. The determination and re®nement of crystal structures from powder data are widely used for materials not available as single crystals. The most comprehensive book on the powder method is that of Klug & Alexander (1974), which contains an extensive bibliography. Peiser, Rooksby & Wilson (1955) edited a book written by specialists on various powder methods (mainly cameras), interpretations, and results in various ®elds. AzaÂroff & Buerger (1958) wrote a comprehensive description of the powder-camera method. Barrett & Massalski (1980), Taylor (1961), and Cullity (1978) wrote comprehensive texts on metallurgical applications. Warren (1969), Guinier (1956, 1963), and Schwartz & Cohen (1987) described the theory and application of powder methods to physical problems such as the use of Fourier methods to study deformed metals and alloys to separate crystallite size and microstrain pro®le broadening, stacking faults, order±disorder, amorphous structures, and temperature effects. A general description of the powder method is given by Lipson & Steeple (1970). A book on the powder method written by a number of authors (Bish & Post, 1989) contains detailed papers and long lists of references and describes recent developments including principles of powder

`. . . every crystalline substance gives a pattern; that the same substance always gives the same pattern; and that in a mixture of substances each produces its pattern independently of the others, so that the photograph obtained with a mixture is the superimposed sum of the photographs that would be obtained by exposing each of the components separately for the same length of time. This law applies quantitatively to the intensities of the lines, as well as to their positions, so that the method is capable of development as a quantitative analysis.' In the late 1930's, compilations of X-ray powder data for minerals were published but the most important advance in the practical use of the powder method was made by Hanawalt & Rinn (1936) and Hanawalt, Rinn & Frevel (1938). Their detailed paper, entitled Chemical analysis by X-ray diffraction, contained tabulated d's and relative intensities of 1000 chemical substances. The editor wrote in the prologue `Industrial and Engineering Chemistry considers itself fortunate in being able to present herewith a complete, new, workable system of analysis, for it is not often that this is possible in a single issue of any journal.' They devised a scheme for pattern classi®cation based on the d's of the three most intense lines in which the patterns were arranged in 77 groups, each of which contained 77 subgroups. The strongest line determined the group, the second strongest the subgroup, and the third the position within the subgroup. They used Mo K radiation, 8 in radius quadrant cassettes and a direct comparison ®lm intensity scale. These data formed the basis of the early ASTM (later JCPDS and now ICDD) powder 42 Copyright © 2006 International Union of Crystallography 43 s:\ITFC\ch-2-3.3d (Tables of Crystallography)

2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES diffraction (Reynolds, 1989), instrumentation, specimen preparation, pro®le ®tting, synchrotron and neutron methods. A recent book by Jenkins & Snyder (1996) gives a useful comprehensive account of basic methods and practices in powder diffractometry. Papers presented at international symposia on powder diffraction describe advances in the ®eld (Block & Hubbard, 1980; Australian Journal of Physics, 1988; Bojarski & Bol-d, 1979; Bish & Post, 1989; Prince & Stalick, 1992). Papers on the theory and new methods and applications are published in the Journal of Applied Crystallography. Powder Diffraction started in 1986 and contains powder data and papers on instrumentation and methods. Papers presented at the Annual Denver Conference on Applications of X-ray Analysis have been published yearly since 1957 as separate volumes entitled Advances in X-Ray Analysis, by Plenum Press. Volume 37 of the series was published in 1994. These volumes contain papers that are roughly equally divided between X-ray powder diffraction and ¯uorescence analysis. This extensive source describes many types of instrumentation, methods and applications. The Norelco Reporter has been published several times a year since 1954 and contains original articles and reprints of papers on powder diffraction, ¯uorescence analysis, and electron microscopy. There are other `house journals' published by Rigaku, Siemens, and other X-ray companies. A history of the powder method in the USA was written by Parrish (1983). The following description includes only the most frequently used methods. The divergent beam from X-ray tubes is best used with focusing geometries, and synchrotron radiation with parallel-beam optics.

the specimen set for re¯ection, S(T) for a transmission specimen, and M refers to a focusing re¯ection monochromator. The letters are arranged in order of the beam direction. The detector rotates around the diffractometer axis at twice the speed of the specimen in the ±2 scanning used in (a) to (e). In the Seemann±Bohlin geometry (S-B), the specimen is stationary and the detector rotates around the focusing circle in scanning the pattern ( f ). The line focus of the X-ray tube is used in all cases. The monochromator is either symmetrical, with the lattice planes parallel to the crystal surface, or asymmetric with the lattice planes inclined at a small angle to the surface to shorten one of the focal-length distances. Placing the monochromator in the diffracted beam has the important advantage of eliminating specimen ¯uorescence. It also simpli®es shielding the detector if the specimen is radioactive. The monochromator in the incident beam reduces ¯uorescence and radiation damage to the specimen by removing the continuous X-ray spectrum. When the diffracted beam is de®ned by the receiving slit as in (b) and (c), highly oriented pyrolytic graphite (placed in front of the detector) is generally used to obtain high intensity. In the (d) and (c) geometries, a high-quality bent crystal such as silicon or quartz is necessary to achieve good focusing. (a) S(R): The aperture of the incident divergent beam from the line focus of the X-ray tube F is limited by the entrance slit ES and the re¯ection from the specimen converges (`focuses') on the receiving slit RS. The intensity is determined by the ES and RS and the pro®le width is determined mainly by the RS width. The parallel slits PS in the incident and diffracted beams limit the axial divergence. (b) S(R)=M: Same as (a) with the addition of the symmetrical monochromator (usually graphite) to record only the characteristic radiation. ES and RS have the same roÃle as in (a), and only the incident PS are required. (c) M=S(R): Using an incident-beam monochromator, the slit at F 0 determines the effective source size and divergence of the beam striking the specimen, and RS limits the pro®le width. (d) S(T)=M: The divergent incident beam continues to diverge after diffraction from the transmission specimen and the asymmetric monochromator focuses the beam on the detector.

2.3.1. Focusing diffractometer geometries The critical elements in the basic geometries of the principal focusing diffractometers used with X-ray tubes are illustrated schematically in Fig. 2.3.1.1. The six arrangements are described below in paragraphs (a) to ( f ) corresponding to the subdivisions of Fig. 2.3.1.1. The most frequently used methods are illustrated in (a) and (b). The abbreviations used are S(R) for

Fig. 2.3.1.1. Basic arrangements of focusing diffractometer methods. Simpli®ed and not to scale; detailed drawings shown in later ®gures. (a)±(e) operate with ±2 scanning; ( f ) ®xed specimen with detector scanning. F line focus of X-ray tube (normal to plane of drawings), F 0 focus of incident-beam monochromator, PS parallel slits (to limit axial divergence), ES entrance (divergence) slit, ESM entrance slit for monochromator, S specimen, RS receiving slit, AS antiscatter slit, D detector, SFC specimen focusing circle, M focusing monochromator. Other symbols described in text.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION X-ray-transparent substrates. Jenkins (1989) has reviewed the instrumentation and experimental procedures.

M and D rotate around S in ±2 scanning and the pro®le width is determined by the monochromator. Only the forward-re¯ection region can be recorded. (e) M=S(T): This is the diffractometer equivalent of the Guinier camera. A symmetric or asymmetric monochromator is used in the incident beam and the pro®le width is determined by the RS. The incident-beam divergence is limited by ESM. ( f ) S(R),(S±B): The re¯ections are focused on a ®xed-radius circle which measures 4. A linkage moves the detector around the focusing circle and always points it to the ®xed specimen. The angular range is limited (normally 30±240 4) and can be changed by moving the specimen and diffractometer to different positions. The pro®le width is determined by ES and RS. The same geometry is used with an incident- or diffracted-beam focusing monochromator. The interaction of the X-ray beam with the specimen varies in different geometries and this may have important consequences on the results, as will be described later. When a re¯ection specimen is used in ±2 or ± scanning, only those crystallites whose lattice planes are oriented nearly parallel to the specimen surface can re¯ect (Fig. 2.3.1.2) (Parrish, 1974). A transmission specimen in ±2 scanning permits re¯ections only from planes nearly normal to the surface. In the S±B case, re¯ections can occur from planes inclined over a range of about 45 to the surface. Transmission specimens must, of course, be mounted on

2.3.1.1. Conventional re¯ection specimen, ±2 scan The re¯ection specimen with ±2 scanning in the focusing arrangement shown in Fig. 2.3.1.3 is the most widely used powder diffraction method. It is estimated that about 10 000 to 15 000 of these diffractometers have been sold since they were introduced in 1948, which makes it the most widely used X-ray crystallographic instrument. Some authors have called it the Bragg±Brentano parafocusing method (Bragg, 1921; Brentano, 1946), but the X-ray optics (described below) are signi®cantly different from the methods and instruments described by these authors. The X-ray tube spot focus was ®rst used as the source and gave broad re¯ections. A narrow entrance slit improved the resolution but caused a large loss of intensity. Early diffractometers were described by LeGalley (1935), Lindemann & Trost (1940), and Bleeksma, Kloos & DiGiovanni (1948); see Parrish (1983). The use of the line focus with parallel slits to limit axial divergence was developed in the late 1940's and gave much higher resolution. A collection of papers by Parrish and co-workers (Parrish, 1965) and Klug & Alexander (1974) describe details of the instrumentation and method. 2.3.1.1.1. Geometrical instrument parameters The powder diffractometer is basically a single-axis goniometer with a large-diameter precision gear and worm drive. The detector and receiving-slit assembly are mounted on an arm attached to the gear in a radial position. The specimen is mounted in a holder carried by a shaft precisely positioned at the centre of the gear. 2=1 reduction gears drive the specimen post at one-half the speed of the detector. Some diffractometers have two large gears, making it possible to drive only the detector with the specimen ®xed or vice versa, or to use 2=1 scanning. Synchronous motors have been used for continuous scanning for ratemeter recording and stepping motors for step-scanning with computer control. The geometry of the method requires that the axis of rotation of the diffractometer be parallel to the X-ray tube focal line to obtain maximum intensity and resolution. The target is normal to the long axis of the tube; vertically mounted tubes require a diffractometer that scans in the vertical plane while a horizontal tube requires a horizontal diffractometer. The X-ray optics are the same for both. The incident angle  and the re¯ection angle 2 are de®ned with respect to the central ray that passes through the diffractometer axis of rotation O. The axis of rotation of the specimen is the central axis of the main gear of the diffractometer, as shown in Fig. 2.3.1.3. The centre of the specimen is equidistant from the source F and receiving slit RS. The instrument radius RDC ˆ F O ˆ O RS. The radius of commercial instruments is in the range 150 to 250 mm, with 185 mm most common. Changing the radius affects the instrument parameters and a number of the aberrations. Larger radii have been used to obtain higher resolution and better pro®le shapes. For example, the asymmetric broadening caused by axial divergence is decreased because the chord of the diffraction cone intercepted by the receiving slit has less curvature. However, if the same entrance slit is used, moving the specimen further from the source proportionately increases the length of specimen irradiated and decreases the intensity. The imaginary specimen focusing circle SFC passes through F, O and the middle of RS and its radius varies with :

Fig. 2.3.1.2. Specimen orientation for three diffractometer geometries. With ±2 scanning, diffraction is possible only from planes nearly parallel to the re¯ection specimen surface (left), and from planes nearly normal to the transmission specimen surface (middle), and from planes inclined different amounts to the specimen surface in Seemann±Bohlin geometry (right).

Fig. 2.3.1.3. X-ray optics in the focusing plane of a `conventional' diffractometer with re¯ection specimen, diffracted-beam monochromator, and ±2 scanning: take-off angle, DC diffractometer circle, MFC monochromator focusing circle, ES and RS entrance- and receiving-slit apertures,  Bragg angle, 2 re¯ection angle, O diffractometer and specimen rotation axis; other symbols listed in Fig. 2.3.1.1.

44

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES RSFC ˆ RDC =2 sin :

place. It may also be made in one piece (c) using machinable tungsten (Parrish & Vajda, 1966). A variable ES whose width increases with 2 so that the irradiated length is about the same at all angles has been described by Jenkins & Paolini (1974). It is called a compensating slit in which a pair of semicircular cylinders with a ®xed opening is rotated around the axis of the opening by a linkage attached to the specimen shaft of the diffractometer to vary the aperture continously with . The observed intensities must be corrected to obtain the relative intensities and the angular dependence of the aberrations is different from the ®xed aperture slit. Another way to irradiate constantly the entire specimen length is to use a self-centring slit which acts as an entrance and antiscatter slit (de Wolff, 1957). A 1 mm thick brass plate with rounded edge is mounted above the centre of the specimen and is moved in a plane normal to the specimen surface so that the aperture is proportional to sin . It can only be used for forward re¯ections. Owing to the beam divergence, the geometric centre of the irradiated specimen length shifts a small amount during the scan (see also x2:3:5:1:5†. It is generally advisable to centre the beam at the smallest 2 to be scanned. Below about 20 , the irradiated length increases rapidly and it is essential to use small apertures and to align the entrance and antiscatter slits carefully. Failure to do this correctly could cause (a) errors in the relative intensities owing to the primary beam exceeding the specimen area, (b) cutoff by the walls of the specimen holder for low-absorbing thick specimens, and (c) increased background from scattering by the specimen holder or the primary beam entering the detector. The transmission specimen method (Subsection 2.3.1.2) has advantages in measuring large d's. The beam converges after re¯ection on the receiving slit RS, whose width de®nes the re¯ection and pro®le width. Only those rays that are within the ±2 setting are in sharp convergence, i.e. `in focus'. The re¯ections become broader with increasing distance from the RS, and, therefore, this method is not suited for position-sensitive detectors. The RS aperture

…2:3:1:1†

The specimen holder is set parallel to the central ray at 0 and the gears drive the RS-detector arm at twice the speed of the specimen to maintain the ±2 relation at all angles. The source F is the line focus of the X-ray tube viewed at a take-off angle . The actual width, Fw0 , is foreshortened to Fw ˆ Fw0 sin : Fw0

…2:3:1:2† 

ˆ 0:4 mm and, at ˆ 5 , Fw ˆ 0:03 mm In a typical case, and the projected angular width is 0.025 for R ˆ 185 mm: The angular aperture ES of the incident beam in the equatorial (focusing) plane is determined by the entrance slit width ESw (also called the `divergence slit' since it limits the divergence of the beam) and its distance D1 from F: ES ˆ 2 arctan‰…ESw ‡ Fw †=2D1 Š:

…2:3:1:3†

Because the beam is divergent, the length of specimen irradiated Sl in the direction of the incident beam normal to O varies with : Sl ˆ ‰…R

D 0 †Š= sin ;

…2:3:1:4†

where  is in radians and D 0 is the distance from F to the crossover point before ES and is given by Fw D1 =…Fw ‡ ES†: The approximate relation Sl ˆ R= sin 

…2:3:1:5†

is close enough for practical purposes (Parrish, Mack & Taylor, 1966). The intensity is nearly proportional to ES but the maximum aperture that can be used is determined by Sl and the smallest angle to be scanned 2min , as shown in Fig. 2.3.1.4. The entrance-slit width may be increased to obtain higher intensity at the upper angular range; for example, ES ˆ 1 for the forwardre¯ection region and 4 for back-re¯ection. Some slit designs are shown in Fig. 2.3.1.5. The base is machined with a pair of rectangular shoulders whose separation A is the sum of the diameters of the two rods (a) or bar widths (b) and the central spacers on both ends that determine the slit opening. The distance P between the centre of the slit opening and the edge of the slit frame is kept constant for all slits to avoid angular errors when changing slits. The rods may be molybdenum or other highly absorbing metal and are cemented in

RS ˆ 2 arctan…RSw =2R†

is the dominant factor in determining the intensity and resolution. For RSw ˆ 0:1 mm and R ˆ 185 mm, RS ˆ 0:031 . Antiscatter slits AS are slightly wider than the beam and are essential in this and other geometries to make certain the detector

Fig. 2.3.1.5. Slit designs made with (a) rods, (b) bars, and (c) machined from single piece. (d) Parallel (Soller) slits made with spacers or slots cut into the two side pieces (not shown) to position the foils.

Fig. 2.3.1.4. Length of specimen irradiated, Sl , as a function of 2 for various angular apertures. Sl ˆ R=sin , R ˆ 185 mm.

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…2:3:1:6†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION 2.3.1.1.3. Alignment and angular calibration

can receive X-rays only from the specimen area. They must be carefully aligned to avoid touching the beam. The use of the long X-ray source makes it necessary to reduce the axial divergence, which would cause very large asymmetry. This is done with two sets of thin (25 to 50 mm† parallel metallic foils PS (`Soller slits'; Soller, 1924) placed before and after the specimen. If a monochromator is used, the set on the side of the monochromator is not essential because the crystal reduces the divergence. The angular aperture of a set of slits is  ˆ 2 arctan …spacing=length†:

It is essential to align and calibrate the diffractometer properly. Failure to do so degrades the performance of the instrument, leading to a loss of intensity and resolution, increased background, incorrect pro®le shapes, and errors that cannot be readily diagnosed. Procedures and devices for this purpose are often provided by the manufacturer. The principles and mechanical devices to aid in making a proper alignment have been described by Parrish & Lowitzsch (1959) and the general procedure by Klug & Alexander (1974, p. 280). The alignment requires setting the diffractometer axis of rotation to the selected X-ray tube take-off angle at a distance equal to the radius of the diffractometer. The long axes of the X-ray tube focal line, entrance, receiving, and antiscatter slits must be centred, be parallel to the axis of rotation, and lie in the same plane when the instrument is at 0 . The slits are made parallel to the axis of rotation in the manufacture of the diffractometer, and these steps require positioning of the instrument with respect to the line focus. The parallel-slit foils must also be normal to the rotation axis. A ¯at ¯uorescent screen made as a specimen to ®t into the diffractometer specimen post is used to centre the primary beam by small movements of the ES and/or diffractometer. The diffracted beam can be centred on the curved monochromator with a narrow slit placed at the centre of the monochromator position (with the monochromator removed). The detector arm is then moved to the highest intensity. The procedure is repeated with the receiving slit in position. This is very close to the 0 position described below. The angular calibration of the diffractometer is usually made by accurately measuring the 0 position to establish a ®ducial point. It assumes that the gear system is accurate and that the receiving-slit arm moves exactly to the angle indicated on the scale at all 2 positions. The determination of the angular precision of the gear train requires special equipment and methods; see, for example, Jenkins & Schreiner (1986). It is

…2:3:1:7†

The overall width of the set and  determine the width of the specimen irradiated in the axial direction, which remains constant at all 2's. The construction is illustrated in Fig. 2.3.1.5(d). The aperture  is usually 2 to 5 . Each set of parallel slits reduces the intensity; for example, with 12:5 mm long foils with 1 mm spacings, the intensity is about one-half of that without the parallel slits. The aperture can be selected with any combination of spacings and lengths but the greater the length, the fewer foils are needed, and the less is the intensity loss due to thickness of the metal foils (usually 0:025 mm). These slits can be made as interchangeable units of different apertures. 2.3.1.1.2. Use of monochromators Many diffractometers are equipped with a curved highlyoriented pyrolytic graphite monochromator placed after the receiving slit as shown in Fig. 2.3.1.3. Although graphite has a large mosaic spread … 0:35 to 0.6 ), the diffracted beam from the specimen is de®ned by the receiving slit, which determines the pro®le shape and width rather than the monochromator. The same results are obtained whether the monochromator is set in the parallel or antiparallel position with respect to the specimen. The most important advantage of graphite is its high re¯ectivity, which is about 25±50% for Cu K. This is much higher than LiF, Si or quartz monochromators that have been used for powder diffraction. The K ®lter and the parallel slits in the diffracted beam can be eliminated and, since each reduces the K intensity by about a factor of two, the use of a graphite monochromator actually increases the available intensity. The diffracted-beam monochromator eliminates specimen ¯uorescence and the scattered background whose wavelengths are different from that of the monochromator setting. For example, a Cu tube can be used for specimens containing Co, Fe, or other elements with absorption edges at longer wavelengths than Cu K to produce patterns with low background. Several monochromator geometries are described by Lang (1956). A specimen in the re¯ection mode may be used with an incident-beam monochromator and ±2 scanning as shown in Fig. 2.3.1.1(c). One of the principal advantages is that it is possible to adjust the monochromator and slits to remove the K2 component and produce patterns with only K1 peaks. The pro®le symmetry, resolution and instrument function are thus greatly improved; see, for example, Warren (1969), WoÈlfel (1981), GoÈbel (1982) and LoueÈr & Langford (1988). The highquality crystal required causes a large loss of intensity and reduces specimen ¯uorescence but does not eliminate it. However, Soller slits in the incident beam and a ®lter are no longer required and the net loss of intensity can be as low as 20%. Such monochromators can now be provided as standard by diffractometer manufacturers and their use is increasing, but they are not as widely used as the diffracted-beam monochromator.

Fig. 2.3.1.6. Zero-angle calibration. (a) XRT X-ray tube anode, takeoff angle, O axis of rotation, PH pinhole, RS receiving slit. Intensity distribution at right. (b) 0 position is median of two curves recorded with 180 rotation of PH.

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES 2.3.1.1.4. Instrument broadening and aberrations

essential that the setting of the worm against the gear wheel be adjusted for smooth operation. In practice, this is a compromise between minimum backlash and jerky movement. The backlash can be avoided by scanning in the same direction and running the diffractometer beyond the starting angle before beginning the data collection. Incremental angle encoders have been used when very high precision is required. The 0 position of the diffractometer scale, 20 , can be determined with a pinhole placed in the specimen post as shown in Fig. 2.3.1.6(a) (Parrish & Lowitzsch, 1959). The receiving slit is step scanned in 0.01 or smaller increments and the midpoints of chords at various heights are used to determine the angle. To avoid mis-centring errors of the pin-hole, two measurements are made with the specimen post rotated 180 between measurements. The median angle of the two plots is the 0 position as shown in Fig. 2.3.1.6(b) and the diffractometer scale is then reset to this position. The shape of the curves is determined by the relative sizes of the pinhole and the receivingslit width. With care, the position can be located to about 0.001 . The 20 position can be corrected by using it as a variable in the least-squares re®nement of the lattice parameter of a standard specimen. Another method measures the peak angles of a number of re¯ections on both sides of 0 , which is equivalent to measuring 4. This method may be mechanically impossible with some diffractometers. The ±2 setting of the specimen post is made with the diffractometer locked in the predetermined 0 position and manually (or with a stepping motor) rotating the post to the maximum intensity. A ¯at plate can be used as illustrated in Fig. 2.3.1.7(a). The setting can be made to a small fraction of a degree. Fig. 2.3.1.7(b) shows the effect of incorrect ± 2 setting, which combines with the ¯at-specimen aberration to cause a marked broadening and decrease of peak height but no apparent shift in peak position (Parrish, 1958). The effect increases with decreasing  and could cause systematic errors in the peak intensities as well as incorrect pro®le broadening.

The asymmetric form, broadening and angular shifts of the recorded pro®les arise from the K doublet and geometrical aberrations inherent in the imperfect focusing of the particular diffractometer method used. There are additional causes of distortions such as the time constant and scanning speed in ratemeter strip-chart recording, small crystallite size, strain, disorder stacking and similar properties of the specimen, and very small effects due to refractive index and related physical aberrations. Perfect focusing in the sense of re¯ection from a mirror is never realized in powder diffractometry. The focusing is approximate (sometimes called `parafocusing') and the practical selection of the instrument geometry and slit sizes is a compromise between intensity, resolution, and pro®le shape. Increasing the resolution causes a loss of intensity. When setting up a diffractometer, the effects of the various instrument and specimen factors should be taken into account as well as the required precision of the results so that they can be matched. There is no advantage in using high resolution, which increases the recording time (because of the lower intensity and smaller step increments), if the analysis does not require it. A set of runs to determine the best experimental conditions using the following descriptions as a guide should be helpful in obtaining the most useful results. In the symmetrical geometries where the incident and re¯ected beams make the same angle with the specimen surface, the effect of absorption on the intensity is independent of the  angle. This is an important advantage since the relative intensities can be compared directly without corrections. The actual intensities depend on the type of specimen. For a solid block of the material, or a compacted powder specimen, the intensity is proportional to  1 , where  is the linear absorption coef®cient of the material. The transparency aberration [equation (2.3.1.13)], however, depends on the effective absorption coef®cient of the composite specimen. The need to correct the experimental data for the various aberrations depends on the nature of the required analysis. For example, simple phase identi®cations can often be made using data in which the uncertainty of the lattice spacing
d=d is of the order of 1=1000, corresponding to about 0.025 to 0.05 precision in the useful identi®cation range. This is readily attainable in routine practice if care is taken to minimize specimen displacement and the zero-angle calibration is properly carried out. The experimental data can then be used directly for peak search (Subsection 2.3.3.7) to determine the peak angles and intensities (Subsection 2.3.3.5) and the data entered in the search/match program for phase identi®cation. However, in many of the more advanced aspects of powder diffraction, as in crystal-structure determination and the characterization of materials for solid-state studies, much more detailed and more precise data are required, and this involves attention to the pro®le shapes. The following sections describe the origin of the instrumental factors that contribute to the shapes and shift the peaks from their correct positions. Many of these factors can be handled individually. With the use of computer programs, they can be determined collectively by using a standard sample without pro®le broadening and pro®le-®tting methods to determine the shapes (Subsection 2.3.3.6). The resulting instrument function can then be stored and used to determine the contribution of the specimen to the observed pro®les. A series of papers describing the geometrical and physical aberrations occurring in powder diffractometry has been

Fig. 2.3.1.7. (a) ±2 setting at 0 . Flat plate or long narrow slit is rotated to position of highest intensity. (b) and (c) Pro®les obtained with correct ±2 setting (solid pro®le) and 1 and 2 mis-settings (dashed pro®les) at (b) 21 and …c† 60 (2).

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION re¯ections recorded with these methods. The shapes are modi®ed by changing slit sizes.

published by Wilson (1963, 1974). His work provides the mathematical foundation for understanding the origin and treatment of the various sources of errors. The major aberrations are described in the following and are illustrated with experimental pro®les and plots of computed data for better visualization and interpretation of the effects. The information can be used to correct the experimental data, interpret the pro®le broadening and shifts, and evaluate the precision of the analysis. Chapter 5.2 contains tables listing the centroid displacements and variances of the various aberrations. The magnitudes of the aberrations and their effects are illustrated in Figs. 2.3.1.8(a) and (b), which show the Cu K1 ; K2 spectrum inside the experimental pro®le. At high 2's, the shape of the experimental pro®le is largely determined by the spectral distribution, but at low 2's the aberrations are the principal contributors. The basic experimental high-resolution pro®le shapes from specimens without appreciable broadening effects (NIST silicon powder standard) are shown in Figs. 2.3.1.8(c)±( f ). The solid-line pro®les were obtained with a re¯ection specimen (Fig. 2.3.1.3), and the dashed-line pro®les with transmission-specimen geometry (Fig. 2.3.1.12). The differences in the K1 ; K2 doublet separations are explained in Subsection 2.3.1.2. These pro®les are the basic instrument functions which show the pro®le shapes contained in all

2.3.1.1.5. Focal line and receiving-slit widths The projected source width Fw and receiving-slit width RSw each add a symmetrical broadening to the pro®les that is constant for all angles. Both the pro®le width and the intensity increase with increasing take-off angle (Section 2.3.5). However, the contribution of Fw is small when the line focus is used, Fig. 2.3.1.9(a). The receiving slit can easily be changed and it is one of the most important elements in controlling the pro®le width, intensity, and peak-to-background ratio, as is shown in Figs. 2.3.1.9(a) and (c). Because of the contributions of other broadening factors, RS can be about twice F (line focus) without signi®cant loss of resolution. The projected width of the X-ray tube focus Fw is given in equation (2.3.1.2). The aperture is F ˆ 2 arctan…Fw =2R†:

…2:3:1:8†

Fw0

ˆ 1 mm, ˆ 5 , and For a line focus with actual width  R ˆ 185 mm, F ˆ 0:011 . The receiving-slit aperture is RS ˆ 2 arctan…RSw =2R†:

…2:3:1:9†

For RSw ˆ 0:2 mm and R ˆ 185 mm. RS is 0.062 . The FWHM of the pro®les is always greater than the receiving-slit aperture because of the other broadening factors. 2.3.1.1.6. Aberrations related to the specimen The major displacement errors arising from the specimen are (1) displacement of the specimen surface from the axis of rotation, (2) use of a ¯at rather than a curved specimen, and (3) specimen transparency. These are illustrated schematically for the focusing plane in Fig. 2.3.1.10(a). The rays from a highly absorbing or very thin specimen with the same curvature as the focusing circle converge at A without broadening and at the correct 2. The rays from the ¯at surface cause an asymmetric pro®le shifted to B. Penetration of the beam below the surface combined with the ¯at specimen causes additional broadening and a shift to C. The most frequent and usually the largest source of angular errors arises from displacement of the specimen surface from the diffractometer axis of rotation. It is not easy to avoid and may arise from several sources. It is advisable to check the reproducibility of inserting the specimen in the diffractometer by recording an isolated peak at low 2 for each insertion. If only a radial displacement s occurs, the re¯ection is shifted
2…rad† ˆ 2s cos =R;

where R is the diffractometer radius. A plot of equation (2.3.1.10) is shown in Fig. 2.3.1.10(b). The shift is to larger or smaller angles depending on the direction of the displacement and there is no broadening if the displacement is only radial and relatively small. Even a small displacement causes a relatively large shift; for example, if s ˆ ‡0:1 mm and R ˆ 185 mm,
2 ˆ ‡0:06 at 20 2. This gives rise to a systematic error in the recorded re¯ection angles, which increases with decreasing 2. It could be handled with a cos  cot  plot, providing it was the only source of error. There are other possible sources of displacement such as (a) if the bearing surface of the specimen post was not machined to lie exactly on the axis of rotation, (b) improper specimen preparation or insertion in which the surface was not exactly coincident with the bearing surface or (c) nonplanar specimen surface, irregularities, large particle sizes, and specimen transparency. Source (a) leads to a constant error

Fig. 2.3.1.8. Diffractometer pro®les. (a) and (b) Spectral pro®les l of Cu K doublet (dashed-line pro®les) inside experimental pro®les R (solid line). (c)±( f ) Experimental pro®les with re¯ection specimen (R) geometry (Fig. 2.3.1.3) with ES 1 and RS 0.046 (solid line pro®les), and transmission specimen (T) (Fig. 2.3.1.12) with ES 2 and receiving axial divergence parallel slits (dotted pro®les). Cu K radiation. (a) Si(531), (b) quartz(100), (c) Si(111), (d) Si(220), (e) Si(311), and ( f ) Si(422).

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…2:3:1:10†

2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES in all measurements, and errors due to (b) and (c) vary with each specimen. Ideally, the specimen should be in the form of a focusing torus because of the beam divergence in the equatorial and axial planes. The curvatures would have to vary continuously and differently during the scan and it is impracticable to make specimens in such forms. An approximation is to make the specimen in a ¯exible cylindrical form with the radius of curvature increasing with decreasing 2 (Ogilvie, 1963). This requires a very thin specimen (thus reducing the intensity) to avoid cracking and surface irregularities, and also introduces background from the substrate. A compromise uses rigid curved specimens, which match the SFC (Fig. 2.3.1.3) at the smallest 2 angle to be scanned, and this eliminates most of the aberration (Parrish, 1968). A major disadvantage of the curvature is that it is not possible to spin the specimen. In practice, a ¯at specimen is almost always used. The specimen surface departs from the focusing circle by an amount h at a distance l=2 from the specimen centre: h ˆ RFC

‰R2FC

…l2 =2†Š1=2 :

broadens the pro®le (Langford & Wilson, 1962). The peak and centroid are shifted to smaller 2 as shown in Fig. 2.3.1.10(e). For the case of a thick absorbing specimen, the centroid is shifted
2…rad† ˆ sin 2=2R and for a thin low-absorbing specimen
2…rad† ˆ t cos =R;

…2:3:1:11†

2 =…6 tan †:

…2:3:1:12†

For  ˆ 1 and 2 ˆ 20 ,
2 ˆ 0:016 . The peak shift is about one-third as large as the centroid shift in the forwardre¯ection region. This aberration can be interpreted as a continuous series of specimen-surface displacements, which increase from 0 at the centre of the specimen to a maximum value at the ends. The effect increases with  and decreasing 2. The pro®le distortion is magni®ed in the small 2-angle region where the axial divergence also increases and causes similar effects. Typical ¯at-specimen pro®les are shown in Fig. 2.3.1.10(c) and computed centroid shifts in Fig. 2.3.1.10(d). The specimen-transparency aberration is caused by diffraction from below the surface of the specimen which asymmetrically

Fig. 2.3.1.9. (a) Effect of source size on pro®le shape, Cu K, ES 1 , RS 0.05 , Si(111). No. 1 2 3 4

Projected size (mm) 1:6  1:0 (spot) 0:32  10 (line) 0:16  10 (line) 0:32  12 (line)

FWHM ( 2) 0.31 0.11 0.13 0.17.

Effect of receiving-slit aperture RS on pro®les of quartz (b) (100) and (c) (121); peak intensities normalized, Cu K, ES 1 .

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…2:3:1:14†

where  is the effective linear absorption coef®cient of the specimen used, t the thickness in cm, and R the diffractometer radius in cm. The intermediate absorption case is described by Wilson (1963). A plot of equation (2.3.1.13) for various values of  is given in Fig. 2.3.1.10… f †. The effect varies with sin 2 and is maximum at 90 and zero at 0 and 180 . For example, if  ˆ 50 cm 1 , the centroid shift is 0.033 at 90 and falls to 0.012 at 20 2. The observed intensity is reduced by absorption of the incident and diffracted beams in the specimen. The intensity loss is exp… 2=xs cosec ), where  is the linear absorption coef®cient of the powder sample (it is almost always smaller than the solid material) and xs is the distance below the surface, which may be equal to the thickness in the case of a thin ®lm or low-absorbing material specimen. The thick …1 mm† specimen of LiF in Fig. 2.3.1.10(e) had twice the peak intensity of the thin …0:1 mm† specimen. The aberration can be avoided by making the sample thin. However, the amount of incident-beam intensity contributing to the re¯ections could then vary with  because different amounts are transmitted through the sample and this may require corrections of the experimental data. Because the effective re¯ecting volume of low-absorbing specimens lies below the surface, care must be taken to avoid blocking part of the diffracted beam with the antiscatter slits or the specimen holder, particularly at small 2. There are additional problems related to the specimen such as preferred orientation, particle size, and other factors; these are discussed in Section 2.3.3.

This causes a broadening of the low-2 side of the pro®le and shifts the centroid
2 to lower 2:
2…rad† ˆ

…2:3:1:13†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION 2.3.1.1.7. Axial divergence

reduced because the chord length intercepted is a smaller fraction of the longer radius diffraction cone. The construction of parallel (Soller) slits (Soller, 1924) is shown in Fig. 2.3.1.5(d). The calculation of the aberration and the present status is summarized by Wilson (1963, pp: 40±45). The results depend on the aperture of the parallel slits, the length of the entrance and receiving slits, and 2. In the limit of small s, the shift of the centroid is

Divergence in the axial direction (formerly also called `vertical divergence') causes asymmetric broadening and shifts the re¯ections. The aberration is illustrated in Fig. 2.3.1.11 for a low-2 re¯ection in the transmission-specimen mode (Subsection 2.3.1.2). The narrow pro®le was obtained with  ˆ 4:4 parallel slits placed between the monochromator and detector, and the broad pro®le with the slits removed. The slits caused a 33% reduction in peak intensity. This problem was recognized in the ®rst design of the diffractometer using the X-ray tube line focus when parallel slits were used in the incident and diffracted beams to limit the effect (Parrish, 1949). Increasing the radius reduces the effect if the slit length is kept constant. The intensity is also


…2; rad† ˆ …s=l†2 cot 2=6;

…2:3:1:15†

where s is the spacing and l the length of the foils. The shift becomes very large at small 2's but not in®nite as equation (2.3.1.15) implies. The shift is to smaller 2's in the forwardre¯ection region and to larger 2's in back-re¯ection. However, the mathematical formulation is dif®cult to quantify because in the forward-re¯ection region the axial divergence convolves with the ¯at-specimen aberration to increase the asymmetry. In the back-re¯ection region, the effect is not so obvious because the distortion is smaller and the Lorentz and dispersion factors also stretch the pro®les to higher angles. 2.3.1.1.8. Combined aberrations Additional aberrations are caused by inaccurate instrument set-up and alignment. For example, if the receiving-slit position is incorrect, the pro®les are broadened. If, in addition, the incident beam is mis-centred or the ±2 is incorrect, a peak shift accompanies the broadening because the aberrations convolute, causing larger distortions and peak shifts than the individual aberrations, for example, ¯at-specimen, transparency, and axial divergence. 2.3.1.2. Transmission specimen, ±2 scan Transmission-specimen methods are not as widely used as re¯ection methods but they provide important supplemental data and have advantages in a number of applications. Re¯ections occur from lattice planes oriented normal to the specimen surface rather than parallel. Re¯ection and transmission patterns can be compared to determine texture and preferred-orientation effects. The transmission method is better suited to the measurement of large d's. Smaller specimen volumes are required. The surface `roughness' which may cause large intensity errors due to the microabsorption in re¯ection specimens is largely reduced. The same basic diffractometer is used for both methods but the geometry is different because the diffracted beam continues to

Fig. 2.3.1.10. (a) Origin of specimen-related aberrations in focusing plane of conventional re¯ection specimen diffractometer (Fig. 2.3.1.3). A no aberration from curved specimen; B ¯at specimen; C specimen displacement from 0. (b) Computed angular shifts caused by specimen displacement, R ˆ 185 mm. (c) Flat-specimen asymmetric aberration, Si(422), Cu K1 , K2 peak intensities normalized. (d) Computed ¯at-specimen centroid shifts for various apertures; parabola for constant irradiated 2 cm specimen length. (e) Transparency asymmetric aberration, LiF(200) powder re¯ection, Cu K, peak intensities normalized, thin specimen (solid-line pro®le) 0:1 mm thick; thick specimen (dotted-line pro®le) 1:0 mm, ES 1 , RS 0.046 . … f † Computed transparency centroid shifts for various values of linear absorption coef®cient.

Fig. 2.3.1.11. Effect of axial divergence on pro®le shape. Narrow pro®le recorded with parallel slits (PS),  ˆ 4:4 between monochromator and detector Fig. (2.3.1.12), and broad pro®le with these parallel slits removed. Faujasite, Cu K, ES 2 .

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES where M is the Bragg angle of the monochromator for the selected wavelength and the l's are shown in Fig. 2.3.2.12(a). Because the pro®le shape and the intensity are determined by the monochromator, the crystal quality and the accuracy of the bending are crucial factors in determining the quality of the pattern. A ¯at thin quartz (101) wafer bent with a special device to approximate a section of a logarithmic spiral has been successfully used (de Wolff, 1968b). The curvature can be varied to obtain the sharpest focus. Thin silicon crystals that can be bent are now available, and Johann and Johannsen asymmetric crystals may be used. Pyrolytic graphite monochromators are not applicable; the radii would be longer because graphite is too soft to be cut at an angle, and a receiving slit would be necessary to de®ne the diffracted beam because the monochromator produces a broad re¯ection. A polarization factor is introduced by the monochromator,

diverge after it passes through the specimen and the monochromator is required to refocus the beam, on the detector as shown in Fig. 2.3.1.12 (de Wolff, 1968b; Parrish, 1958). The monochromator can be placed before or after the specimen and the position has different effects on the pattern. Using the monochromator in the diffracted beam, the intensity and width of the pro®les are determined by the X-ray focal line width and the quality of the bent monochromator rather than the receiving slit which serves as an antiscatter slit. This geometrical arrangement places the virtual image VI of the focal line at the intersection of the focusing circles. After re¯ection from the specimen, the divergent beam is again re¯ected by the focusing crystal M and converges on the detector. The pattern is recorded with ±2 scanning with the monochromator and detector both mounted on a rigid arm rotating around the diffractometer axis. A beam stop MS can be translated and moved in and out near the crossover point to prevent the primary beam from entering the detector at small 2's. To avoid long radii, the crystal surface is cut at an angle  (about 3 ) to the re¯ecting lattice plane. The distances are related by …l1 ‡ l2 †=l3 ˆ ‰sin…M ‡ †Š=‰sin…M RFC ˆ ‰l1 ‡ l2 Š=‰2 sin…M ‡ †Š ˆ l3 =‰2 sin…M †Š;

p ˆ …1 ‡ k cos2 2†=…1 ‡ k†;

…2:3:1:17†

2

where k ˆ cos 2M for mosaic crystals and k ˆ cos 2M for perfect crystals. The value of k is strongly dependent on the surface ®nish of the crystal and the crystal should be measured to determine the effect. A specimen with accurately known structure factors such as silicon can be used to calibrate the intensities. The K-doublet separation is zero at the 2 angle at which the dispersion of the specimen compensates that of the monochromator, i.e. the 2 at which the monochromator is aligned and also depends on the distances. The K1 and K2 peaks are superposed and appear as a single peak over a small range of 2's. The K2 peak gradually separates with increasing 2 but the separation is less than calculated from the wavelengths and the intensity ratio may not be 2:1 until higher angles are reached as shown in Fig. 2.3.1.8. A larger angular aperture T can be used for transmission than for re¯ection R because the specimen is more nearly normal to than parallel to the primary beam:

†Š …2:3:1:16†

T =R ˆ 2RD =‰1 ‡ …R=l2 †Ls Š;

…2:3:1:18†

where the diffractometer radius RD ˆ l1 . For RD ˆ 170 mm, specimen length LS ˆ 20 mm and l2 ˆ 65 mm; T could be 4.7 times larger than R but the monochromator length usually limits it to about 3 . The smallest re¯ection angle that can be measured is 2min ˆ T ‰…RD ‡ l2 †=l2 Š:

…2:3:1:19†

Ê for Cu K Using T ˆ 0:5 , 2min ˆ 1:75 and d ˆ 50 A radiation. Specimen preparation is not dif®cult and the preparation can be easily tested and changed. The specimen must be X-ray transparent and can be a free-standing ®lm or foil, or a powder cemented to a thin substrate. The substrate selection is important because its pattern is included. If both transmission and re¯ection patterns are to be compared, the substrate should be selected to have a minimal contribution to both. For example, Mylar is a good substrate for transmission but has a strong re¯ection pattern, and although rolled Be foil has a few re¯ections it is often satisfactory for both. The absorption factor is A ˆ …t= cos † exp… s= cos †;

Fig. 2.3.1.12. X-ray optics of the transmission specimen with asymmetric focusing monochromator and ±2 scanning. (a) Monochromator in diffracted beam. M Bragg angle of monochromator with surface cut at angle  to re¯ecting plane, MS adjustable beam stop, I1 , I2 , and I3 de®ned in text and other symbols listed in Fig. 2.3.1.3. (b) Monochromator in incident beam, equivalent to Guinier focusing camera.

where t is the powder thickness and s is the sum of the products of the absorption coef®cients and thicknesses of the powder and the substrate. The optimum specimen thickness to give the highest intensity is t ˆ 1, i.e. the specimen should transmit about 38% of the incident K intensity. The transmission can be 51

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…2:3:1:20†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION easily measured with a standard specimen set to re¯ect the K and the specimen to be measured inserted normal to the diffracted beam in front of the detector. It is not critical to achieve the exact value and a range of 15±20% of the transmission can be tolerated. This minimizes the effect of the absorption change with 2, and corrections of the relative intensities are required only when accurate values are required. The intensity of the incident beam can be measured at 0 in the same geometry and used to scale the relative intensities to `absolute' values. The ¯at specimen, transparency, and specimen surface displacement aberrations are similar to those in re¯ection specimen geometry except that they vary as sin  rather than cos . This is an important factor in the measurement of large-dspacing re¯ections. The ¯at-specimen effect is smaller because the irradiated specimen length is usually smaller. The transparency error is also usually smaller because thin specimens are used. An important advantage of the method is that the specimen displacement can be directly determined by measuring the peak in the normal position and again after rotating the specimen holder 180 . The correct peak position is at one-half the angle between the two values. The axial divergence has the same effect as in re¯ection. The limitations are that only the forwardre¯ection region is accessible, and the intensity is about one-half of the re¯ection method (except at small angles) because smaller specimen volumes are used. An alternative arrangement for the transmission specimen mode is to use an incident-beam monochromator as shown in Fig. 2.3.1.12(b). This is similar to the geometry used in the Guinier powder camera with the detector replacing the ®lm. A high-quality focusing crystal is required. WoÈlfel (1981) used a symmetrical focusing monochromator with 260 mm focal length for quantitative analysis. GoÈbel (1982) used an asymmetric monochromator with a position-sensitive detector for high-speed scanning, see x2.3.5.4.1. By proper selection of the source size and distances, the K2 can be eliminated and the pattern contains only the K1 peaks (Guinier & SeÂbilleau, 1952). This geometry can have high resolution with the FWHM typically about 0.05 to 0.07 . The pro®le widths are narrower for the subtractive setting of the monochromator than for the additive setting. The pattern is recorded with ±2 scanning. The 0 position can be determined by measuring 4, i.e. peaks above and below 0 , or calibration can be made with a standard specimen. A slit after the monochromator limits the size of the beam striking the specimen. The width and intensity of the powder re¯ections are limited by the receiving-slit width. A parallel slit is used between the specimen and detector to limit axial divergence. The full spectrum from the X-ray tube strikes the monochromator and only the monochromatic beam reaches the specimen, so that it is preferred for radiation-sensitive materials. On the other hand, the radiation reaching the specimen may cause ¯uorescence (though considerably less than the full spectrum) which adds to the background.

re¯ections caused by inclination of the rays to the ®lm. The diffractometer eliminates the broadening and extends the angular range. Diffractometers designed for this geometry have been described by Wassermann & Wiewiorosky (1953), SegmuÈller (1957), Kunze (1964a,b), Parrish, Mack & Vajda (1967), King, Gillham & Huggins (1970), Feder & Berry (1970), and others. The geometry is shown in Fig. 2.3.1.13(b) (Parrish & Mack, 1967). Re¯ections occur from lattice planes with varying inclinations H to the specimen surface. The re¯ecting position of a plane H is H ˆ ‡ H , where is the incidence angle and 4H the re¯ection angle. The maximum value of H is about 45 . It is essential to align the specimen tangent to FC. This is a critical adjustment because even a small misalignment causes pro®le broadening and loss of peak intensity. The source may be the line focus of the X-ray tube [F in Fig. 2.3.1.13(b)] or at the focus of a monochromator [ES in Fig. 2.3.1.13(a)]; in the latter case, the entrance slit at F 0 limits the divergent beam reaching the specimen. The source, specimen centre O, and receiving slit RS lie on the specimen focusing circle SFC, which has a ®xed radius r. The incidence angle is given by

ˆ arcsin…b=2r†;

…2:3:1:21†

0

where b is the distance from F or F to O, or 2r sin . The angle determines the angular range that can be recorded with a given r, decreasing decreases 2min . The relationships of specimen position on the focusing circle and the recording range

2.3.1.3. Seemann±Bohlin method The Seemann±Bohlin (S±B) diffractometer has the specimen mounted on a radial arm instead of the axis of rotation and a linkage or servomechanism moves the detector around the circumference of a ®xed-radius focusing circle while keeping it pointed to the stationary specimen. All re¯ections occur simultaneously focused on the focusing circle as shown in Fig. 2.3.1.13(a). The method was originally developed for powder cameras by Seemann (1919) and Bohlin (1920) but was not widely used because of the limited angular range and the broad

Fig. 2.3.1.13. Seemann±Bohlin method. (a) X-ray optics using incidentbeam monochromator. (b) X-ray tube line-focus source showing geometrical relations: mean angle of incident beam, H inclination of re¯ecting plane H to specimen surface, H Bragg angle of H plane, t tangent to focusing circle at O. (c) Diffractometer settings for various angular ranges.

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES 40 4 to 62% at 210 , and Cr K from 73 to 23% at the same angles. Some of the advantages of the method include the following: (a) the ®xed specimen makes it possible to simplify the design of specimen environment devices; (b) a large aperture can be used and the intensities are higher than for conventional diffractometers; (c) the ¯at-specimen aberration can be eliminated by a single-curvature specimen; (d) a small angle can be used to increase the path length l in the specimen, and hence the intensity of low-absorbing thin-®lm samples …l ˆ t= sin and for ˆ 5 , l ˆ 11:5t); (e) the method is useful in thin-®lm and preferredorientation studies because about a 45 range of lattice-plane orientations can be measured and compared with conventional patterns. The limitations include (a) the more complicated diffractometer and its alignment, (b) limited angular range of about 10 to 110 2 for the forward-re¯ection setting, (c) extreme care required in specimen preparation, and (d) larger aberration errors.

are illustrated in Fig. 2.3.1.13(c). To change the range requires rotation of the X-ray tube axis or the diffractometer around F. The detector must also be repositioned. For forward-re¯ection measurements, is usually  10 . Extreme care must be used in the specimen preparation to avoid errors due to microabsorption (particle-shadowing) effects, which increase with decreasing . The 0 position cannot be measured directly and a standard is used for calibration. The range from 0 to about 15 2 is inaccessible because of mechanical dimensions. At ˆ 90 , only the back-re¯ection region can be scanned. The aperture of the beam striking the specimen is SB ˆ 2 arctan…ESw =2a†;

…2:3:1:22†

where ESw is the entrance slit width and a the distance between F or F 0 and the slit. The irradiated specimen length l is constant at all angles, l ˆ 2r. A large aperture can be used to increase intensity since the specimen is close to F. However, the selection of  is limited if is small, and also because of the large ¯atspecimen aberration. The receiving-slit aperture varies with the distance of the slit to the specimen RS … 4† ˆ 2 arctan RSw =‰2r sin…2

†Š:

2.3.1.4. Re¯ection specimen, ± scan In this geometry, the specimen is ®xed in the horizontal plane and the X-ray tube and detector are synchronously scanned in the vertical plane in opposite directions above the centre of the specimen as shown in Fig. 2.3.1.14. The distances source to S and S to RS are equal to that the angles of incidence and diffraction and a constant d=dt are maintained over the entire angular range. A focusing monochromator can be used in the incident or diffracted beam. High- and low-temperature chambers are simpli®ed because the specimen does not move. The arms carrying the X-ray tube and detector must be counterbalanced because of the unequal weights. The method has advantages in certain applications such as the measurement of liquid scattering without a covering window, high-temperature molten samples, and other applications requiring a stationary horizontal sample (Kaplow & Averbach, 1963; Wagner, 1969).

…2:3:1:23†

Consequently, the resolution and relative intensity gradually change across the pattern. The S±B has greater widths at the smaller 2's and nearly the same widths at the higher angles compared with the ±2 diffractometer. The aperture can be kept constant by using a special slit with offset sides (to avoid shadowing) and pointing the opening to C while the detector remains pointed to O (Parrish et al., 1967). The slit opening is tangent to FC and inclined to the beam and rotates while scanning. The constant aperture slit has RS … 4† ˆ 2 arctan…RSw =2r†:

…2:3:1:24†

The axial divergence is limited by parallel slits as in conventional diffractometry and the effects are about the same. The equatorial aberrations are also similar but larger in magnitude. The specimen-aberration errors are listed in Table 5.2.7.1. The ¯at specimen causes asymmetric broadening; the shift is proportional to 2ES and increases with decreasing . It can be eliminated by making the specimen with the same curvature as r ˆ FC. In this case, one curvature satis®es the entire angular range because the focusing circle has a ®xed radius. However, the curvature precludes rotating the specimen. The specimen transparency also causes asymmetric broadening and a peak shift that increases with decreasing . For h ! 0, the geometric term is the same as for specimen displacement (Mack & Parrish, 1967). The diffracted intensity is proportional to I0 A…h†TB, where I0 is the incident intensity determined by ; , and the axial length L of the incident-beam assembly, A…h† is the specimen absorption factor, T the transmission of the air path, and B the length LRS of the diffracted ring intercepted by the slit. The X-rays re¯ected at a depth x below the specimen surface are attenuated by expf ‰x cosec  ‡ x cosec …2

†Šg;

2.3.1.5. Microdiffractometry There are two types of microdiffraction: (a) only a very small amount of powder is available, and (b) information is required from very small areas of a conventional-size specimen. Smallvolume samples have been analysed with a conventional diffractometer by concentrating the powder over a small spot centred on a single-crystal plate such as silicon (510) or an

…2:3:1:25†

where  is the linear absorption coef®cient. The asymmetric geometry causes the absorption to vary with the re¯ection angle. The air absorption path varies with the distance O to RS and reaches a maximum at 180 ‡ 2 . The expression for air transmission includes the radius of the X-ray tube RT , which is needed only for the case where the X-ray tube focal line is used as F. In a typical instrument with X-ray tube source F and r ˆ 174 mm, the transmission of Cu K decreases from 90% at

Fig. 2.3.1.14. Optics of ± scanning diffractometer. X-ray tube and detector move synchronously in opposite directions (arrows) around ®xed horizontal specimen. A focusing monochromator can be used after the receiving slit.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION AT-cut quartz plate, or on Mylar for transmission. It is essential to rotate the specimen and increase the count time. A Gandol® camera has also been used for very small specimens (see Section 2.3.4). A high-brilliance microfocus X-ray source has been used with a collimator made of 10 to 100 mm internal-diameter capillary tube. An X±Y stage is used with an optical microscope to locate selected areas of the specimen. A microdiffractometer has been designed for microanalysis, Fig. 2.3.1.15 (Rigaku Corporation, 1990). It has been used to determine phases and stress in areas < 104 mm2 (Goldsmith & Walker, 1984). The key to the method is the use of an annularring receiving slit, which transmits the entire diffraction cone to the detector instead of a small chord as in conventional diffractometry, thereby utilizing all the available intensity. The pattern is scanned by translating the ring and detector along the direct-beam path so that 2 ˆ arctan…RRS =L†;

parallel slits limit vertical divergence. However, all the methods result in a large loss of intensity compared with conventional focusing. In contrast, the storage ring produces a virtually parallel beam with very small vertical divergence of about 0:1 mrad, and the monochromator is used only to select the wavelength. The rest of this section assumes a synchrotronradiation source. Storage-ring X-ray sources have a number of unique properties that are of great importance for powder diffraction. The advantages of synchrotron powder diffraction have been described by Hastings, Thomlinson & Cox (1984), Parrish & Hart (1987), Parrish (1988), and Finger (1989). Excellent patterns with high resolution and high peak-to-back ground ratio have been reported. These include the orders-of-magnitude higher intensity and nearly uniform spectral distribution compared with X-ray tubes, the wide continuous range of selectable wavelengths, and the single pro®le that avoids the problems caused by K doublets and ®lters. Owing to major differences in the diffractometer geometries, comparisons of intensities with X-ray tube focusing methods cannot be predicted simply from the number of source photons.

…2:3:1:26†

where RRS is the radius of the ring slit and L the distance from the ®xed specimen. For RRS ˆ 15 mm, L varies from 171 to 9 mm in the transmission range 5 to 60 2; a 50 mm diameter scintillation counter is used. A doughnut-shaped proportional counter (3=4 of a full circle) is used for the 30 to 150 re¯ection specimen mode. The slit width is 0:2 mm and the aperture varies with 2. The intensities fall off at the higher 2's because of the small incidence angles to the slit. An alternative method uses a position-sensitive proportional counter. Steinmeyer (1986) has described applications of microdiffractometry. By using synchrotron radiation (Section 2.3.2), single-crystal data for structure determination can now be obtained from a microcrystal about 5±10 mm in size; see Andrews et al. (1988), Bachmann, Kohler, Schultz & Weber (1985), Harding (1988), Newsam, King & Liang (1989), Cheetham, Harding, Mingos & Powell (1993), Harding & Kariuki (1994), and Harding, Kariuki, Cernik & Cressey (1994).

Fig. 2.3.2.1. Method to obtain parallel beam from X-ray tube for powder diffraction. HPS parallel slits to limit axial divergence, ES entrance slits (can be replaced by pair of ¯at parallel steel bars), S specimen, VPS parallel slits to de®ne diffracted beam, M ¯at monochromator (can be omitted). D detector. See also Fig. 2.3.2.4(a).

2.3.2. Parallel-beam geometries, synchrotron radiation The radiation from the X-ray tube is divergent and various methods can be used to obtain a parallel beam as shown in Fig. 2.3.2.1. Symmetrical re¯ection from a ¯at crystal is the usual method. An asymmetric re¯ecting monochromator with small incidence angle and large exit angle expands the beam, or in reverse condenses it (x2:3:5:4:1†: A channel monochromator has the advantage of not changing the beam direction. A receiving slit or preferably Soller slits can be used to de®ne the diffracted beam. A graphite monochromator in the diffracted beam or a solid-state detector eliminates ¯uorescence. The incident-beam

Fig. 2.3.1.15. Rigaku microdiffractometer for microanalysis. C collimator, PC ring proportional counter, RS ring slit with radius r, S specimen, SC scintillation counter, PBS primary beam stop, PH pinhole for alignment, L specimen-to-receiving-slit distance.

Ê synchrotron radiation Fig. 2.3.2.2. Silicon powder pattern with 1 A using method shown in Fig. 2.3.2.4(a). The 444 re¯ection is the limit for Cu K radiation.

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES The easy wavelength selection makes it possible to avoid specimen ¯uorescence, to record data on both sides of an absorption edge for anomalous-scattering studies, to select optimum angles and wavelengths for lattice-parameter measurements, and to vary the dispersion. Short-wavelength radiation can be used for uncomplicated patterns without the background occurring in X-ray tube spectra. Fig. 2.3.2.2 shows a silicon Ê X-rays in which there are twice pattern obtained with 1:0 A as many re¯ections as can be recorded with Cu K, and the background remains very low out to the highest 2 angles. The Ê ) are especially useful for samples short wavelengths ( 0:7 A mounted in cryostats, furnaces, and pressure cells. Using an incident-beam tunable monochromator, no continuous radiation reaches the specimen and a wavelength can be selected that gives a high peak-to-background ratio and no specimen ¯uorescence. If the specimen contains different chemical phases, patterns can be recorded using wavelengths on both sides of the absorption edge to enhance one of the patterns as an aid in identi®cation. This is illustrated in Fig. 2.3.2.3 for a mixture of Ni and ZnO powders. A pattern (a) with

maximum peak-to-background ratio is obtained with a wavelength slightly longer than the Ni K-absorption edge but using a wavelength shorter than the edge (b) causes high Ni K ¯uorescence background. The relative intensities of the peaks in each compound are the same with both wavelengths. However, the large change in the Ni absorption across the edge caused a large difference in the ratio of Ni=ZnO intensities. The Ni(111) decreased by 85% and the intensity ratio Ni(111)=ZnO(102) dropped from 4.2 to 1.3. Modi®ed conventional vertical-scanning diffractometers are used to avoid intensity losses from the strong polarization in the horizontal plane. The six basic powder diffraction methods that have been used are: (a) Monochromatic X-rays with ±2 scanning and ¯at specimen as in conventional X-ray tube methods but using parallel-beam X-ray optics. This is the most widely applicable method for polycrystalline materials. (b) Monochromatic X-rays with ®xed specimen and 2 detector scan, used for analysing texture, preferred orientation, and grazing-incidence diffraction. (c) Monochromatic X-rays with a capillary specimen and scanning receiving slit or position-sensitive detector. (d) Energy-dispersive diffraction using a step-scanned channel monochromator, selectable ®xed ±2 positions, and conventional scintillation counter and electronics. The instrumentation is the same as (a) and may be used in methods that require a stationary specimen. (e) Energy-dispersive diffraction using the white beam, solidstate detector and multichannel analyser, and selected ®xed ±2. This is the method frequently used with synchrotron and X-ray tube sources but it has low pattern resolution (Giessen & Gordon, 1968). … f † Angle-dispersive or energy-dispersive experiments with an imaging-plate detector, whereby complete Debye±Scherrer rings are recorded simultaneously, as in some ®lm methods (Subsection 2.3.4.1) (e.g. Piltz et al., 1992). This is a particularly useful technique for studies under non-ambient conditions, such as experiments at ultra-high pressure (e.g. McMahon & Nelmes, 1993). 2.3.2.1. Monochromatic radiation, ±2 scan The X-ray optics of a plane-wave parallel-beam diffractometer is shown schematically in Fig. 2.3.2.4(a). The primary white beam is limited by slits at C1. A channel monochromator CM is used because it has the important property of maintaining the same direction and position for a wide range of wavelengths. It may be used in the dispersive setting with respect to the specimen or in the parallel setting [Fig. 2.3.2.4(b)]. The monochromatic beam is larger than the entrance slit ES and it is unnecessary to realign the powder diffractometer when changing wavelengths. The monochromator can be mounted on a stripped diffractometer for easy alignment and step scanning. There are no characteristic spectral lines and the wavelength calibration of the monochromator is made by step scanning the monochromator across absorption edges of elements in a specimen or pure element foils placed in the beam. The wavelength accuracy is limited by the uncertainty as to what feature of the edge should be measured and which one was used for the wavelength tables. A standard powder sample such as NIST silicon 640b whose lattice parameter is known with moderately high precision can also be used. An alternative method is to measure the re¯ection angle of a single-crystal plate of ¯oat-zones oxygen-free silicon whose lattice parameter is known to 1 part in 10 7 and to determine the wavelength from

Fig. 2.3.2.3. Synchrotron-radiation patterns of a mixture of Ni and ZnO powders. Diffraction pattern using a wavelength (a) slightly longer than the Ni K-absorption edge and (b) slightly shorter. (c) Highresolution energy-dispersive diffraction (EDD) pattern.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION the Bragg equation (Hart, 1981). The accuracy is then limited by the angular accuracy of the diffractometer and the orientation setting. It is necessary to monitor the monochromatic beam intensity I0 , which changes during the recording due to decreasing storage-ring current, orbital shifts or other factors. This can be done by inserting a low-absorbing ionization chamber in the beam or by using a scintillation counter to measure scattering from an inclined thin beryllium foil, kapton or other lowabsorbing material. The data are recorded and used to correct the observed intensities. The monitored counts can also be used as a timer for step scanning if a suf®cient number are recorded for good counting statistics. The entrance slit ES determines the irradiated specimen length, which is equal to ES=sin s . Vertical parallel slits VPS with  ' 2 are used to limit the axial divergence. The longer the distance between the specimen and detector, the smaller the asymmetry, and a vacuum path should be used to avoid airabsorption losses. The specimen may be used in either re¯ection or transmission simply by rotating it 90 around the diffractometer axis from its previous position. The diffracted beam can be de®ned by a receiving slit (Parrish, Hart & Huang, 1986), horizontal parallel slits HPS [Fig. 2.3.2.4(a)] (Parrish & Hart, 1985) or a high-quality singlecrystal plate which acts as a very narrow receiving slit [Fig. 2.3.2.4(b)] (Cox, Hastings, Thomlinson & Prewitt, 1983; Hastings et al., 1984). If a receiving slit is used, the intensity, pro®le width and shape are determined by the widths of both ES and RS. If either one is much wider than the other, the pro®le has a ¯at top. Increasing the RS width and keeping ES constant causes symmetrical pro®le broadening and increases the intensity as in conventional focusing diffractometry. There are disadvantages in using a receiving slit because the intensities are low and

it causes the same specimen-surface-displacement and transparency errors as the focusing geometries. A set of horizontal parallel (Soller) slits is advantageous because of the much higher intensity and it eliminates the displacement errors. The pro®les of specimens without broadening effects have the same FWHM as the aperture of the slits, equation (2.3.1.7). The FWHM increases as tan  due to wavelength dispersion. By increasing the length of the foils and keeping the same spacing, the aperture can be reduced to increase the resolution without large loss of intensity. A set of 365 mm long slits with 0.05 aperture has been used and even smaller apertures are feasible. Longer slits decrease the ¯uorescence intensity (if any) reaching the detector. They must be carefully made and aligned to avoid loss of intensity and should be evacuated or ®lled with He to avoid air-absorption losses. The use of a crystal analyser eliminates ¯uorescence and gives the highest resolution powder pro®les with FWHM ˆ 0:02 to 0.05 2, depending on the quality of the crystal (Hastings et al., 1984). The alignment of the crystal is critical and must be done with remote automated control every time the wavelength is changed. Displacement aberrations are eliminated but the intensity is much lower than the HPS because of the small rocking angle and low integrated re¯ectivity of the crystal. The correct orientation of crystalline powder particles for re¯ection is far more restrictive for the parallel beam than the X-ray tube divergent beam. A much smaller number of particles will have the exact orientation for re¯ection, and thus the recorded intensity will be lower and relative intensities less accurate. If the specimen is stationary, the standard deviations of the intensities due to particle size are six to nine times higher than in focusing methods (Parrish, Hart & Huang, 1986). It also becomes more dif®cult to achieve the completely randomly oriented specimens required for structure determination and quantitative analysis and, as in X-ray tube data, a preferredorientation term is included in the structure re®nement. It is, therefore, essential to use small particles < 10 mm and to rotate the specimen. Some investigators prefer to oscillate the specimen over a small angle but this is not as effective as rotation. The pro®les are virtually symmetrical except at small angles where axial divergence causes asymmetry. The pro®les in Fig. 2.3.2.5 show the differences in the shape and resolution obtained with conventional focusing (a) and parallel-beam synchrotron methods (b). The effect of the higher resolution on a mixture of nearly equal volumes of quartz, orthoclase, and feldspar recorded with X-ray tube focusing methods is shown in Fig. 2.3.2.5(c) and with synchrotron radiation in Fig. 2.3.2.5(d). The symmetry and nearly constant simple instrument function make it easier to separate overlapping re¯ections and simplify the pro®le-®tting procedures and the interpretation of specimenbroadening effects. The early crystal-structure studies using Rietveld re®nement were not as successful with X-ray tube focusing methods as they were with neutron diffraction because the complicated instrument function made pro®le ®tting dif®cult and inaccurate. The development of synchrotron powder methods with simple symmetrical instrument function, high resolution, and the use of longer wavelengths to increase the dispersion have made structural studies as successful as with neutrons, and have the advantage of orders-of-magnitude higher intensity. Some examples are described by Att®eld, Cheetham, Cox & Sleight (1988), Lehmann, Christensen, FjellvaÊg, Feidenhans'l & Nielsen (1987), and ab initio structure determinations by

Fig. 2.3.2.4. (a) Optics of dispersive parallel-beam method for synchrotron X-rays. C1 primary-beam collimator, D1 diffractometer for channel monochromator CM, C2 antiscatter shield, Be beryllium foil for monitor, SC1 and SC2 scintillation counters, ES entrance slit on powder diffractometer D2, VPS vertical parallel slits to limit axial divergence, HPS horizontal parallel slits, which determine the resolution. (b) CM in nondispersive setting and crystal analyser A used as a narrow receiving slit. (c) Fibre specimen FS with receiving slit RS or with position-sensitive detector (not shown) with RS removed.

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES McCusker (1988), Cernik et al. (1991), Morris, Harrison, Nicol, Wilkinson & Cheetham (1992), and others. Structures have also been solved using a two-stage method in which the integrated intensities are determined by pro®le ®tting the individual re¯ections and used in a powder least-squares re®nement method (POWLS) (Will, Bellotto, Parrish & Hart, 1988). The method was tested with silicon, which gave R(Bragg) 0.7%, and quartz, which gave 1.6%, which is a good test of the high quality of the experimental data and the pro®le-®tting procedure. Fig. 2.3.2.6 shows Fourier maps of orthorhombic Mg2 GeO4 calculated using Fourier coef®cients taken directly from the pro®le-®tting intensities. Other types of powder studies have been carried out successfully. For example, these have been used in anomalousscattering studies (Will, Masciocchi, Hart & Parrish, 1987; Will, Masciocchi, Parrish & Hart, 1987), Warren±Averbach pro®le-broadening analysis (Huang, Hart, Parrish & Masciocchi, 1987), studies of texture in thin ®lms (Hart, Parrish & Masciocchi, 1987), and precision lattice-parameter determination (Hart, Cernik, Parrish & Toraya, 1990).

2.3.2.2. Cylindrical specimen, 2 scan The ¯at specimen can be replaced by a thin cylindrical [Fig. 2.3.2.4(c)] specimen as used in powder cameras. The powder can be coated on a thin ®bre or reactive materials can be forced into a capillary to avoid contact with air. The intensity is lower than for ¯at specimens because of the smaller beam, and less powder is required. Thompson, Cox & Hastings (1987) used the method to determine the structure of Al2 O3 by Rietveld re®nement. They used a two-crystal incident-beam Si(111) monochromator; the ®rst crystal was ¯at and the second a cylindrically bent triangular plate for sagittal focusing to form a 4  2 mm beam with spectral bandwidth
l=l ' 10 3 .

Fig. 2.3.2.5. Comparison of patterns obtained with a conventional focusing diffractometer (a) and (c), and synchrotron parallel-beam method (b) and (d). (a) and (b) quartz powder pro®les; (c) and (d) mixture of equal amounts of quartz, orthoclase, and feldspar.

Fig. 2.3.2.6. (a) and (c) Fourier maps of orthorhombic Mg2 GeO4 calculated directly from pro®le-®tted synchrotron powder data. (b) Fourier section of isostructural Mg2 SiO4 calculated from singlecrystal data for comparison with (a).

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION 2.3.2.4. High-resolution energy-dispersive diffraction

The method can also be used with a receiving slit or positionsensitive detectors (Lehmann et al., 1987; Shishiguchi, Minato & Hashizume, 1986). The latter can be a short straight detector, which can be scanned to increase the data-collection speed (GoÈbel, 1982), or a longer curved detector.

By step scanning the channel monochromator instead of the specimen, a different wavelength reaches the specimen at each step and the pattern is a plot of intensity versus wavelength or energy (Parrish & Hart, 1985, 1987). The X-ray optics can be the same as described in Subsection 2.3.2.1 and determines the resolution. A scintillation counter with conventional electronic circuits can be used. As in the conventional white-beam energy-

2.3.2.3. Grazing-incidence diffraction In conventional focusing geometry, the specimen and detector are coupled in ±2 relation at all 2's to avoid defocusing and pro®le broadening. In Seemann±Bohlin geometry, changing the specimen position necessitates realigning the diffractometer and very small incidence angles are inaccessible. In parallel-beam geometry, the specimen and detector positions can be uncoupled without loss of resolution. This freedom makes possible the use of different geometries for new applications. The specimen can be set at any angle from grazing incidence to slightly less than 2, and the detector scanned. Because the incident and exit angles are unequal, the relative intensities may differ by small amounts from those of the ±2 scan due to specimen absorption. The re¯ections occur from differently oriented crystallites whose planes are inclined (rather than parallel) to the specimen surface so that particle statistics becomes an important factor. The method is thus similar to Seemann±Bohlin but without focusing. The method can be used for depth-pro®ling analysis of polycrystalline thin ®lms using grazing-incidence diffraction (GID) (Lim, Parrish, Ortiz, Bellotto & Hart, 1987). If the angle of incidence i is less than the critical angle of total re¯ection c , Ê of the ®lm. diffraction occurs only from the top 35 to 60 A Comparison of the GID pattern with a conventional ±2 pattern in which the penetration is much greater gives structural information for phase identi®cation as a function of ®lm depth. The intrinsic pro®le shapes are the same in the two patterns and broadening may indicate smaller particle sizes. However, if the ®lm is epitaxic or highly oriented, it may not be possible to obtain a GID pattern. For i < c , the penetration depth t0 is (Vineyard, 1982) t0 ' l=‰2…c2

i2 †1=2 Š

Fig. 2.3.2.7. Penetration depth t0 as a function of grazing-incidence angle  for -Fe2 O3 thin ®lm. The critical angle of total re¯ection c is shown by the vertical arrows for different wavelengths.

…2:3:2:1†

and, for i > c , t0 ' 2i =;

…2:3:2:2†

where  is the linear absorption coef®cient. The thinnest top layer of the ®lm that can be sampled is determined by the ®lm density, which may be less than the bulk value. As i approaches c , the penetration depth increases rapidly and ®ne control becomes more dif®cult. Fig. 2.3.2.7 shows this relation and the advantage of using longer wavelengths for a wider range of penetration control. For example, for a ®lm with  ˆ 200 cm 1 , Ê contribute, and Ê , and i ˆ 0:1 , only the top 45 A l ˆ 1:75 A  Ê . The patterns increasing i to 0.35 increases the depth to 130 A have much lower intensity than a ±2 scan because of the smaller diffracting volume. Ê polycrystalline ®lm of Fig. 2.3.2.8 shows patterns of a 5000 A iron oxide deposited on a glass substrate and recorded with (a) ±2 scanning and (b) 0.25 GID. The ®lm has preferred orientation as shown by the numbers above the peaks in (a), which are the relative intensities of a random powder sample. The relative intensities are different because in (a) they come from planes oriented parallel to the surface and in (b) the planes are inclined. The glass scattering that is prominent in (a) is absent in (b) because the beam does not penetrate to the substrate.

Fig. 2.3.2.8. Synchrotron diffraction patterns of annealed 5000 AÊ iron Ê , (a) ±2 scan; relative intensities of random oxide ®lm, l ˆ 1:75 A powder sample shown above each re¯ection. (b) Grazing incidence pattern of same ®lm with  ˆ 0:25 showing only re¯ections from top Ê of ®lm, superstructure peak S.S. and -Fe2 O3 peaks not seen in 60 A (a). Absolute intensity is an order of magnitude lower than (a).

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES to 22:7 keV) and four detector 2 settings. At small 2 settings, only the large d's are recorded and the peak separation is large. Increasing the 2 setting decreases the d range and the separation of the peaks as shown in Fig. 2.3.2.9(e). These patterns were recorded with the pulse-height analyser set to discriminate only against scintillation counter noise. For given X-ray optics, the pro®les symmetrically broaden with decreasing X-ray photon energy and with . This type of broadening remains symmetrical if E is increased and 2 decreased, or vice versa, Fig. 2.3.2.9… f †. The two pro®les shown have been broadened by the X-ray optics but the intrinsic resolution is far better. The number of points recorded per pro®le thus decreases with decreasing pro®le width since
M is constant. At the higher energies, it may be desirable to use smaller
M steps to increase the number of points to de®ne better the pro®le. Alternatively, increments in sin  steps rather than  steps would eliminate this variation. Many electronic solid-state devices use thin ®lms that are purposely prepared to have single-crystal structure (e.g. epitaxic growth), or with a selected lattice plane oriented parallel or normal to the ®lm surface to enhance certain properties. The properties vary with the degree of orientation and textural characterization is essential to make the correct ®lm preparation. Preferred orientation can be detected by comparing the relative intensities of the thin-®lm pattern with those of a random powder. The pattern can be recorded with conventional ±2 scanning (l ®xed) or by EDD. However, this only gives information on the planes oriented parallel to the surface. To study inclined planes requires uncoupling the specimen surface and detector angles. This can be done with the EDD method described above without distorting the pro®les (Hart et al., 1987). The principle of the method is illustrated in Fig. 2.3.2.10. The set of lattice planes (hkl) oriented parallel to the surface has its highest intensity in the symmetric ±2 position. Rotating the specimen by an angle r while keeping 2 ®xed reduces the intensity of (hkl) and brings another set of planes (pqr), which are inclined to the surface, to its symmetrical re¯ecting position. The required rotation is determined by the interplanar angle between (hkl) and (pqr). The angular distribution of any plane can be measured with respect to the ®lm surface by step scanning at small r steps. The specimen is rotated clockwise with the limitation s ‡ r < 2. A computer automation program is desirable for large numbers of measurements. Fig. 2.3.2.3(c) shows the appearance of a pattern of a specimen containing elements with absorption edges in the recording range and using electronic discrimination only against electronic noise. Starting at the incident high-energy side, the Zn and Ni K ¯uorescence increases as the energy approaches the edges …l3 law), decreases abruptly when the energy crosses each edge, and disappears beyond the Ni K edge. Long-wavelength ¯uorescence is absorbed in the windows and air path.

dispersive diffraction (EDD) described in Section 2.5.1, the specimen and detector remain ®xed at selected angles during the recording. This makes it possible to design special experiments that would not be possible with specimen-scanning methods. It also simpli®es the design of specimen-environment chambers for high and low temperatures. The advantages of the method over conventional EDD are the order-of-magnitude higher resolution that can be controlled by the X-ray optics, the ability to handle high peak count rates with a high-speed scintillation counter and conventional circuits, and much lower count times for good statistical accuracy. The accessible range of d's that can be recorded using a selected wavelength range is determined by the 2 setting of the detector. Changing 2 causes the separation of the peaks to expand or compress in a manner similar to a variation of l in conventional diffractometry. This is illustrated in Figs. 2.3.2.9(a)±(d) for a quartz powder specimen using an Si(111) Ê , 6.1 channel monochromator and M ˆ 19 to 5 (2.04 to 0:55 A

Fig. 2.3.2.9. (a)±(d) High-resolution energy-dispersive diffraction patterns of quartz powder sample obtained with 2 settings shown in upper left corners. (e) d range as a function of detector 2 setting Ê . … f † Effect of 2 setting and E on pro®le widths of for l ˆ 0:4 to 2 A quartz. Right: 121 re¯ection, 20 2, Ep 10:45 keV; left: 100 re¯ection, 45 2, ep 8.35; both re¯ections broadened by X-ray optics and peak intensity of 100 twice that of 121.

Fig. 2.3.2.10. Specimen orientation for symmetric re¯ection (a) from (hkl) planes and (b) specimen rotated r for symmetric re¯ection from (pqr) planes.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION The method is of doubtful use for structure determination or quantitative analysis. The wide range of wavelengths, continually varying absorption and pro®le widths, and other factors create a major dif®culty in deriving accurate values of the relative intensities. Conventional energy-dispersive diffraction methods using white X-rays and a solid-state detector are described in Chapter 2.5 and Section 5.2.7.

and they include bibliographies on special handling problems. Powder diffraction standards for angle and intensity calibration are described in Section 5.2.9. 2.3.3.1.1. Preferred orientation Preferred orientation changes the relative intensities from those obtained with a randomly oriented powder sample. It occurs in materials that have good cleavage or a morphology that is platy, acicular or any special shape in which the particles tend to orient themselves in specimen preparation. The micas and clay minerals are examples of materials that exhibit very strong preferred orientation. When they are prepared as re¯ection specimens, the basal re¯ections dominate the pattern. It is common in prepared thin ®lms where preferred orientation occurs frequently or may be purposely induced to enhance certain optical, electrical, or magnetic properties for electronic devices. By comparison of the relative intensities with the random powder pattern, the degree of preferred orientation can be observed. Powder re¯ections take place from crystallites oriented in different ways in the instrument geometries as shown in Fig. 2.3.1.2. In re¯ection specimen geometry with ±2 scanning, re¯ections can occur only from lattice planes parallel to the surface and in the transmission mode they must be normal to the surface. In the Seemann±Bohlin and ®xed specimen with 2 scanning methods, the orientation varies from parallel to about 45 inclination to the surface. The effect of preferred orientation can be seen in diffraction patterns obtained by using the same specimen in the different geometries. The effect is illustrated in Fig. 2.3.3.1 for m-chlorobenzoic acid, C7 H5 ClO2 , with re¯ection and transmission patterns and the pattern calculated from the crystal structure. The degree of preferred orientation is shown by comparing the peak intensities of four re¯ections in the three patterns:

2.3.3. Specimen factors, angle, intensity, and pro®le-shape measurement The basic experimental procedure in powder diffraction is the measurement of intensity as a function of scattering angle. The pro®le shapes and 2 angles are derived from the observed intensities and hence the counting statistical accuracy has an important role. There is a wide range of precision requirements depending on the application and many factors are involved: instrument factors, counting statistics, pro®le shape, and particle-size statistics of the specimen. The quality of the specimen preparation is often the most important factor in determining the precision of powder diffraction data. D. K. Smith and colleagues (see, for example, Borg & Smith, 1969; see also Yvon, Jeitschko & PartheÂ, 1977) developed a method for calculating theoretical powder patterns from well determined single-crystal structures and have made available a Fortran program (Smith, Nichols & Zolensky, 1983). This has important uses in powder diffraction studies because it provides reference data with correct I's and d's, free of sample defects, preferred orientation, statistical errors, and other factors. The data can be displayed as recorded patterns by using plot parameters corresponding to the experimental conditions (Subsection 2.3.3.9). Calculated patterns have been used in a large variety of studies such as identi®cation standards, computing intermediate members of an isomorphous series, testing structure models, ordered and disordered structures, and others. Many experiments can be performed with simulated patterns to plan and guide research. The method must be used with some care because it is based on the small single crystal used in the crystalstructure determination and the large powder samples of minerals and ceramics, for example, may have a different composition. Errors in the structure analysis are magni®ed because the powder intensities are based on the squares of the structure factors. The Lorentz and polarization factors for diffractometry geometry have been discussed by Ladell (1961) and Pike & Ladell (1961). Smith & Snyder (1979) have developed a criterion for rating the quality of powder patterns; see also de Wolff (1968a).

(hkl) Re¯ection Transmission Calculated

(200) 0.6 0.5 6.6

(040) 1.6 0.7 4.0

(121) 2.5 9.3 9.1.

Care is required to make certain the differences are not caused by a few fortuitously oriented large particles. Various methods have been used to minimize preferred orientation in the specimen preparation (Calvert, Sirianni, Gainsford & Hubbard, 1983; Smith & Barrett, 1979; Jenkins et al., 1986; Bish & Reynolds, 1989). These include using small particles, loading the powder from the back or side of the specimen holder, and cutting shallow grooves to roughen the surface. The powder has also been sifted directly on the surface of a microscope slide or single-crystal plate that has been wetted with the binder or petroleum jelly. Another method is to mix the powder with an inert amorphous powder such as Lindemann glass or rice starch, or add gum arabic, which after setting can be reground to obtain irregular particles. Any additive reduces the intensity and the peak-to-background ratio of the pattern. A promising method that requires a considerable amount of powder is to mix it with a binder and to use spray drying to encapsulate the particles into small spheres which are then used to prepare the specimen (Smith, Snyder & Brownell, 1979). Preferred orientation would not cause a serious problem in routine identi®cation providing the reference standard had a similar preferred orientation and both patterns were obtained with the same diffractometer geometry. However, when accurate values of the relative intensities are required, as in crystal-

2.3.3.1. Specimen factors Ideally, the specimen should contain a large number of small equal-sized randomly oriented particles. The surface must be ¯at and smooth to avoid microabsorption effects, i.e. particle interferences which reduce the intensities of the incident and re¯ected beams and can lead to signi®cant errors (Cline & Snyder, 1983). The specimen should be homogeneous, particularly if it is a mixture or if a standard has been added. Low packing density and specimen-surface displacement …x2:3:1:1:6† may cause signi®cant errors. It is recommended that the powder and the prepared specimen be examined with a low-power binocular optical microscope. Smith & Barrett (1979), Jenkins, Fawcett, Smith, Visser, Morris & Frevel (1986), and Bish & Reynolds (1989) have surveyed methods of specimen preparation 60

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(120) 9.8 5.2 3.0

2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES Table 2.3.3.1. Preferred-orientation data for silicon

structure re®nement and quantitative analysis, it may be the major factor limiting the precision. In practice, it is very dif®cult to prepare specimens that have a completely random orientation. Even materials that do not have good cleavage or special morphological forms, such as quartz and silicon, show small deviations from a completely random orientation. These show up as errors in the structure re®nement and a correction factor is required. An empirical correction factor determined by the acute angle ' between the preferred-orientation plane and the diffracting plane (hkl)

hkl

R(Bragg) (%)

GP

111 220 311

1.86 2.02 2.01

0.11 0.11 0.17

4 0 0

0.86

0.15

3 4 5 5 4 6 5

1.73 2.43 1.36 2.44 1.69 1.25 2.40

0.19 0.04 0.19 0.08 0.19 0.29 0.04

3 2 1 3 4 2 3

1 2 1 1 2 0 3

* Selected preferred orientation plane.

Table 2.3.3.2. R(Bragg) values obtained with different preferred-orientation formulae R(Bragg)

No corrections Gaussian Exponential March/Dollase Preferred-orientation plane

Si

SiO2

3.50 1.65 0.75 0.75 100

2.57 1.60 1.83 1.64 211

I…corr:† ˆ I…hkl†P…hkl†'

Mg2 GeO4 12.5 5.71 5.30 4.87 100

…2:3:3:1†

can be used (Will et al., 1988). Three functions have been used to represent P…hkl†' and the term GP is the variable re®ned: P…hkl†' ˆ exp… GP'2 †

…2:3:3:2†

(Rietveld, 1969) for transmission specimens; P…hkl†' ˆ exp‰GP…=2

'2 †Š

…2:3:3:3†

for re¯ection specimens; and P…hkl†' ˆ …GP2 cos2 ' ‡ sin2 '=GP†

…2:3:3:4†

(Dollase, 1986). These functions are quite similar for small amounts of nonrandomness. The preferred-orientation plane is selected by trial and error. For example, a modi®ed fast routine of the powder least-squares re®nement program with only seven cycles of re®nement on each plane for the ®rst dozen allowed Miller indices can be used to ®nd the plane that gives the lowest R(Bragg) value as shown in Table 2.3.3.1. All three functions improve the R(Bragg) value as shown in Table 2.3.3.2 but the evidence is not conclusive as to which is the best. More research is required in this area. Several specimens made of the same material may show different preferred-orientation planes, and in some cases the preferred-orientation plane never occurred in the crystal morphology. A more complicated method examines the polar-axis density distribution using a cubic harmonic expansion to describe the crystallite orientation of a rotating sample (JaÈrvinen, Merisalo, Pesonen & Inkinen, 1970; Ahtee, Nurmela, Suortti & JaÈrvinen, 1989; JaÈrvinen, 1993).

Fig. 2.3.3.1. Differences in relative intensities due to preferred orientation as seen in synchrotron X-ray patterns of m-chlorobenzoic acid obtained with a specimen in re¯ection and transmission compared with calculated pattern. Peaks marked  are impurities, O absent in experimental patterns.

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3=2

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION Slow rotation,  1=7 r min 1 , shows the variation of the peak intensity with azimuth angle '. The pattern repeats after 360 rotation and the magnitude of the ¯uctations increases with increasing particle sizes and resolution. There is no correlation between the ¯uctations of different re¯ections, as can be seen by comparing the 111, 220 and 311 re¯ections of the 10±20 mm specimen (lower left side) for which the incident-beam intensity was adjusted to give the same average amplitude. The horizontal lines are 10% of the average. This shows the magnitude of errors that could occur using stationary specimens. Similar particle-size effects were found using the integrated intensities derived from pro®le ®tting. The above discussion and Fig. 2.3.3.2 refer to a continuous scan. If the step-scan mode is used to collect data, it is clearly not necessary to rotate the specimen through more than one revolution at each step. The rotating specimen also averages the in-plane preferred orientation but has virtually no effect on the planes oriented parallel to the specimen surface. The slow rotation method is useful in testing the grinding and sifting stages in specimen preparation. When calibrated with known size fractions, it can be used as a rough qualitative measure of the particle sizes.

2.3.3.1.2. Crystallite-size effects In addition to pro®le broadening, which begins to appear when the crystallite sizes are < 1±2 mm, the sizes have a strong effect on the absolute and relative intensities (de Wolff, Taylor & Parrish, 1959; Parrish & Huang, 1983). The particle sizes have to be less than about 5 mm to achieve 1% reproducible relative intensities from a stationary specimen in conventional diffractometer geometry (Klug & Alexander, 1974). The statistical errors arising from the number of particles irradiated can be greatly reduced by using smaller particles and rotating the specimen around the diffraction vector. This brings many more particles into re¯ecting orientations. The particle-size effect is illustrated in Fig. 2.3.3.2 for specimens of NIST silicon standard powder 640 sifted to different size fractions. The powders were packed in a 1 mm deep cavity in a 25:4 mm diameter Al holder using 5% collodion=amyl acetate binder. They were rotated by a synchronous motor (a stepper motor can also be used) around the axis normal to the centre of the specimen surface with the detector arm ®xed at the peak position and the intensity recorded with a strip-chart. Rapid rotation,  60 r min 1 , gives the average peak intensity for all azimuths of the specimen and the small variations result only from the counting statistics. Scaling the intensities to …111† ˆ 100% for the 5±10 mm fraction, the 10±20 mm fraction is 94%, 20±30 mm 88% and > 30 mm 59%. The decrease is probably due to lower particle-packing density and increasing interparticle microabsorption. The > 5 mm fraction ˆ 95% may be due to the larger ratio of oxide coating around the particles to the mass of the particles.

2.3.3.2. Problems arising from the K doublet A common source of error arises from the K doublet which produces a pair of peaks for each re¯ection. The separation of the Cu K1 , K2 peaks increases from 0.05 at 20 2 to 1.08 at 150 2. The overlapping is also dependent on the instrument resolution and may cause errors in the peak angles and intensities when strip-chart recording or peak-search methods (described below) are used. The K1 wavelength is generally used to calculate all the d's even when the low-angle peaks are unresolved. In the region where the doublet is only slightly resolved, the apparent K1 peak angle is shifted to higher angles because of the overlapping K2 tail and similarly the peak intensities will be in error. The relative peak intensities of a re¯ection with superposed doublet compared to a resolved doublet could have an error as large as 50%. Relative peak intensities are used in the ICDD standards ®le and cause no problem because the unknowns are measured in the same way. The integrated intensity avoids this dif®culty but is impractical to use in routine identi®cation. Rachinger (1948) described a simple graphical procedure for removing K2 peaks. The method causes errors because it makes the incorrect assumption that K2 is the exact half-scale version of K1 . Ladell, Zagofsky & Pearlman (1975) developed an exact algorithm using the actual mathematical shapes observed with

Fig. 2.3.3.2. Effect of specimen rotation and particle size on Si powder intensity using a conventional diffractometer (Fig. 2.3.1.3) and Cu K. Numbers below fast rotation are the average intensities.

Fig. 2.3.3.3. Various measures of pro®le.

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES 2.3.3.4. Rate-meter/strip-chart recording

the user's diffractometer but, with line-pro®le-®tting programs now available, the K2 component can be modelled precisely along with the K1 . It is possible to isolate the K1 line when using a high-quality incident-beam focusing monochromator as described in Subsection 2.3.1.2, Fig. 2.3.1.12(b), but there may be a loss of intensity. The source size must be narrow and the focal length long enough to separate the components.

Formerly, the most common method of obtaining diffractometer data was by using a rate-meter and strip-chart recorder with the paper moving synchronously with the constant angular velocity of the scan. This simple analogue method is still used and a large fraction of the JCPDS (ICDD) ®le prior to about 1982 was obtained in this way. The method has several limitations: the data are not in the digital form required for computers, and are distorted; manual measurement of the chart takes a long time and has low accuracy. The output of the strip chart lags behind the input by an amount determined by the product of the scanning speed and the time constant of the rate-meter, including the speed of the recorder pen. The peak height is decreased and shifted in the direction of the scan causing asymmetric broadening with loss of resolution. The pro®le shape, K-doublet separation, and scan direction also contribute to distortion. When the product of the scan speed and time constant have the same value, the pro®le shapes are the same even though the total count is determined by the scan speed, Figs. 2.3.3.4(a) and (b). If the product is large, the distortion is severe (c), and very weak peaks may be lost.

2.3.3.3. Use of peak or centroid for angle de®nition The most obvious and commonly used measure of the re¯ection angle of a pro®le is the position of maximum intensities (Fig. 2.3.3.3). The midpoints of chords at various heights have often been used but their values vary with the pro®le asymmetry. Another method is to connect the midpoints of chords near the top of the pro®le and extrapolate to the peak. The computer methods using derivatives are the most accurate and fastest as described in Subsection 2.3.3.7. A more fundamental measure that uses the entire intensity distribution is the centre of gravity (or centroid) de®ned as .R R h2i ˆ 2I…2† d…2† I…2† d…2†: …2:3:3:5†

2.3.3.5. Computer-controlled automation Most diffractomers are now sold with computer automation. Older instruments can be easily upgraded by adding a stepping motor to the gear-drive shaft. A large variety of computers and programs is available, and it is not easy to make the best selection. Continuing improvements in computer technology have been made to handle expanded programs with increased speed and storage capabilities. The collected data are displayed on a VDU screen and/or computer printer and stored on hard disk or diskette for later use and analysis. Microprocessors are often used to select the X-ray-generator operating conditions, shutter control, specimen change, and similar tasks that were formerly performed manually. Aside from the elimination of much of the manual labour, automation provides far better control of the data-collection and data-reduction procedures. However, computers do not preclude the necessity of precise alignment and calibration. Smith (1989) has written a detailed description of computer analysis for phase identi®cation and also includes related programs and their sources. Personal computers are widely used for powder-diffraction automation and a typical arrangement is shown in Fig. 2.3.3.5(a). The automation may provide for step scanning,

The variance (mean-square deviation of the mean) is de®ned as W2 ˆ h…2 h2i†2 i .R R ˆ …2 h2i†2 I…2† d…2† I…2† d…2†:

…2:3:3:6†

The use of the centroid and variance has two important advantages: (1) most of the aberrations (x2:3:1:1:6) were derived in terms of the centroid and variance; and (2) they are additive, making it easy to determine the composite effect of a number of aberrations. Mathematically, the integration extends from 1 to ‡1 but the aberrations have a ®nite range. However, the practical use of these measures causes some dif®culty. If the pro®le shapes are Lorentzian, the tails decay slowly. A very wide range would be required to reach points where the signal could no longer be separated from the background and the pro®les must be truncated for the calculation. Truncation limits that have been used are 90% ordinate heights of K1 (Ladell, Parrish & Taylor, 1959), and equal 2 or l limits from the centroid (Taylor, Mack & Parrish, 1964; Langford, 1982). The limits such as 21 and 22 in Fig. 2.3.3.3 must be carefully chosen to avoid errors and this involves the correct determination of the background level. It is not practical to use centroids for overlapping peak clusters unless the pro®le ®tting can accurately resolve the individuals with their correct positions and intensities. Their use has, therefore, been con®ned to simple patterns with small unit cells in which the pro®les were well separated. The difference between the angle derived from the peak and the centroid depends on the asymmetry of the pro®le, which in turn varies with the K-doublet separation and the aberration broadening. Tournarie (1958) found that the centre of a horizontal chord at 60.6% of the K1 peak height corresponds well to the centroid of that line in fairly well resolved doublets. The number, of course, depends on the pro®le shape. There is also the basic problem that most of the X-ray wavelengths were probably determined from the spectral peaks and, if the centroids are measured for the powder pattern, the Bragg equation becomes nonlinear in the sense that the 1:1 correspondence between l and sin  is lost.

Fig. 2.3.3.4. Rate-meter strip-chart recordings. REV: scan direction reversed. Scan speed and time constant shown at top.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION A typical VDU screen menu for diffractometer-operation control is shown in Fig. 2.3.3.5(b). A number of runs can be de®ned with the same or different experimental parameters to run consecutively. The run log number, date, and time are usually automatically entered and together with the comment and parameters are carried forward and recorded on the print-outs and graphics to make certain the runs are completely identi®ed. The menu is designed to prompt the operator to enter all the required information before a run can be started. Error messages appear if omissions or entry mistakes are made. There are, of course, many variations to the one shown.

continuous scanning with read-out on the ¯y, or slewing to selected angles to read particular points. Step scanning is the method most frequently used. It is essential that absolute registration and step tracking be reliably maintained for all experimental conditions. The step size or angular increment
2 and count time t at each step, and the beginning and ending angles are selectable. For a given total time available for the experiment, it usually makes no difference in the counting statistical accuracy if a combination of small or large
2 and t (within reasonable limits) is used. A minimal number of steps of the order of
2 ' 0:1 to 0.2 FWHM is required for pro®le ®tting isolated peaks. It is clear that the greater the number of steps, the better the de®nition of the pro®le shape. The step size becomes important when using pro®le ®tting to resolve patterns containing overlapped re¯ections and to detect closely spaced overlaps from the width and small changes in slopes of the pro®les. A preliminary fast run to determine the nature of the pattern may be made to select the best run conditions for the ®nal pattern. Ê Will et al. (1988) recorded a quartz pattern with 1.28 A  synchrotron X-rays and 0.01 steps to test the step-size role. The pro®le ®tting was done using all points and repeated with the omission of every second, third, and fourth point corresponding to
2 ˆ 0:02, 0.03 and 0.04 . The R(Bragg) values were virtually the same (except for 0.04 where it increased), indicating the experimental time could have been reduced by a factor of three with little loss of precision; see also Hill & Madsen (1984). Patterns with more overlapping would require smaller steps. Ideally, the steps could be larger in the background but this also requires a prior knowledge of the pattern and special programming.

2.3.3.6. Counting statistics X-ray quanta arrive at the detector at random and varying rates and hence the rules of statistics govern the accuracy of the intensity measurements. The general problems in achieving maximum accuracy in minimum time and in assessing the accuracy are described in books on mathematical statistics. Chapter 7.5 reviews the pertinent theory; see also Wilson (1980). In this section, only the ®xed-time method is described because the ®xed-count method takes too long for most practical applications. Let N be the average of N, the number of counts in a given time t, over a very large number of determinations. The spread is given by a Poisson probability distribution (if N is large) with standard deviation  ˆ N 1=2 :

…2:3:3:7†

Any individual determination of N or the corresponding counting rate n …ˆ N=t† will be subject to a proportionate error " which is also a function of the con®dence level, i.e. the probability that the result deviates less than a certain percentage from the true value. If Q is the constant determined by the con®dence level, then " ˆ Q=N 1=2 ;

…2:3:3:8†

where Q ˆ 0:67 for the probable relative error "50 (50% con®dence level) and Q ˆ 1:64 and 2.58 for the 90 and 99% con®dence levels …"90 ; "99 †; respectively. For a 1% error, N ˆ 4500, 27 000, 67 000 for "50 , "90 , "99 , respectively. Fig. 2.3.3.6 shows various percentage errors as a function of N for several con®dence levels.

Fig. 2.3.3.5. (a) Block diagram of typical computer-controlled diffractometer and electronic circuits. The monitor circuit enclosed by the dashed line is optional. HPIB is the interface bus. (b) A fullscreen menu with some typical entries.

Fig. 2.3.3.6. Percentage error as a function of the total number of counts N for several con®dence levels.

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES In practice, there is usually a background count NB . The net peak count NP‡B NB ˆ NP B is dependent on the P=B radio as well as on NP‡B and NB separately. The relative error "D of the net peak count is "D ˆ

‰…NP‡B "P‡B †2 ‡ …NN "B †2 Š1=2 ; NP B

the intensity and peak-to-background ratio are low, the computing time is much increased. Since powder patterns often contain a number of weak peaks that may not be required for the analysis, computer programs often permit the user to select a minimum peak height (MPH) and a standard deviation (SD) that the peak must exceed to be included in the data reduction. For example, MPH ˆ 1 would reject peaks less than 1% of the highest peak in the recorded pattern, and SD ˆ 4 requires the intensity to exceed the background adjacent to the peak by 4B1=2 . The number of peaks rejected depends on the intensity and peakto-background ratio as illustrated in Fig. 2.3.3.7, where the cutoff level was set at B ‡ 4B 1=2 for two recordings of the same pattern with about a 40 times difference in intensities. All visible peaks are included in the high-intensity recording and several are rejected by the cut-off level selected in the lower-intensity pattern. Before carrying out the computer calculations, it may be desirable to subtract unusual background such as is caused by a glass substrate in a thin-®lm pattern. The following method was developed using computergenerated pro®les having the same shapes as conventional diffractometer (Fig. 2.3.1.3) pro®les and adding random counting statistical noise (Huang & Parrish, 1984; Huang, 1988). The best results were obtained using the ®rst derivative …dx=dy ˆ 0† of a least-squares-®tted cubic polynomial to locate the peaks, combined with the second derivative …d2 y=dx2 ˆ minimum† of a quadratic/cubic polynomial to resolve overlapped re¯ections (Fig. 2.3.3.8). Overlaps with a separate  0:5 FWHM can be resolved and measured and the accuracy of the peak position is 0.001 for noise-free pro®les. Real pro®les with statistical noise have a precision of 0:003 to 0.02 depending on the noise level. The Savitzky & Golay (1964) method (see also Ateiner, Termonia & Deltour, 1974; Edwards & Willson, 1974) was used for smoothing and differentiation of

…2:3:3:9†

which shows that "D is similarly in¯uenced by both absolute errors NP‡B "P‡B and NB "B . The absolute standard deviation of the net peak height is P

B

2 ˆ …P‡B ‡ B2 †1=2

…2:3:3:10†

and expressed as the per cent standard deviation is P

B

ˆ

…NP‡B ‡ NB †1=2  100: NP B

…2:3:3:11†

The accuracy of the net peak measurement decreases rapidly as the peak-to-background ratio falls below 1. For example, with NB ˆ 50, the dependence of P B on P=B is P=B 0.1 1 10 100

P B (%) 205 24.5 4.9 1.43.

It is obviously desirable to minimize the background using the best possible experimental methods. 2.3.3.7. Peak search The accurate location of the 2 angle corresponding to the peak of the pro®le has been discussed in many papers (see, for example, Wilson, 1965). Computers are now widely used for data reduction, thereby greatly decreasing the labour, improving the accuracy, and making possible the use of specially designed algorithms. It is not possible to present a description of the large number of private and commercial programs. The peak-search and pro®le-®tting methods described below have been successfully used for a number of years and are representative of the results that can now be obtained. They have greatly improved the results in phase identi®cation, integrated intensity measurement, and analyses requiring precise pro®le-shape determination. It is likely that even better programs and methods will be developed in this rapidly changing ®eld. There are two levels of the types of data reduction that may be done. The easiest and most frequently used method is usually called `peak search'. It computes the 2 angles and intensities of the peaks. The results have good precision for isolated peaks but give the values of the composite overlapping re¯ections as they appear, for example, on a strip-chart recording. The calculation is virtually instantaneous and is often all that is needed for phase identi®cation, lattice-parameter determination, and similar analyses. The second, pro®le ®tting, described below, is a more advanced procedure that can resolve overlapping peaks into individual re¯ections and determines the pro®le shape, width, peak and integrated intensities, and re¯ection angle of each resolved peak. This method requires a prior knowledge of the pro®le-®tting function. It is used to determine the integrated intensities for analyses requiring higher precision such as crystalstructure re®nement and quantitative analysis, and pro®le-shape parameters for small crystallite size, microstrain and similar studies. To measure weak peaks, the counting statistical accuracy must be suf®cient to delineate the peak from the background. When

Fig. 2.3.3.7. Effect of 4 maximum peak height (horizontal line) on dropping weak peaks from inclusion in computer calculation. Step scan with (a) t ˆ 5 s and (b) t ˆ 0:1 s. Five-compound mixture, Cu K.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION The procedure is based on the least-squares ®tting of theoretical pro®le intensities to the digitized powder pattern. The pro®le intensity at the ith step is calculated by P …2:3:3:12† Y …xi †calc ˆ B…xi † ‡ Ij P…xi Tj †j ;

the data by least squares in which the values of the derivatives can be calculated using a set of tabulated integers. The convolution range CR expressed as a multiple of the FWHM of the peak can be selected. A minimum of ®ve points is required. For asymmetric peaks, such as occur at small 2's, a CR ' 0:5 FWHM gives the best precision. The larger the CR the larger the intrinsic error but the smaller the random error, and the smaller the number of peaks identi®ed in overlapping patterns. The larger CR also avoids false peaks in patterns with poor counting statistics. Fig. 2.3.3.8(c) shows the dependence of the accuracy of the peak determination on P=. The computer results list the 2's, d's, absolute and relative intensities (scaled to 100) of the identi®ed peaks. The calculation is made with a selected wavelength such as K1 and the possible K2 peaks are ¯agged.

j

where B…xi † is the background intensity, Ij is the integrated intensity of the jth re¯ection, Tj is the peak-maximum position, P…x P i †j is the pro®le function to represent the pro®le shape, and j is taken over j, in which the P…x†j has a ®nite value at xi . Unlike the Rietveld method, a structure model is not used. In the least-squares ®tting, Ij and Tj are re®ned together with background and pro®le shape parameters in P…x†j . Smoothing the experimental data is not required because it underestimates the estimated standard deviations for the least-squares parameters, which are based on the counting statistics. The experimental pro®les are a convolution of the X-ray line spectrum l and all the combined instrumental and geometrical

2.3.3.8. Pro®le ®tting Pro®le ®tting has greatly advanced powder diffractometry by making it possible to calculate the intensities, peak positions, widths, and shapes of the re¯ections with a far greater precision than had been possible with manual measurements or visual inspection of the experimental data. The method has better resolution than the original data and the entire scattering distribution is used instead of only a few features such as the peak and width. Individual pro®les and clusters of re¯ections can be ®tted, or the entire pattern as in the Rietveld method (Chapter 8.6).

Fig. 2.3.3.9. (a) Computer-generated symmetrical Lorentzian pro®le L and Gaussian G with equal peak heights, 2 and FWHM. (b) Double Gaussian GG shown as the sum of two Gaussians in which I and FWHM of G1 are twice those of G2 and 2 is constant. (c)±… f † Pro®le ®tting with different functions. Differences between experimental points and ®tted pro®le shown at one-half height. Synchrotron radiation, Si(111).

Fig. 2.3.3.8. (a) Si(220) Cu K re¯ection. (b) First (circles), second (crosses), and third (triangles) derivatives of a seven-point polynomial of data in (a). (c) Average angular deviations as a function of P= for various derivatives.

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES has the best ®t as shown by the difference curve at half-height and the lowest Rp ‰ˆ R…PF†Š value. The Pearson VII function is de®ned as

aberrations G with the true diffraction effects of the specimen S (Parrish, Huang & Ayers, 1976), i.e.

…x† ˆ …l  G†  S ‡ background:

…2:3:3:13†

P…x†PVII ˆ a‰1 ‡ …x=b†2 Š

The pro®le shapes and resolution differ in the various diffractometer geometries and there is no universal pro®le-®tting function. In conventional X-ray tube focusing methods, the pro®les are asymmetric and the shapes change continually across the scattering-angle range owing to the aberrations and the K doublet. To avoid problems caused by the K doublet, a few authors used the K line, but it has only about 1=7 the intensity. The pro®les obtained with synchrotron radiation are symmetrical and narrower, and the widths increase with increasing 2. The different shapes and rates of decay of the tails make it necessary to ®nd an analytical function that best ®ts the particular experimental pro®le. Langford (1987) and Young & Wiles (1982) have compiled and reviewed various pro®le-®tting functions and several are described below. Howard & Preston (1989) give details of the computations in their review of the method. Early pro®le analyses used Gaussian or Lorentzian (Cauchy) curves. Fig. 2.3.3.9(a) shows that the most obvious difference is the rate of decay of the tails. X-ray synchrotron pro®les lie between the two as shown in Figs. 2.3.3.9(c)±… f †. The function must ®t the tails as well as the main body and single-element functions are generally unsatisfactory. The Voigt function is a convolution of Lorenzian (L) and Gaussian (G) functions of different widths: R …2:3:3:14† P…x†V ˆ L…x†G…x u† du;

V

ˆ L…x† ‡ …1

†G…x†;

…2:3:3:15†

where  is the ratio of Lorentz to Gauss and they have the same widths. The re®ned  and width of the full ®tted pro®le can be related by a polynomial expansion (Hastings, Thomlinson & Cox, 1984; David, 1986; Cox, Toby & Eddy, 1988) to the widths of the L and G components of the original Voigt function. It is frequently used to ®t synchrotron-radiation pro®les. In the particular case shown in Figs. 2.3.3.9(c)±… f †, the pseudo-Voigt 67

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;

…2:3:3:16†

where m is a re®nable parameter based on the G=L content (for m ˆ 1, the curve is 100% Lorentzian and for m ˆ 1 it is 100% Gaussian), and 1=b ˆ 2‰21=m 1Š1=2 =W , where W is the FWHM. The peak asymmetry can be incorporated into the pro®le function in several ways. One is to multiply (or add) the symmetrical pro®le function with an asymmetric function (Rietveld, 1969). Another is to dispose two or three functions asymmetrically (Parrish, Huang & Ayers, 1976). A third is to use a split-type function, consisting of two pro®le functions, each of which de®nes one-half the total peak, i.e. the low- or highangle sides of the peak and each has different pro®le widths and shapes but the same height (Toraya, Yoshimura & Somiya, 1983; Howard & Snyder, 1983). Some other functions that have been used include the double Gaussian [Fig. 2.3.3.9(b)] for low-resolution synchrotron data (Will, Masciocchi, Parrish & Hart, 1987), a Gaussian with shifted Lorentzian component to account for the asymmetry on the low-2 side of the tail (Will, Masciocchi, Parrish & Lutz, 1990), pro®le modelling of single isolated peaks with a rational function, e.g. the ratio of two polynomials (Pyrros & Hubbard, 1983). In contrast to these analytical-type functions, some empirical functions have been developed. They are the `learned' (experimental) peak-shape function (Hepp & Baerlocher, 1988) and the direct ®tting of experimental data represented by Fourier series (Mortier & Constenoble, 1973). The sum of Lorentzians has been used for X-ray tube focusing pro®les (Parrish & Huang, 1980; Taupin, 1973). The instrument function …l  G† is determined (see below) by a sum of Lorentzian curves, three each for K1 and K2 and one for the weak K3 satellite. Three Lorentzians were used to match the asymmetry although a greater or lesser number could be used depending on the pro®le symmetry. Each curve has three parameters (intensity, half-width at half-height, and peak position) and the 21 parameters are adjusted by the computer program to give the best ®t to the experimental data, which may contain 150 to 300 points. This is done only once for each particular instrument set-up. After …l  G† is determined, the pro®le ®tting is easy and fast because only the specimen contribution S must be convoluted with …l  G†. If the specimen has no asymmetric broadening other than …l  G†, S can be approximated by a single symmetrical Lorentzian for each re¯ection; a split Lorentzian can be used if there is asymmetric broadening. A function can be tested using isolated pro®les of a standard specimen such as silicon, tungsten, quartz, and others which have 2:5 A

2.3.5.4.2. Single and balanced ®lters Single ®lters to remove the K lines are also used, but better results are generally obtained with a crystal monochromator. The following description provides the basic information on the use of ®lters if monochromators are not used. A single thin ®lter made of, or containing, an element that has an absorption edge of wavelength just less than that of the K1 , K2 doublet will absorb part of that doublet but much more of the K line and part of the white radiation, as shown in Fig. 2.3.5.3. The relative transmission throughout the spectrum depends on the ®lter element and its thickness. A ®lter may be used to modify the X-ray spectral distribution by suppressing certain radiations for any of several reasons: (1) lines. -line intensity need be reduced only enough to avoid overlaps and dif®culties in identi®cation in powder work. 78

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2.3. POWDER AND RELATED TECHNIQUES: X-RAY TECHNIQUES Table 2.3.5.3. Calculated thickness of balanced ®lters for common target elements

usually absorbed in the air path or counter-tube window and, hence, are not observed. When using vacuum or helium-path instruments and low-absorbing detector windows, the longerwavelength ¯uorescence spectra may appear. When specimen ¯uorescence is present, the position of the ®lter may have a marked effect on the background. If placed between the X-ray tube and specimen, the ®lter attenuates a portion of the primary spectrum just below the absorption edges of the elements in the specimen, thereby reducing the intensity of the ¯uorescence. When placed between the specimen and counter tube, the ®lter absorbes some of the ¯uorescence from the specimen. The choice of position will depend on the elements of the X-ray tube target and specimen. If the ®lter is placed after the specimen, it is advisable to place it close to the specimen to minimize the amount of ¯uorescence from the ®lter that reaches the detector. The ¯uorescence intensity decreases by the inverse-square law. Maximizing the distance between the specimen and detector also reduces the specimen ¯uorescence intensity detected for the same reason. If the ®lter is to be placed between the X-ray tube and specimen, the ®lter should be close to the tube to avoid ¯uorescence from the ®lter that might be recorded. It is sometimes useful to place the ®lter over only a portion of the ®lm in powder cameras to facilitate the identi®cation of the lines. If possible, the X-ray tube target element should be chosen so that its ®lter also has a high absorption for the specimen X-ray ¯uorescence. For example, with a Cu target and Cu specimen, the continuum causes a large Cu K ¯uorescence that is transmitted by an Ni ®lter; if a Co target is used instead, the Cu K ¯uorescence is greatly decreased by an Fe K ®lter. A second ®lter may be useful in reducing the ¯uorescence background. For example, with a Ge specimen, the continuum from a Cu target causes strong Ge K ¯uorescence, which an Ni ®lter transmits. Addition of a thin Zn ®lter improves the peak=background ratio …P=B† of the Cu K with only a small Ê ; Zn K-absorption reduction of peak intensity (Ge K, l ˆ 1:25 A Ê edge, l ˆ 1:28 A). X-ray background is also caused by scattering of the entire primary spectrum with varying ef®ciency by the specimen. The ®lter reduces the background by an amount dependent on its absorption characteristics. When using pulse-amplitude discrimination and specimens whose X-ray ¯uorescence is weak, the remaining observed background is largely due to characteristic line radiation. The ®lter then usually reduces the background and the K radiation by roughly the same amount and P=B is not changed markedly regardless of the position of the ®lter.

Target material Ag Mo Mo Cu Ni Co Fe Cr

Pd Zr Zr Ni Co Fe Mn V

Mo Sr Y Co Fe Mn Cr Ti

(A) Thickness mm g cm 0.0275 0.0392 0.0392 0.0100 0.0094 0.0098 0.0095 0.0097

3

0.033 0.026 0.026 0.0089 0.0083 0.0077 0.0071 0.0059

(B) Thickness mm g cm 0.039 0.104 0.063 0.0108 0.0113 0.0111 0.0107 0.0146

2

0.040 0.027 0.028 0.0095 0.0089 0.0083 0.0077 0.0066

The ®lter is sometimes used instead of black paper or Al foil to screen out visible and ultraviolet light. Filters in the form of pure thin metal foils are available from a number of metal and chemical companies. They should be checked with a bright light source to make certain they are free of pinholes. The balanced-®lter technique uses two ®lters that have absorption edges just above and just below the K1 , K2 wavelengths (Ross, 1928; Young, 1963). The difference between intensities of X-ray diffractometer or ®lm recordings made with each ®lter arises from the band of wavelengths between the absorption edges, which is essential that of the K1 , K2 wavelengths. The thicknesses of the two ®lters should be selected so that both have the same absorption for the K wavelength. Table 2.3.5.3 lists the calculated thicknesses of ®lter pairs for the common target elements. The (A) ®lter was chosen for a 67% transmission of the incident K intensity, and only pure metal foils are used. Adjustment of the thickness is facilitated if the foil is mounted in a rotatable holder so that the ray-path thickness can be varied by changing the inclination of the foil to the beam. Although the two ®lters can be experimentally adjusted to give the same K intensities, they are not exactly balanced at other wavelengths. The use of pulse-amplitude discrimination to remove most of the continuous radiation is desirable to reduce this effect. The limitations of the method are (a) the dif®culties in adjusting the balance of the ®lters, (b) the band-pass is much wider that that of a crystal monochromator, and (c) it requires two sets of data, one of which has low intensity and consequently poor counting statistics.

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Filter pair (A) (B)

International Tables for Crystallography (2006). Vol. C, Chapter 2.4, pp. 80–83.

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION

2.4. Powder and related techniques: electron and neutron techniques By J. M. Cowley and A. W. Hewat

diameter. For these reasons, the methods for phase identi®cation from electron diffraction patterns and the corresponding databases (see Subsection 2.4.1.6) are increasingly concerned with single-crystal spot patterns in addition to powder patterns. Instrument manufacturers usually provide values of camera lengths, L, or camera constants, Ll, for a wide range of designated lens-current settings. It is advisable to check these calibrations with samples of known structure and to determine calibrations for non-standard lens settings. The effective camera length, L, is dependent on the specimen height within the objective-lens pole-piece. If a specimen-height adjustment (a z-lift) is provided, it should be adjusted to give a predetermined lens current, and hence focal length, of the objective lens. In some microscopes, at particular lens settings the projector lenses may introduce a radial distortion of the diffraction pattern. This may be measured with a suitable standard specimen.

2.4.1. Electron techniques (By J. M. Cowley) 2.4.1.1. Powder-pattern geometry The electron wavelengths normally used to obtain powder patterns from thin ®lms of polycrystalline materials lie in Ê (20 to 200 kV accelerating the range 8  10 2 to 2  10 2 A voltages). The maximum scattering angles (2B ) observed are usually less than 10 1 rad. Patterns are usually recorded on ¯at photographic plates or ®lms and a small-angle approximation is applied. For a camera length L, the distance from the specimen to the photographic plate in the absence of any intervening electron lenses, the approximation is made that, for a diffraction ring of radius r, l=d ˆ 2 sin  ' tan 2 ˆ r=L; or the interplanar spacing, d, is given by d ˆ Ll=r:

…2:4:1:1†

For a scattering angle of 10 1 rad, the error in this expression is 0.5%. A better approximation, valid to better than 0.1% at 10 1 rad, is d ˆ …Ll=r†…1 ‡ 3r 2 =8L2 †:

2.4.1.3. Preferred orientations The techniques of specimen preparation may result in a strong preferred orientation of the crystallites, resulting in strong arcing of powder-pattern rings, the absence of some rings, and perturbations of relative intensities. For example, small crystals of ¯aky habit deposited on a ¯at supporting ®lm may be oriented with one reciprocal-lattice axis preferentially perpendicular to the plane of the support. A ring pattern obtained with the incident beam perpendicular to the support then shows only those rings for planes in the zone parallel to the preferred axis. Such orientation is detected by the appearance of arcing and additional re¯ections when the supporting ®lm is tilted. Tilted specimens give the so-called oblique texture patterns which provide a rich source of threedimensional diffraction information, used as a basis for crystal structure analysis. A full discussion of the texture patterns resulting from preferred orientations is given in Section 2.5.3 of IT B (1993).

…2:4:1:2†

The `camera constant' Ll may be obtained by direct measurement of L and the accelerating voltage if there are no electron lenses following the specimen. Direct electronic recording of intensities has great advantages over photographic recording (Tsypursky & Drits, 1977). In recent years, electron diffraction patterns have been obtained most commonly in electron microscopes with three or more post-specimen lenses. The camera-constant values are then best obtained by calibration using samples of known structure. With electron-optical instruments, it is possible to attain collimations of 10 6 rad so that for scattering angles of 10 1 rad an accuracy of 10 5 in d spacings should be possible in principle but is not normally achievable. In practice, accuracies of about 1% are expected. Some factors limiting the accuracy of measurement are mentioned in the following sections. The small-angle-scattering geometry precludes application of any of the special camera geometries used for high-accuracy measurements with X-rays (Chapter 2.3).

2.4.1.4. Powder-pattern intensities In the kinematical approximation, the expression for intensities of electron diffraction follows that for X-ray diffraction with the exception that, because only small angles of diffraction are involved, no polarization factor is involved. Following Vainshtein (1964), the intensity per unit length of a powder line is

2.4.1.2. Diffraction patterns in electron microscopes The specimens used in electron microscopes may be selfsupporting thin ®lms or ®ne powders supported on thin ®lms, usually made of amorphous carbon. Specimen thicknesses Ê in order to avoid perturbations must be less than about 103 A of the diffraction patterns by strong multiple-scattering effects. The selected-area electron-diffraction (SAED) technique [see Section 2.5.1 in IT B (1993)] allows sharply focused Ê diffraction patterns to be obtained from regions 103 to 105 A in diameter. For the smaller ranges of selected-area regions, specimens may give single-crystal patterns or very spotty ring paterns, rather than continuous ring patterns, because the number of crystals present in the ®eld of view is small unless Ê or less. By use of the crystallite size is of the order of 100 A the convergent-beam electron-diffraction (CBED) technique, diffraction patterns can be obtained from regions of diameter Ê [see Section 2.5.2 in IT B (1993)] or, in the case of 100 A Ê in some specialized instruments, regions less than 10 A

I…h† ˆ J0 l

2 h

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…2:4:1:3†

where J0 is the incident-beam intensity, h is the structure factor, is the unit-cell volume, V is the sample volume, and M is the multiplicity factor. The kinematical approximation has limited validity. The deviations from this approximation are given to a ®rst approximation by the two-beam approximation to the dynamical-scattering theory. Because an averaging over all orientations is involved, the many-beam dynamical-diffraction effects are less evident than for single-crystal patterns. 80

Copyright © 2006 International Union of Crystallography

2 dh2 M V 4Ll ;

2.4. POWDER AND RELATED TECHNIQUES: ELECTRON AND NEUTRON TECHNIQUES By integrating the two-beam intensity expression over excitation error, Blackman (1939) obtained the expression for the ratio of dynamical to kinematical intensities: Idyn =Ikin ˆ Ah 1

RAh 0

J0 …2x† dx;

giving very broad rings, it is possible to use the method, commonly applied for diffraction by gases, of performing a Fourier transform to obtain a radial distribution function (Goodman, 1963).

…2:4:1:4†

2.4.1.5. Crystal-size analysis The methods used in X-ray diffraction for the determination of average crystal size or size distributions may be applied to electron diffraction powder patterns. Except in the case of very small crystal dimensions, several factors peculiar to electrons should be taken into consideration. (a) Unless energy ®ltering is used to remove inelastically scattered electrons, a component is added to the rings broadened by the effects of inelastic scattering involving electronic excitations. Since the mean free paths for such processes are Ê and the angular spread of the scattered of the order of 103 A electrons is 10 3 to 10 4 rad, the ring broadening for thick samples may be equivalent to the broadening for a crystal size of Ê. the order of 100 A (b) When a powder sample consists of separated crystallites having faces not predominantly parallel or perpendicular to the incident beam, the diffraction rings may be appreciably broadened by refraction effects. The refractive index for electrons is given, to a ®rst approximation, by

where Jo …x† is the zero-order Bessel function, Ah ˆ Hh with the interaction constant  ˆ 2mel=h2 , and H is the crystal thickness. Careful measurements on ring patterns from thin aluminium ®lms by Horstmann & Meyer (1962) showed agreement with the `Blackman curve' [from equation (2.4.1.4)] to within about 5% with some notable exceptions. Deviations of up to 40 to 50% from the Blackman curve occurred for several re¯ections, such as 222 and 400, which are second-order re¯ections from strong inner re¯ections. A practical algorithm for implementing Blackman corrections has been published by Dvoryankina & Pinsker (1958). Such deviations result from plural-beam systematic interactions, the coherent multiple scattering between different orders of a strong inner re¯ection. When the Bragg condition is satis®ed for one order, the excitation errors for the other orders are the same for all possible crystal orientations and these other orders contribute systematically to the ring-pattern intensities. A correction for the effects of systematic interactions may be made by use of the Bethe second approximation (Bethe, 1928) (see Chapter 8.8). For non-systematic re¯ections, corresponding to reciprocallattice points not collinear with the origin and the reciprocallattice point of interest, the averaging over all crystal orientations ensures that the powder-pattern intensity calculated from the two-beam formula will not be appreciably affected. Appreciable effects from non-systematic interactions may, however, occur when the averaging is over a limited range of crystal orientations, as in the case of strong preferred orientations. It was shown theoretically by Turner & Cowley (1969) and experimentally by Imamov, Pannhorst, Avilov & Pinsker (1976) that appreciable modi®cations of intensities of oblique-texture patterns may result from non-systematic interactions for particular tilt angles, especially for heavy-atom materials [see also Avilov, Parmon, Semiletov & Sirota (1984)]. The techniques for the measurement of electron diffraction intensities are described in Chapter 7.2. Most commonly electron diffraction powder patterns are recorded by photographic methods and a microdensitometer is used for quantitative intensity measurement. The Grigson scanning method, using a scintillator and photomultiplier to record intensities as the pattern is scanned over a ®ne slit, has considerable advantages in terms of linearity and range of the intensity scale (Grigson, 1962). This method also has the advantage that it may readily be combined with an energy ®lter so that only elastically scattered electrons (or electrons inelastically scattered with a particular energy loss) may be recorded. Small-angle electron diffraction may give useful information in some cases, but must be interpreted carefully because the features may result from multiple scattering or other artefacts. It may give additional details of periodicity (super-periods) and deviations of the real symmetry from the ideal symmetry suggested by other data. Care must be taken with the interpretation of additional re¯ections, as they may relate to the structure of small regions that are not typical of the bulk specimens such as are examined by X-ray diffraction. The techniques for interpretation of electron diffraction powder-pattern intensities follow those for X-ray patterns when the kinematical approximation is valid. For very small crystals,

n ˆ 1 ‡ 0 =2E; where 0 is the mean inner potential of the crystal, typically 10 to 20 V, and E is the accelerating voltage of the incident electron beam. For the beam passing through the two faces of a 90 wedge, each at an angle  ˆ 45 to the beam, for example, the beam is de¯ected by an amount
ˆ 0 =E ˆ 1:5  10

rad

for an inner potential of 15 V and E ˆ 100 kV. The broadening of the ring by such de¯ections can correspond to the broadening Ê. due to a particle size of l=2
' 120 A For crystallites of regular habit, such as the small cubic crystals of MgO smoke, the ring broadening from this source is strongly dependent on the crystallographic planes involved (Sturkey & Frevel, 1945; Cowley & Rees, 1947; Honjo & Mihama, 1954). For more isometric crystal shapes, this dependence is less marked and the broadening has been estimated (Cowley & Rees, 1947) as equivalent to that due to Ê. a particle size of about 200 A 2.4.1.6. Unknown-phase identi®cation: databases To a limited extent, the compilations of data for X-ray diffraction, such as the ICDD Powder Diffraction File, may be used for the identi®cation of phases from electron diffraction data. The nature of the electron diffraction data and the circumstances of its collection have prompted the compilation of databases speci®cally for use with electron diffraction. Factors taken into consideration include the following. (a) Because of the increasing use of single-crystal patterns obtained in the SAED mode in an electron microscope, the use of single-crystal spot patterns, in addition to powder patterns, must be considered for purposes of identi®cation. Methods for the analysis of single-crystal patterns are summarized in Section 5.4.1. (b) The deviations from kinematical scattering conditions may be large, especially for single-crystal patterns, so that little reliance can be placed on relative intensities, and re¯ections kinematically forbidden may be present. 81

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4

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION (c) Compositional information may be obtained by use of X-ray microanalysis (or electron-energy-loss spectroscopy) performed in the electron microscope and this provides an effective additional guide to identi®cation. (d) Electron diffraction data often extend to smaller d spacings than X-ray data because there is no wavelength limitation. (e) The electron diffraction d-spacing information is rarely more precise than 1% and the uncertainty may be 5% for large d spacings. With these points in mind, databases specially designed for use with electron diffraction have been developed. The NIST/ Sandia/ICDD Electron Diffraction Database follows the design principles of Carr, Chambers, Melgaard, Himes, Stalick & Mighell (1987). The 1993 version contains crystallographic and chemical information on over 81 500 crystalline materials with, in most cases, calculated patterns to ensure that diagnostic highd-spacing re¯ections can be matched. It is available on magnetic tape or ¯oppy disks. The MAX-d index (Anderson & Johnson, 1979) has been expanded to 51 580 NSI-based entries (Mighell, Himes, Anderson & Carr, 1988) in book form for manual searching.

¯ux on the sample can be increased with a focusing monochromator, the sample volume by using large sample-detector distances or Soller collimators, and the detector solid angle by using a large multidetector. The focusing monochromator is usually made from horizontal strips of pyrolytic graphite or squashed germanium mounted on a vertically focusing plate 100 to 300 mm high. A large beam can thus be focused on a sample up to 50 mm high. Vertical divergence of 5 or more can be tolerated even for a highresolution machine; the peak width is only increased (and made asymmetric) far from scattering angles of 90 , where most of the peaks occur. The effect is in any case purely geometrical, and can readily be included in the data analysis (Howard, 1982). To increase the wavelength spread
l=l, and hence intensity, monochromator mosaic can be large (200 ) even for high resolution, since all wavelengths are focused back into the primary-beam direction at scattering angles equal to the monochromator take-off angle (Fig. 2.4.2.1). Ê ) are favoured, to spread Rather long wavelengths (1.5 to 3 A out the pattern, and to reduce the total number of re¯ections excited (increasing their average intensity). Data must then be collected at large scattering angles with good resolution to obtain suf®ciently small d spacings, and this implies a large take-off angle. A graphite ®lter to remove l=2 and higher-order contamination is a popular choice for a primary wavelength of Ê (Loopstra, 1966). Since germanium re¯ections such as hhl 2.4 A with h, l ˆ 2n ‡ 1 do not produce l=2 contamination, a ®lter is Ê with not needed for primary wavelengths below about 1.6 A high-take-off-angle geometry, but is still necessary for longer wavelengths. The multidetector can be an array of up to 64 individual detectors and Soller collimators for a high-resolution machine (Hewat & Bailey, 1976; Hewat, 1986a), or a position-sensitive detector (PSD) for a high-¯ux machine (Allemand et al., 1975). Gas-®lled (3 He or BF3 ) detectors are usual, though scintillator and other types of solid-state detector are increasingly used; the PSD may be either a single horizontal wire with positiondetection logic comparing the signals obtained at either end, or an array of vertical wire detectors within a common gas envelope. The vertical aperture of the single-wire detector seriously limits the ef®ciency of what is otherwise a very cheap solution, and of course large angular ranges cannot be covered by a single straight wire. The vertical aperture should match the vertical divergence from the monochromator ( 5 ). Composite detectors can be constructed by stacking elements both vertically to increase the aperture, and horizontally to increase the angular range. Construction of a wide-angle (160 ) multiwire detector is dif®cult and expensive, but a solid angle of more than 0.1 sr may be obtained. The solid angle for a collimated multidetector, even if it covers 160 , may be less than 0.01 sr. The sample volume limits the resolution of the PSD, since the detector resolution 3 (typically 0.2 ) is the mean of the element width and the sample diameter (typically 5 mm) divided by the sample-to-detector distance (typically 1500 mm). For a Soller collimator, 3 can be as little as 50 , and does not depend on the sample volume, which can be large (20 mm diameter) even for high resolution. The PSD also requires special precautions to avoid background from the sample environment, while the collimated machine can handle dif®cult sample environments, especially for scattering near 90 . The de®nition of the detector is the number of data points per degree. For pro®le analysis, unless the peak shape is well known a priori, about ®ve points are needed per re¯ection half-width, which is more than usually available from a multiwire PSD.

2.4.2. Neutron techniques (By A. W. Hewat) Neutrons have advantages over X-rays for the re®nement of crystal structures from powder data because systematic errors (Wilson, 1963) are smaller, and the absence of a form factor means that information is available at small d spacings. It is also easy to collect data at very low or high temperature; examining the structure as a function of temperature (or pressure) is much more useful than simply obtaining `the' crystal structure at STP (standard temperature and pressure). In some cases, `kinetics' measurements at intervals of only a few seconds are needed to follow chemical reactions. A neutron powder diffractometer need not separate all of the Bragg peaks, since complex patterns can be analysed by Rietveld re®nement (Rietveld, 1969), but high resolution will increase the information content of the pro®le, and permit the re®nement of larger and more complex structures. Doubling the unit-cell volume doubles the number of Bragg peaks, requiring higher resolution, but also halves the average peak intensity. Resolution must not then be obtained at the expense of well de®ned line shape, essential for pro®le analysis, nor at the expense of intensity. Two types of diffractometer are required in practice: a highresolution machine with data-collection times of a few hours (or days) for Rietveld structure re®nement, and a high-¯ux machine with data-collection times of a few seconds (or minutes) for kinetics measurements. In both cases, the data-collection rate depends on the product of the ¯ux on the sample, the sample volume, and the solid angle of the detector (Hewat, 1975). The

Fig. 2.4.2.1. Schematic drawing of the high-resolution neutron powder diffractometer D2B at ILL, Grenoble.

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2.4. POWDER AND RELATED TECHNIQUES: ELECTRON AND NEUTRON TECHNIQUES For this focusing geometry, the different wavelengths l ‡
l, re¯ected at different angles from the monochromator, are brought back parallel to the primary beam, and the line width becomes simply the convolution of the primary and detector collimations 1 and 3 :

However, a PSD may be scanned to increase the pro®le de®nition. The minimum scan angle is clearly the angle between elements, from 0.2 for a PSD to 2.5 or more for a multidetector in steps of from 0.025 to 0.1 . If larger scans are performed, it is most convenient to reduce the data to a single pro®le by averaging the counts from different detector elements at each point in the pro®le, after correcting for relative ef®ciencies and angular separations. The resolution, of either machine, should be no better than really necessary for a particular sample: additional resolution merely reveals problems with sample perfection and line shape, making Rietveld re®nement dif®cult, and of course reducing effective intensity. In any case, resolution is ultimately limited by the powder particle size and strain broadening (Hewat, 1975). Ê is the effective size of As an order of magnitude, if D = 1000 A the perfect crystallites that make up a much larger (1 to 10 mm) Ê , the best powder grain, then for lattice spacing d ˆ 1 A resolution that one can hope to obtain is of the order
d=d ˆ d=D ˆ 10 3 , corresponding to a line width of
…2† ' 0:1 . A few more perfect materials (usually those for which single crystals can be grown!) will produce higherresolution patterns, but then primary extinction may not be negligible. It is not even necessary to have the best possible resolution for all d spacings: ideally, the resolution should be proportional to the density of lines, and this increases with the surface area of the Ewald sphere of radius 1=d. Then we want
d=d ˆ d 2 or
…2† ˆ l2 = sin 2. This has a minimum near 2 ˆ 90 . In fact, the full width at half-height is (Cagliotti, Paoletti & Ricci, 1958)


2 …2† ˆ 21 ‡ 23 : The collimators 1 and 3 should then be equal and small. Such ®ne collimators are now made routinely from gadolinium oxidecoated stretched plastic foil (Carlile, Hey & Mack, 1977). The collimator 2 should simply be large enough to pass all wavelengths re¯ected by the mosaic spread of the monochromator, i.e. 2 ' 2 . Neutron crystallographers have been reluctant to use large take-off angles because they seem to imply greatly reduced beam intensity. Indeed, large M means small waveband
l=l since
l=l ˆ
d=d ˆ
…M † cot M ˆ cot M . However,
l=l and therefore beam intensity can be recovered simply by increasing . This has no effect on the resolution at focusing, but it does increase the line width at low angles where there are few lines. When large d spacings are needed, for example for magnetic structures, it is best for both resolution and intensity to retain the same high take-off geometry and increase the wavelength to bring these lines closer to the focusing angle. A large take-off angle also gives a large choice of high-index re¯ections and Ê! wavelengths up to 6 A A ®xed take-off angle greatly simpli®es machine design: the multidetector collimation 3 is also necessarily ®xed, but the single primary collimator 1 can readily be changed. It is useful to have a second choice, much larger than 3 , to boost intensity for poor samples or exploratory data collection. The resolution at low angles, largely determined by (or 2 ), is not much affected by increasing 1 . Finally, the machine should be designed around the sample environment, since this is one of the strengths of neutron powder diffraction. There is no point in building a neutron machine with superb resolution and intensity (these can much more readily be obtained with X-rays) if it cannot produce precise results for the kind of experiments of most interest ± those for which it is dif®cult to use any other technique (Hewat, 1986b).


2 …2† ˆ U tan2  ‡ V tan  ‡ W : The parameters U, V, and W are functions of the monochromator mosaic spread and collimation, from which it follows that the minimum in
…2† occurs for scattering angles 2 ' 2M . The monochromator take-off angle should then be at least 90 ; in practice, since
2 …2† increases quadratically with tan  for angles larger than this focusing angle, the monochromator takeoff should be even greater than 90 . A value of 120 to 135 is recommended.

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International Tables for Crystallography (2006). Vol. C, Chapter 2.5, pp. 84–88.

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION

2.5. Energy-dispersive techniques

By B. Buras, W. I. F. David, L. Gerward, J. D. Jorgensen and B. T. M. Willis 2.5.1. Techniques for X-rays (By B. Buras and L. Gerward) X-ray energy-dispersive diffraction, XED, invented in the late sixties (Giessen & Gordon, 1968; Buras, Chwaszczewska, Szarras & Szmid 1968), utilizes a primary X-ray beam of polychromatic (`white') radiation. XED is the analogue of whitebeam and time-of-¯ight neutron diffraction (cf. Section 2.5.2). In the case of powdered crystals, the photon energy (or wavelength) spectrum of the X-rays scattered through a ®xed optimized angle is measured using a semiconductor detector connected to a multichannel pulse-height analyser. Single-crystal methods have also been developed. 2.5.1.1. Recording of powder diffraction spectra In XED powder work, the incident- and scattered-beam directions are determined by slits (Fig. 2.5.1.1). A powder spectrum is shown in Fig. 2.5.1.2. The Bragg equation is 2d sin 0 ˆ l ˆ hc=E;

…2:5:1:1a†

where d is the lattice-plane spacing, 0 the Bragg angle, l and E the wavelength and the photon energy, respectively, associated with the Bragg re¯ection, h is Planck's constant and c the velocity of light. In practical units, equation (2.5.1.1a) can be written Ê sin 0 ˆ 6:199: E…keV† d…A†

…2:5:1:1b†

The main features of the XED powder method where it differs from standard angle-dispersive methods can be summarized as follows: (a) The incident beam is polychromatic. (b) The scattering angle 20 is ®xed during the measurement but can be optimized for each particular experiment. There is no mechanical movement during the recording. (c) The whole energy spectrum of the diffracted photons is recorded simultaneously using an energy-dispersive detector. The scattering angle is chosen to accommodate an appropriate number of Bragg re¯ections within the available photon-energy range and to avoid overlapping with ¯uorescence lines from the sample and, when using an X-ray tube, characteristic lines from the anode. Overlap can often be avoided because a change in the scattering angle shifts the diffraction lines to new energy positions, whereas the ¯uorescence lines always appear at the same energies. Severe overlap problems may be encountered when the sample contains several heavy elements. The detector aperture usually collects only a small fraction of the Debye±Scherrer cone of diffracted X-rays. The

Fig. 2.5.1.1. Standard and conical diffraction geometries: 20 ˆ ®xed scattering angle. At low scattering angles, the lozenge-shaped sample volume is very long compared with the beam cross sections (after HaÈusermann, 1992).

collection of an entire cone of radiation greatly increases the intensities. Also, it makes it possible to overcome crystallite stratistics problems and preferred orientations in very small samples (Holzapfel & May, 1982; HaÈusermann, 1992). 2.5.1.2. Incident X-ray beam (a) Bremsstrahlung from an X-ray tube Bremsstrahlung from an X-ray diffraction tube provides a useful continuous spectrum for XED in the photon-energy range 2±60 keV. However, one has to avoid spectral regions close to the characteristic lines of the anode material. A tungsten anode is suitable because of its high output of white radiation having no characteristic lines in the 12±58 keV range. A drawback of Bremsstrahlung is that its spectral distribution is dif®cult to measure or calculate with accuracy, which is necessary for a structure determination using integrated intensities [see equation (2.5.1.7)]. Bremsstrahlung is strongly polarized for photon energies near the high-energy limit, while the low-energy region has a weak polarization. The direction of polarization is parallel to the direction of the electron beam from the ®lament to the anode in the X-ray tube. Also, the polarization is dif®cult to measure or calculate. (b) Synchrotron radiation Synchrotron radiation emitted by electrons or positrons, when passing the bending magnets or insertion devices, such as wigglers, of a storage ring, provides an intense smooth spectrum for XED. Both the spectral distribution and the polarization of the synchrotron radiation can be calculated from the parameters of the storage ring. Synchrotron radiation is almost fully polarized in the electron or positron orbit plane, i.e. the horizontal plane, and inherently collimated in the vertical plane. Full advantage of these features can be obtained using a vertical scattering plane. However, the mechanical construction of the diffractometer, the placing of furnaces, cryogenic equipment, etc. are easier to handle when the X-ray scattering is recorded in the horizontal plane. Recent XED facilities at synchrotron-radiation sources have been described by Besson & Weill (1992), Clark (1992), HaÈusermann (1992), Olsen (1992), and Otto (1997).

Fig. 2.5.1.2. XED powder spectrum of BaTiO3 recorded with synchrotron radiation from the electron storage ring DORIS at DESY-HASYLAB in Hamburg, Germany. Counting time 1 s. Escape peaks due to the Ge detector are denoted by e (from Buras, Gerward, Glazer, Hidaka & Olsen, 1979).

84 Copyright © 2006 International Union of Crystallography 85 s:\ITFC\ch-2-5.3d (Tables of Crystallography)

2.5. ENERGY-DISPERSIVE TECHNIQUES 2.5.1.3. Resolution The momentum resolution in energy-dispersive diffraction is limited by the angular divergence of the incident and diffracted X-ray beams and by the energy resolution of the detector system. The observed pro®le is a convolution of the pro®le due to the angular divergence and the pro®le due to the detector response. For resolution calculations, it is usually assumed that the pro®les are Gaussian, although the real pro®les might exhibit geometrical and physical aberrations (Subsection 2.5.1.5). The relative full width at half-maximum (FWHM) of a diffraction peak in terms of energy is then given by E=E ˆ ‰…en =E†2 ‡ 5:546F"=E ‡ …cot 0
0 †2 Š1=2 ;

…2:5:1:2†

where en is the electronic noise contribution, F the Fano factor, " the energy required for creating an electron±hole pair (cf. Subsection 7.1.5.1), and
0 the overall angular divergence of the X-ray beam, resulting from a convolution of the incident- and the diffracted-beam pro®les. For synchrotron radiation,
0 can usually be replaced by the divergence of the diffracted beam because of the small divergence of the incident beam. Fig. 2.5.1.3 shows E=E as a function of Bragg angle 0 . The curves have been calculated from equations (2.5.1.1) and (2.5.1.2) for two values of the lattice-plane spacing and two values of
0 , typical for Bremsstrahlung and synchrotron radiation, respectively. It is seen that in all cases E=E decreases with decreasing angle (i.e. increasing energy) to a certain minimum and then increases rapidly. It is also seen that the minimum point of the E=E curve is lower for the small d value and shifts towards smaller 0 values for decreasing
0 . Calculations of this kind are valuable for optimizing the Bragg angle for a given sample and other experimental conditions (cf. Fukamachi, Hosoya & Terasaki, 1973; Buras, Niimura & Olsen, 1978). The relative peak width at half-height is typically less than 1% for energies above 30 keV. When the observed peaks can be ®tted with Gaussian functions, one can determine the centroids of the pro®les by a factor of 10±100 better than the E=E value of equation (2.5.1.2) would indicate. Thus, it should be possible to achieve a relative resolution of about 10 4 for high energies. A resolution of this order is required for example in residual-stress measurements. The detector broadening can be eliminated using a technique where the diffraction data are obtained by means of a scanning crystal monochromator and an energy-sensitive detector (Bourdillon, Glazer, Hidaka & Bordas, 1978; Parrish & Hart, 1987). A low-resolution detector is suf®cient because its function (besides recording) is just to discriminate the monochromator harmonics. The Bragg re¯ections are not measured simultaneously as in standard XED. The monochromator-scan method can be useful when both a ®xed scattering angle (e.g. for samples in special environments) and a high resolution are required.

evaluated at the energy of the diffraction peak, V the irradiated sample volume, Nc the number of unit cells per unit volume, j the multiplicity factor, F the structure factor, and Cp …E; 0 ) the polarization factor. The latter is given by P…E† sin2 20 Š;

Cp …E; 0 † ˆ 12 ‰1 ‡ cos2 20

…2:5:1:4†

where P…E† is the degree of polarization of the incident beam. The de®nition of P…E† is P…E† ˆ

i0;p …E† i0;n …E† ; i0 …E†

…2:5:1:5†

where i0;p …E† and i0;n …E† are the parallel and normal components of i0 …E† with respect to the plane de®ned by the incident- and diffracted-beam directions. Generally, Cp …E; 0 † has to be calculated from equations (2.5.1.4) and (2.5.1.5). However, the following special cases are sometimes of interest: P ˆ 0:

Cp …0 † ˆ 12 …1 ‡ cos2 20 † 2

…2:5:1:6a†

P ˆ 1:

Cp …0 † ˆ cos 20

…2:5:1:6b†

Pˆ

Cp ˆ 1:

…2:5:1:6c†

1:

Equation (2.5.1.6a) can often be used in connection with Bremsstrahlung from an X-ray tube. The primary X-ray beam can be treated as unpolarized for all photon energies when there is an angle of 45 between the plane de®ned by the primary and the diffraced beams and the plane de®ned by the primary beam and the electron beam of the X-ray tube. In standard con®gurations, the corresponding angle is 0 or 90 and equation (2.5.1.6a) is generally not correct. However, for 20 < 20 it is correct to within 2.5% for all photon energies (Olsen, Buras, Jensen, Alstrup, Gerward & Selsmark, 1978). Equations (2.5.1.6b) and (2.5.1.6c) are generally acceptable approximations for synchrotron radiation. Equation (2.5.1.6b) is used when the scattering plane is horizontal and (2.5.1.6c) when the scattering plane is vertical. The diffraction directions appear as generatrices of a circular cone of semi-apex angle 20 about the direction of incidence. Equation (2.5.1.3) represents the total power associated with this

2.5.1.4. Integrated intensity for powder sample The kinematical theory of diffraction and a non-absorbing crystal with a `frozen' lattice are assumed. Corrections for thermal vibrations, absorption, extinction, etc. are discussed in Subsection 2.5.1.5. The total diffracted power, Ph , for a Bragg re¯ection of a powder sample can then be written (Buras & Gerward, 1975; Kalman, 1979) Ph ˆ hcre2 VNc2 ‰i0 …E†jd 2 jFj2 Šh Cp …E; 0 † cos 0
0 ;

…2:5:1:3†

where h is the diffraction vector, re the classical electron radius, i0 …E† the intensity per unit energy range of the incident beam

Fig. 2.5.1.3.Relative resolution, E=E, as function of Bragg angle, 0 , Ê and (b) 0.5 A Ê . The for two values of the lattice plane spacing: (a) 1 A full curves have been calculated for
0 ˆ 10 3 , the broken curves for
0 ˆ 10 4 .

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION cone. Generally, only a small fraction of this power is recorded by the detector. Thus, the useful quantity is the power per unit length of the diffraction circle on the receiving surface, Ph0 . At a distance r from the sample, the circumference of the diffraction circle is 2r sin 20 and one has (constants omitted) Ph0 / r 1 VNc2 ‰i0 …E†jd 2 jFj2 Šh

Cp …E; 0 †
0 : sin 0

…2:5:1:7†

The peak areas in an XED powder spectrum are directly proportional to the Ph0 of equation (2.5.1.7). Quantitative structural analysis requires the knowledge of i0 …E† and P…E†. As mentioned above, these quantities are not known with suf®cient accuracy for Bremsstrahlung. For synchrotron radiation they can be calculated, but they will nevertheless contribute to the total uncertainty in the analysis. Accordingly, XED is used rather for identi®cation of a known or assumed structure than for a full structure determination. 2.5.1.5. Corrections (a) Temperature effects The effect of thermal vibrations on the integrated intensities is expressed by the Debye±Waller factor in the same way as for standard angle-dispersive methods. Notice that …sin †=l ˆ 1=2d irrespective of the method used. The contribution of the thermal diffuse scattering to the measured integrated intensities can be calculated if the elastic constants of the sample are known (Uno & Ishigaki 1975). (b) Absorption The transmission factor A…E; 0 ) for a small sample bathed in the incident beam and the factor Ac …E; 0 † for a large sample intercepting the entire incident beam are the same as for monochromatic methods (Table 6.3.3.1). However, when they are applied to energy-dispersive techniques, one has to note that the absorption corrections are strongly varying with energy. In the special case of a symmetrical re¯ection where the incident and diffracted beams each make angles 0 with the face of a thick sample (powder or imperfect crystal), one has Ac …E† ˆ

1 ; 2…E†

…2:5:1:8†

where …E† is the linear attentuation coef®cient evaluated at the energy associated with the Bragg re¯ection. (c) Extinction and dispersion Extinction and dispersion corrections are applied in the same way as for angle-dispersive monochromatic methods. However, in XED, the energy dependence of the corrections has to be taken into account. (d) Geometrical aberrations These are distortions and displacements of the line pro®le by features of the geometry of the apparatus. Axial aberrations as well as equatorial divergence contribute to the angular range
0 of the Bragg re¯ections. There is a predominance of positive contributions to
0 , so that the diffraction maxima are slightly displaced to the low-energy side, and show more tailing on the low-energy side than the high-energy side (Wilson, 1973). (e) Physical aberrations Displacements due to the energy-dependent absorption and re¯ectivity of the sample tend to cancel each other if the incident intensity, i0 …E†, can be assumed to be constant within the energy range of Bragg re¯ection. With synchrotron radiation, i0 …E†

varies rapidly with energy and its in¯uence on the peak positions should be checked. Also, the detector response function will in¯uence the line pro®le. Low-energy line shapes are particularly sensitive to the deadlayer absorption, which may cause tailing on the low-energy side of the peak. Integrated intensities, measured as peak areas in the diffraction spectrum, have to be corrected for detector ef®ciency and intensity losses due to escape peaks. 2.5.1.6. The Rietveld method The Rietveld method (see Chapter 8.6) for re®ning structural variables has only recently been applied to energy-dispersive powder data. The ability to analyse diffraction patterns with overlapping Bragg peaks is particularly important for a lowresolution technique, such as XED (Glazer, Hidaka & Bordas, 1978; Buras, Gerward, Glazer, Hidaka & Olsen, 1979; Neuling & Holzapfel, 1992). In this section, it is assumed that the diffraction peaks are Gaussian in energy. It then follows from equation (2.5.1.7) that the measured pro®le yi of the re¯ection k at energy Ei corresponding to the ith channel of the multichannel analyser can be written yi ˆ

Ei †2 =Hk2 Šg; …2:5:1:9†

0

where c is a constant, i0 …Ei † is evaluated at the energy Ei , and Hk is the full width (in energy) at half-maximum of the diffraction peak. A…Ei † is a factor that accounts for the absorption in the sample and elsewhere in the beam path. The number of overlapping peaks can be determined on the basis of their position and half-width. The full width at half-maximum can be expressed as a linear function of energy: Hk ˆ UEk ‡ V ;

…2:5:1:10†

where U and V are the half-width parameters. 2.5.1.7. Single-crystal diffraction Energy-dispersive diffraction is mainly used for powdered crystals. However, it can also be applied to single-crystal diffraction. A two-circle system for single-crystal diffraction in a diamond-anvil high-pressure cell with a polychromatic, synchrotron X-ray beam has been devised by Mao, Jephcoat, Hemley, Finger, Zha, Hazen & Cox (1988). Formulae for single-crystal integrated intensities are well known from the classical Laue method. Adaptations to energydispersive work have been made by Buras, Olsen, Gerward, Selsmark & Lindegaard-Andersen (1975). 2.5.1.8. Applications The unique features of energy-dispersive diffraction make it a complement to rather than a substitute for monochromatic angledispersive diffraction. Both techniques yield quantitative structural information, although XED is seldom used for a full structure determination. Because of the ®xed geometry, energydispersive methods are particularly suited to in situ studies of samples in special environments, e.g. at high or low temperature and/or high pressure. The study of anomalous scattering and forbidden re¯ections is facilitated by the possibility of shifting the diffraction peaks on the energy scale by changing the scattering angle. Other applications are studies of Debye±Waller factors, determinative mineralogy, attenuation-coef®cient measurements, on-stream measurements, particle-size and -strain 86

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c0 i …E †A…Ei †jk dk2 jFk j2 expf 4 ln 2‰…Ek Hk 0 i

2.5. ENERGY-DISPERSIVE TECHNIQUES determination, and texture studies. These and other applications can be found in an annotated bibliography covering the period 1968±1978 (Laine & LaÈhteenmaÈki, 1980). The short counting time and the simultaneous recording of the diffraction spectrum permit the study of the kinetics of structural transformations in time frames of a few seconds or minutes. Energy-dispersive powder diffraction has proved to be of great value for high-pressure structural studies in conjunction with synchrotron radiation. The brightness of the radiation source and the ef®ciency of the detector system permit the recording of a diffraction spectrum with satisfactory counting statistics in a reasonable time (100±1000 s) in spite of the extremely small sample volume (10 3 ±10 5 mm3 ). Reviews have been given by Buras & Gerward (1989) and HaÈusermann (1992). Recently, XED experiments have been performed at pressures above 400 GPa, and pressures near 1 TPa may be attainable in the near future (Ruoff, 1992). At this point, it should be mentioned that XED methods have limited resolution and generally give unreliable peak intensities. The situation has been transformed recently by the introduction of the image-plate area detector, which allows angle-dispersive, monochromatic methods to be used with greatly improved resolution and powder averaging (Nelmes & McMahon, 1994, and references therein). 2.5.2. White-beam and time-of-¯ight neutron diffraction (By J. D. Jorgensen, W. I. F. David, and B. T. M. Willis) 2.5.2.1. Neutron single-crystal Laue diffraction In traditional neutron-diffraction experiments, using a continuous source of neutrons from a nuclear reactor, a narrow wavelength band is selected from the wide spectrum of neutrons emerging from a moderator within the reactor. This monochromatization process is extremely inef®cient in the utilization of the available neutron ¯ux. If the requirement of discriminating between different orders of re¯ection is relaxed, then the entire white beam can be employed to contribute to the diffraction pattern and the count-rate may increase by several orders of magnitude. Further, by recording the scattered neutrons on photographic ®lm or with a position-sensitive detector, it is possible to probe simultaneously many points in reciprocal space. If the experiment is performed using a pulsed neutron beam, the different orders of a given re¯ection may be separated from one another by time-of-¯ight analysis. Consider a short polychromatic burst of neutrons produced within a moderator. The subsequent times-of-¯ight, t, of neutrons with differing wavelengths, l, measured over a total ¯ight path, L, may be discriminated one from another through the de Broglie relationship: mn …L=t† ˆ h=l;

The origins of pulsed neutron diffraction can be traced back to the work of Lowde (1956) and of Buras, Mikke, Lebech & Leciejewicz (1965). Later developments are described by Turber®eld (1970) and Windsor (1981). Although a pulsed beam may be produced at a nuclear reactor using a chopper, the major developments in pulsed neutron diffraction have been associated with pulsed sources derived from particle accelerators. Spallation neutron sources, which are based on proton synchrotrons, allow optimal use of the Laue method because the pulse duration and pulse repetition rate can be matched to the experimental requirements. The neutron Laue method is particularly useful for examining crystals in special environments, where the incident and scattered radiations must penetrate heat shields or other window materials. [A good example is the study of the incommensurate structure of -uranium at low temperature (Marmeggi & Delapalme, 1980).] A typical time-of-¯ight single-crystal instrument has a large area detector. For a given setting of detector and sample, a threedimensional region is viewed in reciprocal space, as shown in Fig. 2.5.2.1. Thus, many Bragg re¯ections can be measured at the same time. For an ideally imperfect crystal, with volume Vs and unit-cell volume vc , the number of neutrons of wavelength l re¯ected at Bragg angle  by the planes with structure factor F is given by N ˆ i0 …l†l4 Vs F 2 =…2v2c sin2 †;

…2:5:2:1†

where mn is the neutron mass and h is Planck's constant. Ê , equation Expressing t in microseconds, L in metres and l in A (2.5.2.1) becomes t ˆ 252:7784 Ll: Inserting Bragg's law, l ˆ 2…d=n† sin , for the nth order of a Ê gives fundamental re¯ection with spacing d in A t ˆ …505:5568=n†Ld sin :

Fig. 2.5.2.1.Construction in reciprocal space to illustrate the use of multi-wavelength radiation in single-crystal diffraction. The circles with radii kmax ˆ 2=lmin and kmin ˆ 2=lmax are drawn through the origin. All reciprocal-lattice points within the shaded area may be sampled by a linear position-sensitive detector spanning the scattering angles from 2min to 2max . With a position-sensitive area detector, a three-dimensional portion of reciprocal space may be examined (after Schultz, Srinivasan, Teller, Williams & Lukehart, 1984).

…2:5:2:2†

Different orders may be measured simply by recording the time taken, following the release of the initial pulse from the moderator, for the neutron to travel to the sample and then to the detector.

where i0 …l† is the number of incident neutrons per unit wavelength interval. In practice, the intensity in equation (2.5.2.3) must be corrected for wavelength-dependent factors, such as detector ef®ciency, sample absorption and extinction, and the contribution of thermal diffuse scattering. Jauch, Schultz & Schneider (1988) have shown that accurate structural data can be obtained using the single-crystal time-of-¯ight method despite the complexity of these wavelength-dependent corrections. 2.5.2.2. Neutron time-of-¯ight powder diffraction This technique, ®rst developed by Buras & Leciejewicz (1964), has made a unique impact in the study of powders in con®ned environments such as high-pressure cells (Jorgensen & 87

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…2:5:2:3†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION Worlton, 1985). As in single-crystal Laue diffraction, the time of ¯ight is measured as the elapsed time from the emergence of the neutron pulse at the moderator through to its scattering by the sample and to its subsequent detection. This time is given by equation (2.5.2.2). Many Bragg peaks, each separated by time of ¯ight, can be observed at a single ®xed scattering angle, since there is a wide range of wavelengths available in the incident beam. A good approximation to the resolution function of a time-of¯ight powder diffractometer is given by the second-moment relationship
d=d ˆ ‰…
t=t†2 ‡ …
 cot †2 ‡ …
L=L†2 Š1=2 ;

…2:5:2:4†

where
d,
t and
 are, respectively, the uncertainties in the d spacing, time of ¯ight, and Bragg angle associated with a given re¯ection, and
L is the uncertainty in the total path length (Jorgensen & Rotella, 1982). Thus, the highest resolution is

obtained in back scattering (large 2) where cot  is small. Timeof-¯ight instruments using this concept have been described by Steichele & Arnold (1975) and by Johnson & David (1985). With pulsed neutron sources a large source aperture can be viewed, as no chopper is required of the type used on reactor sources. Hence, long ¯ight paths can be employed and this too [see equation (2.5.2.4)] leads to high resolution. For a well designed moderator the pulse width is approximately proportional to wavelength, so that the resolution is roughly constant across the whole of the diffraction pattern. For an ideal powder sample the number of neutrons diffracted into a complete Debye±Scherrer cone is proportional to N 0 ˆ i0 …l†l4 Vs jF 2 cos 
=…4v2c sin2 †

(Buras & Gerward, 1975). j is the multiplicity of the re¯ection and the remaining symbols in equation (2.5.2.5) are the same as those in equation (2.5.2.3).

88

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…2:5:2:5†

International Tables for Crystallography (2006). Vol. C, Chapter 2.6, pp. 89–112.

2.6. Small-angle techniques By O. Glatter and R. May

2.6.1. X-ray techniques (By O. Glatter)

In addition, there is a loss of information in small-angle scattering experiments caused by the averaging over all orientations in space. The three-dimensional structure is represented by a one-dimensional function ± the dependence of the scattered intensity on the scattering angle. This is also true for powder diffraction. To recover the structure uniquely is therefore impossible. The computation of the scattering function for a known structure is called the solution of the scattering problem. This problem can be solved exactly for many different structures. The inversion, i.e. the estimation of the structure of the scatterer from its scattering functions, is called the inverse scattering problem. This problem cannot be solved uniquely. The description and solution of the scattering problem gives information to the experimenter concerning the scattering functions to be expected in a special situation. In addition, this knowledge is the starting point for the evaluation and interpretation of experimental data (solution of the inverse problem). There are methods that give a rough first-order approximation to the solution of the inverse scattering problem using only a minimum amount of a priori information about the system to obtain an initial model. In order to improve this model, one has to solve the scattering problem. The resulting theoretical model functions are compared with the experimental data. If necessary, model modifications are deduced from the deviations. After some iterations, one obtains the final model. It should be noticed that it is possible to find different models that fit the data within their statistical accuracy. In order to reduce this ambiguity, it is necessary to have additional independent information from other experiments. Incorrect models, however, can be rejected when their scattering functions differ significantly from the experimental data. What type of investigations can be performed with small-angle scattering? It is possible to study monodisperse and polydisperse systems. In the case of monodisperse systems, it is possible to determine size, shape, and, under certain conditions, the internal structure. Monodispersity cannot be deduced from small-angle scattering data and must therefore be assumed or checked by independent methods. For polydisperse systems, a size distribution can be evaluated under the assumption of a certain shape for the particles (particle sizing). All these statements are strictly true for highly diluted systems where the interparticle distances are much larger than the particle dimensions. In the case of semi-dilute systems, the result of a small-angle scattering experiment is influenced by the structure of the particles and by their spatial arrangement. Then the scattering curve is the product of the particle scattering function and of the interparticle interference function. If the scattering function of one particle is known, it is possible to evaluate information about the radial distribution of these particles relative to each other. If the system is dense, i.e. if the volume fraction of the particles (scattering centres) is of the same order of magnitude as the volume fraction of the matrix, it is possible to determine these volume fractions and a characteristic length of the phases. The most important practical applications, however, pertain to dilute systems. How are small-angle scattering experiments related to other scattering experiments? Small-angle scattering uses radiation with a wavelength in the range 10 1 to 100 nm, depending on the

2.6.1.1. Introduction The purpose of this section is to introduce small-angle scattering as a method for investigation of nonperiodic systems. It should create an understanding of the crucial points of this method, especially by showing the differences from wide-angle diffraction. The most important concepts will be explained. This article also contains a collection of the most important equations and methods for standard applications. For details and special applications, one must refer to the original literature or to textbooks; the reference list is extensive but, of course, not complete. The physical principles of scattering are the same for wideangle diffraction and small-angle X-ray scattering. The electric field of the incoming wave induces dipole oscillations in the atoms. The energy of X-rays is so high that all electrons are excited. The accelerated charges generate secondary waves that add at large distances (far-field approach) to give the overall scattering amplitude. All secondary waves have the same frequency but may have different phases caused by the different path lengths. Owing to the high frequency, it is only possible to detect the scattering intensity ± the square of the scattering amplitude ± and its dependence on the scattering angle. The angle-dependent scattering amplitude is related to the electron-density distribution of the scatterer by a Fourier transformation. All this holds for both wide-angle diffraction and small-angle X-ray scattering. The main difference is that in the former we have a periodic arrangement of identical scattering centres (particles), i.e. the scattering medium is periodic in all three dimensions with a large number of repetitions, whereas in small-angle scattering these particles, for example proteins, are not ordered periodically. They are embedded with arbitrary orientation and with irregular distances in a matrix, such as water. The scattering centres are limited in size, non-oriented, and nonperiodic, but the number of particles is high and they can be assumed to be identical, as in crystallography. The Fourier transform of a periodic structure in crystallography (crystal diffraction) corresponds to a Fourier series, i.e. a periodic structure is expanded in a periodic function system. The Fourier transform of a non-periodic limited structure (small-angle scattering) corresponds to a Fourier integral. In mathematical terms, it is the expansion of a nonperiodic function by a periodic function system. So the differences between crystallography and small-angle scattering are equivalent to the differences between a Fourier series and a Fourier integral. It may seem foolish to expand a non-periodic function with a periodic function system, but this is how scattering works and we do not have any other powerful physical process to study these structures. The essential effect of these differences is that in small-angle scattering we measure a continuous angle-dependent scattering intensity at discrete points instead of sharp, point-like spots as in crystallography. Another important point is that in small-angle scattering we have a linear increase of the signal (scattered intensity) with the number of particles in the measuring volume since intensities are adding. Amplitudes are adding in crystallography, so we have a quadratic relation between the signal and the number of particles. 89 Copyright © 2006 International Union of Crystallography 90 s:\ITFC\chap2-6.3d (Tables of Crystallography)

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION phase ' is 2=l times the difference between the optical path length of the wave and an arbitrary reference wave (with l being the wavelength). The direction of the incident beam is defined by the unit vector s0 and of the scattered beam by s. The angle between these two unit vectors (scattering angle) is 2. The path difference between the rays through a point P and an arbitrary origin O is r(s s0 ). The phase is ' ˆ h
r if we define the scattering vector h as

problem and on the source used. This range is similar for X-rays and neutrons, but neutrons interact with the nuclei of the atoms whereas X-rays interact with the electrons. The scattering efficiency increases linearly with the atomic number for X-rays. The dependence is much more complicated for neutrons and does not show a systematic trend. The essential fact in neutron scattering is the pronounced difference in the scattering power between hydrogen and deuterium, which is important for varying the contrast between the particles and the matrix. The wavelength and the scattering efficiency limit the range of small-angle scattering experiments to systems in the size range of a few nanometres up to about 100 nm. Special instruments permit the study of larger particles (Bonse & Hart, 1967; Koch, 1988). These instruments need a high intensity of the primary beam (synchrotron radiation) and are not very common. Particles in the size range from 100 nm up to some micrometres can be investigated by static light-scattering techniques (Glatter, Hofer, Jorde & Eigner, 1985; Glatter & Hofer, 1988a,b; Hofer, Schurz & Glatter, 1989). Particles exceeding this limit can be seen in an optical microscope or can be studied with Fraunhofer diffraction (Bayvel & Jones, 1981). Electron microscopy is in competition with all these scattering methods. It has the marked advantage of giving real pictures with rather high resolution but it has the inherent disadvantage that the preparation may introduce artefacts. Small-angle scattering, on the other hand, is a method to study macromolecules in solution, which is a very important advantage for biological samples and for polymers. Crystallography gives more information about the particle (atomic structure) and can be applied to relatively large systems. It is possible to study particles as large as proteins and viruses if good crystals of these substances are available. The experiment needs synchrotron radiation for large molecules like proteins or viruses, i.e. access to a large research facility is necessary. Small-angle X-ray scattering with conventional generators is a typical next-door technique with the advantage of ready availability. Small-angle scattering has developed into a standard measuring method during recent decades, being most powerful for the investigation of submicrometre particles.

h ˆ …2=l†…s

We see that the amplitude A is the Fourier transform of the electron-density distribution . The intensity I…h† of the complex amplitude A…h† is the absolute square given by the product of the amplitude and its complex conjugate A , RRR 2 I…h† ˆ A…h†A…h† ˆ e …r† exp… ih
r† dV ; …2:6:1:4† where e2 …r† is the convolution square (Bracewell, 1986): RRR e2 …r† ˆ …r1 †…r1 r† dV1 : …2:6:1:5† The intensity distribution in h or reciprocal space is uniquely determined by the structure in real space. Until now, we have discussed the scattering process of a particle in fixed orientation in vacuum. In most cases of smallangle scattering, the following situation is present: ±The scatterers (particles or inhomogeneities) are statistically isotropic and no long-range order exists, i.e. there is no correlation between points at great spatial distance. ±The scatterers are embedded in a matrix. The matrix is considered to be a homogeneous medium with the electron density 0 . This situation holds for particles in solution or for inhomogeneities in a solid. The electron density in equations (2.6.1.3)±(2.6.1.5) should be replaced by the difference in electron density
 ˆ  0 , which can take positive and negative values. The average over all orientations h i leads to

In this subsection, we are concerned with X-rays only, but all equations may also be applied with slight modifications to neutron or electron diffraction. When a wave of X-rays strikes an object, every electron becomes the source of a scattered wave. All these waves have the same intensity given by the Thomson formula 1 1 ‡ cos2 2 ; a2 2

sin hr hr (Debye, 1915) and (2.6.1.4) reduces to the form hexp… ih
r†i ˆ Z1

…2:6:1:1†

I…h† ˆ 4

where Ip is the primary intensity and a the distance from the object to the detector. The factor Tf is the square of the classical electron radius (e2 =mc2 ˆ 7:90  10 26 [cm2 ]). The scattering angle 2 is the angle between the primary beam and the scattered beam. The last term in (2.6.1.1) is the polarization factor and is practically equal to 1 for all problems dealt with in this subsection. Ie should appear in all following equations but will be omitted, i.e. the amplitude of the wave scattered by an electron will be taken to be of magnitude 1. Ie is only needed in cases where the absolute intensity is of interest. The amplitudes differ only by their phases ', which depend on the positions of the electrons in space. Incoherent (Compton) scattering can be neglected for small-angle X-ray scattering. The

r 2
e2 …r†

0

sin hr dr hr

…2:6:1:6†

…2:6:1:7†

or, with p…r† ˆ r 2
e2 …r† ˆ r 2 V …r†;

…2:6:1:8†

to Z1 I…h† ˆ 4

p…r† 0

sin hr dr; hr

…2:6:1:9†

is the so-called correlation function (Debye & Bueche, 1949), or characteristic function (Porod, 1951). The function p…r† is the so-called pair-distance distribution function PDDF (Guinier & 90

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…2:6:1:2†

This vector bisects the angle between the scattered beam and the incident beam and has length h ˆ …4=l† sin . We keep in mind that sin  may be replaced by  in small-angle scattering. We now introduce the electron density …r†. This is the number of electrons per unit volume at the position r. A volume element dV at r contains (r) dV electrons. The scattering amplitude of the whole irradiated volume V is given by RRR A…h† ˆ …r† exp… ih
r† dV : …2:6:1:3†

2.6.1.2. General principles

Ie …† ˆ Ip Tf

s0 †:

2.6. SMALL-ANGLE TECHNIQUES Fournet, 1955; Glatter, 1979). The inverse transform to (2.6.1.9) is given by Z1 1 …2:6:1:10† p…r† ˆ 2 I…h†hr sin…hr† dh 2

I…0† ˆ I…
†2 V 2 ˆ 4

or by Z1 0

I…h†h2

sin hr dh: hr

0

p…r† dr;

…2:6:1:12†

i.e. the scattering intensity at h equal to zero is proportional to the area under the PDDF. From equation (2.6.1.11), we find Z 1 …2:6:1:13† V …0† ˆ 2 I…h†h2 dh ˆ V
2 2

0

1 V …r† ˆ 2 2

R1

…2:6:1:11†

(Porod, 1982), i.e. the integral of the intensity times h2 is related to the mean-square fluctuation of the electron density irrespective of the structure. We may modify the shape of a particle, the scattering function I…h† might be altered considerably, but the integral (2.6.1.13) must remain invariant (Porod, 1951).

The function p…r† is directly connected with the measurable scattering intensity and is very important for the solution of the inverse scattering problem. Before working out details, we should first discuss equations (2.6.1.9) and (2.6.1.10). The PDDF can be defined as follows: the function p…r† gives the number of difference electron pairs with a mutual distance between r and r ‡ dr within the particle. For homogeneous particles (constant electron density), this function has a simple and clear geometrical definition. Let us subdivide the particle into a very large number of identical small volume elements. The function p…r† is proportional to the number of lines with a length between r and r ‡ dr which are found in the combination of any volume element i with any other volume element k of the particle (see Fig. 2.6.1.1). For r ˆ 0, there is no other volume element, so p…r† must be zero, increasing with r 2 as the number of possible neighbouring volume elements is proportional to the surface of a sphere with radius r. Starting from an arbitrary point in the particle, there is a certain probability that the surface will be reached within the distance r. This will cause the p…r† function to drop below the r2 parabola and finally the PDDF will be zero for all r > D, where D is the maximum dimension of the particle. So p…r† is a distance histogram of the particle. There is no information about the orientation of these lines in p…r†, because of the spatial averaging. In the case of inhomogeneous particles, we have to weight each line by the product of the difference in electron density
, and the differential volume element, dV . This can lead to negative contributions to the PDDF. We can see from equation (2.6.1.9) that every distance r gives a sin(hr)=(hr) contribution with the weight p…r† to the total scattering intensity. I…h† and p…r† contain the same information, but in most cases it is easier to analyse in terms of distances than in terms of sin(x)=x contributions. The PDDF could be computed exactly with equation (2.6.1.10) if I…h† were known for the whole reciprocal space. For h ˆ 0, we obtain from equation (2.6.1.9)

Invariant Q ˆ

R1 0

I…h†h2 dh:

…2:6:1:14†

2.6.1.3. Monodisperse systems In this subsection, we discuss scattering from monodisperse systems, i.e. all particles in the scattering volume have the same size, shape, and internal structure. These conditions are usually met by biological macromolecules in solution. Furthermore, we assume that these solutions are at infinite dilution, which is taken into account by measuring a series of scattering functions at different concentrations and by extrapolating these data to zero concentration. We continue with the notations defined in the previous subsection, which coincide to a large extent with the notations in the original papers and in the textbooks (Guinier & Fournet, 1955; Glatter & Kratky, 1982). There is a notation created by Luzzati (1960) that is quite different in many details. A comparison of the two notations is given in the Appendix of Pilz, Glatter & Kratky (1980). The particles can be roughly described by some parameters that can be extracted from the scattering function. More information about the shape and structure of the particles can be found by detailed discussion of the scattering functions. At first, this discussion will be about homogeneous particles and will be followed by some aspects for inhomogeneous systems. Finally, we have to discuss the influence of finite concentrations on our results. 2.6.1.3.1. Parameters of a particle Total scattering length. The scattering intensity at h ˆ 0 must be equal to the square of the number of excess electrons, as follows from equations (2.6.1.7) and (2.6.1.12): I…0† ˆ …
†2 V 2 ˆ 4

R1 0

p…r† dr:

…2:6:1:15†

This value is important for the determination of the molecular weight if we perform our experiments on an absolute scale (see below). Radius of gyration. The electronic radius of gyration of the whole particle is defined in analogy to the radius of gyration in mechanics: R …ri †ri2 dVi : …2:6:1:16† R2g ˆ VR …ri † dVi

Fig. 2.6.1.1. The height of the p…r† function for a certain value of r is proportional to the number of lines with a length between r and r ‡ dr within the particle.

V

It can be obtained from the PDDF by 91

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION or from the innermost part of the scattering curve [Guinier approximation (Guinier, 1939)]:

Table 2.6.1.1. Formulae for the various parameters for h (left) and m (right) scales p

I…h† ˆ I…0† exp… h2 R2g =3†:

la p tan  RˆK 2
log I…m† tan  ˆ
m2

R ˆ K tan 
log I…h† tan  ˆ
h2 Kˆ

A plot of log[I…h†Š vs h2 (Guinier plot) shows at its innermost part a linear descent with a slope tan , where p Rg ˆ K tan 

q 3 ˆ 2:628 log e

p Rc ˆ Kc tan 
log‰I…h†hŠ tan  ˆ
h2

(see Table 2.6.1.1). The radius of gyration is related to the geometrical parameters of simple homogeneous triaxial bodies as follows (Mittelbach, 1964):

la p tan  2
log‰I…m†mŠ tan  ˆ
m2 Rc ˆ Kc

q 2 ˆ 2:146 Kc ˆ log e Rt ˆ Kt tan  ˆ

p

Rt ˆ Kt


log‰I…h†h2 Š
h2 Kt ˆ

q 1 ˆ 1:517 log e

T ˆ Mˆ

Aˆ

l2 a2 ‰I…m†mŠ0 2 Qm

‰I…h†h2 Š0 Q

T ˆ

la ‰I…m†m2 Š0 2 Qm

I…0† a2 K P cd…
z†2

Kˆ

‰I…m†mŠ0 2K a l cd…
z†2 P

‰I…h†h2 Š0 K a2 2 cd…
z†2 P

Mt ˆ

‰I…m†m2 Š0 2K 1 P l2 cd…
z†2

Q a2 K P 22 d

…
†2 ˆ

parallelepiped (edge lengths A, B, C)

R2g ˆ …1=12†…A2 ‡ B2 ‡ C 2 †

elliptic cylinder (semi-axes a, b; height h)

R2g ˆ

a2 ‡ b2 h2 h2 ‡ ˆ R2c ‡ 4 12 12

hollow cylinder (height h and radii r1 , r2 )

R2g ˆ

r12 ‡ r22 h2 ‡ : 2 12

Radius of gyration of the thickness. A similar definition exists for lamellar particles. The one-dimensional radius of gyration of the thickness Rt can be calculated from R1 pt …r†r 2 dr 0 2 Rt ˆ R1 ; …2:6:1:21† 2 pt …r† dr

Qm 4 K P l3 ad

0

or from the innermost part of the scattered intensity of thickness It …h†: It …h† ˆ It …0† exp… h2 R2t †;

with It …h† ˆ I…h†h (see Table 2.6.1.1 and x2.6.1.3.2.1). Volume. The volume of a homogeneous particle is given by V ˆ 22

R2g ˆ

0

2

0

p…r† dr

…2:6:1:17†

92

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I…0† : Q

…2:6:1:23†

This equation follows from equations (2.6.1.12)±(2.6.1.14). Such volume determinations are subject to errors as they rely on the validity of an extrapolation to zero angle [to obtain I…0†] and to larger angles (h 4 extrapolation for Q). Scattering functions cannot be measured from h equal to zero to h equal to infinity.

p…r†r 2 dr R1

…2:6:1:22†

2

m!1

R1

…2:6:1:20†

with Ic …h† ˆ I…h†h (see Table 2.6.1.1).

22 Km Os ˆ la Qm K ˆ lim I…m†m4

h!1

R52 R51 R32 R31 R2g ˆ …1=5†…a2 ‡ b2 ‡ c2 †

Ic …h† ˆ Ic …0† exp… h2 R2c =2†;

K ˆ 1024 =Ie Ê 3† …1024 ˆ ‰cm=AŠ K Os ˆ  Q K ˆ lim I…h†h4

R2g ˆ …3=5†

where pc …r† is the PDDF of the cross section or it can be calculated from the innermost part of the scattering intensity of the cross section Ic …h†:

1 ˆ 21:0 Ie NL

Mc ˆ

…
†2 ˆ

hollow sphere (radii R1 and R2 )

0

‰I…h†hŠ0 K a2  cd…
z†2 P

Mc ˆ Mt ˆ

Vˆ

‰I…h†hŠ0 Q

A ˆ 2

R2g ˆ …3=5†R2

Radius of gyration of the cross section. In the special case of rod-like particles, the two-dimensional analogue of Rg is called radius of gyration of the cross section Rc . It can be obtained from R1 pc …r†r 2 dr 0 2 Rc ˆ R1 ; …2:6:1:19† 2 pc …r† dr

l3 a3 I…0† 4 Qm R Qm ˆ I…m†m2 dm

I…0† V ˆ 22 Q R Q ˆ I…h†h2 dh

sphere (radius R)

ellipsoid (semi-axes a, b, c)

la p tan  2
log‰I…m†m2 Š tan  ˆ
m2

tan 

…2:6:1:18†

2.6. SMALL-ANGLE TECHNIQUES Surface. The surface S of one particle is correlated with the scattering intensity I1 …h† of this particle by

thickness of the sample, c [g cm 3 ] is the concentration, and NL is Loschmidt's (Avogadro's) number.

2 S: …2:6:1:24† h4 Determination of the absolute intensity can be avoided if we calculate the specific surface Os (Mittelbach & Porod, 1965)

Rod-like particles. The mass per unit length Mc ˆ M=L, i.e. the mass related to the cross section of a rod-like particle with length L, is given by a similar equation (Kratky & Porod, 1953):

I1 …h†jh!1 ˆ …
†2

Os ˆ S=V ˆ 

lim ‰I…h†h4 Š

h!1

Q

:

‰I…h†hŠh!0 a2 P 
z2 dcIe NL ‰I…h†hŠh!0 6:68a2 : ˆ P
z2 dc

Mc ˆ

…2:6:1:25†

Cross section, thickness, and correlation length. By similar equations, we can find the area A of the cross section of a rodlike particle A ˆ 2

‰I…h†hŠh!0 Q

Flat particles. A similar equation holds for the mass per unit area Mt ˆ M=A: ‰I…h†h2 Šh!0 a2 P 2
z2 dcIe NL ‰I…h†h2 Šh!0 3:34a2 : ˆ P
z2 dc

…2:6:1:26†

Mt ˆ

and the thickness T of lamellar particles by ‰I…h†h2 Šh!0 T ˆ Q

…2:6:1:27†

h‰nm 1 Š ˆ Thm ‰cm 1 nm 1 Šm‰cmŠ;

0

Thm ˆ 2=la: 2 ' m=a ˆ …l=2†h

…2:6:1:36†

was used in the early years of small-angle X-ray scattering experiments. The formulae for the various parameters for m and the h scale can be found in Table 2.6.1.1, the formulae for the 2 scale can be found in Glatter & Kratky (1982, p. 158). 2.6.1.3.2. Shape and structure of particles

…2:6:1:29†

In this subsection, we have to discuss how shape, size, and structure of the scattering particle are reflected in the scattering function I…h† and in the PDDF p…r†. In general, it is easier to discuss features of the PDDF, but some characteristics like symmetry give more pronounced effects in reciprocal space.

depending on the length of the chain (Heine, Kratky & Roppert, 1962). For further details, see Kratky (1982b). Molecular weight. Particles of arbitrary shape. The particle is measured at high dilution in a homogeneous solution and has an isopotential specific volume v02 and z2 mol. electrons per gram, i.e. the molecule contains z2 M electrons if M is the molecular weight. The number of effective mol. electrons per gram is given by

2.6.1.3.2.1. Homogeneous particles Globular particles. Only a few scattering problems can be solved analytically. The most trivial shape is a sphere. Here we have analytical expressions for the scattering intensity 2  sin…hR† hR cos…hR† …2:6:1:37† I…h† ˆ 3 …hR†3

…2:6:1:30†

where 0 is the mean electron density of the solvent. The molecular weight can be determined from the intensity at zero angle I…0†:

and for the PDDF (Porod, 1948)

I…0† a2 Mˆ P
z2 dcIe NL I…0† 21:0a2 …2:6:1:31† ˆ P
z2 dc (Kratky, Porod & Kahovec, 1951), where P is the total intensity per unit time irradiating the sample, a [cm] is the distance between the sample and the plane of registration, d [cm] is the

p…r† ˆ 12x2 …2

3x ‡ x3 † x ˆ r=…2R†  1;

…2:6:1:38†

where R is the radius of the sphere. The graphical representation of scattering functions is usually made with a semi-log plot [log I…h† vs h] or with a log±log plot [log I…h† vs log h]; the PDDF is shown in a linear plot. In order to compare functions from particles of different shape, it is preferable to keep the scattering intensity at zero angle (area under PDDF) and the radius of 93

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…2:6:1:35†

The angular scale 2 with

Persistence length ap . An important model for polymers in solution is the so-called worm-like chain (Porod, 1949; Kratky & Porod, 1949). The degree of coiling can be characterized by the persistence length ap (Kratky, 1982b). Under the assumption that the persistence length is much larger than the cross section of the polymer, it is possible to find a transition point h‡ in an I…h†h2 vs h plot where the function starts to be proportional to h. There is an approximation

v02 0 †;

…2:6:1:34†

with

The maximum dimension D of a particle would be another important particle parameter, but it cannot be calculated directly from the scattering function and will be discussed later.


z2 ˆ …z2

…2:6:1:33†

Abscissa scaling. The various molecular parameters can be evaluated from scattered intensities with different abscissa scaling. The abscissa used in theoretical work is h ˆ …4=l† sin . The most important experimental scale is m [cm], the distance of the detector from the centre of the primary beam with the distance a [cm] between the sample and the detector plane.

but the experimental accuracy of the limiting values ‰I…h†hŠh!0 and ‰I…h†h2 Šh!0 is usually not very high. The correlation length lc is the mean width of the correlation function …r† (Porod, 1982) and is given by Z1  lc ˆ I…h†h dh: …2:6:1:28† Q

h‡ ap ' 2:3;

…2:6:1:32†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION experimental errors. In any case, this accuracy will be different for different shapes. Any deviation from spherical symmetry will shift the maximum to smaller r values and the value for D will increase [I…0† and Rg constant!]. A comparison of PDDF's for a sphere, an oblate ellipsoid of revolution (axial ratio 1:1:0.2), and a prolate ellipsoid of revolution (1:1:3) is shown in Fig. 2.6.1.4. The more we change from the compact, spherical structure to a two- and one-dimensionally elongated structure, the more the maximum shifts to smaller r values and at the same time we have an increase in D. We see that p…r† is a very informative function. The interpretation of scattering functions in reciprocal space is hampered by the highly abstract nature of this domain. We can see this problem in Fig. 2.6.1.5, where the scattering functions of the sphere and the ellipsoids in Fig. 2.6.1.4 are plotted. A systematic discussion of the features of p…r† can be found elsewhere (Glatter, 1979, 1982b).

gyration Rg [slope of the main maximum of I…h† or the second moment of p…r†] constant. The scattering function of a sphere with R ˆ 65 is shown in Fig. 2.6.1.2 [dashed line, log I…0† normalized to 12]. We see distinct minima which are typical for particles of high symmetry. We can determine the size of the sphere directly from the position of the zeros h01 and h02 (Glatter, 1972). R'

4:493 h01

or

R'

7:725 h02

…2:6:1:39†

or from the position of the first side maximum (Rg ' 4:5=h1 †. The minima are considerably flattened in the case of cubes (full line in Fig. 2.6.1.2). The corresponding differences in real space are not so clear-cut (Fig. 2.6.1.3). The p…r† function of the sphere has a maximum near r ˆ R ˆ D=2 …x ' 0:525† and drops to zero like every PDDF at r ˆ D, where D is the maximum dimension of the particle ± here the diameter. The p…r† for the cube with the same Rg is zero at r ' 175. The function is very flat in this region. This fact demonstrates the problems of accuracy in this determination of D when we take into account

Rod-like particles. The first example of a particle elongated in one direction (prolate ellipsoid) was given in Figs. 2.6.1.4 and 2.6.1.5. An important class is particles elongated in one

Fig. 2.6.1.4. Comparison of the p…r† function of a sphere (Ð), a prolate ellipsoid of revolution 1:1:3 (Ð
Ð
Ð), and an oblate ellipsoid of revolution 1:1:0.2 (- - - -) with the same radius of gyration.

Fig. 2.6.1.2. Comparison of the scattering functions of a sphere (- - - -) and a cube (Ð) with same radius of gyration.

Fig. 2.6.1.3. Distance distribution function of a sphere (- - - -) and a cube (Ð) with the same radius of gyration and the same scattering intensity at zero angle.

Fig. 2.6.1.5. Comparison of the I…h† functions of a sphere, a prolate, and an oblate ellipsoid (see legend to Fig. 2.6.1.4).

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2.6. SMALL-ANGLE TECHNIQUES PDDF of the cross section pc …r† to obtain more information on the cross section (Glatter, 1980a).

direction with a constant cross section of arbitrary shape (long cylinders, parallelepipeds, etc.) The cross section A (with maximum dimension d) should be small in comparison to the length of the whole particle L: dL

L ˆ …D2

d 2 †1=2 ' D:

Flat particles. Flat particles, i.e. particles elongated in two dimensions (discs, flat parallelepipeds), with a constant thickness T much smaller than the overall dimensions D, can be treated in a similar way. The scattering function can be written as

…2:6:1:40†

The scattering curve of such a particle can be written as I…h† ˆ L…=h†Ic …h†;

I…h† ˆ A

…2:6:1:41†

where the function Ic …h† is related only to the cross section and the factor 1=h is characteristic for rod-like particles (Kratky & Porod, 1948; Porod, 1982). The cross-section function Ic …h† is Ic …h† ˆ …L† 1 I…h†h ˆ constant  I…h†h:

R1 0

pc …r†J0 …hr† dr;

It …h† ˆ …A2† 1 I…h†h ˆ constant  I…h†h2 ;

…2:6:1:42†

1 2

It …h† ˆ 2

…2:6:1:43†

0

pt …r† cos…hr† dr

pt …r† ˆ t …r†

…2:6:1:44†

0

1 

…2:6:1:49†

Z1 It …h† cos…hr† dh 0

ˆ
t …r† 
t … r†:

(Glatter, 1982a). The function pc …r† is the PDDF of the cross section with pc …r† ˆ r c …r† ˆ h
…rc † 
… rc †i:

R1

and

Z1 Ic …h†…hr†J0 …hr† dh

…2:6:1:48†

which can be used for the determination of Rt , T, and Mt . In addition, we have again:

where J0 …hr† is the zero-order Bessel function and pc …r† ˆ

…2:6:1:47†

where It …h† is the so-called thickness factor (Kratky & Porod, 1948) or

This function was used in the previous subsection for the determination of the cross-section parameters Rc , A, and Mc . In addition, we have Ic …h† ˆ 2

2 I …h†; h2 t

…2:6:1:50†

PDDF's from flat particles do not show clear features and therefore it is better to study f …r† ˆ p…r†=r (Glatter, 1979). The corresponding functions for lamellar particles with the same basal plane but different thickness are shown in Fig. 2.6.1.7(b). The marked transition points in Fig. 2.6.1.7(b) can be used to determine the thickness. The PDDF of the thickness pt …r† can give more information in such cases, especially for inhomogeneous particles (see below).

…2:6:1:45†

The symbol * stands for the mathematical operation called convolution and the symbol h i means averaging over all directions in the plane of the cross section. Rod-like particles with a constant cross section show a linear descent of p…r† for r  d if D > 2:5d. The slope of this linear part is proportional to the square of the area of the cross section, dp A2
2 : …2:6:1:46† ˆ dr 2 The PDDF's of parallelepipeds with the same cross section but different length L are shown in Fig. 2.6.1.6. The maximum corresponds to the cross section and the point of inflection ri gives a rough indication for the size of the cross section. This is shown more clearly in Fig. 2.6.1.7, where three parallelepipeds with equal cross section area A but different cross-section dimensions are shown. If we find from the overall PDDF that the particle under investigation is a rod-like particle, we can use the

Ê ) and a Fig. 2.6.1.7. Three parallelepipeds with constant length L (400 A constant cross section but varying length of the edges: Ð Ê ; Ð
Ð
Ð 80  20 A Ê ; - - - - 160  10 A Ê . (a) p…r† function. 40  40 A (b) f …r† ˆ p…r†=r.

Fig. 2.6.1.6. Distance distributions from homogeneous parallelepipeds Ê (b) 50  50  250 A; Ê (c) with edge lengths of: (a) 50  50  500 A; Ê 50  50  150 A.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION Details of the technique cannot be discussed here, but it is a fact that we can calculate the radial distribution …r† from the scattering data assuming that the spherical scatterer is only of finite size. The hollow sphere can be treated either as a homogeneous particle with a special shape or as an inhomogeneous particle with spherical symmetry with a step function as radial distribution. The scattering function and the PDDF of a hollow sphere can be calculated analytically. The p…r† of a hollow sphere has a triangular shape and the function f …r† ˆ p…r†=r shows a horizontal plateau (Glatter, 1982b).

Composite structures ± aggregates, subunits. The formation of dimers can be analysed qualitatively with the p…r† function (Glatter, 1979). For an approximate analysis, it is only necessary to know the PDDF of the monomer. Different types of aggregates will have distinct differences in their PDDF. Higher aggregates generally cannot be classified unambiguously. Additional information from other sources, such as the occurrence of symmetry, can simplify the problem. Particles that consist of aggregates of a relatively large number of identical subunits show, at low resolution, the overall structure of the whole particle. At larger angles (higher resolution), the influence of the individual subunits can be seen. In the special case of globular subunits, it is possible to determine the size of the subunits from the position of the minima of the corresponding shape factors using equation (2.6.1.39) (Glatter, 1972; Pilz, Glatter, Kratky & MoringClaesson, 1972).

Rod-like particles. Radial inhomogeneity. If we assume radial inhomogeneity of a circular cylinder, i.e.  is a function of the radius r but not of the angle ' or of the value of z in cylindrical coordinates, we can determine some structural details. We define  c as the average excess electron density in the cross section. Then we obtain a PDDF with a linear part for r > d and we have to replace
 in equation (2.6.1.46) by  c with the maximum dimension of the cross section d. The p…r† function differs from that of a homogeneous cylinder with the same  c only in the range 0 < r  d. A typical example is shown in Fig. 2.6.1.8. The functions for a homogeneous, a hollow, and an inhomogeneous cylinder with varying density c …r† are shown.

2.6.1.3.2.2. Hollow and inhomogeneous particles We have learned to classify homogeneous particles in the previous part of this section. It is possible to see from scattering data ‰I…h† or p…r†] whether a particle is globular or elongated, flat or rod-like, etc., but it is impossible to determine uniquely a complicated shape with many parameters. If we allow internal inhomogeneities, we make things more complicated and it is clear that it is impossible to obtain a unique reconstruction of an inhomogeneous three-dimensional structure from its scattering function without additional a priori information. We restrict our considerations to special cases that are important in practical applications and that allow at least a solution in terms of a firstorder approximation. In addition, we have to remember that the p…r† function is weighted by the number of excess electrons that can be negative. Therefore, a minimum in the PDDF can be caused by a small number of distances, or by the addition of positive and negative contributions.

Rod-like particles. Axial inhomogeneity. This is another special case for rod-like particles, i.e. the density is a function of the z coordinate. In Fig. 2.6.1.9, we compare two cylinders with the same size and diameter. One is a homogeneous cylinder  diameter d ˆ 48 and length L ˆ 480, and the with density , other is an inhomogeneous cylinder of the same size and mean  but this cylinder is made from slices with a thickness density ,  respectively. of 20 and alternating densities of 1.5 and 0.5, The PDDF of the inhomogeneous cylinder has ripples with the periodicity of 40 in the whole linear range. This periodicity leads to reflections in reciprocal space (first and third order in the h range of the figure). Flat particles. Cross-sectional inhomogeneity. Lamellar particles with varying electron density perpendicular to the basal plane, where  is a function of the distance x from the central plane, show differences from a homogeneous lamella of the same size in the PDDF in the range 0 < r < T , where T is the

Spherically symmetric particles. In this case, it is possible to describe the particle by a one-dimensional radial excess density function
…r†. For convenience, we omit the
sign for excess in the following. As we do not have any angle-dependent terms, we have no loss of information from the averaging over angle. The scattering amplitude is simply the Fourier transform of the radial distribution: Z1 sin…hr† dr …2:6:1:51† A…h† ˆ 4 r…r† h 0

‰I…h†

2

A…h† Š and 1 …r† ˆ 2 2

Z1 hA…h† 0

sin…hr† dh r

…2:6:1:52†

(Glatter, 1977a). These equations would allow direct analysis if A…h† could be measured, but we can measure only I…h†. …r† can be calculated from I…h† using equation (2.6.1.10) remembering that this function is the convolution square of …r† [equations (2.6.1.5) and (2.6.1.8)]. Using a convolution square-root technique, we can calculate …r† from I…h† via the PDDF without having a `phase problem' like that in crystallography; i.e. it is not necessary to calculate scattering amplitudes and phases (Glatter, 1981; Glatter & Hainisch, 1984; Glatter, 1988). This can be done because p…r† differs from zero only in the limited range 0 < r < D (Hosemann & Bagchi, 1952, 1962). In mathematical terms, it is again the difference between a Fourier series and a Fourier integral.

Ê and an Fig. 2.6.1.8. Circular cylinder with a constant length of 480 A Ê . (a) Homogeneous cylinder, (b) hollow outer diameter of 48 A cylinder, (c) inhomogeneous cylinder. The p…r† functions are shown on the left, the corresponding electron-density distributions …r† on the right.

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2.6. SMALL-ANGLE TECHNIQUES thickness of the lamella. An example is given in Fig. 2.6.1.10 where we compare a homogeneous lamellar particle (with  ˆ ‡ 13) with an inhomogeneous one, t …x† being a three-step function alternating between the values ‡1; 1; ‡1.

A method for distance determination with X-rays by heavyatom labelling was developed by Kratky & Worthman (1947). These ideas are now used for the determination of distances between deuterated subunits of complex macromolecular structures with neutron scattering.

Flat particles. In-plane inhomogeneity. Lamellae with a homogeneous cross section but inhomogeneities along the basal plane have a PDDF that deviates from that of a homogeneous lamella in the whole range 0 < r < D. These deviations are a measure of the in-plane inhomogeneites; a general evaluation method does not exist. Even more complicated is the situation that occurs in membranes: these have a pronounced crosssectional structure with additional in-plane inhomogeneities caused by the membrane proteins (Laggner, 1982; Sadler & Worcester, 1982).

High-resolution experiments. A special type of study is the comparison of the structures of the same molecule in the crystal and in solution. This is done to investigate the influence of the crystal field on the polymer structure (Krigbaum & KuÈgler, 1970; Damaschun, Damaschun, MuÈller, Ruckpaul & Zinke, 1974; Heidorn & Trewhella, 1988) or to investigate structural changes (Ruckpaul, Damaschun, Damaschun, Dimitrov, JaÈnig, MuÈller, PuÈrschel & Behlke, 1973; Hubbard, Hodgson & Doniach, 1988). Sometimes such investigations are used to verify biopolymer structures predicted by methods of theoretical physics (MuÈller, Damaschun, Damaschun, Misselwitz, Zirwer & Nothnagel, 1984). In all cases, it is necessary to measure the small-angle scattering curves up to relatively high scattering angles (h ' 30 nm 1 , and more). Techniques for such experiments have been developed during recent years (Damaschun, Gernat, Damaschun, Bychkova & Ptitsyn, 1986; Gernat, Damaschun, KroÈber, Bychkova & Ptitsyn, 1986; I'anson, Bacon, Lambert, Miles, Morris, Wright & Nave, 1987) and need special evaluation methods (MuÈller, Damaschun & Schrauber, 1990).

Contrast variation and labelling. An important method for studying inhomogeneous particles is the method of contrast variation (Stuhrmann, 1982). By changing the contrast of the solvent, we can obtain additional information about the inhomogeneities in the particles. This variation of the contrast is much easier for neutron scattering than for X-ray scattering because hydrogen and deuterium have significantly different scattering cross sections. This technique will therefore be discussed in the section on neutron small-angle scattering.

2.6.1.3.3. Interparticle interference, concentration effects So far, only the scattering of single particles has been treated, though, of course, a great number of these are always present. It has been assumed that the intensities simply add to give the total diffraction pattern. This is true for a very dilute solution, but with increasing concentration interference effects will contribute. Biological samples often require higher concentrations for a sufficient signal strength. We can treat this problem in two different ways: ±We accept the interference terms as additional information about our system under investigation, thus observing the spatial arrangement of the particles. ±We treat the interference effect as a perturbation of our single-particle concept and discuss how to remove it. The first point of view is the more general, but there are many open questions left. For many practical applications, the second point of view is important. The radial distribution function. In order to find a general description, we have to restrict ourselves to an isotropic assembly of monodisperse spheres. This makes it possible to

Fig. 2.6.1.9. Inhomogeneous circular cylinder with periodical changes of the electron density along the cylinder axis compared with a homogeneous cylinder with the same mean electron density. (a) p…r† function; (b) scattering intensity; Ð inhomogeneous cylinder; - - - - homogeneous cylinder.

Fig. 2.6.1.10. p…r† function of a lamellar particle. The full line corresponds to an inhomogeneous particle, t …x† is a three-step function with the values ‡1; 1; ‡1. The broken line represents the homogeneous lamella with  ˆ ‡ 13.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION their concentrations. For large h values, these curves are identical. In the low-h range, the curves must be extrapolated to zero concentration. It depends on the problem as to whether a linear fit is sufficient or whether a second-degree polynomial has to be used. The extrapolation can be performed in a standard I…h†=c versus h plot or in a Zimm plot ‰I…h†=cŠ 1 versus h (Cleemann & Kratky, 1960; Kirste & OberthuÈr, 1982). The Zimm plot should be preferred when working with highly concentrated solutions (Pilz, 1982). As mentioned above, the innermost part of the scattering function is lowered and the apparent radius of gyration decreases with increasing concentration. The length of the linear range of the Guinier plot can be extended by the interference effect for non-spherical particles. Thus, an elongated linear Guinier plot is no guarantee of the completeness of the elimination of the concentration effect. Remaining interparticle interferences cannot be recognized in reciprocal space. The PDDF is affected considerably by interparticle interference (Glatter, 1979). It is lowered with increasing distance r, goes through a negative minimum in the region of the maximum dimension D of the particle, and the oscillations vanish at larger r values. This is shown for the hard-sphere model in Fig. 2.6.1.12. The oscillations disappear when the concentration goes to zero. The same behaviour can be found from experimental data even in the case of non-spherical data (Pilz, Goral, Hoylaerts, Witters & Lontie, 1980; Pilz, 1982). In some cases, it may be impossible to carry out experiments with varying concentrations. This will be the case if the structure of the particles depends on concentration. Under certain circumstances, it is possible to find the particle parameters by neglecting the innermost part of the scattering function influenced by the concentration effect (MuÈller & Glatter, 1982).

describe the situation by introducing a radial interparticle distribution function P…r† (Zernicke & Prins, 1927; Debye & Menke, 1930). Each particle has the same surroundings. We consider one central particle and ask for the probability that another particle will be found in the volume element dV at a distance r apart. The mean value is (N=v) dV; any deviation from this may be accounted for by a factor P…r†. In the range of impenetrability …r < D†, we have P…r† ˆ 0 and in the long range …r  D† P…r† ˆ 1. So the corresponding equation takes the form 2 3 Z1 N sin…hr† dr 5: …2:6:1:53† 4r 2 ‰P…r† 1Š I…h† ˆ NI1 …h†41 ‡ V hr 0

The second term contains all interparticle interferences. Its predominant part is the `hole' of radius D, where ‰P…r† 1Š ˆ 1. This leads to a decrease of the scattering intensity mainly in the central part, which results in a liquid-type pattern (Fig. 2.6.1.11). This can be explained by the reduction of the contrast caused by the high number of surrounding particles. Even if a size distribution for the spheres is assumed, the effect remains essentially the same (Porod, 1952). Up to now, no exact analytical expressions for P…r† exist. The situation is even more complicated if one takes into account attractive or repulsive interactions or non-spherical particle shapes (orientation). If we have a system of spheres with known size D, we can use equation (2.6.1.37) for I1 …h† in equation (2.6.1.53), divide by this function, and calculate P…r† from experimental data by Fourier inversion. The interference term can be used to study particle correlations of charged macromolecular solutions (Chen, Sheu, Kalus & Hoffmann, 1988). If there are attractive forces, there will be a tendency for aggregation. This tendency may, for instance, be introduced by some steps in the procedure of preparation of biological samples. Such aggregation leads to an increase of the intensity in the central part (gas type). In this case, we will finally have a polydisperse system of monomers and oligomers. Again, there exist no methods to analyse such a system uniquely.

Aggregates ± gas type. When the particles show a tendency to aggregation with increasing concentration, we can follow the same procedures as discussed for the liquid type, i.e. perform a concentration series and extrapolate the I…h†=c curves to zero concentration. However, in most cases, the tendency to aggregation exists at any concentration, i.e. even at very high dilution we have a certain number of oligomers coexisting with monomers. There is no unique way to find the real particle parameters in these cases. It is not sufficient just to neglect the innermost part of the

Elimination of concentration effects ± liquid type. In most cases, the interference effect is a perturbation of our experiment where we are only interested in the particle scattering function. Any remaining concentration effect would lead to errors in the resulting parameters. As we have seen above, the effect is essential at low h values, thus influencing I…0†, Rg , and the PDDF at large r values. The problem can be handled for the liquid-like type in the following way. We measure the scattering function I…h† at different concentrations (typically from a few mg ml 1 up to about 50 mg ml 1 ). The influence of the concentration can be seen in a common plot of these scattering curves, divided by

Fig. 2.6.1.12. Distance distribution ± hard-sphere interference model. Theoretical p…r† functions: Ð  ˆ 0; - - -  ˆ 0:25; Ð
Ð
Ð  ˆ 0:5; Ð Ð Ð  ˆ 1:0. Circles: results from indirect transformaÊ tion:  ˆ 0:5, h1 R ˆ 2:0. 2% statistical noise, Dmax ˆ 300 A,
Rg ˆ 0:5%,
I0 ˆ 1:2%.

Fig. 2.6.1.11. Characteristic types of scattering functions: (a) gas type; (b) particle scattering; (c) liquid type.

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2.6. SMALL-ANGLE TECHNIQUES scattering function because that leads to an increasing loss of essential information about the particle (monomer) itself.

synchrotron radiation is available only at a few places in the world. Reviews on synchrotron radiation and its application have been published during recent years (Stuhrmann, 1978; Holmes, 1982; Koch, 1988). In these reviews, one can also find some remarks on the general principles of the systems including cameras and special detectors.

2.6.1.4. Polydisperse systems In this subsection, we give a short survey of the problem of polydispersity. It is most important that there is no way to decide from small-angle scattering data whether the sample is mono- or polydisperse. Every data set can be evaluated in terms of monodisperse or polydisperse structures. Independent a priori information is necessary to make this decision. It has been shown analytically that a certain size distribution of spheres gives the same scattering function as a monodisperse ellipsoid with axes a, b and c (Mittelbach & Porod, 1962). The scattering function of a polydisperse system is determined by the shape of the particles and by the size distribution. As mentioned above, we can assume a certain size distribution and can determine the shape, or, more frequently, we assume the shape and determine the size distribution. In order to do this we have to assume that the scattered intensity results from an ensemble of particles of the same shape whose size distribution can be described by Dn …R†, where R is a size parameter and Dn …R† denotes the number of particles of size R. Let us further assume that there are no interparticle interferences or multiple scattering effects. Then the scattering function I…h† is given by I…h† ˆ cn

R1 0

Dn …R†R6 i0 …hR† dR;

2.6.1.5.1. Small-angle cameras General. In any small-angle scattering experiment, it is necessary to illuminate the sample with a well defined flux of X-rays. The ideal condition would be a parallel monochromatic beam of negligible dimension and very high intensity. These theoretical conditions can never be reached in practice (Pessen, Kumosinski & Timasheff, 1973). One of the main reasons is the fact that there are no lenses as in the visible range of electromagnetic radiation. The refractive index of all materials is equal to or very close to unity for X-rays. On the other hand, this fact has some important advantages. It is, for example, possible to use circular capillaries as sample holders without deflecting the beam. There are different ways of constructing a small-angle scattering system. Slit, pinhole, and block systems define a certain area where the X-rays can pass. Any slit or edge will give rise to secondary scattering (parasitic scattering). The special construction of the instrument has to provide at least a subspace in the detector plane (plane of registration) that is free from this parasitic scattering. The crucial point is of course to provide the conditions to measure at very small scattering angles. The other possibility of building a small-angle scattering system is to use monochromator crystals and/or bent mirrors to select a narrow wavelength band from the radiation (important for synchrotron radiation) and to focus the X-ray beam to a narrow spot. These systems require slits in addition to eliminate stray radiation.

…2:6:1:54†

where cn is a constant, the factor R6 takes into account the fact that the particle volume is proportional to R3 , and i0 …hR† is the normalized form factor of a particle size R. In many cases, one is interested in the mass distribution Dm …R† [sometimes called volume distribution Dc …R†]. In this case, we have I…h† ˆ cm

R1 0

Dm …R†R3 i0 …hR† dR:

…2:6:1:55†

Block collimation ± Kratky camera. The Kratky (1982a) collimation system consists of an entrance slit (edge) and two blocks ± the U-shaped centre piece and a block called bridge. With this system, the problem of parasitic scattering can be largely removed for the upper half of the plane of registration and the smallest accessible scattering angle is defined by the size of the entrance slit (see Fig. 2.6.1.13). This system can be integrated in an evacuated housing (Kratky compact camera) and fixed on the top of the X-ray tube. It is widely used in many laboratories for different applications. In the Kratky system, the X-ray beam has a rectangular shape, the length being much larger than the width. Instrumental broadening can be corrected by special numerical routines. The advantage is a relatively high primary-beam intensity. The main disadvantage is that it cannot be used in special applications such as oriented systems where

The solution of these integral equations, i.e. the computation of Dn …R† or Dm …R† from I…h†, needs rather sophisticated numerical or analytical methods and will be discussed later. The problems of interparticle interference and multiple scattering in the case of polydisperse systems cannot be described analytically and have not been investigated in detail up to now. In general, interference effects start to influence data from small-angle scattering experiments much earlier, i.e. at lower concentration, than multiple scattering. Multiple scattering becomes more important with increasing size and contrast and is therefore dominant in light-scattering experiments in higher concentrations. A concentration series and extrapolation to zero concentration as in monodisperse systems should be performed to eliminate these effects. 2.6.1.5. Instrumentation X-ray sources are the same for small-angle scattering as for crystallographic experiments. One can use conventional generators with sealed tubes or rotating anodes for higher power. For the vast majority of applications, an X-ray tube with copper anode is used; the wavelength of its characteristic radiation (Cu K line) is 0.154 nm. Different anode materials emit X-rays of different characteristic wavelengths. X-rays from synchrotrons or storage rings have a continuous wavelength distribution and the actual wavelength for the experiment is selected by a monochromator. The intensity is much higher than for any type of conventional source but

Fig. 2.6.1.13. Schematic drawing of the block collimation (Kratky camera): E edge; B1 centre piece; B2 bridge; P primary-beam profile; PS primary-beam stop; PR plane of registration.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION the two-dimensional scattering pattern has to be recorded. For such applications, any type of point collimation can be used. Slit and pinhole cameras. The simplest way to build a camera is to use two pairs of slits or pinholes at a certain distance apart (Kratky, 1982a; Holmes, 1982). The narrower the slits and the larger the distance between them, the smaller is the smallest attainable scattering angle (sometimes called the `resolution'). Parasitic scattering and difficult alignment are the main problems for all such systems (Guinier & Fournet, 1955). A slit camera that has been used very successfully is that of Beeman and coworkers (Ritland, Kaesberg & Beeman, 1950; Anderegg, Beeman, Shulman & Kaesberg, 1955). A rather unusual design is adopted in the slit camera of Stasiecki & Stuhrmann (1978), whose overall length is 50 m! A highly developed system is the ORNL 10 m camera at Oak Ridge (Hendricks, 1978). Standard-size cameras for laboratory application are commercially available with different designs from various companies. Bonse±Hart camera. The Bonse±Hart camera (Bonse & Hart, 1965, 1966, 1967) is based on multiple reflections of the primary beam from opposite sides of a groove in an ideal germanium crystal (collimator and monochromator). After penetrating the sample, the scattered beam runs through the groove of a second crystal (analyser). This selects the scattering angle. Rotation of the second crystal allows the measurement of the angledependent scattering function. The appealing feature of this design is that one can measure down to very small angles without a narrow entrance slit. The system is therefore favourable for the investigation of very large particles (D > 350 nm). For smaller particles, one obtains better results with block collimation (Kratky & Leopold, 1970). Camera systems for synchrotron radiation. Small-angle scattering facilities at synchrotrons are built by the local staff and details of the construction are not important for the user in most cases. Descriptions of the instruments are available from the local contacts. These small-angle scattering systems are usually built with crystal monochromators and focusing mirrors (point collimation). All elements have to be operated under remote control for safety reasons. A review of the different instruments was published recently by Koch (1988). 2.6.1.5.2. Detectors In this field, we are facing the same situation as we met for X-ray sources. The detectors for small-angle scattering experiments are the same as or slightly modified from the detectors used in crystallography. Therefore, it is sufficient to give a short summary of the detectors in the following; further details are given in Chapter 7.1. If we are not investigating the special cases of fully or partially oriented systems, we have to measure the dependence of the scattered intensity on the scattering angle, i.e. a one-dimensional function. This can be done with a standard gas-filled proportional counter that is operated in a sequential mode (Leopold, 1982), i.e. a positioning device moves the receiving slit and the detector to the desired angular position and the radiation detector senses the scattered intensity at that position. In order to obtain the whole scattering curve, a series of different angles must be positioned sequentially and the intensity readings at every position must be recorded. The system has a very high dynamic range, but ± as the intensities at different angles are measured at different times ± the stability of the primary beam is of great importance. This drawback is eliminated in the parallel detection mode with the use of position-sensitive detectors. Such systems are in most cases proportional counters with sophisticated and expen-

sive read-out electronics that can evaluate on-line the accurate position where the pulses have been created by the incoming radiation. Two-dimensional position-sensitive detectors are necessary for oriented systems, but they also have advantages in the case of non-oriented samples when circular chambers are used or when integration techniques in square detectors lead to a higher signal at large scattering angles. The simplest and cheapest two-dimensional detector is still film, but films are not used very frequently in small-angle scattering experiments because of limited linearity and dynamic range, and fog intensity. Koch (1988) reviews the one- and two-dimensional detectors actually used in synchrotron small-angle scattering experiments. For a general review of detectors, see Hendrix (1985). 2.6.1.6. Data evaluation and interpretation After having discussed the general principles and the basics of instrumentation in the previous subsections, we can now discuss how to handle measured data. This can only be a very short survey; a detailed description of data treatment and interpretation has been given previously (Glatter, 1982a,b). Every physical investigation consists of three highly correlated parts: theory, experiment, and evaluation of data. The theory predicts a possible experiment, experimental data have to be collected in a way that the evaluation of the information wanted is possible, the experimental situation has to be described theoretically and has to be taken into account in the process of data evaluation etc. This correlation should be remembered at every stage of the investigation. Before we can start any discussion about interpretation, we have to describe the experimental situation carefully. All the theoretical equations in the previous subsections correspond to ideal conditions as mentioned in the subsection on instrumentation. In real experiments, we do not measure with a point-like parallel and strictly monochromatic primary beam and our detector will have non-negligible dimensions. The finite size of the beam, its divergence, the size of the detector, and the wavelength distribution will lead to an instrumental broadening as in most physical investigations. The measured scattering curve is said to be smeared by these effects. So we find ourselves in the following situation. The particle is represented by its PDDF p…r†. This function is not measured directly. In the scattering process it is Fouriertransformed into a scattering function I…h† [equation (2.6.1.9)]. This function is smeared by the broadening effects and the final smeared scattering function Iexp …h† is measured with a certain experimental error …h†. In the case of polydisperse systems, the situation is very similar; we start from a size-distribution function D…R† and have a different transformation [equations (2.6.1.54), (2.6.1.55)], but the smearing problem is the same. 2.6.1.6.1. Primary data handling In order to obtain reliable results, we have to perform a series of experiments. We have to repeat the experiment for every sample, to be able to estimate a mean value and a standard deviation at every scattering angle. This experimentally determined standard deviation is often much higher than the standard deviation simply estimated from counting statistics. A blank experiment (cuvette filled with solvent only) is necessary to be able to subtract background scattering coming from the instrument and from the solvent (or matrix in the case of solid samples). Finally, we have to perform a series of such

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2.6. SMALL-ANGLE TECHNIQUES experiments at different concentrations to extrapolate to zero concentration (elimination of interparticle interferences). If the scattering efficiency of the sample is low (low contrast, small particles), it may be necessary to measure the outer part of the scattering function with a larger entrance slit and we will have to merge different parts of the scattering function. The intensity of the instrument (primary beam) should be checked before each measurement. This allows correction (normalization) for instabilities. It is therefore necessary to have a so-called primary datahandling routine that performs all these preliminary steps like averaging, subtraction, normalization, overlapping, concentration extrapolation, and graphical representation on a graphics terminal or plotter. In addition, it is helpful to have the possibility of calculating the Guinier radius, Porod extrapolation [equations (2.6.1.24)], invariant, etc. from the raw data. When all these preliminary steps have been performed, we have a smeared particle-scattering function Iexp …h† with a certain statistical accuracy. From this data set, we want to compute I…h† and p…r† [or D…R†] and all our particle parameters. In order to do this, we have to smooth and desmear our function Iexp …h†. The smoothing operation is an absolute necessity because the desmearing process is comparable to a differentiation that is impossible for noisy data. Finally, we have to perform a Fourier transform (or other similar transformation) to invert equations (2.6.1.9) or (2.6.1.54), (2.6.1.55). Before we can discuss the desmearing process (collimation error correction) we have to describe the smearing process. 2.6.1.6.2. Instrumental broadening ± smearing These effects can be separated into three components: the twodimensional geometrical effects and the wavelength effect. The geometrical effects can be separated into a slit-length (or slitheight) effect and a slit-width effect. The slit length is perpendicular to the direction of increasing scattering angle; the corresponding weighting function is usually called P…t†. The slit width is measured in the direction of increasing scattering angles and the weighting function is called Q…x†. If there is a wavelength distribution, we call the weighting function W …l0 † where l0 ˆ l=l0 and l0 is the reference wavelength used in equation (2.6.1.2). When a conventional X-ray source is used, it is sufficient in most cases to correct only for the K contribution. Instead of the weighting function W …l0 † one only needs the ratio between K and K radiation, which has to be determined experimentally (Zipper, 1969). One or more smearing effects may be negligible, depending on the experimental situation. Each effect can be described separately by an integral equation (Glatter, 1982a). The combined formula reads Z1 Z1 Z1 Q…x†P…t†W …l0 † Iexp …h† ˆ2 1



I

0

‰…m

0

x†2 ‡ t2 Š1=2 l0



dl0 dt dx:

…2:6:1:56†

This threefold integral equation cannot be solved analytically. Numerical methods must be used for its solution. 2.6.1.6.3. Smoothing, desmearing, and Fourier transformation There are many methods published that offer a solution for this problem. Most are referenced and some are reviewed in the textbooks (Glatter, 1982a; Feigin & Svergun, 1987). The indirect transformation method in its original version (Glatter,

1977a,b, 1980a,b) or in modifications for special applications (Moore, 1980; Feigin & Svergun, 1987) is a well established method used in the majority of laboratories for different applications. This procedure solves the problems of smoothing, desmearing, and Fourier transformation [inversion of equations (2.6.1.9) or (2.6.1.54), (2.6.1.55)] in one step. A short description of this technique is given in the following. Indirect transformation methods. The indirect transformation method combines the following demands: single-step procedure, optimized general-function system, weighted least-squares approximation, minimization of termination effect, error propagation, and consideration of the physical smoothing condition given by the maximum intraparticle distance. This smoothing condition requires an estimate Dmax as an upper limit for the largest particle dimension: Dmax  D:

For the following, it is not necessary for Dmax to be a perfect estimate, but it must not be smaller than D. As p…r† ˆ 0 for r  Dmax , we can use a function system for the representation of p…r† that is defined only in the subspace 0  r  Dmax . A linear combination pA …r† ˆ

N P vˆ1

cv 'v …r†

…2:6:1:58†

is used as an approximation to the PDDF. Let N be the number of functions and cv be the unknowns. The functions 'v …r† are chosen as cubic B splines (Greville, 1969; Schelten & Hossfeld, 1971) as they represent smooth curves with a minimum second derivative. Now we take advantage of two facts. The first is that we know  precisely how to calculate a smeared scattering function I…h† from I…h† [equation (2.6.1.56)] and how p…r† or D…R† is transformed into I…h† [equations (2.6.1.9) or (2.6.1.54), (2.6.1.55)], but we do not know the inverse transformations. The second fact is that all these transformations are linear, i.e. they can be applied to all terms in a sum like that in equation (2.6.1.58) separately. So it is easy to start with our approximation in real space [equation (2.6.1.58)] taking into account the a priori information Dmax . The approximation IA …h† to the ideal (unsmeared) scattering function can be written as IA …h† ˆ

N P vˆ1

cv v …h†;

…2:6:1:59†

where the functions v …h† are calculated from 'v …r† by the transformations (2.6.1.9) or (2.6.1.54), (2.6.1.55), the coefficients cv remain unknown. The final fit in the smeared, experimental space is given by a similar series IA …h† ˆ

N P vˆ1

cv v …h†;

…2:6:1:60†

where the v …h† are functions calculated from v …h† by the transform (2.6.1.56). Equations (2.6.1.58), (2.6.1.59), and (2.6.1.60) are similar because of the linearity of the transforms. We see that the functions v …h† are calculated from 'v …r† in the same way as the data Iexp …h† were produced by the experiment from p…r†. Now we can minimize the expression Lˆ

M P kˆ1

‰Iexp …hk †

IA …hk †Š2 = 2 …hk †;

…2:6:1:61†

where M is the number of experimental points. Such leastsquares problems are in most cases ill conditioned, i.e. additional stabilization routines are necessary to find the best

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…2:6:1:57†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION solution. This problem is far from being trivial, but it can be solved with standard routines (Glatter, 1977a,b; Tikhonov & Arsenin, 1977). The whole process of data evaluation is shown in Fig. 2.6.1.14. Similar routines cannot be used in crystallography (periodic structures) because there exists no estimate for Dmax [equation (2.6.1.57)]. Maximum particle dimension. The sampling theorem of Fourier transformation (Shannon & Weaver, 1949; Bracewell, 1986) gives a clear answer to the question of how the size of the particle D is related to the smallest scattering angle h1 . If the scattering curve is observed at increments
h  h1 starting from a scattering angle h1 , the scattering data contain, at least theoretically, the full information for all particles with maximum dimension D D  =h1 :

…2:6:1:62†

The first application of this theorem to the problem of data evaluation was given by Damaschun & PuÈrschel (1971a,b). In practice, one should always try to stay below this limit, i.e. h1 < =D

and
h  h1 ;

Resolution. There is no clear answer to the question concerning the smallest structural details, i.e. details in the p…r† function that can be recognized from an experimental scattering function. The limiting factors are the maximum scattering angle h2 , the statistical error …h†, and the weighting functions P…t†; Q…x†, and W …l0 † (Glatter, 1982a). The resolution of standard experiments is not better than approximately 10% of the maximum dimension of the particle for a monodisperse system. In the case of polydisperse systems, resolution can be defined as the minimum relative peak distance that can be resolved in a bimodal distribution. We know from simulations that this value is of the order of 25%. Special transforms. The PDDF p…r† or the size distribution function D…R† is related to I…h† by equations (2.6.1.9) or (2.6.1.54), (2.6.1.55). In the special case of particles elongated in one direction (like cylinders), we can combine equations (2.6.1.41) and (2.6.1.43) and obtain

…2:6:1:63†

taking into account the loss of information due to counting statistics and smearing effects. An optimum value for
h ˆ =…6D† is claimed by Walter, Kranold & Becherer (1974). Information content. The number of independent parameters contained in a small-angle scattering curve is given by Nmax  h2 =h1 ;

routine. An example of this problem can be found in Glatter (1980a).

…2:6:1:64†

with h1 and h2 being the lower and upper limits of h. In practice, this limit certainly depends on the statistical accuracy of the data. It should be noted that the number of functions N in equations (2.6.1.58) to (2.6.1.60) may be larger than Nmax because they are not independent. They are correlated by the stabilization

2

Z1

I…h† ˆ 2 L

pc …r† 0

J0 …hr† dr: h

…2:6:1:65†

This Hankel transform can be used in the indirect transformation method for the calculation of v …h† in (2.6.1.59). Doing this, we immediately obtain the PDDF of the cross section pc …r† from the smeared experimental data. It is not necessary to know the length L of the particle if the results are not needed on an absolute scale. For this application, we only need the information that the scatterers are elongated in one direction with a constant cross section. This information can be found from the overall PDDF of the particle or can be a priori information from other experiments, like electron microscopy. The estimate for the maximum dimension Dmax (2.6.1.57) is related to the cross

Fig. 2.6.1.14. Function systems 'v …r†; v …h†; and v …h† used for the approximation of the scattering data in the indirect transformation method.

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2.6. SMALL-ANGLE TECHNIQUES section in this application, i.e. the maximum dimension of the cross section must not be larger than Dmax . The situation is quite similar for flat particles. If we combine (2.6.1.47) and (2.6.1.49), we obtain Z1 pt …r†

I…h† ˆ 4A 0

cos…hr† dr; h2

…2:6:1:66†

pt …r† being the distance distribution function of the thickness. We have to check that the particles are flat with a constant thickness with maximum thickness T  Dmax . A is the area of the particles and would be needed only for experiments on an absolute scale. 2.6.1.6.4. Direct structure analysis It is impossible to determine the three-dimensional structure …r† directly from the one-dimensional information I…h† or p…r†. Any direct method needs additional a priori information ± or assumptions ± on the system under investigation. If this information tells us that the structure only depends on one variable, i.e. the structure is in a general sense one dimensional, we have a good chance of recovering the structure from our scattering data. Examples for this case are particles with spherical symmetry, i.e.  depends only on the distance r from the centre, or particles with cylindrical or lamellar symmetry where  depends only on the distance from the cylinder axis or from the distance from the central plane in the lamella. We will restrict our discussion here to the spherical problem but we keep in mind that similar methods exist for the cylindrical and the lamellar case. Spherical symmetry. This case is described by equations (2.6.1.51) and (2.6.1.52). As already mentioned in x2.6.1.3.2.2, we can solve the problem of the calculation of …r† from I…h† in two different ways. We can calculate …r† via the distance distribution function p…r† with a convolution square-root technique (Glatter, 1981; Glatter & Hainisch, 1984). The other way goes through the amplitude function A…h† and its Fourier transform. In this case, one has to find the right phases (signs) in the square-root operation {A…h† ˆ ‰I…h†1=2 Š}.The box-function refinement method by Svergun, Feigin & Schedrin (1984) is an iterative technique for the solution of the phase problem using the a priori information that …r† is equal to zero for r  Rmax …Dmax =2†. The same restriction is used in the convolution squareroot technique. Under ideal conditions (perfect spherical symmetry), both methods give good results. In the case of deviations from spherical symmetry, one obtains better results with the convolution square-root technique (Glatter, 1988). With this method, the results are less distorted by non-spherical contributions. Multipole expansions. A wide class of homogeneous particles can be represented by a boundary function that can be expanded into a series of spherical harmonics. The coefficients are related to the coefficients of a power series of the scattering function I…h†, which are connected with the moments of the PDDF (Stuhrmann, 1970b,c; Stuhrmann, Koch, Parfait, Haas, Ibel & Crichton, 1977). Of course, this expansion cannot be unique, i.e. for a certain scattering function I…h† one can find a large variety of possible expansion coefficients and shapes. In any case, additional a priori information is necessary to reduce this number, which in turn influences the convergence of the expansion. Only compact, globular structures can be approximated with a small number of coefficients. This concept is not restricted to the determination of the shape of the particles. Even inhomogeneous particles can be described

using all possible radial terms in a general expansion (Stuhrmann, 1970a). The information content can be increased by contrast variation (Stuhrmann, 1982), but in any event one is left with the problem of how to find additional a priori information in order to reduce the possible structures. Any type of symmetry will lead to a considerable improvement. The case of axial symmetry is a good example. Svergun, Feigin & Schedrin (1982) have shown that the quality of the results can be further improved when upper and lower limits for …r† can be used. Such limits can come from a known chemical composition. 2.6.1.6.5. Interpretation of results After having used all possible data-evaluation techniques, we end up with a desmeared scattering function I…h†, the PDDF p…r† or the size-distribution function D…R†, and some special functions discussed in the previous subsections. Together with the particle parameters, we have a data set that can give us at least a rough classification of the substance under investigation. The interpretation can be performed in reciprocal space (scattering function) or in real space (PDDF etc.). Any symmetry can be detected more easily in reciprocal space, but all other structural information can be found more easily in real space (Glatter, 1979, 1982b). When a certain structure is estimated from the data and from a priori information, one has to test the corresponding model. That means one has to find the PDDF and I…h† for the model and has to compare it with the experimental data. Every model that fits within the experimental errors can be true, all that do not fit have to be rejected. If the model does not fit, it has to be refined by trial and error. In most cases, this process is much easier in real space than in reciprocal space. Finally, we may end up with a set of possible structures that can be correct. Additional a priori information will be necessary to reduce this number.

2.6.1.7. Simulations and model calculations 2.6.1.7.1. Simulations Simulations can help to find the limits of the method and to estimate the systematic errors introduced by the data-evaluation procedure. Simulations are performed with exactly known model systems (test functions). These systems should be similar to the structures of interest. The model data are transformed according to the special experimental situation (collimation profiles and wavelength distribution) starting from the theoretical PDDF (or scattering function). `Experimental data points' are generated by sampling in a limited h range and adding statistical noise from a random-number generator. If necessary, a certain amount of background scattering can also be added. This simulated data set is subjected to the data-evaluation procedure and the result is compared with the starting function. Such simulation can reveal the influence of each approximation applied in the various evaluation routines. On the other hand, simulations can also be used for the optimization of the experimental design for a special application. The experiment situation is characterized by several contradictory effects: a large width for the functions P…t†, Q…x†, and W …l0 † leads to a high statistical accuracy but considerable smearing effects. The quality of the results of the desmearing procedure is increased by high statistical accuracy, but decreased by large smearing effects. Simulations can help to find the optimum for a special application.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION 2.6.1.7.2. Model calculation In the section on data evaluation and interpretation, we have seen that we obtain a rough estimate for the structure of the particles under investigation directly from the experimental data. For further refinement, we have to compare our results with scattering functions or PDDF's from models 2.6.1.7.3. Calculation of scattering intensities The scattering curves can be calculated semi-analytically for simple triaxial bodies and for models composed of some of these bodies. The scattering amplitude for regular bodies like ellipsoids, parallelepipeds, and cylinders can be calculated analytically for any orientation. The spatial averaging has to be performed numerically. Such calculations have been performed for a large number of different models by Porod (1948), Mittelbach & Porod (1961a,b, 1962), and by Mittelbach (1964). More complicated structures can be described by models composed of several such triaxial bodies, but the computing time necessary for such calculations can be hours on a mainframe computer. Models composed only of spherical subunits can be evaluated with the Debye formula (Debye, 1915): I…h† ˆ iel …h†

N X N X iˆ1 kˆ1

i Vi k Vk i …h†k …h†

sin…hdik † ; hdik

2.6.1.7.4. Method of finite elements Models of arbitrary shape can be approximated by a large number of very small homogeneous elements of variable electron density. These elements have to be smaller than the smallest structural detail of interest. Sphere method. In this method, the elements consist of spheres of equal size. The diameter of these spheres must be chosen independently of the distance between nearest neighbours, in such a way that the total volume of the model is represented correctly by the sum of all volume elements (which corresponds to a slight formal overlap between adjacent spheres). The scattering intensity is calculated using the Debye formula (2.6.1.67), with i …h† ˆ k …h† ˆ …h†. The computing time is mainly controlled by the number of mutual distances between the elements. The computing time can be lowered drastically by the use of approximate dik values in (2.6.1.67). Negligible errors in I…h† result if dik values are quantized to Dmax =10000 (Glatter, 1980c). For the practical application (input operation), it is important that a certain number of elements can be combined to form so-called substructures that can be used in different positions with arbitrary weights and orientations to build the model. The sphere method can also be used for the computation of scattering curves for macromolecules from a known crystal structure. The weights of the atoms are given by the effective number of electrons 0 Veff ;

2.6.1.7.5. Calculation of distance-distribution functions The PDDF can be calculated analytically only for a few simple models (Porod, 1948; Goodisman, 1980); in all other cases, we have to use a finite element method with spheres. It is possible to define an analogous equation to the Debye formula (2.6.1.67) in real space (Glatter, 1980c). The PDDF can be expressed as

…2:6:1:67†

where the spatial average is carried out analytically. Another possibility would be to use spherical harmonics as discussed in the previous section but the problem is how to find the expansion coefficients for a certain given geometrical structure.

Zeff ˆ Z

Cube method. This method has been developed independently by Fedorov, Ptitsyn & Voronin (1972, 1974a,b) and by Ninio & Luzzati (1972) mainly for the computation of scattered intensities for macromolecules in solution whose crystal structure is known. In the cube method, the macromolecule is mentally placed in a parallelepiped, which is subdivided into small cubes (with edge Ê . Each cube is examined in order to decide lengths of 0.5±1.5 A whether it belongs to the molecule or to the solvent. Adjacent cubes in the z direction are joined to form parallelepipeds. The total scattering amplitude is the sum over the amplitudes from the parallelepipeds with different positions and lengths. The mathematical background is described by Fedorov, Ptitsyn & Voronin (1974a,b). The modified cube method of Fedorov & Denesyuk (1978) takes into account the possible penetration of the molecule by water molecules.

…2:6:1:68†

where Veff is the apparent volume of the atom given by Langridge, Marvin, Seeds, Wilson, Cooper, Wilkins & Hamilton (1960).

p…r† ˆ

iˆ1

2i p0 …r; Ri †

‡2

NP1

N P

iˆ1 kˆi‡1

i k p…r; dik ; Ri ; Rk †:

…2:6:1:69†

p0 …r; Ri ) is the PDDF of a sphere with radius Ri and electron density equal to unity, p…r; dik ; Ri ; Rk † is the cross-term distance distribution between the ith and kth spheres (radii Ri and Rk ) with a mutal distance dik . Equation (2.6.1.69) [and (2.6.1.67)] can be used in two different ways for the calculation of model functions. Sometimes, it is possible to approximate a macromolecule as an aggregate of some spheres of well defined size representing different globular subunits (Pilz, Glatter, Kratky & MoringClaesson, 1972). The form factors of the subunits are in such cases real parameters of the model. However, in most cases we have no such possibility and we have to use the method of finite elements, i.e. we fit our model with a large number of sufficiently small spheres of equal size, and, if necessary, different weight. The form factor of the small spheres is now not a real model parameter and introduces a limit of resolution. Fourier transformation [equation (2.6.1.10)] can be used for the computation of the PDDF of any arbitrary model if the scattering function of the model is known over a sufficiently large range of h values. 2.6.1.8. Suggestions for further reading Only a few textbooks exist in the field of small-angle scattering. The classic monograph Small-Angle Scattering of X-rays by Gunier & Fournet (1955) was followed by the proceedings of the conference at Syracuse University, 1965, edited by Brumberger (1967) and by Small-Angle X-ray Scattering edited by Glatter & Kratky (1982). The several sections of this book are written by different authors being experts in the field and representing the state of the art at the beginning of the 1980's. The monograph Structure Analysis by Small-Angle X-ray and Neutron Scattering by Feigin & Svergun (1987) combines X-ray and neutron techniques.

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N P

2.6. SMALL-ANGLE TECHNIQUES 2.6.2. Neutron techniques (By R. May) Symbols used in the text A sample area inner sample surface As coherent scattering length of atom i bi spin-dependent scattering length of atom i Bi C sample concentration in g l 1 c volume fraction occupied by matter d sample thickness D particle dimension DCD double-crystal diffractometer Bragg spacing d0 unit vectors along the diffracted and incident beams e, e0 I nuclear spin IFT indirect Fourier transformation N number of particles in the sample Avogadro's number NA Q momentum transfer ‰ˆ …4=l† sin Š r radius of a sphere radius of gyration RG s neutron spin SANS small-angle neutron scattering SAXS small-angle X-ray scattering T transmission TOF time of flight v partial specific volume particle volume Vp sample volume Vs


solid angle subtended by a detection element l wavelength  scattering-length density 2 full scattering angle d…Q†= d scattering cross section per particle and unit solid angle 2.6.2.1. Relation of X-ray and neutron small-angle scattering X-ray and neutron small-angle scattering (SAXS and SANS, respectively) are dealing with the same family of problems, i.e. the investigation of `inhomogeneities' in matter. These inhomogeneities have dimensions D of the order of 1 to 100 nm, which are larger than interatomic distances, i.e. 0.3 nm. The term inhomogeneities may mean clusters in metals, a small concentration of protonated chains in an otherwise identical deuterated polymer ± or vice versa ± but also particles as well defined as purified proteins in aqueous solution. In most cases, the inhomogeneities are not ordered. This is where small-angle scattering is most useful: many systems are not crystalline, cannot be crystallized, or do not exhibit the same properties if they are. One field, if one may say so, of SANS where samples are ordered is low-resolution crystallography of biological macromolecules. It will not be treated further here. In the case of crystalline order, the scattering of the single particle is observed with an amplification factor of N 2 for N identical particles in the crystal, but only for those scattering vectors observing the Bragg condition nl ˆ 2d0 sin . For disordered, randomly oriented particles, the amplification is only N, and the scattering pattern is lacking all information on particle orientation. Moreover, the real-space information on the internal arrangement of atoms within the inhomogeneities is reduced to the `distance distribution function', a sine Fourier transform of the scattering intensity. The mathematical descriptions of SAXS and SANS are either identical or hold with equivalent terms. The reader is referred to

Section 2.6.1 on X-ray small-angle scattering techniques for a general description of low-Q scattering. An abundant treatment of SAXS can be found in the book edited by Glatter & Kratky (1982), and in Guinier & Fournet (1955) and Guinier (1968). A general introduction to SANS is given, for example, by Kostorz (1979) and by Hayter (1985). This section deals mainly with the differences between the techniques. Altogether, neutrons are used for low-Q scattering essentially for the same reasons as for other neutron experiments. These reasons are: (1) neutrons are sensitive to the isotopic composition of the sample; (2) neutrons possess a magnetic moment and, therefore, can be used as a magnetic probe of the sample; and (3) because of their weak interaction with and consequent deep penetration into matter, neutrons allow us to investigate properties of the bulk; (4) for similar reasons, strong transparent materials are available as sample-environment equipment. The fact that the kinetic energies of thermal and cold neutrons are comparable to those of excitations in solids, which is a reason for the use of neutrons for inelastic scattering, is, with the exception of time-of-flight SANS (see x2:6:2:1:1), not of importance for SANS. The information obtained from low-Q scattering is always an average over the irradiated sample volume and over time. This average may be purely static (in the case of solids) or also dynamic (liquids). The limited Q range used does not resolve interatomic scattering contributions. P Thus, a `scattering-length density'  can be introduced,  ˆ bi =V , where bi are the (coherent) scattering lengths of the atoms within a volume V with linear dimensions of at least l=. Inhomogeneities can then be understood as regions where the scattering-length density deviates from the prevailing average value. 2.6.2.1.1. Wavelength In the case of SANS ± as in that of X-rays from synchrotron sources ± the wavelength dependence of the momentum transfer Q; Q ˆ …4=l† sin , where  is half the scattering angle and l is the wavelength, has to be taken into account explicitly. Q corresponds to k, h, and 2s used by other authors. SANS offers an optimal choice of the wavelength: with sufficiently large wavelengths, for example, first-order Bragg scattering (and therefore the contribution of multiple Bragg scattering to small-angle scattering) can be suppressed: The Bragg condition written as l=dmax ˆ …2 sin †=n < 2 cannot hold for l  2dmax , where dmax is the largest atomic distance in a crystalline sample. For the usually small scattering angles in SANS, even quite small l will not produce first-order peaks. The neutrons produced by the fuel element of a reactor or by a pulsed source are moderated by the (heavy) water surrounding the core. Normally, the neutrons leave the reactor with a thermal velocity distribution. Cold sources, small vessels filled with liquid deuterium in the reactor tank, permit the neutron velocity distribution to be slowed down (`cold' neutrons) and lead to neutron wavelengths (range 0.4 to 2 nm) which are more useful for SANS. At reactors, a narrow wavelength band is usually selected for SANS either by an artificial-multilayer monochromator or ± more frequently, owing to the slow speed of cold neutrons ± by a velocity selector. This is a rotating drum with a large number (about 100) of helical slots at its circumference, situated at the entrance of the neutron guides used for collimation. Only neutrons of the suitable velocity are able to pass through this

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION drum. The wavelength resolution
l=l of velocity selectors is usually between 5 and 40% (full width at half-maximum, FWHM); 10 and 20% are frequently used values. Alternatively, time-of-flight (TOF) SANS cameras have been developed on pulsed neutron sources (e.g. Hjelm, 1988). These use short bunches (about 100 ms long) of neutrons with a `white' wavelength spectrum produced by a pulsed high-energy proton beam impinging on a target with a repetition rate of the order of 10 ms. The wavelength and, consequently, the Q value of a scattered neutron is determined by its flight time, if the scattering is assumed to be quasi-elastic. The dynamic Q range of TOF SANS instruments is rather large, especially in the high-Q limit, owing to the large number of rapid neutrons in the pulse. The low-Q limit is determined by the pulse-repetition rate of the source because of frame overlap with the following pulse. It can be decreased, if necessary with choppers turning in phase with the pulse production and selecting only every nth pulse. This disadvantage does not exist for reactor-based TOF SANS cameras, where the pulse-repetition rate can be optimally adapted to the chosen maximal and minimal wavelength. A principal problem for TOF SANS exists in the `upscattering' of cold neutrons, i.e. their gain in energy, by 1 H-rich samples: The background scattering may not arrive simultaneously with the elastic signal, and may thus not be attributed to the correct Q value (Hjelm, 1988). 2.6.2.1.2. Geometry With typical neutron wavelengths, low Q need not necessarily mean small angles: The interesting Q range for an inhomogeneity of dimension D can be estimated as 1=D < Q < 10=D. The scattering angle corresponding to the upper Q limit for D ˆ 10 nm is 1.4 for Cu K radiation, but amounts to 9.1 for neutrons of 10 nm wavelength. Consequently, it is preferable to speak of low-Q rather than of small-angle neutron scattering. `Pin-hole'-type cameras are the most frequently used SANS instruments; an example is the SANS camera D11 at the Institut Max von Laue±Paul Langevin in Grenoble, France (Ibel, 1976; Lindner, May & Timmins, 1992), from which some of the numbers below are quoted. Since the cross section of the primary beam is usually chosen to be rather large (e.g. 3  5 cm) for intensity reasons, pin-hole instruments tend to be large. The smallest Q value that can be measured at a given distance is just outside the image of the direct beam on the detector (which either has to be attenuated or is hidden behind a beamstop, a neutronabsorbing plate of several 10 cm2 , e.g. of cadmium). Very small Q values thus require long sample-to-detector distances. The area detector of D11, with a surface of 64  64 cm and resolution elements of 1 cm2 , moves within an evacuated tube of 1.6 m diameter and a length of 40 m. Thus, a Q range of 5  10 3 to 5 nm 1 is covered. The geometrical resolution is determined by the length of the free neutron flight path in front of the sample, moving sections of neutron guide into or out of the beam (`collimation'). In general, the collimation length is chosen roughly equal to the sample-to-detector distance. Thus, the geometrical and wavelength contributions to the Q resolution match at a certain distance of the scattered beam from the directbeam position in the detector plane. In order to resolve scattering patterns with very detailed features, e.g. of particles with high symmetry, longer collimation lengths are sometimes required at the expense of intensity. Much more compact double-crystal neutron diffractometers [described for X-rays by Bonse & Hart (1966)] are being used to reach the very small Q values of some 10 4 nm 1 typical of static light scattering. The sample is placed between two crystals. The

first crystal defines the wavelength and the direction of the incoming beam. The other crystal scans the scattered intensity. The resolution of such an instrument is mainly determined by the Darwin widths of the ideal crystals. This fact is reflected in the low neutron yield. Slit geometry can be used, but not 2D detectors. A recent development is the ellipsoidal-mirror SANS camera. The mirror, which needs to be of very high surface quality, focuses the divergent beam from a small (several mm2 ) source through the sample onto a detector with a resolution of the order of 1  1 mm. Owing to the more compact beam image, all other dimensions of the SANS camera can be reduced drastically (Alefeld, Schwahn & Springer, 1989). Whether or not there is a gain in intensity as compared with pin-hole geometry is strongly determined by the maximal sample dimensions. Long mirror with cameras (e.g. 20 m) are always superior to double-crystal instruments in this respect (Alefeld, Schwahn & Springer, 1989), and can also reach the light-scattering Q domain (Qmin of some 10 4 nm 1 , corresponding to particles of several mm dimension). 2.6.2.1.3. Correction of wavelength, slit, and detectorelement effects Resolution errors affect SANS data in the same way as X-ray scattering data, for which one may find a detailed treatment in an article by Glatter (1982b); there is one exception to this; namely, gravity, which of course only concerns neutron scattering, and only in rare cases (Boothroyd, 1989). Since SANS cameras usually work with pin-hole geometry, the influences of the slit sizes, i.e. the effective source dimensions, on the scattering pattern are small; even less important is, in general, the pixel size of 2D detectors. The preponderant contribution to the resolution of the neutron-scattering pattern is the wavelengthdistribution function after the monochromatizing device, especially at larger angles. The situation is more complicated for TOF SANS (Hjelm, 1988). As has been shown in an analytical treatment of the resolution function by Pedersen, Posselt & Mortensen (1990), who also quote some relevant references, resolution effects have a small influence on the results of the data analysis for scattering patterns with a smooth intensity variation and without sharp features. Therefore, one may assume that a majority of SANS patterns are not subjected to desmearing procedures. Resolution has to be considered for scattering patterns with distinct features, as from spherical latex particles (Wignall, Christen & Ramakrishnan, 1988) or from viruses (Cusack, 1984). Size-distribution and wavelength-smearing effects are similar; it is evident that wavelength effects have to be corrected for if the size distribution is to be obtained. Since measured scattering curves contain errors and have to be smoothed before they can be desmeared, iterative indirect methods are, in general, superior: A guessed solution of the scattering curve is convoluted with known smearing parameters and iteratively fitted to the data by a least-squares procedure. The guessed solution can be a simply parameterized scattering curve, without knowledge of the sample (Schelten & Hossfeld, 1971), but it is of more interest to fit the smeared Fourier transform of the distance-distribution function (Glatter, 1979) or the radial density distribution (e.g. Cusack, Mellema, Krijgsman & Miller, 1981) of a real-space model to the data. 2.6.2.2. Isotopic composition of the sample Unlike X-rays, which `see' the electron clouds of atoms within a sample, neutrons interact with the point-like nuclei. Since their

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2.6. SMALL-ANGLE TECHNIQUES form factor does not decay like the atomic form factor, an isotropic background from the nuclei is present in all SANS measurements. While X-ray scattering amplitudes increase regularly with the atomic number, neutron coherent-scattering amplitudes that give rise to the interference scattering necessary for structural investigations vary irregularly (see Bacon, 1975). Isotopes of the same element often have considerably different amplitudes owing to their different resonant scattering. The most prominent example of this is the difference of the two stable isotopes of hydrogen, 1 H and 2 H (deuterium). The coherent-scattering length of 2 H is positive and of similar value to that of most other elements in organic matter, whereas that of 1 H is negative, i.e. for 1 H there is a 180 phase shift of the scattered neutrons with respect to other nuclei. This latter difference has been exploited vastly in the fields of polymer science (e.g. Wignall, 1987) and structural molecular biology (e.g. Timmins & Zaccai, 1988), in mainly two complementary respects, contrast variation and specific isotopic labelling. In the metallurgy field, other isotopes are being used frequently for similar purposes, for example the nickel isotope 62 Ni, which has a negative scattering length, and the silver isotopes 107 Ag and 109 Ag (see the review of Kostorz, 1988). 2.6.2.2.1. Contrast variation The easiest way of using the scattering-amplitude difference between 1 H and 2 H is the so-called contrast variation. It was introduced into SANS by Ibel & Stuhrmann (1975) on the basis of X-ray crystallographic (Bragg & Perutz, 1952), SAXS (Stuhrmann & Kirste, 1965), and light-scattering (Benoit & Wippler, 1960) work. Most frequently, contrast variation is carried out with mixtures of light (1 H2 O) and heavy water (2 H2 O), but also with other solvents available in protonated and deuterated form (ethanol, cyclohexane, etc.). The scatteringlength density of H2 O varies between 0:562  1010 cm 2 for normal water, which is nearly pure 1 H2 O, and 6:404  1010 cm 2 for pure heavy water. The scattering-length densities of other molecules, in general, are different from each other and from pure protonated and deuterated solvents and can be matched by 1 H=2 H mixture ratios characteristic for their chemical compositions. This mixture ratio (or the corresponding absolute scattering-length density) is called the scattering-length-density match point, or, semantically incorrect, contrast match point. If a molecule contains noncovalently bound hydrogens, they can be exchanged for solvent hydrogens. This exchange is proportional to the ratio of all labile 1 H and 2 H present; in dilute aqueous solutions, it is dominated by the solvent hydrogens. A plot of the scattering-length density versus the 2 H=(2 H+1 H) ratio in the solvent shows a linear increase if there is exchange; the value of the match point also depends on solvent exchange. The fact that many particles have high contrast with respect to 2 H2 O makes neutrons superior to X-rays for studying small particles at low concentrations. The scattered neutron intensity from N identical particles without long-range interactions in a (very) dilute solution with solvent scattering density s can be written as I…Q† ˆ ‰ d…Q†= d ŠNTAI0
;

…2:6:2:1†

with the scattering cross section per particle and unit solid angle D R 2 E d…Q†= d ˆ ‰…r† s Š exp…iQ
r† dr : …2:6:2:1a†

The angle brackets indicate P averaging over all particle orientations. With …r† ˆ bi =Vp and I…0† ˆ constant 

R ‰…r† s Š dr 2 , we find that the scattering intensity at zero angle is proportional to P
 ˆ bi =Vp s ; …2:6:2:2† which is called the contrast. The exact meaning of Vp is discussed, for example, by Zaccai & Jacrot (1983), and for X-rays by Luzzati, Tardieu, Mateu & Stuhrmann (1976). The scattering-length density …r† can be written as a sum …r† ˆ 0 ‡ F …r†;

where 0 is the average scattering-length density of the particle at zero contrast,
 ˆ 0, and F …r† describes the fluctuations about this mean. I…Q† can then be written I…Q† ˆ …0

2 †2 Ic …Q† ‡ …0

s †Ics …Q† ‡ Is …Q†:

…2:6:2:4†

Is is the scattering intensity due to the fluctuations at zero contrast. The cross term Ics …Q† also has to take account of solvent-exchange phenomena in the widest sense (including solvent water molecules bound to the particle surface, which can have a density different from that of bulk water). This extension is mathematically correct, since one can assume that solvent exchange is proportional to
. The term Ic is due to the invariant volume inside which the scattering density is independent of the solvent (Luzzati, Tardieu, Mateu & Stuhrmann, 1976). This is usually not the scattering of a homogeneous particle at infinte contrast, if the exchange is not uniform over the whole particle volume, as is often the case, or if the particle can be imaged as a sponge (see Witz, 1983). The method is still very valuable, since it allows calculation of the scattering at any given contrast on the basis of at least three measurements at well chosen 1 H=2 H ratios (including data near, but preferentially not exactly at, the lowest contrasts). It is sometimes limited by 2 H-dependent aggregation effects. 2.6.2.2.2. Specific isotopic labelling Specific isotope labelling is a method that has created unique applications of SANS, especially in the polymer field. Again, it is mainly concerned with the exchange of 1 H by 2 H, this time in the particles to be studied themselves, at hydrogen positions that are not affected by exchange with solvent atoms, for example carbon-bound hydrogen sites. With this technique, isolated polymer chains can be studied in the environment of other polymer chains which are identical except for the hydrogen atoms, which are either 1 H or 2 H. Even if some care has to be taken as far as slightly modified thermodynamics are concerned, there is no other method that could replace neutrons in this field. Inverse contrast variation forms an intermediate between the two methods described above. The contrast with respect to the solvent of a whole particle or of well defined components of a particle, for example a macromolecular complex, is changed by varying its degree of deuteration. That of the solvent remains constant. Since solvent-exchange effects remain practically identical for all samples, the measurements can be more precise than in the classical contrast variation (Knoll, Schmidt & Ibel, 1985). 2.6.2.3. Magnetic properties of the neutron Since the neutron possesses a magnetic moment, it is sensitive to the orientation of spins in the sample [see, for example, Abragam et al. (1982)]. Especially in the absence of any other (isotopic) contrast, an inhomogeneous distribution of spins in the

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…2:6:2:3†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION sample is detectable by neutron low-Q scattering. The neutron spins need not be oriented themselves, although important contributions can be expected from measuring the difference between the scattering of neutron beams with opposite spin orientation. At present, several low-Q instruments are being planned or even built including neutron polarization and polarization analysis. Studies of magnetic SANS without (and rarely with) neutron polarization include dislocations in magnetic crystals and amorphous ferromagnets [see the review of Kostorz (1988)]. Janot & George (1985) have pointed out that it is important to apply contrast variation for suppressing surface-roughness scattering and/or volume scattering in order to isolate magnetic scattering contributions by matching the scattering-length density of the material with that of a mixture of heavy and light water or oil, etc.

Important new fields of low-Q scattering, such as dynamic studies of polymers in a shear gradient and time-resolved studies of samples under periodic stress or under high pressure, have become accessible by neutron scattering because the weak interaction of neutrons with (homogeneous) matter permits the use of relatively thick (several mm) sample container walls, for example of cryostats, Couette-type shearing apparatus (Lindner & OberthuÈr, 1985, 1988), and ovens. Air scattering is not prohibitive, and easy-to-handle standard quartz cells serve as sample containers rather than very thin ones with mica windows in the case of X-rays. Unlike with X-rays, samples can be relatively thick, and nevertheless be studied to low Q values. This is particularly evident for metals, where X-rays are usually restricted to thin foils, but neutrons can easily accept samples 1±10 mm thick. 2.6.2.6. Incoherent scattering

2.6.2.3.1. Spin-contrast variation For a long time, the magnetic properties of the neutron have been neglected as far as `nonmagnetic' matter is concerned. Spin-contrast variation, proposed by Stuhrmann (Stuhrmann et al., 1986; Knop et al., 1986), takes advantage of the different scattering lengths of the hydrogen atoms in its spin-up and spindown states. Normally, these two states are mixed, and the cross section of unpolarized neutrons with the undirected spins gives rise to the usual value of the scattering amplitude of hydrogen. If, however, one is able to orient the spins of a given atom, and especially hydrogen, then the interaction of polarized neutrons with the two different oriented states offers an important contribution to the scattering amplitude: A ˆ b ‡ 2BI
s;

2.6.2.5. Sample environment

…2:6:2:5†

where b is the isotropic nuclear scattering amplitude, B is the spin-dependent scattering amplitude, s is the neutron spin, and I the nuclear spin. For hydrogen, b ˆ 0:374  10 12 cm, B ˆ 2:9  10 12 cm. The sample protons are polarized at very low temperatures (order of mK) and high magnetic fields (several tesla) by dynamic nuclear polarization, i.e. by spin±spin coupling with the electron spins of a paramagnetic metallo-organic compound present in the sample, which are polarized by a resonant microwave frequency. It is clear that the principles mentioned above also apply to other than biological and chemical material. 2.6.2.4. Long wavelengths An important aspect of neutron scattering is the ease of using long wavelengths: Long-wavelength X-rays are produced efficiently only by synchrotrons, and therefore their cost is similar to that of neutrons. Unlike neutrons, however, they suffer from their strong interaction with matter. This disadvantage, which is acceptable with the commonly used Cu K radiation, is in most cases prohibitive for wavelengths of the order of 1 nm. Very low Q values are more easily obtained with long wavelengths than with very small angles, as is necessary with X-rays, since the same Q value can be observed further away from the direct beam. Objects of linear dimensions of several 100 nm, e.g. opals, where spherical particles of amorphous silica form a close-packed lattice with cell dimensions of up to several hundreds of nm, can still be investigated easily with neutrons. X-ray double-crystal diffractometers (Bonse & Hart, 1966), which may also reach very low Q, are subject to transmission problems, and neutron DCD's again perform better.

Incoherent scattering is produced by the interaction of neutrons with nuclei that are not in a fixed phase relation with that of other nuclei. It arises, for example, when molecules do not all contain the same isotope of an element (isotopic incoherent scattering). The most important source of incoherent scattering in SANS, however, is the spin-incoherent scattering from protons. It results from the fact that only protons and neutrons with identical spin directions can form an intermediate compound nucleus. The statistical probabilities of the parallel and antiparallel spin orientations, the similarity in size of the scattering lengths for spin up and spin down and their opposite sign result in an extremely large incoherent scattering cross section for 1 H, together with a coherent cross section of normal magnitude (but negative sign). Incoherent scattering contributes a background that can be by orders of magnitude more important than the coherent signal, especially at larger Q. On the other hand, it can be used for the calibration of the incoming intensity and of the detector efficiency (see below). 2.6.2.6.1. Absolute scaling Wignall & Bates (1987) compare many different methods of absolute calibration of SANS data. Since the scattering from a thin water sample is frequently already being used for correcting the detector response [see x2.6.2.6.2], there is an evident advantage for performing the absolute calibration by H2 O scattering. For a purely isotropic scatterer, the intensity scattered into a detector element of surface
A spanning a solid angle  ˆ
A=4L2 can be expressed as
I ˆ I0 …1

…2:6:2:6†

with Ti the transmission of the isotropic scatterer, i.e. the relation of the number of neutrons in the primary beam measured within a time interval
t after having passed through the sample, ITr , and the number of neutrons I0 observed within
t without the sample. In practice, Ti is measured with an attenuated beam; typical attenuation factors are about 100 to 1000. g is a geometrical factor taking into account the sample surface and the solid angle subtended by the apparent source, i.e. the cross section of the neutron guide exit. Vanadium is an incoherent scatterer frequently used for absolute scaling. Its scattering cross section, however, is more than an order of magnitude lower than that of protons. Moreover, the surface of vanadium samples has to be handled with much care in order to avoid important contributions from

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Ti † g=4;

2.6. SMALL-ANGLE TECHNIQUES surface scattering by scratches. The vanadium sample has to be hermetically sealed to prevent hydrogen incorporation (Wignall & Bates, 1987). The coherent cross sections of the two protons and one oxygen in light water add up to a nearly vanishing coherent-scatteringlength density, whereas the incoherent scattering length of the water molecule remains very high. The (quasi)isotropic incoherent scattering from a thin, i.e. about 1 mm or less, sample of 1 H2 O, therefore, is an ideal means for determining the absolute intensity of the sample scattering (Jacrot, 1976; Stuhrmann et al., 1976), on condition that the sample-to-detector distance L is not too large, i.e. up to about 10 m. A function f …t ‰H2 OŠ; l† that accounts for deviations from the isotropic behaviour due to inelastic incoherent-scattering contributions of 1 H2 O and for the influence of the wavelength dependence of the detector response has to be multiplied to the right-hand side of equation (2.6.2.6) (May, Ibel & Haas, 1982). f can be determined experimentally and takes values of around 1 for wavelengths around 1 nm. Since the intensity scattered into a solid angle
is I…Q† ˆ P…Q†NTs I0 g

P


2 s V ;

bi

…2:6:2:7†

where P…Q† is the form factor of the scattering of one particle, and the geometrical factor g can be chosen so that it is the same as that of equation (2.6.2.6) (same sample thickness and surface and identical collimation conditions), we obtain I…Q† ˆ 4P…Q†NTs f …t ‰H2 OŠ; l†

P

bi


2 s V =…1

T ‰H2 OŠ†: …2:6:2:8†

Note that the scattering intensities mentioned above are scattering intensities corrected for container scattering, electronic and neutron background noise, and, in the case of the sample, for the solvent scattering. 2.6.2.6.2. Detector-response correction For geometrical reasons (e.g. sample absorption), and in the case of 2D detectors also for electronic reasons, the scattering curves cannot be measured with a sensitivity uniform over all the angular region. Therefore, the scattering curve has to be corrected by that of a sample with identical geometrical properties, but scattering the neutrons with the same probability into all angles (at least in the forward direction). As we have seen previously, such samples are vanadium and thin cells filled with light water. Again, water has the advantage of a much higher scattering cross section, and is less influenced by surface effects. At large sample-to-detector distances (more than about 10 m), the scattering from water is not sufficiently strong to enable its use for correcting sample scattering curves obtained with the same settings. Experience shows that it is possible in this case to use a water scattering curve measured at a shorter sample-todetector distance. This should be sufficiently large not to be influenced by the deviation of the (flat) detector surface from the spherical shape of the scattered waves and small enough so that the scattering intensity per detector element is still sufficient, for example about 3 m. It is necessary to know the intensity loss factor due to the different solid angles covered by the detector element and by the apparent source in both cases. This can be determined, for instance, by comparing the global scattering intensity of water on the whole detector for both conditions (after correction for the background scattering) or from the intensity shift of the same sample measured at both detector distances in a plot of the logarithm of the intensity versus Q.

2.6.2.6.3. Estimation of the incoherent scattering level For an exact knowledge of the scattering curve, it is necessary to subtract the level of incoherent scattering from the scattering curve, which is initially a superposition of the (desired) coherent sample scattering, electronic and neutron background noise, and (sometimes dominant) incoherent scattering. A frequently used technique is the subtraction of a reference sample that has the same level of incoherent scattering, but lacks the coherent scattering from the inhomogeneities under study. Although this seems simple in the case of solutions, in practice there are problems: Very often, the 1 H=2 H mixture is made by dialysis, and the last dialysis solution is taken as the reference. The dialysis has to be excessive to obtain really identical levels of 1 H, and in reality there is often a disagreement that is more important the lower the sample concentration is. If the concentration is high, then the incoherent scattering from the sample atoms (protons) themselves becomes important. For dilute aqueous solutions, there is a procedure using the sample and reference transmissions for estimating the incoherent background level (May, Ibel & Haas, 1982): The incoherent scattering level from the sample, Ii;s , can be estimated as Ii;s ˆ I‰H2 OŠ fl …1

T ‰H2 OŠ†;

…2:6:2:9†

where I‰H2 OŠ is the scattering from a water sample, T ‰H2 OŠ is transmission, Ts that of the sample. fl is a factor depending on the wavelength, the detector sensibility, the solvent composition, and the sample thickness; it can be determined experimentally by plotting Ii;s =I‰H2 OŠ versus …1 Ts †=…1 T ‰H2 OŠ† for a number of partially deuterated solvent mixtures. This procedure is justified because of the overwhelming contribution of the incoherent scattering of 1 H to the macroscopic scattering cross section of the solution, and therefore to its transmission. The procedure should also be valid for organic solvents. The precision of the estimation is limited by the precision of the transmission measurement, the relative error of which can hardly be much better than about 0.005 for reasonable measuring times and currently available equipment, and by the (usually small) contribution of the coherent cross section to the total cross section of the solution. A modified version of (2.6.2.9) can be used if a solvent with a transmission close to that of a sample has been measured, but the factor fl should not be omitted. An equation similar to (2.6.2.9) holds for systems with a larger volume occupation c of particles in a (protonated) solvent with a scattering level Iinc in a cell with identical pathway (without the particles): Ii;s ˆ Iinc …1

1 c Tinc †=…1

Tinc †:

…2:6:2:9a†

In this approximation, the particles' cross-section contribution is assumed to be zero, i.e. the particles are considered as bubbles. In the case of dilute systems of monodisperse particles, the residual background (after initial corrections) can be quite well estimated from the zero-distance value of the distance-distribution function calculated by the indirect Fourier transformation of Glatter (1979). 2.6.2.6.4. Inner surface area According to Porod (1951, 1982), small-angle scattering curves behave asymptotically like I…Q† ˆ constant  As Q 4 for large Q, where As is the inner surface of the sample. Theoretically, fitting a straight line to I…Q†Q4 versus Q4 (`Porod plot') at sufficiently large Q therefore yields a zero intercept, which is proportional to the internal surface; a slope

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Ts †=…1

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION can be interpreted as a residual constant background (including the self-term of the constant nuclear `form factor'), which may be used for slightly correcting the estimated background and consequently improving the quality of the data. For monodispersed particles, a particle surface can be deduced from the overall surface. The value of the surface area so determined depends on the maximal Q to which the scattering curve can be obtained with good statistics. This depends also on the magnitude of the background. At least for weakly scattering particles in mixtures of 1 H2 O and 2 H2 O, and even more in pure 1 H2 O, the incoherent background level often cannot be determined precisely enough for interpreting the tail of the scattering curve in terms of the surface area.

2.6.2.7.2. Particle mass With N ˆ CNA Vs =Mr , where NA is Avogadro's number, C is the mass concentration of the solute in g l 1 , and Vs is the sample volume in cm 3 (we assume N identical particles randomly distributed in dilute solution), we find that the relative molecular mass Mr of a particle can be determined from the intensity at zero angle, I…0† in equation (2.6.2.10), using the relation (Jacrot & Zaccai, 1981), where the particle mass concentration C (in mg ml 1 ) is omitted: I…0†=fCI‰H2 OŠ…0†g ˆ 4 f Ts Mr NA ds 10

Single-particle scattering in this context means scattering from isolated structures (clusters in alloys, isolated polymer chains in a solvent, biological macromolecules, etc.) randomly distributed in space and sufficiently far away from each other so that interparticle contributions to the scattering (see Subsection 2.6.2.8) can be neglected. The tendency of polymerization of single particles, for example the monomer±dimer equilibrium of proteins or the formation of higher aggregates, and long-range (e.g. electrostatic) interactions between the particles disturb single-particle scattering. In the absence of such effects, samples with solute volume fractions below about 1% can be regarded as free of volume-exclusion interparticle effects for most purposes. For (monodispersed) protein samples, for example, this means that concentrations of about 5 mg ml 1 are often a good compromise between sufficient scattering intensity and concentration effects. In many cases, series of scattering measurements with increasing particle concentrations have been used for extrapolating the scattering to zero concentration. In the following, we assume that particle interactions are absent.

bi

s V




Mr

2 

…1

T ‰H2 OŠ†: …2:6:2:11†

ds is the sample thickness. Note that bi =Mr may depend on solvent exchange; in a given solvent, especially 1 H2 O, it is rather independent of the exact amino acid composition of proteins (Jacrot & Zaccai, 1981). An alternative presentation of equation (2.6.2.11) is I…0†=fCI‰H2 OŠ…0†g ˆ 4 f Ts Mr ds 10 3 …v
†2 =NA …1

T ‰H2 OŠ†;

…2:6:2:11a†

where
 ˆ p …s † s is the contrast; p is the particle scattering-length density (depending on the scattering-length density s of the solvent, in general) and v is the partial specific volume of the particle. Expression (2.6.2.11a) is of advantage when …v
†, which is a linear function of s , is known for a class of particles. A thermodynamic approach to the particle-size problem, in view of the complementarity of different methods, has been given Zaccai, Wachtel & Eisenberg (1986) on the basis of the theory of Eisenberg (1981). It permits the determination of the molecular mass, of the hydration, and of the amount of bound salts.

2.6.2.7.1. Particle shape

2.6.2.7.3. Real-space considerations

All X-ray and neutron small-angle scattering curves can be approximated by a parabolic fit in a narrow Q range near Q ˆ 0 (Porod, 1951): I…Q† ' I…0† …1 a2 Q2 =3 ‡ . . .). In the case of single-particle scattering, a Gaussian approximation to the scattering curve is even more precise (Guinier & Fournet, 1955) in the zero-angle limit: …2:6:2:10†

where RG is the radius of gyration of the particle's excess scattering density. The concept of RG and the validity of the Guinier approximation is discussed in more detail in the SAXS section of this volume (x2.6.1). It might be mentioned here that the frequently used QRG < 1 rule for the validity of the Guinier approximation is no more than an indication and should always be tested by a scattering calculation with the model obtained from the experiment: Spheres yield a deviation of 5% of the Gaussian approximation at QRG ˆ 1:3, rods at QRG ˆ 0:6; ellipsoids of revolution with an elongation factor of 2 can reach as far as QRG ˆ 3. More detailed shape information requires a wider Q range. As indicated before, Fourier transforms may help to distinguish between conflicting models. In many instances (e.g. hollow bodies, cylinders), it is much easier to find the shape of the scattering particle from the distance distribution function than from the scattering curve [see x2.6.2.7.3].

The scattering from a large number of randomly oriented particles at infinite dilution, and as a first approximation that of particles at sufficiently high dilution (see above), is completely determined by a function p…r† in real space, the distancedistribution function. It describes the probability p of finding a given distance r between any two volume elements within the particle, weighted with the product of the scattering-length densities of the two volume elements. Theoretically, p…r† can be obtained by an infinite sine Fourier transform of the isolated-particle scattering curve I…Q† ˆ

R1 0

‰ p…r†=QrŠ sin…Qr† dr:

…2:6:2:12†

In practice, the scattering curve can be measured neither to Q ˆ 0 (but an extrapolation is possible to this limit), nor to Q ! 1. In fact, neutrons allow us to measure more easily the sample scattering in the range near Q ˆ 0; X-rays are superior for large Q values. Indirect iterative methods have been developed that fit the finite Fourier transform I…Q† ˆ

DR max 0

‰ p…r†=QrŠ sin…Qr† dr

…2:6:2:12a†

of a p…r† function described by a limited number of parameters between r ˆ 0 and a maximal chord length Dmax within the particle to the experimental scattering curve. It differs from the p…r† of Section 2.6.1 by a factor of 4.

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 P

P

2.6.2.7. Single-particle scattering

I…Q† ' I…0† exp… Q2 =3R2G †;

3

2.6. SMALL-ANGLE TECHNIQUES This procedure was termed the `indirect Fourier transformation (IFT)' method by Glatter (1979), who uses equidistant B splines in real space that are correlated by a Lagrange parameter, thus reducing the number of independent parameters to be fitted. Errors in determining a residual flat background only affect the innermost spline at r ˆ 0; the intensity at Q ˆ 0 and the radius of gyration are not influenced by a (small) flat background. Another IFT method was introduced by Moore (1980), who uses an orthogonal set of sine functions in real space. This procedure is more sensitive to the correct choice of Dmax and to a residual background that might be present in the data. A major advantage of IFT is the ease with which the deconvolution of the scattering intensities with respect to the wavelength distribution and to geometrical smearing due to the primary beam and sample sizes is calculated by smearing the theoretical scattering curve obtained from the real-space model. In fact, it is possible to convolute the scattering curves obtained from the single splines that are calculated only once at the beginning of the fit procedure. The convoluted constituent curves are then iteratively fitted to the experimental scattering curves. With the exception of particle symmetry, which is better seen in the scattering curve, structural features are more easily recognized in the p…r† function (Glatter, 1982a). Once the p…r† function is determined, the zero-angle intensity and the radius of gyration can be calculated from its integral and from its second moment, respectively. 2.6.2.7.4. Particle-size distribution Indirect Fourier transformation also facilitates the evaluation of particle-size distributions on the assumption that all particles have the same shape and that the size distribution depends on only one parameter (Glatter, 1980). 2.6.2.7.5. Model fitting As in small-angle X-ray scattering, the scattering curves can be compared with those of simple or more elaborate models. This is rather straightforward in the case of highly symmetric particles like icosahedral viruses that can be regarded as spherical at low resolution. The scattering curves of such viruses are easily adapted by spherical-shell models assigning different scattering-length densities to the different shells (e.g. Cusack, 1984). Neutron constrast variation helps decisively to distinguish between the shells. Fitting complicated models to the scattering curves is more critical because of the averaging effect of small-angle scattering. While it is correct and easy to show that the scattering curve produced by a model body coincides with the measured curve, in general a unique model cannot be deduced from the scattering curve alone. Stuhrmann (1970) has presented a procedure using Lagrange polynomials to calculate low-resolution real-space models directly from the scattering information. It has been applied successfully to the scattering curves from ribosomes (Stuhrmann et al., 1976). 2.6.2.7.6. Label triangulation Triangulation is one of the techniques that make full use of the advantages of neutron scattering. It consists in specifically labelling single components of a multicomponent complex, measuring the scattering curves from (a) particles with two labelled components, (b) and (c) particles with either of the two components labelled, and (d) a (reference) particle that is not labelled at all. The comparison of the scattering from …b† ‡ …c†

with that from …a† ‡ …d† yields information on the scattering originating exclusively from vectors combining volume elements in one component with volume elements in the other component. From this scattering difference curve, the distances between the centres of mass of the components are obtained. A table of such distances yields the spatial arrangement of the components. If there are n components in the complex, at least 4n 10 for n > 3 distance values are needed to build this model: Three distances define a basic triangle, three more yield a basic tetrahedron, the handedness of which is arbitrary and has to be determined by independent means. At least four more distances are required to fix a further component in space. More than four distances are needed if the resulting tetrahedron is too flat. Label triangulation is based on a technique developed by Kratky & Worthmann (1947) for determining heavy-metal distances in organometallic compounds by X-ray scattering, and was proposed originally by Hoppe (1972); Engelman & Moore (1972) first saw the advantage of neutrons. The need to mix preparations (a) plus (d) and (b) plus (c) for obtaining the desired scattering difference curve in the case of high concentrations and/or inhomogeneous complexes (consisting of different classes of matter) has been shown by Hoppe (1973). The complete map of all protein positions within the small subunit from E: coli ribosomes has been obtained with this method (Capel et al., 1987). An alternative approach for obtaining the distance information contained in the scattering curves from pairs of proteins by fitting the Fourier transform of `moving splines' to the scattering curves has been presented by May & Nowotny (1989) for data on the large ribosomal subunit. The scattering curves should be measured at the scatteringlength-density matching point of the reference particle for reducing undesired contributions. Naturally inhomogeneous particles can be rendered homogeneous by specific partial deuteration. This technique has been successfully applied for ribosomes (Nierhaus et al., 1983). 2.6.2.7.7. Triple isotropic replacement An elegant way of determining the structure of a component inside a molecular complex has been proposed by Pavlov & Serdyuk (1987). It is based on measuring the scattering curves from three preparations. Two contain the complex to be studied at two different levels of labelling, 1 and 2 , and are mixed together to yield sample 1, the third contains the complex at an intermediate level of labelling, 3 (sample 2). If the condition 3 …r† ˆ …1

…2:6:2:13†

is satisfied by , the relative concentration of particle 2 in sample 1, then the difference between the scattering from the two samples only contains contributions from the single component. Additionally, the contributions from contamination, aggregation, and interparticle effects are suppressed provided that they are the same in the three samples, i.e. independent of the partialdeuteration states. In the case of small complexes,  can be obtained by measuring the scattering curves I1 …Q†; I2 …Q†; and I3 …Q† of the three particles as a function of contrast and by plotting the differences of the zero-angle scattering I1 …0† I3 …0† and I2 …0† I3 …0† versus . The two curves intercept at the correct ratio 0 . The method, which can be considered as a special case of a systematic inverse contrast variation of a selected component, holds if the concentrations, the complex occupations, and the aggregation behaviour of the three particles are identical. Mathematically, the difference curve is independent of the

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†1 …r† ‡ 2 …r†

2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION

P P  S…Q† ˆ exp‰iQ…rj rk †Š N;

contrast of the rest of the complex with respect to the solvent. In practice, it would be wise to follow the same considerations as with triangulation.

and of the form factor P…Q† of the inhomogeneities (as before): I…Q† ˆ P…Q†S…Q†:

2.6.2.8. Dense systems Especially in the case of polymers, but also in alloys, the scattering from the sample can often no longer be described, as in the previous section, as originating from a sum of isolated particles in different orientations. There may be two reasons for this: either the number concentration c of one of the components is higher than about 0.01, leading to excluded-volume effects, and/or there is an electrostatic interaction between components (for example, in solutions of polyelectrolytes, latex, or micelles). In these cases, it is usually the information about the structure of the sample caused by the interactions that is to be obtained rather than the shape of the inhomogeneities or particles in the sample, unless the interactions can be regarded as a weak disturbance. An excellent introduction to the treatment of dense systems is found in the article of Hayter (1985). A detailed description of the theoretical interpretation of correlations in charged macromolecular and supramolecular solutions has been published by Chen, Sheu, Kalus & Hoffmann (1988). The scattering from densely packed particles can be written as the product of the structure factor or structure function S…Q†, describing the arrangement of the inhomogeneities with respect to each other, in mathematical terms the interference effects of correlations between particle positions, in the sample,

…2:6:2:15†

Hayter & Penfold (1981) were the first to describe an analytic structure factor for macro-ion solutions. If P…Q† can be obtained from a measurement of a dilute solution of the particles under study, then the pure structure factor can be calculated by dividing the high-concentration intensity curve by the low-concentration curve. This procedure requires the form factor not to change with concentration, which is not necessarily the case for loosely arranged particles such as polymers. A technique that avoids this problem is contrast variation (see Subsection 2.6.2.2): introducing a fraction of a deuterated molecule into a bulk of identical protonated molecules (or vice versa, with the advantage of reduced incoherent background) yields the scattering of the `isolated' labelled particle at high-concentration conditions. Partial structure factors can be obtained from a contrastvariation series of a given system at different volume fractions of the particles. Similarly to equation (2.6.2.4), the structure factor can be decomposed into a quadratic function. In the ternary alloy Al±Ag±Zn, for example, the scattering has been decomposed into the contributions from the two minor species Ag and Zn, and their interference, i.e. the partial structure functions for Zn±Zn, Zn±Ag, and Ag±Ag, by using the scattering from three samples with different silver isotopes, and identical sample treatment (Salva-Ghilarducci, Simon, Guyot & Ansara, 1983).

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…2:6:2:14†

International Tables for Crystallography (2006). Vol. C, Chapter 2.7, pp. 113–123.

2.7. Topography By A. R. Lang

2.7.1. Principles The term diffraction topography covers techniques in which images of crystals are recorded by Bragg-diffracted rays issuing from them. It can be arranged at will for these rays to produce an image of a surface bounding the crystal, or of a thin slice cutting through the crystal, or of the projection of a selected volume of the crystal. The majority of present-day topographic techniques aim for as high a spatial resolution as possible in their point-bypoint recording of intensity in the diffracted rays. In principle, any position-sensitive detector with adequate spatial resolution could be employed for recording the image. Photographic emulsions are most widely used in practice. In the following accounts of the various diffraction geometries developed for topographic experiments, the term `film' will be used to stand for photographic emulsion coated on film or on glass plate, or for any other position-sensitive detector, either integrating or capable of real-time viewing, that could serve instead of photographic emulsion. (Position-sensitive detectors, TV cameras, and storage phosphors are described in Sections 7.1.6, 7.1.7, and 7.1.8.) All diffraction geometries described with reference to an X-ray source could in principle be used with neutron radiation of comparable wavelength (see Chapter 4.4). Two factors, often largely independent and experimentally distinguishable, determine the intensity that reaches each point on the topograph image. The first is simply whether or not the corresponding point in the specimen is oriented so that some rays within the incident beam impinging upon it can satisfy the Bragg condition. The intensity of the Bragg-reflected rays will range between maximum and minimum values depending upon how well that condition is satisfied. The consequent intensity variation from point to point on the image is called orientation contrast, and it can be analysed to provide a map of lattice misorientations in the specimen. The sensitivity of misorientation measurement is controllable over a wide range by appropriate choice of diffraction geometry, as will be explained below. The second factor determining the diffracted intensity is the lattice perfection of the crystal. In this case, physical factors such as X-ray wavelength, specimen absorption, and structure factor of the active Bragg reflection fix the range within which the diffracted intensity can lie. One limit corresponds to the case of the ideally perfect crystal. This is a well defined entity, and its diffraction behaviour is well understood [see IT B (1996, Part 5)]. The other limit is that of the ideally imperfect crystal, a less precisely defined entity, but which, for practical purposes, may be taken as a crystal exhibiting negligible primary and secondary extinction. The magnitude, and sometimes also the sign, of the difference in intensity recorded from volume elements of ideally perfect as opposed to ideally imperfect crystals is to a large degree controllable by the choice of experimental parameters (in particular by choice of wavelength). Contrast on the topograph image arising from point-to-point differences in lattice perfection of the specimen crystal was called extinction contrast in earlier X-ray topographic work, but is now more usually called diffraction contrast to conform with terminology used in transmission electron microscopic observations of lattice defects, experiments which have many analogies with the X-ray case. Figs. 2.7.1.1 and 2.7.1.2, respectively, show in plan view the simplest arrangements for taking a reflection topograph and a transmission topograph. The source of X-rays is shown as being point-like at S. If its wavelength spread is large then the Bragg

condition may be satisfied over the whole length CD for Bragg planes oriented parallel to BB0 , and an image of CD will be formed on F by the Bragg-diffracted rays falling on it. The specimen is mounted on a rotatable axis (the ! axis) perpendicular to the plane of the drawing, which represents the median plane of incidence, in order that the angle of incidence on the planes BB0 can be varied. The specimen is usually adjusted so that the diffraction vector, h, of the Bragg reflection of principal interest is perpendicular to the ! axis. Let the mean source-tospecimen and specimen-to-film distances be a and b, respectively. Suppose the source S is extended a distance s in the axial direction (i.e. perpendicular to the plane of incidence). Then diffracted rays from any point on CD will be spread on F over a distance s…b=a† in the axial direction. This is the simple expression for the axial resolution of the topograph given by ray optics. Transmission topographs have the value of showing defects within the interior of specimens, which may be optically opaque, but are in practice limited to a specimen thickness, t, such that t is less than a few units ( being the normal linear absorption coefficient) unless the specimen structure and the perfection are such as to allow strong anomalous transmission [the Borrmann effect, see IT B (1996, Part 5)]. If a reflection topograph specimen is a nearly perfect crystal then the volume of crystal contributing to the image is restricted to a depth below the surface given approximately by the X-ray extinction distance, h , of the active Bragg reflection, which may be only a few micrometres, rather than the penetration distance,  1 , of the radiation used. Besides the ratio b=a, other important experimental parameters are the degree of collimation of the incident beam and its wavelength spread. The manner in which X-ray topographs exhibit orientation contrast and diffraction contrast under different choices of these parameters is illustrated schematically in Fig. 2.7.1.3. There, …a† represents a hypothetical specimen consisting of a matrix of perfect crystal C in which are embedded two islands A and B whose lattices differ from C in the following respects. A has the same mean orientation as C but is a region of

Fig. 2.7.1.1. Surface reflection topography with a point source of diverging continuous radiation.

Fig. 2.7.1.2. Transmission topography with a point source of diverging continuous radiation.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION high imperfection. (In reflection topographs, imperfect regions will always produce stronger integrated reflections than perfect regions and will also do so in transmission topographs under low-absorption conditions.) The island B is assumed to be as perfect as C, but is slightly misoriented with respect to C. The topograph images sketched in …b†±…e† could represent either reflection topographs or transmission topographs from a specimen thin compared with the dimension CD in Fig. 2.7.1.2. [Possible distortion of the images relative to the shape of …a† is neglected: this matter is considered later.] First, suppose that continuous radiation is emitted from the source S. If the ratio b=a is quite small, the topograph image will resemble …b†. The island A is detected by diffraction contrast whereas island B will not show any area contrast since by assumption the incident radiation contains wavelengths enabling B to satisfy the Bragg condition just as well as C. The low-angle B±C boundary may show up, however, since it contains dislocations that will produce diffraction contrast and might be individually resolvable with a high-resolution topographic technique. Orientation contrast of B becomes manifest when b is increased, and measurement of the misorientation is then possible from the displacement of the image of B [as shown in …c†] consequent upon the different direction of Bragg-reflected rays issuing from it compared with those from C. Next, suppose that S emits a limited range of wavelengths, e.g. characteristic K radiation, and let the incident beam be collimated to have an angular spread in the plane of incidence that is smaller than the component in that plane of the misorientation between B and C, but larger than the angular range of reflection of C or A. Then, if the specimen is rotated about the ! axis so that A and C satisfy the Bragg condition, B will not do so and the topograph will resemble …d†. [Island A shows up in …d† by diffraction contrast, as in …b†.]. Appropriate rotation of the specimen will bring B into the Bragg-reflecting orientation, but will eliminate reflection from A and C, as shown in …e†. The images …d† and …e† will not undergo significant change with variation in the ratio b=a, except for loss of resolution as b=a increases. The sensitivity of misorientation measurement will increase as the angular and wavelength spread of the incident beam are reduced, but when the angular range of a monochromatic incident beam is lowered to a value comparable with the angular range of reflection of the perfect crystal (generally only a few seconds of arc), it will not be possible with one angular setting alone to obtain an image that will distinguish between diffraction contrast and orientation contrast in the clear way shown in …d†. The distinction will require comparison of a series of topographs obtained during a step-wise sweep of the

Fig. 2.7.1.3. Differentiation between orientation contrast and diffraction contrast in types of topograph images, …b†±…e†, of a crystal surface …a†.

angular range of reflection by the specimen. This is the procedure adopted in double-crystal or multicrystal topography, as described in Sections 2.7.3 and Subsection 2.7.4.2. Details concerning diverse variants in diffraction geometry used in X-ray topographic experiments, treatments of the diffraction contrast theory underlying X-ray topographic imaging of lattice defects, and listings of applications of X-ray topography can be found in reviews and monographs of which a selection follows. All aspects of X-ray topography are covered in the survey edited by Tanner & Bowen (1980). Armstrong & Wu (1973), Tanner (1976), and Lang (1978) describe experimental techniques and review their applications. The dynamicaldiffraction theoretical basis of X-ray topography is emphasized by Authier (1970, 1977). Kato (1974) and Pinsker (1978) deal comprehensively with X-ray dynamical diffraction theory, which is also the topic of Part 5 of IT B (1996). Introductions to this theory have been presented by Batterman & Cole (1964), Hart (1971), and Hildebrandt (1982), the latter two being especially relevant to X-ray topography. 2.7.2. Single-crystal techniques 2.7.2.1. Reflection topographs Combining the simple diffraction geometry of Fig. 2.7.1.1 with a laboratory microfocus source of continuous radiation offers a simple yet sensitive technique for mapping misorientation textures of large single crystals (Schulz, 1954). One laboratory X-ray source much used produces an apparent size of S 30 mm in the axial direction and 3 mm in the plane of incidence. Smaller source sizes can be achieved with X-ray tubes employing magnetic focusing of the electron beam. Then b=a ratios between 12 and 1 can be adopted without serious loss of geometric resolution, and, with a ˆ 0:3 m typically, misorientation angles of 1000 can be measured on images of the type …c† in Fig. 2.7.1.3. The technique is most informative when the crystal is divided into well defined subgrains separated by low-angle boundaries, as is often the case with annealed melt-grown crystals. On the other hand, when continuous lattice curvature is present, as is usually the case in all but the simplest cases of plastic deformation, it is difficult to separate the relative contributions of orientation contrast and diffraction contrast on topographs taken by this method. In principle, the separation could be effected by recording a series of exposures with a wide range of values of b, and it becomes practicable to do so when exposures can be brief, as they can be with synchrotron-radiation sources (see Section 2.7.4.). For easier separation of orientation contrast and diffraction contrast, and for quicker exposures with conventional X-ray sources, collimated characteristic radiation is used, as in the Berg±Barrett method. Barrett (1945) improved an arrangement earlier described by Berg (1931) by using fine-grain photographic emulsion and by minimizing the ratio b=a, and achieved high topographic resolution ( 1 mm). The method was further developed by Newkirk (1958, 1959). A typical Berg±Barrett arrangement is sketched in Fig. 2.7.2.1. Usually, the source S is

Fig. 2.7.2.1. Berg±Barrett arrangement for surface-reflection topographs.

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2.7. TOPOGRAPHY the focal spot of a standard X-ray tube, giving an apparent source 1 mm square perpendicular to the incident beam. The openings of the slits S1 and S2 are also 1 mm in the plane of incidence, and the distance S1 ±S2 (which may be identified with the distance a† is typically 0.3 m. The specimen is oriented so as to Bragg reflect asymmetrically, as shown. Softer radiations, e.g. Cu K, Co K or Cr K, are employed and higher-angle Bragg reflections are chosen …2B ' 90 is most convenient). Fig. 2.7.2.1 indicates three possible film orientations, F1 ±F3 . (These possibilities apply in most X-ray topographic arrangements.) Choice of orientation is made from the following considerations. If minimum distance b is required over the whole length CD, then position F1 is most appropriate. If a geometrically undistorted image of CD is needed, then position F2 , in which the film plane is parallel to the specimen surface, satisfies this condition. If a thick emulsion is used, it should receive X-rays at normal incidence, and be in orientation F3 . If high-resolution spectroscopic photographic plates are used, in which the emulsion thickness is  1 mm only, then considerable obliquity of incidence of the X-rays is tolerable. But these plates have low X-ray absorption efficiency. Nuclear emulsions (particularly Ilford type L4) are much used in X-ray topographic work. Ilford L4 is a high-density emulsion (halide weight fraction 83%) and hence has high X-ray stopping power. The usual minimum emulsion thickness is 25 mm. Such emulsions should be oriented not more than about 2 off perpendicularity to the X-ray beam if resolution loss due to oblique incidence is not to exceed 1 mm (with correspondingly closer limits on obliquity for thicker emulsions). With 1 mm openings of S1 and S2 , and a ˆ 0:3 m, most of the irradiated area of CD will receive an angular range of illumination sufficient to allow both components of the K doublet to Bragg reflect. In these circumstances, the distance b must be everywhere less than 1±2 mm if image spreading due to superimposition of the 1 and 2 images is not to exceed a few micrometres. In order to eliminate this major cause of resolution loss (and, incidentally, gain sensitivity in misorientation measurements), the apertures S1 and S2 should be narrowed and/or a increased so that the angular range of incidence on the specimen is less than the difference in Bragg angle of the 1 and 2 components for the particular radiation and Bragg angle being used. (This condition applies equally in the transmission specimen techniques, described below.). With a narrower beam, the illuminated length of CD is reduced. This disadvantage may be overcome by mounting the specimen and film together on a linear traverse mechanism so that during the exposure all the length of CD of interest is scanned. In this way, surface-reflection X-ray topographs can be recorded for comparison with, say, etch patterns or cathodoluminescence patterns (Lang, 1974).

radiation transmission topograph images. Their minimum b=a ratio was set by the need to avoid overlap of Laue images of the crystal produced by different Bragg planes. Collimated characteristic radiation is used in the methods of `section topographs' (Lang, 1957) and `projection topographs' (Lang, 1959a), the latter being sometimes called `traverse topographs'. Fig. 2.7.2.2 explains both techniques. When taking a section topograph, the specimen CD, usually plate shaped, is stationary (disregard the double-headed arrow in the figure). The ribbon-shaped incident beam issuing from the slit P is Bragg reflected by planes normal, or not far from normal, to the major surfaces of the specimen. As drawn, the Bragg planes make an angle  with the normal to the X-ray entrance surface of the specimen, the positive sense of  being taken in the same sense as the deviation 2B of the Bragg-reflected rays. If the crystal is sufficiently perfect for multiple scattering to occur within it (with or without loss of coherence), then the multiply scattered rays associated with the Bragg reflection excited will fill the volume of the triangular prism whose base is ORT, the `energy-flow triangle' or `Borrmann triangle', contained between OT and OR whose directions are parallel to the incident wavevector, K0 , and diffracted wavevector, Kh , respectively. Both the K0 and Kh beams issuing from the X-ray exit surface of the crystal carry information about the lattice defects within the crystal. However, it is usual to record only the Kh beam. This falls on the film, F, in a strip extending normal to the plane of incidence, of height equal to the illuminated height of the specimen multiplied by the axial magnification factor …a ‡ b†=a, and forms the section topograph image. The screen, Q, prevents the K0 beam from blackening the film but has a slot allowing the diffracted beam to fall on F. A diffraction-contrast-producing lattice defect cut by OT at I will generate supplementary rays parallel to Kh and will produce an identifiable image on F at I 0 , the `direct image' or `kinematic image' of the defect. The depth of I within CD can be found via the measurement of I 0 T 0 =R0 T 0 . From a series of section topographs taken with a known translation of the specimen between each topograph, a three-dimensional construction of the trajectory of defect I (e.g. a dislocation line) within the crystal can be built up. To obtain good definition of the spatial width of the ribbon incident beam cutting the crystal, the distance between P and the crystal is kept small. The minimum practicable opening of P is about 10 mm. If diffraction is occurring from planes perpendicular to the X-ray entrance surface of the specimen, i.e. symmetrical Laue case diffraction, the width R0 T 0 of the section topograph image is simply 2t sin B , t being the specimen thickness, and neglecting the contribution from the

2.7.2.2. Transmission topographs The term `X-ray topograph' was introduced by Ramachandran (1944) who took transmission topographs of cleavage plates of diamond using essentially the arrangement shown in Fig. 2.7.1.2. (In this case, S was a 0.3 mm diameter pinhole placed in front of the window of a W-target X-ray tube so as to form a point source of diverging continuous radiation.) Ramachandran adopted a distance a ˆ 0:3 m and ratio a=b of about 12, which produced images of about 25 mm geometrical resolution having the characteristics of Fig. 2.7.1.3…b†, i.e. sensitive to diffraction contrast but not to orientation contrast. For each reflection under study, the film was inclined to the incident beam with that obliquity calculated to produce an undistorted image of the specimen plate. Guinier & Tennevin (1949) studied both diffraction contrast and orientation contrast in continuous-

Fig. 2.7.2.2. Arrangements for section topographs and projection topographs.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION width of the ribbon incident beam. With asymmetric transmission, as drawn in the figure, R0 T 0 ˆ t sec …B † sin 2B . The distance b is made as small as is permitted by the specimen shape and the need to separate the emerging K0 and Kh beams. Suppose b is 10 mm. Then, with a source S having axial extension 100 mm, the distance a ˆ SP should be not less than 0.5 m in order to keep the geometrical resolution in the axial direction better than 2 mm, and should be correspondingly longer with larger source sizes. To take a projection topograph, the specimen CD and the cassette holding the film F are together mounted on an accurate linear traversing mechanism that oscillates back and forth during the exposure so that the whole area of interest in the specimen is scanned by the ribbon beam from P. The screen Q is stationary. If the specimen is plate shaped, the best traverse direction to choose is that parallel to the plate, as indicated by the doubleheaded arrow, for then the diffracted beam will have minimum side-to-side oscillation during the traverse oscillation, the opening of Q can be held to a minimum, and thereby unwanted scattering reaching F kept low. The projection topograph image is an orthographic projection parallel to Kh of the crystal volume and its content of diffraction-contrast-producing lattice defects. If the specimen is plate-like, of length L in the plane of incidence, then, with F normal to Kh , the magnification of the topograph image in the direction parallel to the plane of incidence is L cos…B ‡ †. There will generally be a small change of axial magnification …a ‡ b†=a along L. The loss of three-dimensional information occurring through projection can be recovered by taking stereopairs of projection topographs. The first method (Lang, 1959a,b) used hkl, h k l pairs of topographs as stereopairs. One disadvantage of this method is that the convergence angle is fixed at 2B , which may be unsuitably large for thick specimens. The method of Haruta (1965) obtains two views of the specimen using the same hkl reflection, by making a small rotation of the specimen about the h vector between the two exposures, and has the advantage that this rotation, and hence the stereoscopic sensitivity, can be chosen at will. When taking projection topographs, the slit P can be wider than the narrow opening needed for high-resolution section topographs, but not so wide as to cause unwanted K2 reflection

Fig. 2.7.2.3. Arrangements for limited projection topographs and direct-beam topographs.

to occur. Best use of the X-ray source is made when the width of P is the same as or somewhat greater than S. In certain investigations, the methods of Kh -beam `limited projection topographs' (Lang, 1963) and of K0 -beam section topographs and projection topographs are useful; Fig. 2.7.2.3 shows the arrangement of screens and diffracted-beam slits then adopted. The limited projection topograph technique can be employed with a plate-shaped specimen CDD0 C 0 , as in the following examples. Suppose the surface of the plate contains abrasion damage that cannot be removed but that causes diffraction contrast obscuring the images of interior defects in the crystal. The diffracted-beam slit (equivalent to the opening in Q shown in Fig. 2.7.2.2), which is opened to the setting S1 for a standard projection topograph, may now be closed down to setting S2 so as to cut into the RR0 and TT 0 edges of the Kh beam, and thereby prevent direct images of near-surface defects located between CC 0 and XX 0 , and between YY 0 and DD0 , from reaching F. As another example, it may be desired to receive direct images from a specimen surface and a limited depth below it only (e.g. when correlating surface etch pits with dislocation outcrops). Then, setting S3 of the diffracted-beam slit is adopted and only the direct images from defects lying between depth ZZ 0 and the surface DD0 reach F. To record the K0 beam image, either in a section topograph or a projection topograph, some interception of the K0 beam on the OTT 00 side is needed to avoid intense blackening of the film G by radiation coming from the source, which will generally contain much energy in wavelengths other than those undergoing Bragg diffraction by the crystal. Screen S4 , critically adjusted, performs the required interception. Recording both K0 -beam and Kh -beam images is valuable in some studies of dynamical diffraction phenomena, such as the `first-fringe contrast' in stacking-fault fringe patterns (Jiang & Lang, 1983). Such recording can be done simultaneously, on separate films, normal to K0 and Kh , respectively, when 2B is sufficiently large. When collimated characteristic radiation is used, recording projection topographs of reasonably uniform density becomes difficult when the specimen is bent. To keep the ! axis oriented at the peak of the Bragg reflection while the specimen is scanned, several devices for `Bragg-angle control' have been designed, for example the servo system of Van Mellaert & Schwuttke (1972). The signal is taken from a detector registering the Bragg reflection through the film F, but this precludes use of glassbacked emulsions if X-ray wavelengths such as that of Cu K and softer are used. An alternative approach with thin, large-area transmission specimens is to revert to the geometry of Fig. 2.7.1.2 and deliberately elastically bend the crystal to such radius as will enable its whole length to Bragg diffract a single wavelength diverging from S, similar to a Cauchois focusing transmission monochromator (Wallace & Ward, 1975). No specimen traversing is then needed, but b cannot be made small if the wide K0 and Kh beams are to be spatially separated in the plane of F. Quite simple experimental arrangements can be adopted for taking transmission topographs under high-absorption conditions, when only anomalously transmitted radiation can pass through the crystal. The technique has mainly been used in symmetrical transmission, as shown with the specimen CC 0 D0 D in Fig. 2.7.2.4. When the specimen perfection is sufficiently high for the Borrmann effect to be strongly manifested, and t > 10, say, the energy flow transmitted within the Borrmann triangle is constricted to a narrow fan parallel to the Bragg planes, the fan opening angle being only a small fraction of 2B [see IT B (1996, Part 5)]. Radiation of a given wavelength coming from a small source at S and undergoing Bragg

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2.7. TOPOGRAPHY diffraction in CC 0 D0 D will take the path shown by the heavy line in Fig. 2.7.2.4, simplifying the picture to the case of extreme confinement of energy flow to parallelism with the Bragg planes. At the X-ray exit surface DD0 , splitting into K0 and Kh beams occurs. A slit-less arrangement, as shown in the figure, may suffice. Then, when S is a point-like source of K radiation, and distance a is sufficiently large, films F1 and F2 will each record a pair of narrow images formed by the 1 and 2 wavelengths, respectively. A wider area of specimen can be imaged if a line focus rather than a point focus is placed at S (Barth & Hosemann, 1958), but then the 1 and 2 images will overlap. Under conditions of high anomalous transmission, defects in the crystal cause a reduction in transmitted intensity, which appears similarly in the K0 and Kh images. Thus, it is possible to gain intensity and improve resolution by recording both images superimposed on a film F3 placed in close proximity to the X-ray exit face DD0 (Gerold & Meier, 1959). 2.7.3. Double-crystal topography The foregoing description of single-crystal techniques will have indicated that in order to gain greater sensitivity in orientation contrast there are required incident beams with closer collimation, and limitation of dispersion due to wavelength spread of the characteristic X-ray lines used. It suggests turning to prior reflection of the incident beam by a perfect crystal as a means of meeting these needs. Moreover, the application of crystalreflection-collimated radiation to probe angularly step by step as well as spatially point by point the intensity of Bragg reflection from the vicinity of an individual lattice defect such as a dislocation brings possibilities of new measurements beyond the scope provided by simply recording the local value of the integrated reflection. The X-ray optical principles of doublecrystal X-ray topography are basically those of the doublecrystal spectrometer (Compton & Allison, 1935). The properties of successive Bragg reflection by two or more crystals can be effectively displayed by a Du Mond diagram (Du Mond 1937), and such will now be applied to show how collimation and monochromatization result from successive reflection by two crystals, U and V, arranged as sketched in Fig. 2.7.3.1. They are in the dispersive, antiparallel, `‡ ‡' setting, and are assumed to be identical perfect crystals set for the same symmetrical Bragg reflection. Only rays making the same glancing angle with both surfaces will be reflected by both U and V. For example, radiation of shorter wavelength reflected at a smaller glancing angle at U (the ray shown by the dashed line) will impinge at a larger glancing angle on V and not satisfy the Bragg condition. In this ‡ ‡ setting, with a given angle ! between the Bragg-

reflecting planes of each crystal, U ‡ V ˆ ! and
U ˆ
V . The Du Mond diagram for the ‡ ‡ setting, Fig. 2.7.3.2, shows plots of Bragg's law for each crystal, the V curve being a reflection of the U curve in a vertical mirror line and differing by ! from the U curve in its coordinate of intersection with the axis of abscissa, in accord with the equations given above. The small angular range of reflection of a monochromatic ray by each perfect crystal is represented exaggeratedly by the band between the parallel curves. Where the band for crystal U superimposes on the band for V (the shaded area) defines semiquantitatively the divergence and wavelength spread in the rays successively reflected by U and V. (It is taken for granted that 12 ! lies between the maximum and minimum incident glancing angles on U, max and min , afforded by the incident beam, assumed polychromatic.) The reflected beam from U alone contains wavelengths ranging from lmin to lmax . Comparison of these  and l ranges with the extent of the shaded area illustrates the efficacy of the ‡ ‡ arrangement in providing a collimated and monochromatic beam, which can be employed to probe the reflecting properties of a third crystal (Nakayama, Hashizume, Miyoshi, Kikuta & Kohra, 1973). Techniques employing three or more successive Bragg reflections find considerable application when used with synchrotron X-ray sources, and will be considered below, in Section 2.7.4. The most commonly used arrangement for double-crystal topography is shown in Fig. 2.7.3.3, in which U is the `reference' crystal, assumed perfect, and V is the specimen crystal under examination. Crystals U and V are in the parallel, `‡ ' setting, which is non-dispersive when the Bragg planes of U and V have the same (or closely similar) spacings. Before considering the Du Mond diagram for this arrangement, note that Bragg reflection at the reference crystal U is asymmetric, from planes inclined at angle  to its surface. Asymmetric reflections have useful properties, discussed, for example, by Renninger (1961), Kohra (1972), Kuriyama & Boettinger (1976), and Boettinger, Burdette & Kuriyama (1979). The asymmetry factor, b, of magnitude jK0
n=Kh
nj, n being the

Fig. 2.7.3.1. Double-crystal ‡ ‡ setting.

Fig. 2.7.2.4. Topographic techniques using anomalous transmission.

Fig. 2.7.3.2. Du Mond diagram for ‡ ‡ setting in Fig. 2.7.3.1.

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION crystal-surface normal, is also the ratio of spatial widths of the incoming to the outgoing beams, Win =Wout . In the case of symmetric Bragg reflection, the perfect crystal U would totally reflect (in the zero-absorption case) over a small angular range, wS . In the asymmetric case, the ranges of total reflection are win for the incoming rays and wout for the outgoing. Dynamicaldiffraction theory [IT B (1996, Part 5)] shows that wout ˆ bwin ˆ b1=2 wS , so that win Win ˆ wout Wout (as would be expected from energy conservation). Thus, highly asymmetric reflection from the reference crystal U not only provides a spatially wide beam, able to cover a large area of V without recourse to any mechanical traversing motion of the components S, U or V, but also produces a desirably narrow angular probe for studying the angular breadth of reflection of V. In practice, values of b lower than 0.1 can be used. Du Mond diagrams for the ‡ arrangement are shown in Fig. 2.7.3.4…a† and …b†. For simplicity, the curves (slope dl=d ˆ 2d cos ) are represented by straight lines. In the ‡ setting, V U ˆ ! and
V ˆ
U . In Fig. 2.7.3.4…a†, the narrow band labelled U passing through the origin represents the beam of angular width wout leaving U. It is assumed that all of the specimen crystal V has the same interplanar spacing as U but that it contains a slightly misoriented minor region V 0 (which may be located as shown in Fig. 2.7.3.3). When ! differs substantially from zero, the bands corresponding to crystal V and its minor part V 0 lie in positions V1 and V10 , respectively, in Fig. 2.7.3.4…a†. (Only the relevant part of the latter band is drawn, for simplicity.) The offset along the  axis between V1 and V10 is the component
' of the misorientation between V and V 0 that lies in the plane of incidence. If ! is reduced step-wise, a doublecrystal topograph image being obtained at F at each angular setting,
' can be found from film densitometry, which will show at what settings band U is most effectively overlapped by band V or by band V 0 . When ! is reduced to zero, the specimen crystal bands are at V2 and V20 . The drawing shows that V 0 has then passed right through the setting for its Bragg reflection, which occurred at a small positive value of !. Since the U and V bands have identical slopes, their overlap occurs at all wavelengths when ! ˆ 0. In practice, only the shaded area is involved, corresponding to the wavelength range lmin to lmax , defined by the range of incidence angles, min to max , on the Bragg planes of crystal U. (The width of band U will generally be negligible compared with the range of  allowed by source width and slit collimation system.) One component of
' is found in the procedure just described. The second component

Fig. 2.7.3.3. Double-crystal topographic arrangement, ‡ setting. Asymmetric reflection from reference crystal U. Specimen crystal divided into regions V and V 0 .

needed to specify the difference between h-vector directions of the Bragg planes of V and V 0 is obtained by repeating the experiment after rotating V by 90 about h. Next consider the more general case when V 0 differs from V in both orientation and interplanar spacing, and both V 0 and V have slightly different interplanar spacings from U. The difference in orientation between V 0 and V,
', and their difference in interplanar spacing, d…V 0 † d…V †, can be distinguished by taking two series of double-crystal topographs, the orientation of the specimen in its own plane (its azimuthal angle, ) being changed by a 180 rotation about its h vector between taking the first and second series. As shown schematically in the Du Mond diagram, Fig. 2.7.3.4…b†, the U, V, and V 0 bands now all have slightly different slopes. [Reference crystal U is reflecting the same small wavelength band as in Fig. 2.7.3.4…a†.] The setting represented in the diagram is that putting V at the maximum of its Bragg reflection Let the V 0 band be then at position V00 , for the case when ˆ 0 . Assume that, when is changed by 180 , the rotation of the specimen in its own plane can be made about the h vector of V precisely. (This assumption simplifies the diagram.) Then this 180 rotation will not cause any translation of the V band along the  axis, but does 0 . With the sense transfer the V 0 band from V00 to the position V180 of increasing ! taken as that translating the specimen bands to the right and
! taken as the difference in readings between peak reflection from V and that from V 0 , the diagram shows that, with ˆ 0 ,
!0 ˆ …V 0 † …V † ‡
', and, with ˆ 180 ,

Fig. 2.7.3.4. Du Mond diagrams for ‡ setting in Fig. 2.7.3.3. …a† Case when specimen region V 0 is misoriented with respect to V, but U, V, and V 0 all have the same interplanar spacing. …b† Case when V 0 differs from V in both orientation and interplanar spacing, and both differ from U in interplanar spacing.

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2.7. TOPOGRAPHY
!180 ˆ …V 0 † …V †
', from which both
' and the difference in Bragg angles can be found. The interplanar spacing difference is given by d…V 0 † d…V † ˆ ‰…V † …V 0 †Šd cot , d being the mean interplanar spacing of V and V 0 . In practice, series of topographs are taken with azimuthal angles ˆ 0, 90, 180, and 270 , so that the two components needed to specify the misorientation vector between the Bragg-plane normals of V and V 0 can be determined. The Du Mond diagram shows that in this slightly dispersive experiment the range of overlap of the U band with any V band can be restricted by reducing the angular range or wavelength range of rays incident on U. Such reduction can be achieved by use of a small source S far distant from U, such as a synchrotron source. It can also be achieved by methods described in Subsection 2.7.4.2. As regards spatial resolution on double-crystal topographs, relations analogous to those for single-crystal topographs apply. If the reference crystal U unavoidably contains some defects, their images on F can deliberately be made diffuse compared with images of defects in V by making the UV distance relatively large. In a nearly dispersion-free arrangement, if the K1 wavelength is being reflected, then so too will the K2 if S is sufficiently widely extended in the incidence plane, as is usually necessary to image a usefully large area of V. If the distance VF cannot be made sufficiently small to reduce to a tolerable value the resolution loss due to simultaneous registration of the 1 and 2 images, then a source S of small apparent size, together with a collimating slit before U, will be needed. In order to obtain imaging of a large area of V, a linear scanning motion to and fro at an angle to SU in the plane of incidence must be performed by the source and collimator relative to the double-crystal camera. Whether it is the source and collimator or the camera that physically move depends upon their relative portability. When the source is a standard sealed-off X-ray tube, it is not difficult to arrange for it to execute the motion (Milne, 1971). In some applications, it may occur that the specimen is so deformed that only a narrow strip of its surface will reflect at each ! setting. Then, a sequence of images can be superimposed on a single film, changing ! by a small step between each exposure. The `zebra' patterns so obtained define contours of equal `effective misorientation', the latter term describing the combined effect of variations in tilt
' and of Bragg-angle changes due to variations in interplanar spacing (Renninger, 1965; Jacobs & Hart, 1977). Double-crystal topography employing the parallel setting was developed independently by Bond & Andrus (1952) and by Bonse & Kappler (1958), and used by the former workers for studying reflections from surfaces of natural quartz crystals, and by the latter for detecting the strain fields surrounding outcrops of single dislocations at the surfaces of germanium crystals. Since then, the method has been much refined and widely applied. The detection of relative changes in interplanar spacing with a sensitivity of 10 8 is achievable using high-angle

Fig. 2.7.3.5. Transmission double-crystal topography in ‡ with spatial limitation of beam leaving reference crystal.

setting

reflections and very perfect crystals. These developments have been reviewed by Hart (1968, 1981). Transmitted Bragg reflection (i.e. the Laue case) can be used for either or both crystals U and V, in both the ‡ ‡ and ‡ settings, if desired. When the reference crystal U is used in transmission, a technique due to Chikawa & Austerman (1968), shown in Fig. 2.7.3.5, can be employed if U is relatively thick and, preferably, not highly absorbing of the radiation used. This technique exploits a property of diffraction by ideally perfect crystals, that, for waves satisfying the Bragg condition exactly, the energy-flow vector (Poynting vector) within the energy-flow triangle (the triangle ORT in Figs. 2.7.2.2 and 2.7.2.3) is parallel to the Bragg planes. (In fact, the energy-flow vectors swing through the triangle ORT as the range of Bragg reflection is swept by the incident wave vector, K0 .) Placing a slit Q as shown in Fig. 2.7.3.5 so as to transmit only those diffracted rays emerging from RT whose energy-flow direction in the crystal ran parallel, or nearly parallel, to the Bragg plane OD has the effect of selecting out from all diffracted rays only those that have zero or very small angular deviation from the exact Bragg condition. The slit Q thus provides an angularly narrower beam for studying the specimen crystal V than would be obtained if all diffracted rays from U were allowed to fall on V. The specimen is shown here in the ‡ setting, and also oriented to transmit its diffracted beam to the film F. This specimen arrangement is a likely embodiment of the technique but is incidental to the principle of employing spatial selection of transmitted diffraction rays to gain angular selection, a technique first used by Authier (1961). A practical limitation of this technique arises from angular spreading due to Fraunhofer diffraction by the slit Q: use of too fine an opening of Q will defeat the aim of securing an extremely angularly narrow beam for probing the specimen crystal. 2.7.4. Developments with synchrotron radiation 2.7.4.1. White-radiation topography The generation and properties of synchrotron X-rays are discussed by Arndt in Subsection 4.2.1.5. For reference, his list of important attributes of synchrotron radiation is here repeated as follows: (1) high intensity, (2) continuous spectrum, (3) narrow angular collimation, (4) small source size, (5) polarization, (6) regularly pulsed time structure, and (7) computability of properties. All these items influence the design and scope of X-ray topographic experiments with synchrotron radiation, in some cases profoundly. The high intensity of continuous radiation delivered in comparison with the output of standard X-ray tubes, and hence the rapidity with which X-ray topographs could be produced, was the first attribute to attract attention, through the pioneer experiments of Tuomi, Naukkarinen & Rabe (1974), and of Hart (1975a). They used the simple diffraction geometry of the Ramachandran (Fig. 2.7.1.2) and Schulz (Fig.2.7.1.1) methods, respectively. [Since in the transmissionspecimen case a multiplicity of Laue images can be recorded, it is usual to regard this work as a revival of the Guinier & Tennevin (1949) technique.] Subsequent developments in synchrotron X-ray topography have been reviewed by Tanner (1977) and by Kuriyama, Boettinger & Cohen (1982), and described in several chapters in Tanner & Bowen (1980). Some developments of methods and apparatus that have been stimulated by the advent of synchrotron-radiation sources will be described in this and in the following Subsection 2.7.4.2, the division illustrating two recognizable streams of development, the first exploiting the speed and relative instrumental simplicity

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION of white-radiation synchrotron X-ray topography, the second directed towards developing sophisticated `beam conditioners' to extract highly collimated and monochromatic beams from the continuous-wavelength output of the synchrotron source. In both monochromatic and continuous-radiation experiments, the high intensity renders it more practicable than with conventional sources to apply electronic `real-time' imaging systems (discussed in Sections 7.1.6 and 7.1.7, and Subsection 2.7.5.2). At the experimental stations where synchrotron X-ray topography is performed, the distance a from the source (the tangent point on the electron orbit) is never less than some tens of metres, e.g. 40 m at the Deutsches Elektronen-Synchrotron, Hamburg (DESY), a maximum of 80 m at the Synchrotron Radiation Source, Daresbury (SRS), and 140 m at the European Synchrotron Radiation Facility (ESRF). The dimensions of the X-ray source (given by the cross section of the electron beam at the tangent point) vary widely between different installations (see Table 4.2.1.7), but the dimension in the plane of the electron orbit is usually several times that normal to it. If Wx and Wz are the corresponding full widths at half-maximum intensity of the source, then with the simple X-ray optics of a white-radiation topograph the geometrical resolution will be Wx b=a and Wz b=a in the orbit-plane (horizontal) and normal to the orbit-plane (vertical) directions, respectively, independent of the orientation of the plane of incidence of the Bragg reflection concerned. Representative dimensions might be Wx ˆ 2 mm, Wz ˆ 0:5 mm, and a ˆ 50 m. With b ˆ 100 mm, the horizontal and vertical resolutions of the topograph image would then be 4 and 1 mm, respectively, comparable with those on a conventional source, but with b ˆ 10 mm only. Thus, even under synchrotron-source conditions, it is desirable that b should not exceed some centimetres in order to avoid geometrical factors causing a severer limitation of resolution (at least in one dimension) than other factors [such as photo-electron track lengths in the emulsion and point-by-point statistical fluctuations in absorbed photon dose (Lang, 1978)]. Since synchrotron X-rays are generated at all points along a curved electron trajectory, they spread out in a sheet parallel to the orbit plane. So there is in principle no limit to the specimen dimension in that plane that can be illuminated in a white-radiation topograph. However, increased background due to scattering from air and other sources imposes a practical limit of around 100 mm on the beam width. With electrons circulating in a planar orbit, the divergence of radiation normal to the orbit plane is strongly constricted, significant intensity being contained only within a fan of opening angle ' mc2 =E, e.g. ˆ 0:25 mrad with electron energy E ˆ 2 GeV, equivalent to a vertical distance 12 mm with a ˆ 50 m. This does impose a significant restriction on the area of specimen that can be imaged in a transmission topograph unless recourse be had to beam expansion by an asymmetrically reflecting monochromator crystal. For analysis of the three-dimensional configuration of defects within crystals, it is a useful feature of white-radiation transmission topography that different views of the specimen are presented simultaneously by the assemblage of Laue images, and that when studying reflection from a given Bragg plane there is freedom to vary the glancing angle upon it. When interpreting the diffraction contrast effects observed, the relative contributions of all the diffraction orders superimposed must be considered. However, after taking into account source spectral distribution, specimen structure factors, absorption losses and film efficiency, it is often found that a particular order of reflection is dominant in each Laue image (Tuomi, Naukkarinen & Rabe, 1974; Hart, 1975a). The variation of diffraction

contrast with wavelength follows different trends for different types of defect (Lang, Makepeace, Moore & Machado, 1983), so the ability to vary the wavelength with which a given order of reflection is studied can help in identifying the type of defect. If the orbiting electrons are confined to a plane, then the radiation emitted in that plane is completely linearly polarized with the E vector in that plane. It follows that diffraction with the plane of incidence normal to the orbit plane is in pure -polarization mode (polarization factor P ˆ 1), and with plane of incidence parallel to the orbit plane in pure polarization mode …P ˆ j cos 2B j†. The former, vertical plane of incidence is often chosen to avoid vanishing of reflections in the region of 2B ˆ 90 . The ability to record patterns with either pure -mode or pure -mode polarization is very helpful in the study of several dynamical diffraction phenomena. To facilitate switching of polarization mode, some diffractometers and cameras built for use with synchrotron sources are rotatable bodily about the incident-beam axis (Bonse & Fischer, 1981; Bowen, Clark, Davies, Nicholson, Roberts, Sherwood & Tanner, 1982; Bowen & Davies, 1983). From the diffractiontheoretical standpoint, it is the section topograph that provides the image of fundamental importance. High-resolution sectiontopograph patterns have been recorded with synchrotron radiation using a portable assembly combining crystal mount and narrow incident-beam slit. With the help of optical methods of alignment, this can be transferred between topograph cameras set up at a conventional source and at the synchrotron source (Lang, 1983). The regularly pulsed time structure of synchrotron radiation can be exploited in stroboscopic X-ray topography. The wavefronts of travelling surface acoustic waves (SAW) on lithium niobate crystals have been imaged, and their perturbation by lattice defects disclosed (Whatmore, Goddard, Tanner & Clark, 1982; Cerva & Graeff, 1984, 1985). The latter workers made detailed studies of the relative contributions to the image made by orientation contrast and by `wavefield deviation contrast' (i.e. contrast arising from deviation of the energy-flow vector in the elastically strained crystal). 2.7.4.2. Incident-beam monochromatization In order to achieve extremely small beam divergences and wavelength pass bands …dl=l†, and, in particular, to suppress transmission of harmonic wavelengths, arrangements much more complicated than the double-crystal systems shown in Figs. 2.7.3.1 and 2.7.3.3 have been applied in synchrotronradiation topography. The properties of monochromator crystals are discussed in Section 4.2.5. In synchrotron-radiation topographic applications, the majority of monochromators are constructed from perfect silicon, with occasional use of germanium. Damage-free surfaces of optical quality can be prepared in any orientation on silicon, and smooth-walled channels can be milled into silicon monoliths to produce multireflection devices. First, for simpler monochromatization systems, one possibility is to set up a monochromator crystal oriented for Bragg reflection with asymmetry b  1 (i.e. giving Wout =Win  1† to produce a narrow monochromatic beam with which section topographs can be taken (Mai, Mardix & Lang, 1980). The standard ‡ double-crystal topography arrangement is frequently used with synchrotron sources, the experimental procedure being as described in Section 2.7.3 and benefiting from the small divergence of the incident beam due to remoteness of the source. An example of a more refined angular probe is that obtainable by employing a pair of silicon crystals in ‡ ‡ setting to prepare the beam

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2.7. TOPOGRAPHY Table 2.7.4.1. Monolithic monochromator for plane-wave synchrotron-radiation topography Reflection 1 Reflection 2 Reflection 3 Output wavelength Spectral pass band, dl=l Angular divergence of exit beam Size of exit beam

333  131 13 1 0.12378 nm  7  10 6  1:4  10 6 15  15 mm

incident on the specimen crystal, the three crystals together forming a ‡ ‡ arrangement (Ishikawa, Kitano & Matsui, 1985). The first monochromator is oriented for asymmetric 111 Bragg reflection, the second for highly asymmetric 553 reflection …Wout =Win ˆ 64 at l ˆ 0:12 nm†, resulting in a divergence of only 0:5  10 6 in the beam impinging on the specimen. Multireflection systems, some of which were proposed by Du Mond (1937) but not at that time realizable, have become a practicality through the advent of perfect silicon and germanium. When multiple reflection occurs between the walls of a channel cut in a perfect crystal, the tails of the curve of angular dependence of reflection intensity can be greatly attenuated without much loss of reflectivity at the peak of the curve (Bonse & Hart, 1965a). Beaumont & Hart (1974) described combinations of such `channel-cut' monochromators that were suitable for use with synchrotron sources. One combination, consisting of a pair of contra-rotating channel-cut crystals, with each channel acting as a pair of reflecting surfaces in symmetrical ‡ setting, has found much favour as a monochromatizing device producing neither angular deviation nor spatial displacement of the final beam, whatever the wavelength it is set to pass. The properties of monoliths with one or more channels and employing two or more asymmetric reflections in succession have been analysed by Kikuta & Kohra (1970), Kikuta (1971), and Matsushita, Kikuta & Kohra (1971). Symmetric channel-cut monochromators in perfect undistorted crystals transmit harmonic reflections. Several approaches to the problem of harmonic elimination may be taken, such as one of the following procedures (or possibly more than one in combination). (1) Using crystals of slightly different interplanar spacing (e.g. silicon and germanium) in the ‡ setting, which then becomes slightly dispersive (Bonse, Materlik & SchroÈder, 1976; Bauspiess, Bonse, Graeff & Rauch, 1977).

Fig. 2.7.4.1. Monolithic multiply reflecting monochromator for planewave topography.

(2) Laue case (transmission) followed by Bragg case (reflection), with deliberate slight misorientation between the diffracting elements (Materlik & Kostroun, 1980). (3) Asymmetric reflection in non-parallel channel walls in a monolith (Hashizume, 1983). (4) Misorientating a multiply reflecting channel, either one wall with respect to the opposite wall, or one length segment with respect to a following length segment (Hart & Rodrigues, 1978; Bonse, Olthoff-MuÈnter & Rumpf, 1983; Hart, Rodrigues & Siddons, 1984). For X-ray topographic applications, it is very desirable to have a spatially wide beam issuing from the multiply reflecting device. This is achieved, together with small angular divergence and spectral window, and without need of mechanical bending, in a monolith design by Hashizume, though it lacks wavelength tunability (Petroff, Sauvage, Riglet & Hashizume, 1980). The configuration of reflecting surfaces of this monolith is shown in Fig. 2.7.4.1. Reflection occurs in succession at surfaces 1, 2, and 3. The monochromator characteristics are listed in Table 2.7.4.1. The wavelength is very suitable in many topographic applications, and this design has proved to be an effective beam conditioner for use in synchrotron-radiation `plane-wave' topography. 2.7.5. Some special techniques 2.7.5.1. Moire topography In X-ray optics, the same basic geometrical interpretation of moire patterns applies as in light and electron optics. Suppose radiation passes successively through two periodic media, (1) and (2), whose reciprocal vectors are h1 and h2 , so as to form a moire pattern. Then, the reciprocal vector of the moire fringes will be H ˆ h1 h2 . The magnitude, D, of the moire fringe spacing is jHj 1 and may typically lie in the range 0.1 to 1 mm in the case of X-ray moire patterns. Simple special cases are the `rotation' moire pattern in which jh1 j ˆ jh2 j ˆ d 1 , but h1 makes a small angle  with h2 . Then, the spacing of the moire fringes is d= and the fringes run parallel to the bisector of the small angle . The other special case is the `compression' moire pattern. Here, h1 and h2 are parallel but there is a small difference between their corresponding spacings, d1 and d2 . The spacing D of compression moire fringes is given by D ˆ d1 d2 =…d1 d2 † and the fringes lie parallel to the grating rulings or Bragg planes in (1) and (2). X-ray moire topographs achieve sensitivies of 10 7 to 10 8 in measuring orientation differences or relative differences in interplanar spacing. Moreover, if either periodic medium contains a lattice dislocation, Burgers vector b, for which b
h 6ˆ 0, then a magnified image of the dislocation will appear in the moire pattern, as one or more fringes terminating at the position of the dislocation, the number of terminating fringes being b
h, which is necessarily integral (Hashimoto & Uyeda, 1957). X-ray moire topography has been performed with two quite different arrangements, the Bonse & Hart interferometer, and by superposition of separate crystals (BraÂdler & Lang, 1968). For accounts of the principles and applications of the interferometer, see, for example, Bonse & Hart (1965b, 1966), Hart (1968, 1975b), Bonse & Graeff (1977), Section 4.2.6 and x4.2.6.3.1. Fig. 2.7.5.1 shows the arrangement (Hart, 1968, 1972) for obtaining large-area moire topographs by traversing the interferometer relative to a ribbon incident beam in similar fashion to taking a normal projection topograph (Fig. 2.7.2.2); P is the incident-beam slit, Q is a

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2. DIFFRACTION GEOMETRY AND ITS PRACTICAL REALIZATION stationary slit selecting the beam that it is desired to record, and film, F, and interferometer, SMA, together traverse to and fro as indicated by the double-headed arrow. In Fig. 2.7.5.1, S, M, and A are the three equally thick wafers of the interferometer that remain upstanding above the base of the monolithic interferometer after the gaps between S and M, and M and A, have been milled away. The elements S, M and A are called the splitter, mirror, and analyser, respectively. The moire pattern is formed between the Bragg planes of A and the standing-wave pattern in the overlapping K0 and Kh beams entering it. Maximum fringe visibility occurs in the emerging beam that the slit Q is shown selecting. A dislocation will appear in the moire pattern whether the lattice dislocation lies in S, M, or A, provided b
h 6ˆ 0. Moire patterns formed in a number of Bragg reflections whose normals lie in, or not greatly inclined to, the plane of the wafers, can be recorded by appropriate orientation of the monolith. By this means, it is easily discovered in which wafer the dislocation lies, and its Burgers vector can be completely determined, including its sense, the latter being found by a deliberate slight elastic deformation of the interferometer (Hart, 1972). Satisfactory moire topographs have been obtained with an interferometer in a synchrotron beam, despite thermal gradients due to the local intense irradiation (Hart, Sauvage & Siddons, 1980). Fig. 2.7.5.2 shows crystal slices (1), ABCD, and (2), EFGH, superposed and simultaneously Bragg reflecting in the BraÂdler± Lang (1968) method of X-ray moire topography. The slices could have been cut from separate crystals. In the case when the Bragg planes of (1) and (2) are in identical orientation but have a translational mismatch across CD and EF with a component parallel to h, strong scattering occurs towards Z as focus, producing extra intensity at T 0 in the K0 beam TT 00 and at R0 in the Kh beam RR00 . It is usual to record the moire pattern using the Kh beam. Projection moire topographs are obtained by the standard procedure of traversing the crystal pair and film together with respect to the incident beam SO. The special procedure devised for mutually aligning the two crystals so that h1 and h2 coincide within their angular range of reflection is explained by BraÂdler & Lang (1968). This method has been applied to silicon and to natural (Lang, 1968) and synthetic quartz (Lang, 1978).

Fig. 2.7.5.1. Scanning arrangement for moire topography with the Bonse±Hart interferometer.

2.7.5.2. Real-time viewing of topograph images Position-sensitive detectors involving the production of electrons are described in Chapter 7.1, Sections 7.1.6 and 7.1.7, and Arndt (1986, 1990). Those descriptions cover all the image-forming devices that form the core of systems set up for `live' X-ray topography. Here, discussion is limited to remarks on the historical development of techniques designed for making X-ray topographic images directly visible, and on the leading systems that are now sufficiently developed to be acceptable for routine use, in particular on topograph cameras set up at synchrotron X-ray sources. Two types of system became practicalities about the same time, that using direct conversion of X-rays to electronic signals by means of an X-ray-sensitive vidicon television camera tube (Chikawa & Fujimoto, 1968), and the indirect method using an external X-ray phosphor coupled to a multistage electronic image-intensifier tube (Reifsnider & Green, 1968; Lang & Reifsnider, 1969) or to a television-camera tube incorporating an image-intensifier stage (Meieran, Landre & O'Hara, 1969). These two approaches, the direct and the indirect, remain in competition. Developments up to the middle 1970's have been comprehensively reviewed by Hartman (1977). Since that time, Si-based, two-dimensional CCD (chargecoupled device) arrays have come into prominence as radiation detectors. They can be used for direct conversion of low-energy X-rays into electronic charges as well as for recording images of phosphor screens. As illustrated by Allinson (1994), four configurations employing CCD arrays for X-ray imaging can be considered: (i) direct detection by the `naked' device; (ii) detection by phosphor coated directly on the CCD array; (iii) phosphor separate, and optically coupled to the CCD by lens or fibre-optics; and (iv) the addition to (iii) of an image intensifier

Fig. 2.7.5.2. Superposition of crystals (1) and (2) for production of moire topographs. [Reproduced from Diffraction and Imaging Techniques in Material Science, Vol. II. Imaging and Diffraction Techniques, edited by S. Amelinckx, R. Gevers & J. Van Landuyt (1978), Fig. 21, p. 695. Amsterdam, New York, Oxford: NorthHolland.]

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2.7. TOPOGRAPHY or microchannel plate coupled to the phosphor screen. Consider first configuration (i). X-ray absorption efficiency in the active layer of silicon is near unity for radiations such as Cu K, and is not less than about 20% for Mo K or Ag K. Since about onethird of the absorbed energy goes into electron±hole pair production, an absorbed 8 keV X-ray photon creates about 2000 pairs, a large number compared with a combined darkcurrent plus read-out noise level per photosite of a few tens of electrons r.m.s. Thus, single-photon counting is possible. Moreover, a cooled CCD can integrate the charge accumulated in each pixel for up to  103 s. With pixel sizes in the range 10 to 30 mm square, and 1024  1024 (or 2048  2048† arrays in production, sensitive areas of 50 mm square, or greater, are available, sufficient for the majority of topographic applications. For X-ray-sensitive TV-camera tubes, some major improvements in resolution and sensitivity have taken place since the first applications to X-ray topography of Be-windowed vidicons. Using the more sensitive `Saticon' tube with incorporation of a 20 mm-thick Se±As target that provides good X-ray absorption efficiency, Chikawa, Sato & Fujimoto (1984) achieved a resolution as good as 6 mm at a modulation transfer function (MTF) of 5%. This betters that achieved with indirect systems or with standard-pixel-size CCD arrays used as direct detectors. The newer `Harp' tube, which employs avalanche multiplication produced by a high field ( 108 V m 1 ) applied across a 2 mm Se target to increase light sensitivity at least ten fold compared with the Saticon tube, has also been modified into a direct X-ray detector. Increasing the target thickness to 8 mm and adding an X-ray-transparent window provides satisfactory detector efficiency over a useful wavelength range (and the Se K-absorption edge at 0.098 nm causes absorption efficiencies for Cu K and Mo K to be similar, about 25%). The gain is sufficient for detection of single Cu K photon-absorption events (at least for photons absorbed close to the target front, giving the maximum path for avalanche formation). A limiting resolution of about 25 mm (at MTF of 33%) is exhibited (Sato, Maruyama, Goto, Fujimoto, Shidara, Kawamura, Hirai, Sakai & Chikawa, 1993), not yet as good as the 6 mm achieved with the Saticon tube. The rather small 6  9 mm sensitive areas of these camera tubes (when in standard `23 in' size) restricts their range of topographic applications as direct detectors compared with CCD arrays, but their amorphous Se targets are less likely to be degraded by X-radiation damage than crystalline-silicon CCD arrays. The latter do suffer degradation, but recover after treatment (Allinson, Allsopp, Quayle & Magorrian, 1991). In the case of indirect systems, the lens or fibre-optic plate situated between phosphor and detector automatically protects the latter from radiation damage. Somewhat better resolution can be achieved by lens coupling than by fibre-optic coupling of phosphor to detector, but at the expense of loss of light-collection efficiency generally too great to be acceptable. In principle, magnification or de-magnification of the phosphor-screen image on the detector can be selected according to whether phosphor or detector has the better resolution, in order to maximize the system resolution as a whole. Phosphor resolution can be increased by diminishing its thickness below the value that would

be chosen from consideration of X-ray absorption efficiency alone. Using a phosphor screen of Gd2 O2 S(Tb) only 5 mm thick, and lens-coupling it with tenfold magnification on to the target of a low-light-level television camera, Hartmann achieved a system resolution of about 10 mm (Queisser, Hartmann & Hagen, 1981), as good as any demonstrated so far with indirect systems. The phosphors already used (or potentially usable) in real-time X-ray topography are inorganic compounds containing elements of medium or heavy atomic weight. They include ZnS(Ag), NaI(Tl), CsI(Tl), Y2 O2 S(Tb), Y2 O2 S(Eu), La2 O2 S(Eu) and Gd2 O2 S(Tb). Problems encountered are light loss by light trapping within single-crystal phosphor sheets, and resolution loss by light scattering from grain to grain in phosphor powders. Various ways of reducing lateral light-spreading within phosphor screens by imposing a columnar structure upon them have been tried. Most success has been achieved with CsI. Evaporated layers of this crystal have a natural tendency towards columnar cracking normal to the substrate. Then internal reflection within columns reduces `cross talk' between columns (Stevels & KuÈhl, 1974). However, a columnar structure can be very effectively imposed on CsI films evaporated on to fibre-optic plates by etching away the cladding glass surrounding each fibre core to a depth of 10 mm, say. The evaporated CsI starts growing on the protruding cores, and continues as pillars physically separated and hence to a large degree optically separated from their neighbours (Ito, Yamaguchi & Oba, 1987; Allinson, 1994; Castelli, Allinson, Moon & Watson, 1994). The drive to develop systems for 2D imaging of singlecrystal or fibre diffraction patterns produced by synchrotron radiation that offer spatial resolution better than that within the grasp of position-sensitive multiwire gas proportional counters (say 100±200 mm) has produced several phosphor/fibre-optic/ CCD combinations that with some modifications would be useful for real-time X-ray topography. Diffraction-pattern recording requires a sensitive area not less than about 50 mm in diameter, so most systems incorporate a fibre-optic taper to couple a larger phosphor screen with a small CCD array. Spatial resolution in the X-ray image cannot then be better than CCD pixel size multiplied by the taper ratio. In one system that has been fully described, this product is 20.5 mm  2:6, and a point-spread FWHM of 80 mm on a 51  51 mm input area was realised without benefit from a columnar-structure phosphor (Tate, Eikenberry, Barna, Wall, Lawrance & Gruner, 1995). More appropriate for X-ray topography would be unitmagnification optical coupling of phosphor with a CCD array of not less than 1024  1024 elements and not more than 20 mm square pixel size. With such a combination, a system resolution of 25 mm should be achievable; and at a synchrotron X-ray topography station at least one device offering resolution no worse than this should be available. There is a scope for both high-resolution, small-sensitive-area and lower-resolution, large-sensitive-area imaging systems in real-time X-ray topography. It has been shown possible to incorporate both types in a single topography camera for use with synchrotron radiation (Suzuki, Ando, Hayakawa, Nittono, Hashizume, Kishino & Kohra, 1984).

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International Tables for Crystallography (2006). Vol. C, Chapter 2.8, pp. 124–125.

2.8. Neutron diffraction topography By M. Schlenker and J. Baruchel

2.8.1. Introduction Some salient differences between neutron diffraction and X-ray diffraction are that …a† neutron beams are not available in standard (`home') laboratories, …b† the available neutron fluxes are small even at a high-flux reactor and even when compared with laboratory X-ray  1993), generators (Scherm & Fak, …c† absorption is negligible in most materials (see Section 4.4.6), and …d† magnetic scattering is a strong component (see Section 4.4.5). All these differences have effects on the use of neutrons for diffraction imaging (hereafter called, according to standard usage, neutron topography), while the obvious similarities in scattering amplitude and geometry make such topography possible. The effect of …a† is that the first attempts at neutron topography occurred late, with the work of Doi, Minakawa, Motohashi & Masaki (1971), Ando & Hosoya (1972), and Schlenker & Shull (1973), and that it is practised at very few places in the world, though one of them, at Institut Laue± Langevin (ILL), is open to external users. 2.8.2. Implementation As a result of …b†, the resolution of neutron topography is poor. It was estimated to be no better than 60 mm in non-polarized work on the instrument installed at ILL Grenoble, for exposure times of hours, as a result of roughly equal contributions from detector resolution, geometric blurring due to beam divergence, and shot noise, i.e. fluctuation in the number of diffracted neutrons reaching a pixel. The same reason leads to the technique being instrumentally simple because refinements that might lead, for example, to better resolution are discouraged by the increase in exposure time they would imply. Typically, a neutron beam with divergence of the order of 100 is monochromated by a nonperfect crystal (mosaic spread a few minutes of arc), and the monochromatic beam illuminates the sample, which can be either a single crystal or a grain in a polycrystal. It is advantageous, but not mandatory, to use a white beam delivered by a curved neutron guide tube as the divergence is already limited and high-energy parts of the spectrum, which would contribute to unwanted background, as well as -rays, are eliminated. After the specimen is set for a chosen Bragg reflexion with the help of a detector and counter, a neutronsensitive photographic detector (see x7.3.1.2.3) is placed across the diffracted beam, as near the sample as possible to minimize geometric blurring effects while avoiding the direct transmitted beam. Very crude but comparatively fast exposures can be made with Polaroid film and an isotopically enriched 6 LiF (ZnS) phosphor screen. Better topographs are obtained with X-ray film associated with a gadolinium foil (if possible isotopically enriched in 157 Gd) acting as an n ! converter, or with a track-etch plastic foil with an 6 LiF or 10 B4 C foil or layer (n !  converter) (Malgrange, Petroff, Sauvage, Zarka & Englander, 1976). Alternatively, an electronic position-sensitive neutron detector can be used for both setting and imaging (Davidson & Case, 1976; Sillou et al., 1989). Polarized neutrons are extremely useful in the investigation of magnetic domains. The use of a polarizing monochromator and a

crude attachment providing a guide field and the possibility to flip the polarization can provide this possibility as an option because the requirements are much less stringent than in quantitative structural polarized-neutron-diffraction work. It is also possible to use the white beam from a curved guide tube directly (Boeuf, Lagomarsino, Rustichelli, Baruchel & Schlenker, 1975), in the same way as in synchrotron-radiation X-ray topography, that is to say making a Laue diagram, each spot of which is a topograph. The technique is then instrumentally extremely simple, but background is a problem. Because the beam divergence is so much larger than for synchrotron radiation, the resolution is much worse than in the latter case, but it is not expected to differ significantly from the monochromatic beam neutron version. The ability of neutron beams to go through furnaces or cooling devices, one of the advantages in neutron diffraction work in general, is of course retained in topography. It is, however, desirable to retain a small (  2 …q ‡ 2qqF † >
Emax ˆ > = 2m0 …4:3:4:12† > > h2 2 > …q 2qqF † ;
Emin ˆ 2m0 shown in Fig. 4.3.4.13. They bracket the curve
E ˆ h2 q2 =2m0 corresponding to the transfer of energy and momentum to an isolated free electron. For momentum transfers such as q > qc , the plasmon mode is heavily damped and it is difficult to distinguish its own specific behaviour from the electron±hole continuum. A few studies, e.g. Batson & Silcox (1983), indicate that the plasmon dispersion curve flattens as it enters the

The coefficient  has been measured in a number of substances and calculated for the free-electron case in the random phase approximation (Lindhard, 1954); see Table 4.3.4.3 for some data. A simple expression for  is  ˆ 35

EF ; h!p …0†

…4:3:4:10†

where EF is the Fermi energy of the electron gas. More detailed observations indicated that it is not possible to describe the dispersion curve over a large momentum range with a single q2 law. In fact, one has to fit the experiment data with different linear or quadratic slopes as a function of q [see values indicated for Al and In in Table 4.3.4.3, and Hohberger, Otto & Petri (1975)]. Moreover, anisotropy has been found along different q directions in monocrystals (Manzke, 1980). In parallel, refinements have been brought into the calculations by including band-structure effects to deal with the anisotropy of the dispersion relation and with the

Fig. 4.3.4.13. The dispersion curve for the excitation of a plasmon (curve 1) merges into the continuum of individual electron±hole excitations (between curves 2 and 4) for a critical wavevector qc . The intermediate curve (3) corresponds to Compton scattering on a free electron.

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4.3. ELECTRON DIFFRACTION quasiparticle domain and approaches the centre of the continuum close to the free-electron curve. However, not only is the scatter between measurements fairly high, but a satisfactory theory is not yet available [see Schattschneider (1989) for a compilation of data on the subject]. Plasmon lifetime is inversely proportional to the energy width of the plasmon peak
E1=2 . Even for Al, with one of the smallest plasmon energy widths …' 0:5 eV†, the lifetime is very short: after about five oscillations, their amplitude is reduced to 1=e. Such a damping demonstrates the strength of the coupling of the collective modes with other processes. Several mechanisms compete for plasmon decay: …a† For small momentum transfer, it is generally attributed to vertical interband transitions. Table 4.3.4.4, extracted from Raether (1980), compares a few measured values of
E1=2 …0†, with values calculated using band-structure descriptions. …b† For moderate momentum transfer q, a variation law such as 2

4


E1=2 …q† ˆ
E1=2 …0† ‡ Bq ‡ O…q †

…4:3:4:13†

has been measured. The q dependence of
E1=2 is mainly accounted for by non-vertical transitions compatible with the band structure, the number of these transitions increasing with q (Sturm, 1982). Other mechanisms have also been suggested, such as phonons, umklapp processes, scattering on surfaces, etc. …c† For large momentum transfer (i.e. of the order of the critical wavevector qc ), the collective modes decay into the strong electron±hole-pair channels already described giving rise to a clear increase of the damping for values of q > qc . Within this free-electron-gas description, the differential cross section for the excitation of bulk plasmons by incident electrons of velocity v is given by dp
Ep 1 ; …† ˆ d

2Na0 m0 v2  2 ‡  2E

…4:3:4:14†

where N is the density of atoms per volume unit and E is the characteristic inelastic angle defined as
Ep =2E0 in the non-relativistic description and as
Ep = m0 v2 {with

ˆ ‰1 …v2 =c2 †Š 1=2 } in the relativistic case. The angular dependence of the differential cross section for plasmon scattering is shown in Fig. 4.3.4.14. The integral cross section up to an angle 0 is Z 0  p … 0 † ˆ 0

 dp
Ep log … 0 =E † : d ˆ d

Na0 m0 v2

…4:3:4:15†

The total plasmon cross section is calculated for 0 ˆ c ˆ qc =k0 . Converted into mean free path, this becomes   1 1 a  ˆ 0 log c (non-relativistic formula); p ˆ E Np E …4:3:4:16† and a m v2 p ˆ 0 0
Ep

hqc v log 1:132 h !p

!

1

(relativistic formula): …4:3:4:17†

The behaviour of p as a function of the primary electron energy is shown in Fig. 4.3.4.15. 4.3.4.3.2. Dielectric description The description of the bulk plasmon in the free-electron gas can be extended to any type of condensed material by introducing the dielectric response function "…q; !†, which describes the frequency and wavevector-dependent polarizability of the medium; cf. Daniels et al (1970). One associates, respectively, the "T and "L functions with the propagation of transverse and longitudinal EM modes through matter. In the small-q limit, these tend towards the same value: lim "T …q; !† ˆ lim "L …q; !† ˆ "…0; !†:

q!0

q!0

As transverse dielectric functions are only used for wavevectors close to zero, the T and L indices can be omitted so that: "L …q; !† ˆ "…q; !† and

"T …q; !† ˆ "…0; !†:

The transverse solution corresponds to the normal propagation of EM waves in a medium of dielectric coefficient "…0; !†, i.e. to

Fig. 4.3.4.14. Measured angular dependence of the differential cross section d= d for the 15 eV plasmon loss in Al (dots) compared with a calculated curve by Ferrell (solid curve) and with a sharp cut-off approximation at c (dashed curved). Also shown along the scattering angle axis, E ˆ characteristic inelastic angle as
E=2E0 , R ~ ˆ median inelastic angle defined by Rdefined c ~  0 … d= d † d ˆ 1=2R 0 … d= d † d ,R and  ˆ average inelastic angle defined by  ˆ … d= d † d = … d= d † d [courtesy of Egerton (1986)].

Fig. 4.3.4.15. Variation of plasmon excitation mean free path p as a function of accelerating voltage V in the case of carbon and aluminium [courtesy of Sevely (1985)].

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4. PRODUCTION AND PROPERTIES OF RADIATIONS 2 2

qc "…0; !† ˆ 0: …4:3:4:18† !2 For longitudinal fields, the only solution is "…q; !† ˆ 0, which is basically the dispersion relation for the bulk plasmon. In the framework of the Maxwell description of wave propagation in matter, it has been shown by several authors [see, for instance, Ritchie (1957)] that the transfer of energy between the beam electron and the electrons in the solid is governed by the magnitude of the energy-loss function Im‰1="…q; !†Š, so that   d2  1 1 1 ˆ Im : …4:3:4:19† d…
E† d N…e  a0 †2 q2 "…q; !† One can deduce (4.3.4.14) by introducing a  function at energy loss !p for the energy-loss function:   1  …4:3:4:20† Im ˆ !p …! !p †: "…q; !† 2

As a special case, in an insulator, nf ˆ 0 and all the electrons …ni ˆ n† have a binding energy at least equal to the band gap Eg ' h!i , giving !2p ˆ …Eg =h†2 ‡ ne2 =m"0 . This description constitutes a satisfactory first step into the world of real solids with a complex system of valence and conduction bands between which there is a strong transition rate of individual electrons under the influence of photon or electron beams. In optical spectroscopy, for instance, this transition rate, which governs the absorption coefficient, can be deduced from the calculation of the factor "2 as "2 …!† ˆ

A jM 0 j2 J 0 …!†; !2 jj jj

…4:3:4:24†

where Mjj0 is the matrix element for the transition from the occupied level j in the valence band to the unoccupied level j0 in the conduction band, both with the same k value (which means for a vertical transition). Jjj0 …!† is the joint density of states (JDOS) with the energy difference h!. This formula is also valid

As a consequence of the causality principle, a knowledge of the energy-loss function Im‰1="…!†Š over the complete frequency (or energy-loss) range enables one to calculate Re‰1="…!†Š by Kramers±Kronig analysis:  Z1  1 2 1 !0 ˆ1 PP Im d!0 ; …4:3:4:21† Re 0 0 2 !2 "…!†  "…! † ! 0

where PP denotes the principal part of the integral. For details of efficient practical evaluation of the above equation, see Johnson (1975). The dielectric functions can be easily calculated for simple descriptions of the electron gas. In the Drude model, i.e. for a free-electron plasma with a relaxation time , the dielectric function at long wavelengths …q ! 0† is "…!† ˆ "1 …!† ‡ i"2 …!† ˆ 1

! 2p !2 …1

1 1=i!†;

…4:3:4:22†

with !2p ˆ ne2 =m"0 , as above. The behaviour of the different functions, the real and imaginary terms in ", and the energy-loss function are shown in Fig. 4.3.4.16. The energy-loss term exhibits a sharp Lorentzian profile centred at ! ˆ !p and of width 1=. The narrower and more intense this plasmon peak, the more the involved valence electrons behave like free electrons. In the Lorentz model, i.e. for a gas of bound electrons with one or several excitation eigenfrequencies !i , the dielectric function is X n e2 1 i ; …4:3:4:23† "…!† ˆ 1 ‡ 2 2 m"0 !i ! ‡ i!=i i where ni denotes the density of electrons oscillating with the frequency !i and i is the associated relaxation time. The characteristic "1 , "2 , and Im…1="† behaviours are displayed in Fig. 4.3.4.17: a typical `interband' transition (in solid-state terminology) can be revealed as a maximum in the "2 function, simultaneous with a `plasmon' mode associated with a maximum in the energy-loss function and slightly shifted to higher energies with respect to the annulation conditions of the "1 function. In most practical situations, there coexist a family of nf free electrons (with plasma frequency !2p ˆ nf e2 =m"0 † and one or several families of ni bound electrons (with eigenfrequencies !i †. The influence of bound electrons is to shift the plasma frequency towards lower values if !i > !p and to higher values if !i < !p .

Fig. 4.3.4.16. Dielectric and optical functions calculated in the Drude model of a free-electron gas with h!p ˆ 16 eV and  ˆ 1:64  10 16 s. R is the optical reflection coefficient in normal ‡k2 Š=‰…n ‡ 1†2 ‡ k2 Š with n and k the incidence, i.e. R ˆ ‰…n 1†2p real and imaginary parts of ". The effective numbers neff …"2 † and neff ‰Im… 1="†Š are defined in Subsection 4.3.4.5 [courtesy of Daniels et al. (1970)].

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4.3. ELECTRON DIFFRACTION for small-angle-scattering electron inelastic processes. When parabolic bands are used to represent, respectively, the upper part of the valence band and the lower part of the conduction band in a semiconductor, the dominant JDOS term close to the onset of the interband transitions takes the form JDOS / …E

Eg †1=2 ;

…4:3:4:25†

where Eg is the band-gap energy. This concept has been successfully used by Batson (1987) for the detection of gap energy variations between the bulk and the vicinity of a single misfit dislocation in a GaAs specimen. The case of non-vertical transitions involving integration over k-space has also been considered (Fink et al., 1984; Fink & Leising, 1986). 4.3.4.3.3. Real solids The dielectric constants of many solids have been deduced from a number of methods involving either primary photon or electron beams. In optical measurements, one obtains the values of "1 and "2 from a Krakers±Kronig analysis of the optical

absorption and reflection curves, while in electron energy-loss measurements they are deduced from Kramers±Kronig analysis of energy-loss functions. Fig. 4.3.4.18 shows typical behaviours of the dielectric and energy-loss functions. …a† For a free-electron metal (Al), the Drude model is a satisfactory description with a well defined narrow and intense maximum of Im… 1="† corresponding to the collective plasmon excitation together with typical conditions "1 ' "2 ' 0 for this energy h!p . One also notices a weak interband transition below 2 eV. …b† For transition and noble metals (such as Au), the results strongly deviate from the free-electron gas function as a consequence of intense interband transitions originating mostly from the partially or fully filled d band lying in the vicinity of, or just below, the Fermi level. There is no clear condition for satisfying the criterion of plasma excitation …" ˆ 0† so that the collective modes are strongly damped. However, the higherlying peak is more generally of a collective nature because it coincides with the exhaustion of all oscillator strengths for interband transitions. …c† Similar arguments can be developed for a semiconductor (InSb) or an insulator (Xe solid). In the first case, one detects a few interband transitions at small energies that do not prevent the occurrence of a pronounced volume plasmon peak rather similar to the free-electron case. The difference between the gap and the plasma energy is so great that the valence electrons behave collectively as an assembly of free particles. In contrast, for wide gap insulators (alkali halides, oxides, solid rare gases), a number of peaks are seen, owing to different interband transitions and exciton peaks. Excitons are quasi-particles consisting of a conduction-band electron and a valence-band hole bound to each other by Coloumb interaction. One observes the existence of a band gap [no excitation either in "2 or in Im… 1="† below a given critical value Eg ] and again the higher-lying peak is generally of a rather collective nature. CÏerenkov radiation is emitted when the velocity v of an electron travelling through a medium exceeds the speed of light for a particular frequency in this medium. The criterion for CÏerenkov emission is "1 …!† >

c2 ˆ 2: v2

…4:3:4:26†

In an insulator, "1 is positive at low energies and can considerably exceed unity, so that a `radiation peak' can be detected in the corresponding energy-loss range (between 2 and 4 eV in Si, Ge, III±V compounds, diamond, . . .); see Von Festenberg (1968), KroÈger (1970), and Chen & Silcox (1971). The associated scattering angle,  ' lel =lph ' 10 5 rad for high-energy electrons, is very small and this contribution can only be detected using a limited forward-scattering angular acceptance. In an anisotropic crystal, the dielectric function has the character of a tensor, so that the energy-loss function is expressed as 0 1 1 B C Im@ P P A: "ij qi qj i

Fig. 4.3.4.17. Same as previous figure, but for a Lorentz model with an oscillator of eigenfrequency h!0 ˆ 10 eV and relaxation time 0 ˆ 6:6  10 16 s superposed on the free-electron term [courtesy of Daniels et al. (1970)].

j

If it is transformed to its orthogonal principal axes …"11 ; "22 ; "33 †, and if the q components in this system are q1 ; q2 ; q3 , the above expression simplifies to

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…4:3:4:27†

4. PRODUCTION AND PROPERTIES OF RADIATIONS

Fig. 4.3.4.18. Dielectric coefficients "1 , "2 and Im… 1="† from a collection of typical real solids: …a† aluminium [courtesy of Raether (1965)]; …b† gold [courtesy of Wehenkel (1975)]; …c† InSb [courtesy of Zimmermann (1976)]; …d† solid xenon at ca 5 K [courtesy of Keil (1968)].

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0

1

1 A : Im@ P "ii q 2i

4.3. ELECTRON DIFFRACTION …4:3:4:28†

The corresponding charge-density fluctuation is contained within the …x† boundary plane, z being normal to the surface: …x; z† ' cos…q
x

i

In a uniaxial crystal, such as a graphite, "11 ˆ "22 ˆ "? and "33 ˆ "k (i.e. parallel to the c axis): "…q; !† ˆ "? sin2  ‡ "k cos2 ;

4.3.4.3.4. Surface plasmons Volume plasmons are longitudinal waves of charge density propagating through the bulk of the solid. Similarly, three exist longitudinal waves of charge density travelling along the surface between two media A and B (one may be a vacuum): these are the surface plasmons (Kliewer & Fuchs, 1974). Boundary conditions imply that "A …!† ‡ "B …!† ˆ 0:

…4:3:4:31†

and the associated electrostatic potential oscillates in space and time as

…4:3:4:29†

where  is the angle between q and the c axis. The spectrum depends on the direction of q, either parallel or perpendicular to the c axis, as shown in Fig. 4.3.4.19 from Venghaus (1975). These experimental conditions may be achieved by tilting the graphite layer at 45 with respect to the incident axis, and recording spectra in two directions at E with respect to it (see Fig. 4.3.4.20).

!t†…z†;

'…x; z†  cos …q
x

!t† exp … qjzj†:

…4:3:4:32†

The characteristic energy !s of this surface mode is estimated in the free electron case as: In the planar interface case: 9 !p > !s ˆ p > > > 2 > > > > (interface metal±vacuum); > > > > !p > > > !s ˆ = 1=2 …1 ‡ "d † …4:3:4:33† > (interface metal±dielectric of constant "d ); > > > > >  2 1=2 > > !pA ‡ !2pB > > !s ˆ > > > 2 > > ; (interface metal A±metal B).

…4:3:4:30†

In the spherical interface case:

Fig. 4.3.4.19. Dielectic functions in graphite derived from energy losses for E ? c (i.e. the electric field vector being in the layer plane) and for Ekc [from Daniels et al. (1970)]. The dashed line represents data extracted from optical reflectivity measurements [from Taft & Philipp (1965)].

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4. PRODUCTION AND PROPERTIES OF RADIATIONS …!s †l ˆ

!p ‰…2l ‡ 1†=lŠ

1=2

…4:3:4:34a†

(metal sphere in vacuum ± the modes are now quantified following the l quantum number in spherical geometry); !p …4:3:4:34b† …!s †l ˆ ‰…2l ‡ 1†=…l ‡ 1†Š1=2 (spherical void within metal). Thin-film geometry:  1=2 1  exp … qt† …!s † ˆ !p 1 ‡ "d

…4:3:4:35†

(metal layer of thickness t embedded in dielectric films of constant "d ). The two solutions result from the coupling of the oscillations on the two surfaces, the electric field being symmetric for the …!s † mode and antisymmetric for the …!s †‡ . In a real solid, the surface plasmon modes are determined by the roots of the equation "…!s † ˆ 1 for vacuum coating [or "…!s † ˆ "d for dielectric coating]. The probability of surface-loss excitation Ps is mostly governed by the Im{ 1=‰1 ‡ "…!†Š} energy-loss function, which is analogous for surface modes to the bulk Im{ 1=‰"…!†Š} energy-loss function. In normal incidence, the differential scattering cross section dPs =d is zero in the forward direction, reaches a maximum for  ˆ E =31=2 , and decreases as  3 at large angles. In non-normal incidence, the angular distribution is asymmetrical, goes through a zero value for momentum transfer hq in a direction perpendicular to the interface, and the total probability increases as Ps …'† ˆ

Ps …O† ; cos '

Core excitations appear as edges superimposed, from the threshold energy Ec upwards, above a regularly decreasing background. As explained below, the basic matrix element governing the probability of transition is similar for optical absorption spectroscopy and for small-angle-scattering EELS spectroscopy. Consequently, selection rules for dipole transitions define the dominant transitions to be observed, i.e. l0

l ˆ
l ˆ 1

and

j0

j ˆ
j ˆ 0; 1:

…4:3:4:37†

This major rule has important consequences for the edge shapes to be observed: approximate behaviours are also shown in Fig. 4.3.4.22. A very useful library of core edges can be found in the EELS atlas (Ahn & Krivanek, 1982), from which we have selected the family of edges gathered in Fig. 4.3.4.23. They display the following typical profiles: (i) K edges for low-Z elements …3  Z  14†. The carbon K edge occurring at 284 eV is a nice example with a clear hydrogenic or saw-tooth profile and fine structures on threshold depending on the local environment (amorphous, graphite, diamond, organic molecules, . . .); see Isaacson (1972a,b). < (ii) L2;3 edges for medium-Z elements …11 <  Z  45†. The L2;3 edges exhibit different shapes when the outer occupied shell changes in nature: a delayed profile is observed as long as the first vacant d states are located, along the energy scale, rather above the Fermi level (sulfur case). When these d states coincide with the first accessible levels, sharp peaks, generally known as `white lines', appear at threshold (this is the case for transition elements with the Fermi level inside the d band). These lines are generally split by the spin-orbit term on the initial level into 2p3=2 and 2p1=2 (or L3 and L2 ) terms. For higher-Z elements, the bound d levels are fully occupied, and

…4:3:4:36†

where ' is the incidence angle between the primary beam and the normal to the surface. As a consequence, the probability of producing one (and several) surface losses increases rapidly for grazing incidences. 4.3.4.4. Excitation spectrum of core electrons 4.3.4.4.1. Definition and classification of core edges As for any core-electron spectroscopy, EELS spectroscopy at higher energy losses mostly deals with the excitation of well defined atomic electrons. When considering solid specimens, both initial and final states in the transition are actually eigenstates in the solid state. However, the initial wavefunction can be considered as purely atomic for core excitations. As a first consequence, one can classify these transitions as a function of the parameters of atomic physics: Z is the atomic number of the element; n, l, and j ˆ l ‡ s are the quantum numbers describing the subshells from which the electron has been excited. The spectroscopy notation used is shown in Fig. 4.3.4.21. The list of major transitions is displayed as a function of Z and Ec in Fig. 4.3.4.22.

Fig. 4.3.4.20. Geometric conditions for investigating the anisotropic energy-loss function.

Fig. 4.3.4.21. Definition of electron shells and transitions involved in core-loss spectroscopy [from Ahn & Krivanek (1982)].

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4.3. ELECTRON DIFFRACTION no longer contribute as host orbitals for the excited 2p electrons. One finds again a more traditional hydrogenic profile (such as for the germanium case). < (iii) M4;5 edges for heavier-Z elements …37 <  Z  83†. A sequence of M4;5 edge profiles, rather similar to L2;3 edges, is observed, the difference being that one then investigates the density of the final f states. White lines can also be detected when the f levels lie in the neighbourhood of the Fermi level, e.g. for rare-earth elements.

The deeper accessible signals, for incident electrons in the range of 100±400 kV primary voltage, lie between 2500 and 3000 eV, which corresponds roughly to the middle of the second row of transition elements (Mo±Ru) for the L2;3 edge and to the very heavy metals (Pb±Bi) for the M4;5 edge. (iv) A final example in Fig. 4.3.4.23 concerns one of these resonant peaks associated with the excitation of levels just below the conduction band. These are features with high intensity of the same order or even superior to that of plasmons of conduction

Fig. 4.3.4.22. Chart of edges encountered in the 50 eV up to 3 keV energy-loss range with symbols identifying the types of shapes [see Ahn & Krivanek (1982) for further comments].

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4. PRODUCTION AND PROPERTIES OF RADIATIONS band electrons previously described in Subsection 4.3.4.3. It occurs with the M2;3 level for the first transition series, with the N2;3 level for the second series (for example, strontium in Fig. 4.3.4.23) or with the O2;3 level for the third series, including the rare-earth elements. The shape varies gradually from a plasmonlike peak with a short lifetime to an asymmetric Fano-type profile, a consequence of the coupling between discrete and continuum final states of the same energy (Fano, 1961). 4.3.4.4.2. Bethe theory for inelastic scattering by an isolated atom (Bethe, 1930; Inokuti, 1971, 1979) As a consequence of the atomic nature of the excited wavefunction in core-loss spectroscopy, the first step involves deriving a useful theoretical expression for inelastic scattering by an isolated atom. The differential cross section for an electron of wavevector k to be scattered into a final plane wave of vector k0 , while promoting one atomic electron from 0 to n , is given in a one-electron excitation description by  2 0 dn m0 k ˆ jh n k0 jV …r†j 0 kij2 ; …4:3:4:38† d d…
E† k 2h2

see, for instance, Landau & Lifchitz (1966) and Mott & Massey (1952). The potential V …r† corresponds to the Coulomb interaction with all charges (both in the nucleus and in the electron cloud) of the atom. The momentum change in the scattering event is hq ˆ h…k k0 †. The final-state wavefunction is normalized per unit energy range. The orthogonality between initial- and final-state wavefunctions restricts the inelastic scattering to the only interactions with atomic electrons: dn 4 2 k0 ˆ 2 4 jE n …q;
E†j2 : d d…
E† a0 q k

…4:3:4:39†

The first part of the above expression has the form of Rutherford scattering. is introduced to deal, to a first approximation, with relativistic effects. The ratio k0 =k is generally assumed to be equal to unity. This kinematic scattering factor is modified by the second term, or matrix element, which describes the response of the atomic electrons:   P exp …iq
r † …4:3:4:40† E n …q;
E† ˆ n j 0 ; j

where the sum extends over all atomic electrons at positions rj . The dimensionless quantity is known as the inelastic form factor. For a more direct comparison with photoabsorption measurements, one introduces the generalized oscillator strength (GOS) as df …q;
E†
E jE n …q;
E†j2 ˆ d…
E† R …qa0 †2

…4:3:4:41†

for transitions towards final states " in the continuum ‰
E is then the energy difference between the core level and the final state of kinetic energy " above the Fermi level, scaled in energy to the Rydberg energy …R†]. Also, fn …q† ˆ

En jE n …q†j2 R …qa0 †2

…4:3:4:42†

for transition towards bound states. In this case, En is the energy difference between the two states involved. The generalized oscillator strength is a function of both the energy
E and the momentum hq transferred to the atom. It is displayed as a three-dimensional surface known as the Bethe surface (Fig. 4.3.4.24), which embodies all information concerning the inelastic scattering of charged particles by atoms. The angular dependence of the cross section is proportional to 1 df …q;
E† q2 d…
E† at a given energy loss
E. In the small-angle limit …qrc  1, where rc is the average radius of the initial orbital), the GOS reduces to the optical oscillator strength df …q;
E† df …0;
E† ! d…
E† d…
E† and

 E n …q;
E† ! E n …0;
E† ˆ q 2

Fig. 4.3.4.23. A selection of typical profiles …K; L2;3 ; M4;5 ; and N2;3 † illustrating the most important behaviours encountered on major edges through the Periodic Table. A few edges are displayed prior to and others after background stripping. [Data extracted from Ahn & Krivanek (1982).]

j

 2 0 ; …4:3:4:43†

where u is the unit vector in the q direction. When one is concerned with a given orbital excitation, the sum over rj reduces to a single term r for this electron. With some elementary calculations, the resulting cross section is

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P u
rj n

4.3. ELECTRON DIFFRACTION 2

d 4 2 R 1 df …0;
E† ˆ : 2 2 2 d d…
E†
E k  ‡ E d…
E†

…4:3:4:44†

The major angular dependence is contained, as in the low-loss domain, in the Lorentzian factor …2 ‡ E2 † 1 , with the characteristic inelastic angle E being again equal to
E= m0 v2 . Over this reduced scattering-angle domain, known as the dipole region, the GOS is approximately constant and the inner-shell EELS spectrum is directly proportional to the photoabsorption cross section opt , whose data can be used to test the results of single-atom calculations. For larger scattering angles, Fig. 4.3.4.24 exhibits two distinct behaviours for energy losses just above the edge … df = d
E drops regularly to zero), and for energy losses much greater than the core-edge threshold. In the latter case, the oscillator strength is mostly concentrated in the Bethe ridge, the maximum of which occurs for: 9
E 2 > (non-relativistic formula), > …qa0 † ˆ = R …4:3:4:45† 2
E …
E† > > ; …qa0 †2 ˆ (relativistic formula): R 2m0 c2 R This contribution at large scattering angles is equivalent to direct knock-on collisions of free electrons, i.e. to the curve
E ˆ h2 q2 =2m0 lying in the middle of the valence-electron±hole excitations continuum (see Fig. 4.3.4.13). The non-zero width of the Bethe ridge can be used as an electron Compton profile to analyse the momentum distribution of the atomic electrons [see also x4:3:4:4:4…c†Š. The energy dependence of the cross section, responsible for the various edge shapes discussed in x4:3:4:4:1, is governed by 1 df …q;
E† ;
E d…
E† i.e. it corresponds to sections through the Bethe surface at constant q. Within the general theory described above, various models have been developed for practical calculations of energy differential cross sections.

Fig. 4.3.4.24. Bethe surface for K-shell ionization, calculated using a hydrogenic model. The generalized oscillator strength is zero for energy loss E below the threshold EK . The horizontal coordinate is related to scattering angle through q [from Egerton (1979)].

The hydrogenic model due to Egerton (1979) is an extension of the quantum-mechanical calculations for a hydrogen atom to inner-shell electron excitations in an atom Z by introduction of some useful parametrization (effective nuclear charge, effective threshold energy). It is applied in practice for K and L2;3 shells. In the Hartree±Slater (or Dirac±Slater) description, one calculates the final continuum-state wavefunction in a selfconsistent central field atomic potential (Leapman, Rez & Mayers, 1980; Rez, 1989). The radial dependence of these wavefunctions is given by the solution of a SchroÈdinger equation with an effective potential: Veff …r† ˆ V …r† ‡

…4:3:4:46†

where ‰l0 …l0 ‡ 1†h2 Š=2m0 r 2 is the centrifugal potential, which is important for explaining the occurrence of delayed maxima in spectra involving final states of higher l0 . This approach is now useful for any major K, L2;3 , M4;5 ; . . . edge, as illustrated by Ahn & Rez (1985) and more specifically in rare-earth elements by Manoubi, Rez & Colliex (1989). These differential cross sections can be integrated over the relevant angular and energy domains to provide data comparable with experimental measurements. In practice, one records the energy spectral distribution of electrons scattered into all angles up to the acceptance value of the collection aperture. The integration has therefore to be made from qmin ' kE for the zero scattering-angle limit, up to qmax ' k . Fig. 4.3.4.25 shows how such calculated profiles can be used for fitting experimental data. Setting ˆ  [or equal to an effective upper limit max ' …
E=E0 †1=2 corresponding to the criterion qmax r ' 1Š, the integral cross section is the total cross section for the excitation of a given core level. These ionization cross sections are required for quantification in all analytical techniques using core-level excitations and de-excitations, such as EELS, Auger electron spectroscopy, and X-ray microanalysis (see Powell, 1976, 1984). A convenient way of comparing total cross sections is to rewrite the Bethe asymptotic cross section as

Fig. 4.3.4.25. A novel technique for simulating an energy-loss spectrum with two distinct edges as a superposition of theoretical contributions (hydrogenic saw-tooth for O K, Lorentzian white lines and delayed continuum for Fe L2;3 calculated with the Hartree±Slater description). The best fit between the experimental and the simulated spectra is shown; it can be used to evaluate the relative concentration of the two elements [see Manoubi et al. (1990)].

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l0 …l0 ‡ 1† h2 ; 2m0 r 2

4. PRODUCTION AND PROPERTIES OF RADIATIONS nl Enl2 ˆ 6:51  10

14

Znl bnl

log…Cnl Unl † ; Unl

…4:3:4:47†

when the result is given in cm2 , nl is the total cross section per atom or molecule or ionization of the nl subshell with edge energy Enl , Znl is the number of electrons on the nl level, and Unl is the overvoltage defined as E0 =Enl . bnl and cnl are two parameters representing phenomenologically the average number of electrons involved in the excitation and their average energy loss (one finds for the major K and L2;3 edges bnl ' 0:6±0:9 and cnl ' 0:5±0:7). These values are in practice estimated from plots of curves nl E 2nl Unl as a function of log Unl , known as Fano plots. From least-squares fits to linear regions, one can evaluate the values of bnl (slope of the curves) and of log cnl (coordinate at the origin) for various elements and shells. However, it has been shown more recently (Powell, 1989) that the interpretation of Fano plots is not always simple, since they typically display two linear regions. It is only in the linear region for the higher incident energies that the plots show the asymptotic Bethe dependence with the slope directly related to the optical data. At lower incident energies, another linear region is found with a slope typically 10±20% greater. Despite great progress over the last two decades, more cross-section data, either theoretical or experimental, are still required to improve to the 1% level the accuracy in all techniques using these signals. 4.3.4.4.3. Solid-state effects The characteristic core edges recorded from solid specimens display complex structures different from those described in atomic terms. Moreover, their detailed spectral distributions depend on the type of compound in which the element is present (Leapman, Grunes & Fejes, 1982; Grunes, Leapman, Wilker, Hoffmann & Kunz, 1982; Colliex, Manoubi, Gasgnier & Brown, 1985). Modifications induced by the local solid-state environment concern (see Fig. 4.3.4.26) the following: …a† The threshold (or edge itself), which may vary in position, slope, and associated fine structures. From photoelectron spectroscopies (UPS, XPS), an edge displacement along the energy scale is known as a `chemical shift': it is due to a shift in the energy of the initial level as a consequence of the atomic potential modifications induced by valence-electron charge transfer (e.g. from metal to oxide). EELS is actually a twolevel spectroscopy and the observed changes at edge onset concern both initial and final states. Consequently, measured shifts are due to a combination of core-level energy shift with bandgap and exciton creation. Some important shifts have been measured in EELS such as: ± carbon K: 284 to 288 eV from graphite to diamond;

Fig. 4.3.4.26. Definition of the different fine structures visible on a core-loss edge.

± aluminium L2;3 : 73 to 77 eV from metal to Al2 O3 ; ± silicon L2;3 : 99.5 to 106 eV from Si to SiO2 . However, `chemical shift' constitutes a simplified description of the more complex changes that may occur at a given threshold in various compounds. It assumes a rigid translation of the edge, but in most cases the onset changes in shape and there are no simple features to correlate through the different spectra. This remark is more relevant with the increased energy resolution that is now available. With a sub-eV value, extra peaks or splittings can frequently be detected on edges that exhibit simple shapes when recorded at lower resolution. Among others, the L32 white lines in transition metals show different behaviours when involved in various environments: ± crystal-field-induced splitting for each line in the oxides Sc2 O3 , TiO2 when compared with the metal (see Fig. 4.3.4.27). ± relative change in L3 =L2 intensity ratio between different ionic species [most important when the occupancy degree n for the d band is of the order of 5, i.e. around the middle of the transition series, e.g. Mn and Fe oxides; see for instance, Rask, Miner & Buseck (1987) and Rao, Thomas, Williams & Sparrow (1984)]. ± presence of a narrow white line instead of a hydrogenic profile when the electron transfer from the metal to its ligand induces the existence of vacant d states at the Fermi level (CuO compared with Cu, see Fig. 4.3.4.28). …b† The near-edge fine structures (ELNES), which extend over the first 20 or 30 eV above threshold (Taftù & Zhu, 1982; Colliex et al., 1985). These are very similar to XANES structures in X-ray photoabsorption spectroscopy: they mostly reflect the spectral distribution of vacant accessible levels and are consequently very sensitive to site symmetry and charge transfer. Several approaches have been proposed to interpret them. A molecular-orbital description [e.g. Fischer (1970) or Tossell, Vaughan & Johnson (1974)] classifies the energy levels, both occupied and unoccupied, for clusters comprising the central excited ion and its first shell of neighbours. Its major success lies in the interpretation of level splitting on edges. A one-electron band calculation constitutes a second step with noticeable successes in the case of metals (MuÈller, Jepsen &

Fig. 4.3.4.27. High-energy resolution spectra on the L2;3 titanium edge from two phases (rutile and anatase) of TiO2 . Each atomic line L3 and L2 is split into two components A and B by crystal-field effects. The new level of splitting B1 B2 that distinguishes the two spectra is not yet understood. In Ti metal, the L3 and L2 lines are not split by structural effects [courtesy of Brydson et al. (1989)].

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4.3. ELECTRON DIFFRACTION Wilkins, 1982). Core-loss spectroscopy, however, imposes specific conditions on the accessible final state: the overlap with the initial core wavefunction involves a projection in space on the site of the core hole, and the dominant dipole selection rules are responsible for angular symmetry selection. When extending the band-structure calculations to energy states rather high above the Fermi level, more elaborate methods, combining the conceptual advantage of the tight-binding method with the accuracy of ab initio pseudopotential calculations, have been developed (Janssen & Sankey, 1987). This self-consistent pseudo-atomic orbital band calculation has been used to describe ELNES structures on different covalent solids (Weng, Rez & Ma, 1989; Weng, Rez & Sankey, 1989). The most promising description at present is the multiple scattering method developed for X-ray absorption spectra by Durham, Pendry & Hodges (1981) and Vvedensky, Saldin & Pendry (1985). It interprets the spectral modulations, in the energy range 10 to 30 eV above the edge, as due to interference effects, on the excited site, between all waves back-scattered by the neighbouring atoms (see Fig. 4.3.4.29). This multiple scattering description in real space should in principle converge towards the local point of view in the solid-state band model, calculated in reciprocal space (Heine, 1980). As an example investigated by EELS, the oxygen and magnesium K edges in MgO have been calculated by Lindner, Sauer, Engel & Kambe (1986) and by Weng & Rez (1989) for increased numbers of coordination shells and different potential models (representing variable ionicities). Fig. 4.3.4.30 shows the comparison of an experimental spectrum with such a calculation. Another useful idea emerging from this model is the simple relation, expressed by Bianconi, Fritsch, Calas & Petiau (1985):

…Er

Eb † d 2 ˆ C;

…4:3:4:48†

where Er is the energy position of a given resonance peak attributed to multiple scattering from a given shell of neighbours (d is the distance to this shell), and Eb is a reference energy close to the threshold energy. This simple law, advertised as the way of measuring `bond lengths with a ruler' (Stohr, Sette & Jonson, 1984), seems to be quite useful when comparing similar structures (Lytle, Greegor & Panson, 1988). Other effects, generally described as multi-electron contributions, cannot be systematically omitted. They all deal with the presence of a core hole on the excited atom and with its influence on the distribution of accessible electron states. Of particular importance are the intra-atomic configuration interactions for white lines, as explained by Zaanen, Sawatsky, Fink, Speier & Fuggle (1985) for L3 and L2 lines in transition metals and by Thole, van der Laan, Fuggle, Swatsky, Karnatak & Esteva (1985) for M4;5 lines in rare-earth elements. …c† The extended fine structures (EXELFS) are equivalent to the well known EXAFS oscillations in X-ray absorption spectroscopy (Sayers, Stern & Lytle, 1971; Teo & Joy, 1981). Within the previously described multiscattering theory, it corresponds to the first step, the single scattering regime (see Fig. 4.3.4.29a). These extended oscillations are due to the interference on the excited atom between the outgoing excited

Fig. 4.3.4.29. Illustration of the single and multiple scattering effects used to describe the final wavefunction on the excited site. This theory is very fruitful for understanding and interpreting EXELFS and ELNES features, respectively equivalent to EXAFS and XANES encountered in X-ray absorption spectra.

Fig. 4.3.4.28. The dramatic change in near-edge fine structures on the L3 and L2 lines of Cu, from Cu metal to CuO. The appearance of the intense narrow white lines is due to the existence of vacant d states close to the Fermi level [courtesy of Leapman et al. (1982)].

Fig. 4.3.4.30. Comparison of the experimental O K edge (solid line) with calculated profiles in the multiple scattering approach [courtesy of Weng & Rez (1989)].

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4. PRODUCTION AND PROPERTIES OF RADIATIONS electron wavefunction and its components reflected on the nearest-neighbour atoms. This interference is destructive or constructive depending on the ratio between the return path length 2ri (where ri is the radial distance with the ith shell of backscattering atoms) and the wavelength of the excited electron. Fourier analysis of EXELFS structures, from 50 eV above the ionization threshold, gives the radial distribution function around this specific site. This is mostly a technique for measuring the local short-range order. Its accuracy has been established to be Ê on nearest-neighbour distances with test better than 0.1 A specimens, but such performance requires correction procedures for phase shifts. The method therefore seems more promising for measuring changes in interatomic distances in specimens of the same chemical composition. The major advantage of EXELFS is its applicability for small specimen volumes that can moreover be characterized by other high-resolution electron-microscopy modes. It is also possible to investigate bond lengths in different directions by selecting the scattering angle of the transmitted electron and the specimen orientation (Disko, Krivanek & Rez, 1982). On the other hand, the major limitations of EXELFS are due to the dose requirements for sufficient SNR and to the fact that the accessible excitation range is limited to edges below 2± 3 keV and to oscillation domains 200 or 300 eV at the maximum. 4.3.4.4.4. Applications for core-loss spectroscopy …a† Quantitative microanalysis The main field of application of core-loss EELS spectroscopy has been its use for local chemical analysis (Maher, 1979; Colliex, 1984; Egerton, 1986). The occurrence of an edge superimposed on the regularly decreasing background of an EELS spectrum is an indication of the presence of the associated element within the analysed volume. Methods have been developed to extract quantitative composition information from these spectra. The basic idea lies in the linear relationship between the measured signal …S† and the number …N† of atoms responsible for it (this is valid in the single core-loss domain for specimen thickness, i.e. up to several micrometres): S ˆ I0 N;

…4:3:4:49†

where I0 is the incident-beam intensity and  the relevant excitation cross section in the experimental conditions used, and N is the number of atoms per unit area of specimen. As a satisfactory approximation for taking into account multiple scattering events (either elastic or inelastic in the low-loss region), Egerton (1978) has proposed that equation (4.3.4.49) be rewritten: S… ;
† ˆ I0 … ;
†N… ;
†;

S…
† ˆ

Ec

‰I…
E†

B…
E†Š d…
E†:

NA SA … ;
† B … ;
† : ˆ NB SB … ;
† A … ;
†

This can be used to determine the NA =NB ratio without standards, if the cross-section ratio B =A (also called the kAB factor) is previously known: accuracy at present is limited to 5% for most edges. But it is also possible to extract from this formula the cross-section (or k factor) experimental values for comparison with the calculated ones, if the local stoichiometry of the specimen is satisfactorily known [Hofer, Golob & Brunegger (1988) and Manoubi et al. (1989) for the M4;5 edges]. Improvements have recently been made in order to reduce the different sources of errors. For medium-thickness specimens (i.e. for t ' lp where lP is the mean free path for plasmon excitation), deconvolution techniques are introduced for a safer determination of the signal. When the background extrapolation method cannot be used, i.e. when edges overlap noticeably, new approaches (such as illustrated in Fig. 4.3.4.25) try to determine the best simulated profile over the whole energy-loss range of interest. It requires several contributions, either deduced from previous measurements on standard (Shuman & Somlyo, 1987; Leapman & Swyt, 1988), or from reasonable mathematical models with different contributions for dealing with transitions towards bound states or continuum states (Manoubi, Tence, Walls & Colliex, 1990). …b† Detection limits This method has been shown to be the most successful of all EM techniques in terms of ultimate mass sensitivity and associated spatial resolution. This is due to the strong probability of excitation for the signals of interest (primary ionization event) and to the good localization of the characteristic even within the irradiated volume of material. Variations in composition have been recorded at a subnanometre level (Scheinfein & Isaacson, 1986; Colliex, 1985; Colliex, Maurice & Ugarte, 1989). In terms of ultimate sensitivity (minimum number of identified atoms), the range of a few tens of atoms (10 21 g) has been reached as early as about 15 years ago in the pioneering work of

…4:3:4:51†

Fig. 4.3.4.31. The conventional method of background subtraction for the evalulation of the characteristic signals SO K and SFe L2;3 used for quantitative elemental analysis (to be compared with the approach described in Fig. 4.3.4.25).

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…4:3:4:52†

…4:3:4:50†

where all quantities correspond to a limited angle of collection and to a limited integration window
(eV) above threshold for signal measurement. A major problem is the evaluation of the signal itself after background subtraction. The method generally used, demonstrated in Fig. 4.3.4.31, involves extrapolating a modelized background profile below the core loss of interest. Following Egerton (1978), the choice of a power law B…
E† ˆ A
E R is satisfactory in many cases, and the signal is then defined as EcR‡


Numerical methods have been developed to perform this process with a well controlled analysis of statistical errors (Trebbia, 1988). In many cases, one is interested in elemental ratios; consequently, the useful formula becomes

4.3. ELECTRON DIFFRACTION Isaacson & Johnson (1975). Very recently, a level close to the single-atom identification has been demonstrated (Mory & Colliex, 1989). A major obstacle is then often radiation damage, and consequent specimen modification induced by the very intense primary dose required for obtaining sufficient SNR values. On the other hand, the EELS technique has long been less fruitful for investigating low concentrations of impurities within a matrix. This is a consequence of the very high intrinsic background under the edges of interest: in most applications, the atomic concentration detection limit was in the range 10 3 to 10 2 . The introduction of satisfactory methods for processing the systematic sources of noise in spectra acquired with parallel detection devices (Shuman & Kruit, 1985) has greatly modified this situation. One can now take full benefit from the very high number of counts thus recorded within a reasonable time (106 to 107 counts per channel) and detection of calcium of the order of 10 5 atomic concentration in an organic matrix has been demonstrated by Shuman & Somlyo (1987). …c† Crystallographic information in EELS Although not particularly suited to solving crystal-structure problems, EELS carries structural information at different levels: In a crystalline specimen, one detects orientation effects on the intensity of core-loss edges. This is a consequence of the channelling of the Bloch standing waves as a function of the crystal orientation This observation requires well collimated angular conditions and inelastic localization better than the lattice spacing responsible for elastic diffraction. When these criteria apply, the changes in core-loss excitations with crystallographic orientation can be used to determine the crystallographic site of specific atoms (Tafto & Krivanek, 1982). An equivalent method, known as ALCHEMI (atom location by channelling enhanced microanalysis), which involves measuring the change of X-ray production as a function of crystal orientation, has been applied to the determination of the preferential site for substitutional impurities in many crystals (Spence & Tafto, 1983). Energy-filtered electron-diffraction patterns of core-loss edges could reveal the symmetry of the local coordination of selected atomic species rather than the symmetry of the crystal as a whole. This type of information should be compared with ELNES data (Spence, 1981). At large scattering angles, and for energy losses far beyond the excitation threshold, the Bethe ridge [or electron Compton profile (see xx4.3.4.3.3 and 4.3.4.4.2)] constitutes a major feature easily observable in energy-filtered diffraction patterns (Reimer & Rennekamp, 1989). The width of this feature is associated with the momentum distribution of the excited electrons (Williams & Bourdillon, 1982). Quantitative analysis of the data is similar to the Fourier method for EXELFS oscillations. After subtracting the background contribution, the spectrum is converted into momentum space and Fourier transformed to obtain the reciprocal form factor B…r†: it is the autocorrelation of the ground-state wavefunction in a direction specified by the scattering vector q. This technique of data analysis to study electron momentum densities is directly developed from high-energy photon-scattering experiments (Williams, Sparrow & Egerton, 1984).

investigating various aspects of the electronic structure of solids, As a fundamental application, it is now possible to construct a self-consistent set of data for a substance by combination of optical or energy-loss functions over a wide spectral range (Altarelli & Smith, 1974; Shiles, Sazaki, Inokuti & Smith, 1980: Hagemann, Gudat & Kunz, 1975). Sum-rule tests provide useful guidance in selecting the best values from the available measurements. The Thomas±Reiche±Kuhn f-sum rule can be expressed in a number of equivalent forms, which all require the knowledge of a function ‰"2 ; ; Im… 1="†Š describing dissipative processes over all frequencies: 9 Z1  2 > > > !"2 …!† d! ˆ !p ; > > > 2 > > > 0 > > > 1 > Z  2 = !…!† d! ˆ !p ; …4:3:4:53† 4 > > > 0 > > > >  Z1  > > 1  2 > > ! d! ˆ !p : > > ; "…!† 2 0

One defines the effective number density neff of electrons contributing to these various absorption processes at an energy h! by the partial f sums: 9 Z! > m0 > 0 0 0 > > ! "2 …! † d! ; neff …!†j"2 ˆ 2 2 > > 2 e > > > 0 > > > ! > Z = m0 0 0 0 neff …!†j ˆ 2 2 ! …! † d! ; …4:3:4:54† e > > > 0 > > > >  Z!  > > m0 1 0 0 > > > neff …!†j 1=" ˆ 2 2 ! : d! > 0 ; 2 e "…! † 0

As an example, the values of neff …!† from the infrared to beyond the K-shell excitation energy for metallic aluminium are shown in Fig. 4.3.4.32. In this case, the conduction and core-electron contributions are well separated. One sees that the excitation of conduction electrons is virtually completed above the plasmon resonance only, but the different behaviour of the integrands below this value is a consequence of the fact that they describe different properties of matter: "2 …!† is a measure of the rate of energy dissipation from an electromagnetic wave, …!† describes

4.3.4.5. Conclusions Since the early work of Hillier & Baker (1944), EELS spectroscopy has established itself as a prominent technique for

Fig. 4.3.4.32. Values of neff for metallic aluminium based on composite optical data [courtesy of Shiles et al. (1980)].

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4. PRODUCTION AND PROPERTIES OF RADIATIONS the decrease in amplitude of the wave, and Im‰ " 1 …!†Š is related to the energy loss of a fast electron. The above curve shows some exchange of oscillator strength from core to valence electrons, arising from the Pauli principle, which forbids transitions to occupied states for the deeper electrons. More practically, in the microanalytical domain, the combination of high performance attained by using EELS with parallel detection (i.e. energy resolution below 1 eV, spatial resolution below 1 nm, minimum concentration below 10 3 atom, time resolution below 10 ms) makes it a unique tool for studying local electronic properties in solid specimens.

The latter is defined by the absolute value c and the normal projection cn on the ab plane, with components xn , yn along the axes a, b. In the triclinic case,

The formation of textures in specimens for diffraction experiments is a natural consequence of the tendency for crystals of a highly anisotropic shape to deposit with a preferred orientation. The corresponding diffraction patterns may present some special advantages for the solution of problems of phase and structure analysis. Lamellar textures composed of crystals with the most fully developed face parallel to a plane but randomly rotated about its normal are specially important. The ease of interpretation of patterns of such textures when oriented obliquely to the primary beam (OT patterns) is a valuable property of the electron-diffraction method (Pinsker, 1953; Vainshtein, 1964; Zvyagin, 1967; Zvyagin, Vrublevskaya, Zhukhlistov, Sidorenko, Soboleva & Fedotov, 1979). Texture patterns (T patterns) are also useful in X-ray diffraction (Krinary, 1975; Mamy & Gaultier, 1976; PlancËon, Rousseaux, Tchoubar, Tchoubar, Krinari & Drits, 1982). 4.3.5.2. Lattice plane oriented perpendicular to a direction (lamellar texture) If in the plane of orientation (the texture basis) the crystal has a two-dimensional cell a, b, , the c axis of the reciprocal cell will be the texture axis. Reciprocal-lattice rods parallel to c intersect the plane normal to them (the ab plane of the direct lattice) in the positions hk of a two-dimensional net that has periods 1=a sin and 1=b sin with an angle 0 ˆ  between them, whatever the direction of the c axis in the direct lattice.

Fig. 4.3.5.1. The relative orientations of the direct and the reciprocal axes and their projections on the plane ab, with indication of the distances Bhk and Dhkl that define the positions of reflections in lamellar texture patterns.

cos cos †= sin

…4:3:5:1† …4:3:5:2†

(Zvyagin et al., 1979). The lattice points of each rod with constant hk and integer l are at intervals of c ˆ 1=d001 , but their real positions, described by their distances Dhkl from the plane ab, depend on the projections of the axes a and b on c (see Fig. 4.3.5.1), the equations xn ˆ

a cos  =c

yn ˆ

b cos  =c







…4:3:5:3† …4:3:5:4†

being satisfied. The reciprocal-space representation of a lamellar texture is formed by the rotation of the reciprocal lattice of a single crystal about the c axis. The rods hk become cylinders and the lattice points become circles lying on the cylinders. In the case of highenergy electron diffraction (HEED), the wavelength of the electrons is very short, and the Ewald sphere, of radius 1=l, is so great that it may be approximated by a plane passing through the origin of reciprocal space and normal to the incident beam. The patterns differ in their geometry, depending on the angle ' through which the specimen is tilted from perpendicularity to the primary beam. At ' ˆ 0, the pattern consists of hk rings. When ' 6ˆ 0 it contains a two-dimensional set of reflections hkl falling on hk ellipses formed by oblique sections of the hk cylinders. In the limiting case of ' ˆ =2, the ellipses degenerate into pairs of parallel straight lines theoretically containing the maximum numbers of reflections. The reflection positions are defined by two kinds of distances: (1) between the straight lines hk (length of the short axes of the ellipses hk): Bhk ˆ …1= sin †…h2 =a2 ‡ k2 =b2

2hk cos =ab†1=2

…4:3:5:5†

and (2) from the reflection hkl to the line of the short axes: Dhkl ˆ …ha cos  =c ‡ kb cos  =c ‡ l†c ˆ … hxn

kyn ‡ l†=d001 :

…4:3:5:6† …4:3:5:7†

In patterns obtained under real conditions …0 < ' < =2, accelerating voltage V proportional to l 2 , distance L between the specimen and the screen), these values are presented in the scale of Ll, Dhkl also being proportional to 1= sin ' with maximum value Dmax ˆ Bhk tan ' for the registrable reflections. The values of Bhk and Dhkl , determined by the unit cells and the indices hkl, are the objects of the geometrical analysis of the OT patterns. When the symmetry is higher than triclinic, the expression for Bhk and Dhkl are much simpler. Such OT patterns are very informative, because the regular two-dimensional distribution of the hkl reflections permits definite indexing, cell determination, and intensity measurements. For low-symmetry and fine-grained substances, they present unique advantages for phase identification, polytypism studies, and structure analysis. In the X-ray study of textures, it is impossible to neglect the curvature of the Ewald sphere and the number of reflections recorded is restricted to larger d values. However, there are advantages in that thicker specimens can be used and reflections with small values of Bhk , especially the 00l reflections, can be recorded. Such patterns are obtained in usual powder cameras with the incident beam parallel to the platelets of the oriented aggregate and are recorded on photographic film in the form of hkl reflection sequences along hk lines, as was demonstrated by

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2

yn ˆ …c=b†…cos 

4.3.5. Oriented texture patterns (By B. B. Zvyagin) 4.3.5.1. Texture patterns

cos  cos †= sin2

xn ˆ …c=a†…cos

4.3. ELECTRON DIFFRACTION Mamy & Gaultier (1976). The hk lines are no longer straight, but have the shapes described by Bernal (1926) for rotation photographs. It is difficult, however, to prepare good specimens. Other arrangements have been developed recently with advantages for precise intensity measurements. The reflections are recorded consecutively by means of a powder diffractometer fitted with a goniometer head. The relation between the angle of tilt ' and the angle of diffraction (twice the Bragg angle) 2 depends on the reciprocal-lattice point to be recorded. If the latter is defined by a vector of length H ˆ …2 sin †=l and by the angle ! between the vector and the plane of orientation (texture basis), the relation ' ˆ  ! permits scanning of reciprocal space along any trajectory by proper choice of consecutive values of ! or . In particular, if ! is constant, the trajectory is a straight line passing through the origin at an angle ! to the plane of orientation (Krinary, 1975). Using additional conditions ‰! ˆ arctan…D=B†, H ˆ …B2 ‡ D2 †1=2 Š, PlancËon et al. (1982) realized the recording and the measurement of intensities along the cylinder-generating hk rods for different shapes of the misorientation function N…†. In the course of development of electron diffractometry, a deflecting system has been developed that permits scanning the electron diffraction pattern across the fixed detector along any direction over any interval (Fig. 4.3.5.2). The intensities are measured point by point in steps of variable length. This system

is applicable to any kind of two-dimensional intensity pattern, and in particular to texture patterns (Zvyagin, Zhukhlistov & Plotnikev, 1996). Electron diffractometry provides very precise intensity measurements and very reliable structural data (Zhukhlistov et al., 1997). If the effective thickness of the lamellae is very small, of the order of the lattice parameter c, the diffraction pattern generates into a combination of broad but recognizably distinct 00l reflections and broad asymmetrical hk bands (Warren, 1941). The classical treatments of the shape of the bands were given by MeÂring (1949) and Wilson (1949) [for an elementary introduction see Wilson (1962)]. 4.3.5.3. Lattice direction oriented parallel to a direction (fibre texture) A fibre texture occurs when the crystals forming the specimen have a single direction in common. Each point of the reciprocal lattice describes a circle lying in a plane normal to the texture axis. The pattern, considered as plane sections of the reciprocallattice representation, resembles rotation diagrams of single crystals and approximates to the patterns given by cylindrical lattices (characteristic, for example, of tubular crystals). If the a axis is the texture axis, the hk rods are at distances Bhk ˆ … h cos =a ‡ k=b†= sin

…4:3:5:8†

from the texture axis and Dhk ˆ h=a

…4:3:5:9†

from the plane normal to the texture axis (the zero plane b c ). On rotation, they intersect the plane normal to the incident beam and pass through the texture axis in layer lines at distances Dhk from the zero line, while the reflection positions along these lines are defined by their distances from the textures axis (see Fig. 4.3.5.3): Bhkl ˆ ‰B2hk ‡ … hxn

kyn ‡ l†2 =d 2001 Š1=2 :

…4:3:5:10†

If the texture axis forms an angle " with the a axis and  ˆ " ‡ =2 with the projection of a on the plane ab, then Bhk ˆ f h…sin †=a ‡ k‰sin… 0 †Š=bg= sin ˆ f h‰cos… "†Š=a ‡ k cos "=bg= sin

…4:3:5:11† …4:3:5:12†

Dhk ˆ fh…cos †=a ‡ k‰cos… 0

…4:3:5:13†

ˆ fh‰sin…

Fig. 4.3.5.2. …a† Part of the OTED pattern of the clay mineral kaolinite and …b† the intensity profile of a characteristic quadruplet of reflections recorded with the electron diffractometry system. The scanning direction is indicated in …a†.

"†Š=a ‡ k sin "=bg= sin :

…4:3:5:14†

Fig. 4.3.5.3. The projections of the reciprocal axes on the plane ab of the direct lattice, with indications of the distances B and D of the hk rows from the fibre-texture axes a or ‰hkŠ:

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†Š=bg= sin

4. PRODUCTION AND PROPERTIES OF RADIATIONS The relation between the angles , ", and the direction ‰hkŠ of the texture axis is given by the expression cos  ˆ sin… ˆ ‰h=a 2

 ‰h a

"† k…cos †=bŠ 2

‡ k2 b

2

2hk…cos †=abŠ

1=2

:

…4:3:5:15†

The layer lines with constant h that coincide when " ˆ 0 are split when " 6ˆ 0 according to the sign of k, since then Dhk 6ˆ Dhk and Bhk and Bhkl defining the reflection positions along the layer line take other values. Such peculiarities have been observed by means of selected-area electron diffraction for tabular particles and linear crystal aggregates of some phyllosilicates in the simple case of ˆ =2 (Gritsaenko, Zvyagin, Boyarskaya, Gorshkov, Samotoin & Frolova, 1969). When fibres or linear aggregates are deposited on a film (for example, in specimens for high-resolution electron diffraction) with one direction parallel to a plane, they form a texture that is intermediate between lamellar and fibre. The points of the reciprocal lattice are subject to two rotations: around the fibre axis and around the normal to the plane. The first rotation results in circles, the second in spherical bands of different widths, depending on the position of the initial point relative to the texture axis and the zero plane normal to it. The diffraction patterns correspond to oblique plane sections of reciprocal space, and consist of arcs having intensity maxima near their ends; in some cases, the arcs close to form complete circles. In particular, when the particle elongation is in the a direction, the angular range of the arcs decreases with h and increases with k (Zvyagin, 1967). 4.3.5.4. Applications to metals and organic materials The above treatment, though general, had layer silicates primarily in view. Texture studies are particularly important for metal specimens that have been subjected to cold work or other treatments; the phenomena and their interpretation occupy several chapters of the book by Barrett & Massalski (1980). Similarly, Kakudo & Kasai (1972) devote much space to texture in polymer specimens, and Guinier (1956) gives a good treatment of the whole subject. The mathematical methods for describing and analysing textures of all types have been described by Bunge (1982; the German edition of 1969 was revised in many places and a few errors were corrected for the English translation). 4.3.6. Computation of dynamical wave amplitudes 4.3.6.1. The multislice method (By D. F. Lynch) The calculation of very large numbers of diffracted orders, i.e. more than 100 and often several thousand, requires the multislice procedure. This occurs because, for N diffracted orders, the multislice procedure involves the manipulation of arrays of size N, whereas the scattering matrix or the eigenvalue procedures involve manipulation of arrays of size N by N. The simplest form of the multislice procedure presumes that the specimen is a parallel-sided plate. The surface normal is usually taken to be the z axis and the crystal structure axes are often chosen or transformed such that the c axis is parallel to z and the a and b axes are in the xy plane. This can often lead to rather unconventional choices for the unit-cell parameters. The maximum tilt of the incident beam from the surface normal is restricted to be of the order of 0.1 rad. For the calculation of wave amplitudes for larger tilts, the structure must be reprojected down an axis close to the incident-beam direction.

For simple calculations, other crystal shapes are generally treated by the column approximation, that is the crystal is presumed to consist of columns parallel to the z axis, each column of different height and tilt in order to approximate the desired shape and variation of orientation. The numerical procedure involves calculation of the transmission function through a thin slice, calculation of the vacuum propagation between centres of neighbouring slices, followed by evaluation in a computer of the iterated equation un …h; k† ˆ pn fpn

. . . p3 ‰ p2 …p1 q1  q2 †  q3 Š  . . .  qn g …4:3:6:1†

in order to obtain the scattered wavefunction, un …h; k†, emitted from slice n, i.e. for crystal thickness H ˆ
z1 ‡
z2 ‡ . . . ‡
zn ; the symbol  indicates the operation `convolution' defined by f1 …x†  f2 …x† ˆ

R1 1

f1 …w† f2 …x

w† dw;

and pn ˆ exp

i2
zn …l=2†f‰h…h

h00 †=a2 Š ‡ ‰k…k

k00 †=b2 Šg




is the propagation function in the small-angle approximation between slice n 1 and slice n over the slice spacing
zn . For simplicity, the equation is given for orthogonal axes and h00 , k00 are the usually non-integral intercepts of the Laue circle on the reciprocal-space axes in units of …1=a†, …1=b†. The excitation errors, …h; k†, can be evaluated using …h; k† ˆ

…l=2†f‰h…h

h00 †=a2 Š ‡ ‰k…k

k00 †=b2 Šg:

…4:3:6:2†

The transmission function for slice n is qn …h; k† ˆ Ffexp‰i'n …x; y†
zn Šg;

…4:3:6:3†

where F denotes Fourier transformation from real to reciprocal space, and 'n …x; y†
zn ˆ p '…x; y† ˆ

zn

R

1 ‡
zn

zn

'…x; y; z† dz

1

and ˆ

 2 W l 1 ‡ …1 2 †1=2

and v ˆ ; c where W is the beam voltage, v is the relativistic velocity of the electron, c is the velocity of light, and l is the relativistic wavelength of the electron. The operation  in (4.3.6.1) is most effectively carried out for large N by the use of the convolution theorem of Fourier transformations. This efficiency presumes that there is available an efficient fast-Fourier-transform subroutine that is suitable for crystallographic computing, that is, that contains the usual crystallographic normalization factors and that can deal with a range of values for h, k that go from negative to positive. Then, un …h; k† ˆ FfF 1 ‰un 1 …h; k†ŠF 1 ‰qn …h; k†Šg; where F denotes

…4:3:6:4†

( " #) ny nx X 1 X hx ky U…x; y† exp 2i ; u…h; k† ˆ nx ny xˆ1 yˆ1 nx ny

and F

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157 s:\ITFC\CHAP-4-3.3d (Tables of Crystallography)

1

1

denotes

U…x; y† ˆ

nh X

nk X

hˆ nh kˆ nk

4.3. ELECTRON #) hx ky u…h; k† exp 2i ; ; nx ny (

"

where nh ˆ …nx =2† 1, nk ˆ …ny =2† 1, and nx ; ny are the sampling intervals in the unit cell. The array sizes used in the calculations of the Fourier transforms are commonly powers of 2 as is required by many fast Fourier subroutines. The array for un …h; k† is usually defined over the central portion of the reserved computer array space in order to avoid oscillation in the Fourier transforms (Gibbs instability). It is usual to carry out a 64  64 beam calculation in an array of 128  128, hence the critical timing interval in a multislice calculation is that interval taken by a fast Fourier transform for 4N coefficients. If the number of beams, N, is such that there is still appreciable intensity being scattered outside the calculation aperture, then it is usually necessary to impose a circular aperture on the calculation in order to prevent the symmetry of the calculation aperture imposing itself on the calculated wavefunction. This is most conveniently achieved by setting all p…h; k† coefficients outside the desired circular aperture to zero. It is clear that the iterative procedure of (4.3.6.1) means that care must be taken to avoid accumulation of error due to the precision of representation of numbers in the computer that is to be used. Practical experience indicates that a precision of nine significant figures (decimal) is more than adequate for most calculations. A precision of six to seven (decimal) figures (a common 32-bit floating-point representation) is only barely satisfactory. A computer that uses one of the common 64-bit representations (12 to 16 significant figures) is satisfactory even for the largest calculations currently contemplated. The choice of slice thickness depends upon the maximum value of the projected potential within a slice and upon the validity of separation of the calculation into transmission function and propagation function. The second criterion is not severe and in practice sets an upper limit to slice thickness of Ê . The first criterion depends upon the atomic number about 10 A of atoms in the trial structure. In practice, the slice thickness will be too large if two atoms of medium to heavy atomic weight …Z  30† are projected onto one another. It is not necessary to take slices less than one atomic diameter for calculations for fast electron (acceleration voltages greater than 50 keV) diffraction or microscopy. If the trial structure is such that the symmetry of the diffraction pattern is not strongly dependent upon the structure of the crystal parallel to the slice normal, then the slices may be all identical and there is no requirement to have a slice thickness related to the periodicity of the structure parallel to the surface normal. This is called the `no upper-layer-line' approximation. If the upper-layer lines are important, then the slice thickness will need to be a discrete fraction of the c axis, and the contents of each slice will need to reflect the actual atomic contents of each slice. Hence, if there were four slices per unit cell, then there would need to be four distinct q…h; k†, each taken in the appropriate order as the multislice operation proceeds in thickness. The multislice procedure has two checks that can be readily performed during a calculation. The first is applied to the transmission function, q…h; k†, and involves the evaluation of a unitarity test by calculation of PP q…h0 ; k0 †q …h ‡ h0 ; k ‡ k0 † ˆ …h; k† …4:3:6:5† h0

k0

for all h, k, where q denotes the complex conjugate of q, and …h; k† is the Kronecker delta function. The second test can be applied to any calculation for which no phenomenological

DIFFRACTION absorption potential has been used in the evaluation of the q…h; k†. In that case, the sum of intensities of all beams at the final thickness should be no less than 0.9, the incident intensity being taken as 1.0. A value of this sum that is less than 0.9 indicates that the number of beams, N, has been insufficient. In some rare cases, the sum can be greater than 1.0; this is usually an indication that the number of beams has been allowed to come very close to the array size used in the convolution procedure. This last result does not occur if the convolution is carried out directly rather than by use of fast-Fourier-transform methods. A more complete discussion of the multislice procedure can be obtained from Cowley (1975) and Goodman & Moodie (1974). These references are not exhaustive, but rather an indication of particularly useful articles for the novice in this subject. 4.3.6.2. The Bloch-wave method (By A. Howie) Bloch waves, familiar in solid-state valence-band theory, arise as the basic wave solutions for a periodic structure. They are thus always implicit and often explicit in dynamical diffraction calculations, whether applied in perfect crystals, in almost perfect crystals with slowly varying defect strain fields or in more general structures that (see Subsection 4.3.6.1) can always, for computations, be treated by periodic continuation. The SchroÈdinger wave equation in a periodic structure,   P 2 2 2 Ug exp…2ig
r† ˆ 0; …4:3:6:6† r ‡ 4  ‡ g

can be applied to high-energy, relativistic electron diffraction, taking  ˆ l 1 as the relativistically corrected electron wave number (see Subsection 4.3.1.4). The Fourier coefficients in the expression for the periodic potential are defined at reciprocallattice points g by the expression m exp… Mg † X fj ‰sin…g †=lŠ exp… 2ig
rj †; Ug ˆ U  g ˆ m0 

j …4:3:6:7† where fj is the Born scattering amplitude (see Subsection 4.3.1.2) of the jth atom at position rj in the unit cell of volume and Mg is the Debye±Waller factor. The simplest solution to (4.3.6.6) is a single Bloch wave, consisting of a linear combination of plane-wave beams coupled by Bragg reflection. P Ch exp‰2i…k ‡ h†
rŠ: …4:3:6:8† …r† ˆ b…k; r† ˆ h

In practice, only a limited number of terms N, corresponding to the most strongly excited Bragg beams, is included in (4.3.6.8). Substitution in (4.3.6.6) then yields N simultaneous equations for the wave amplitudes Cg : P ‰2 ‡ U0 …k ‡ g†2 ŠCg ‡ Ug0 Cg g0 ˆ 0: …4:3:6:9† g0 6ˆ0

Usually,  and the two tangential components kx and ky are fixed by matching to the incident wave at the crystal entrance surface. kz then emerges as a root of the determinant of coefficients appearing in (4.3.6.9). Numerical solution of (4.3.6.9) is considerably simplified (Hirsch, Howie, Nicholson, Pashley & Whelan, 1977) in cases of transmission high-energy electron diffraction where all the important reciprocal-lattice points lie in the zero-order Laue zone gz ˆ 0 and 2  jUg j. The equations then reduce to a

415

158 s:\ITFC\CHAP-4-3.3d (Tables of Crystallography)

4. PRODUCTION AND PROPERTIES OF RADIATIONS standard matrix eigenvalue problem (for which efficient subroutines are widely available): P Mgh Ch ˆ Cg ; …4:3:6:10† h

where Mgh ˆ Ug h =2 ‡ sg gh and sg ˆ ‰k2 …k ‡ g†2 Š=2 is the distance, measured in the z direction, of the reciprocal-lattice point g from the Ewald sphere. There will in general be N distinct eigenvalues ˆ kz z corresponding to N possible values kz… j† , j ˆ 1; 2;


N, each with its eigenfunction defined by N wave amplitudes C0… j† ; Cg… j† ; . . . ; Ch… j† . The waves are normalized and orthogonal so that P … j†  …l† P … j† …l† Cg Cg ˆ jl ; Cg Ch ˆ gh : …4:3:6:11†

and the behaviour of dispersion surfaces as a function of energy, yields accurate data on scattering amplitudes via the criticalvoltage effect (see Section 4.3.7). Static crystal defects induce elastic scattering transitions k… j† ! k…l† on sheets of the same dispersion surface. Transitions between points on dispersion surfaces of different energies occur because of thermal diffuse scattering, generation of electronic excitations or the emission of radiation by the fast electron. The Bloch-wave picture and the dispersion surface are central to any description of these phenomena. For further information and references, the reader may find it helpful to consult Section 5.2.10 of Volume B (IT B, 1996).

j

g

In simple transmission geometry, the complete solution for the total coherent wavefunction …r† is P P … j† exp‰ 2q… j† zŠ Cg… j† exp‰2i… ‡ g†
rŠ: …r† ˆ j

g

…4:3:6:12† Inelastic and thermal-diffuse-scattering processes cause anomalous absorption effects whereby the amplitude of each component Bloch wave decays with depth z in the crystal from its initial value … j† ˆ C0… j† . The decay constant is computed using an imaginary optical potential iU 0 …r† with Fourier coefficients iUg0 ˆ iU 0  g (for further details of these see Humphreys & Hirsch, 1968, and Subsection 4.3.1.5 and Section 4.3.2). m X … j† 0 … j† C Uh C g h : …4:3:6:13† q… j† ˆ 2 h z g;h g The Bloch-wave, matrix-diagonalization method has been extended to include reciprocal-lattice points in higher-order Laue zones (Jones, Rackham & Steeds, 1977) and, using pseudopotential scattering amplitudes, to the case of low-energy electrons (Pendry, 1974). The Bloch-wave picture may be compared with other variants of dynamical diffraction theory, which, like the multislice method (Subsection 4.3.6.1), for example, employ plane waves whose amplitudes vary with position in real space and are determined by numerical integration of first-order coupled differential equations. For cases with N < 50 beams in perfect crystals or in crystals containing localized defects such as stacking faults or small point-defect clusters, the Bloch-wave method offers many advantages, particularly in thicker crystals Ê For high-resolution image calculations in thin with t > 1000 A. crystals where the periodic continuation process may lead to several hundred diffracted beams, the multislice method is more efficient. For cases of defects with extended strain fields or crystals illuminated at oblique incidence, coupled plane-wave integrations along columns in real space (Howie & Basinski, 1968) can be the most efficient method. The general advantage of the Bloch-wave method, however, is the picture it affords of wave propagation and scattering in both perfect and imperfect crystals. For this purpose, solutions of equations (4.3.6.9) allow dispersion surfaces to be plotted in k space, covering with several sheets j all the wave points k… j† for a given energy E. Thickness fringes and other interference effects then arise because of interference between waves excited at different points k… j† . The average current flow at each point is normal to the dispersion surface and anomalous-absorption effects can be understood in terms of the distribution of Blochwave current within the unit cell. Detailed study of these effects,

4.3.7. Measurement of structure factors and determination of crystal thickness by electron diffraction (by J. Gjùnnes and J. W. Steeds) Current advances in quantitative electron diffraction are connected with improved experimental facilities, notably the combination of convergent-beam electron diffraction (CBED) with new detection systems. This is reflected in extended applications of electron diffraction intensities to problems in crystallography, ranging from valence-electron distributions in crystals with small unit cells to structure determination of biological molecules in membranes. The experimental procedures can be seen in relation to the two main principles for measurement of diffracted intensities from crystals: ± rocking curves, i.e. intensity profiles measured as function of deviation, sg , from the Bragg condition, and ± integrated intensities, which form the well known basis for X-ray and neutron diffraction determination of crystal structure. Integrated intensities are not easily defined in the most common type of electron-diffraction pattern, viz the selectedarea (SAD) spot pattern. This is due to the combination of dynamical scattering and the orientation and thickness variations usually present within the typically micrometre-size illuminated area. This combination leads to spot pattern intensities that are poorly defined averages over complicated scattering functions of many structure factors. Convergent-beam electron diffraction is a better alternative for intensity measurements, especially for inorganic structures with small-to-moderate unit cells. In CBED, a fine beam is focused within an area of a few hundred aÊngstroÈms, with a divergence of the order of a tenth of a degree. The diffraction pattern then appears in the form of discs, which are essentially two-dimensional rocking curves from a small illuminated area, within which thickness and orientation can be regarded as constant. These intensity distributions are obtained under well defined conditions and are well suited for comparison with theoretical calculations. The intensity can be recorded either photographically, or with other parallel recording systems, viz YAG screen/CCD camera (Krivanek, Mooney, Fan, Leber & Meyer, 1991) or image plates (Mori, Oikawa & Harada, 1990) ± or sequentially by a scanning system. The inelastic background can be removed by an energy filter (Krahl, PaÈtzold & Swoboda,1990; Krivanek, Gubbens, Dellby & Meyer, 1991). Detailed intensity profiles in one or two dimensions can then be measured with high precision for low-order reflections from simple structures. But there are limitations also with the CBED technique: the crystal should be fairly perfect within the illuminated area and the unit cell relatively small, so that overlap between discs can be avoided. The current development of electron diffraction is therefore characterized by a wide range of techniques, which extend from the traditional spot pattern to two-dimensional, filtered rocking curves, adapted to the

416

159 s:\ITFC\CHAP-4-3.3d (Tables of Crystallography)

4.3. ELECTRON DIFFRACTION structure problems under study and the specimens that are available. Spot-pattern intensities are best for thin samples of crystals with light atoms, especially organic and biological materials. Dorset and co-workers (Dorset, Jap, Ho & Glaeser, 1979; Dorset, 1991) have shown how conventional crystallographic techniques (`direct phasing') can be applied in ab initio structure determination of thin organic crystals from spot intensities in projections. Two main complications were treated by them: bending of the crystal and dynamical scattering. Thin crystals will frequently be bent; this will give some integration of the reflection, but may also produce a slight distortion of the structure, as pointed out by Cowley (1961), who proposed a correction formula. The thickness range for which a kinematical approach to intensities is valid was estimated theoretically by Dorset et al. (1979). For organic crystals, they quoted a few hundred aÊngstroÈms as a limit for kinematical scattering in dense projections at 100 kV. Radiation damage is a problem, but with low-dose and cryotechniques, electron-microscopy methods can be applied to many organic crystals, as shown by several recent investigations. Voigt-Martin, Yan, Gilmore, Shankland & Bricogne (1994) collected electron-diffraction intensities from a beam-sensitive Ê Fourier map by a direct method dione and constructed a 1.4 A based on maximum entropy. Large numbers of electrondiffraction intensities have been collected from biological molecules crystallized in membranes. The structure amplitudes can be combined with phases extracted from high-resolution micrographs, following Unwin & Henderson's (1975) early work. KuÈhlbrandt, Wang & Fujiyoshi (1994) collected about 18 000 amplitudes and 15 000 phases for a protein complex in an electron cryomicroscope operating at 4.2 K (Fujiyoshi et al., 1991). Using these data, they determined the structure from a Ê resolution. three-dimensional Fourier map calculated to 3.4 A The assumption of kinematical scattering in such studies has been investigated by Spargo (1994), who found the amplitudes to be kinematic within 4% but with somewhat larger deviations for phases. For inorganic structures, spot-pattern intensities are less useful because of the stronger dynamical interactions, especially in dense zones. Nevertheless, it may be possible to derive a structure and refine parameters from spot-pattern intensities. Andersson (1975) used experimental intensities from selected projections for comparison with dynamical calculations, including an empirical correction factor for orientation spread, in a structure determination of V14 O8 . Recently, Zou, Sukharev & HovmoÈller (1993) combined spot-pattern intensities read from film by the program ELD with image processing of highresolution micrographs for structure determination of a complex perovskite. A considerable improvement over the spot pattern has been obtained by the elegant double-precession technique devised by Vincent & Midgley (1994). They programmed scanning coils above and below the specimen in the electron microscope so as to achieve simultaneous precession of the focused incident beam and the diffraction pattern around the optical axis. The net effect is equivalent to a precession of the specimen with a stationary incident beam. Integrated intensities can be obtained from reflections out to a Bragg angle  equal to the precession angle ' for the zeroth Laue zone. In addition, reflections in the first and second Laue zones appear as broad concentric rings. Dynamical effects are reduced appreciably by this procedure, especially in the non-zero Laue zones. The experimental integrated intensities, Ig , must be multiplied with a geometrical factor analogous to the Lorentz factor in X-ray diffraction, viz

Ig ˆ IGexp sin ";

…g2

2nkh† ; 2kg

…4:3:7:1†

where nh is the reciprocal spacing between the zeroth and nth layers. The intensities can be used for structure determination by procedures taken over from X-ray crystallography, e.g. the conditional Patterson projections that are used by the Bristol group (Vincent, Bird & Steeds, 1984). The precession method may be seen as intermediate between the spot pattern and the CBED technique. Another intermediate approach was proposed by Goodman (1976) and used later by Olsen, Goodman & Whitfield (1985) in the structure determination of a series of selenides. CBED patterns from thin crystals were taken in dense zones; intensities were measured at corresponding points in the discs, e.g. at the zone-axis position. Structure parameters were determined by fitting the observed intensities to dynamical calculations. Higher precision and more direct comparisons with dynamical scattering calculations are achieved by measurements of intensity distributions within the CBED discs, i.e. one- or twodimensional rocking curves. An up-to-date review of these techniques is found in the recent book by Spence & Zuo (1992), where all aspects of the CBED technique, theory and applications are covered, including determination of lattice constants and strains, crystal symmetry, and fault vectors of defects. Refinement of structure factors in crystals with small unit cells are treated in detail. For determination of bond charges, the structure factors (Fourier potentials) should be determined to an accuracy of a few tenths of a percent; calculations must then be based on many-beam dynamical scattering theory, see Chapter 8.8. Removal of the inelastic background by an energy filter will improve the data considerably; analytical expressions for the inelastic background including multiple-scattering contributions may be an alternative (Marthinsen, Holmestad & Hùier, 1994). Early CBED applications to the determination of structure factors were based on features that can be related to dynamical effects in the two-beam case. Although insufficient for most accurate analyses, the two-beam expression for the intensity profile may be a useful guide. In its standard form,  q …Ug =k†2 2 sin t s2g ‡ …Ug =k†2 ; …4:3:7:2† Ig …s† ˆ s2g ‡ …Ug =k†2 where Ug and sg are Fourier potential and excitation error for the reflection g, k wave number and t thickness. The expression can be rewritten in terms of the eigenvalues …i; j† that correspond to the two Bloch-wave branches, i, j: Igi; j …sg † ˆ where

…Ug =k†2 … …i†

2

… j† †

sin2 ‰t… …i†

… j† †Š;

…4:3:7:3†

q i h

i; j ˆ 12 s2g  s2g ‡ …Ug =k†2 :

Note that the minimum separation between the branches i, j or the gap at the dispersion surface is … … j†

…i† †min ˆ Ug =k ˆ 1=g ;

…4:3:7:4†

where g is an extinction distance. The two-beam form is often found to be a good approximation to an intensity profile Ig (sg ) even when other beams are excited, provided an effective potential Ugeff , which corresponds to the gap at the dispersion surface, is substituted for Ug . This is suggested by many features in CBED and Kikuchi patterns and borne out by detailed calculations, see e.g. Hùier (1972). Approximate expressions for

417

160 s:\ITFC\CHAP-4-3.3d (Tables of Crystallography)

cos " ˆ

4. PRODUCTION AND PROPERTIES OF RADIATIONS Ugeff have been developed along different lines; the best known is the Bethe potential Ugeff ˆ Ug

X Ug h Uh : 2ksh h

…4:3:7:5†

Other perturbation approaches are based on scattering between Bloch waves, in analogy with the `interband scattering' introduced by Howie (1963) for diffuse scattering; the term `Bloch-wave hybridization' was introduced by Buxton (1976). Exact treatment of symmetrical few-beam cases is possible (see Fukuhara, 1966; Kogiso & Takahashi, 1977). The three-beam case (Kambe, 1957; Gjùnnes & Hùier 1971) is described in detail in the book by Spence & Zuo (1992). Many intensity features can be related to the structure of the dispersion surface, as represented by the function (kx ,ky ). The gap [equation (4.3.7.4)] is an important parameter, as in the four-beam symmetrical case in Fig. 4.3.7.1. Intensity measurements along one dimension can then be referred to three groups, according to the width of the gap, viz: small gap ± integrated intensity; large gap ± rocking curve, thickness fringes; zero gap ± critical effects. A small gap at the dispersion surface implies that the twobeam-like rocking curve above approaches a kinematical form and can be represented by an integrated intensity. Within a certain thickness range, this intensity may be proportional to 2 jU eff g j , with an angular width inversely proportional to gt. Several schemes have been proposed for measurement of relative integrated intensities for reflections in the outer, high-angle region, where the lines are narrow and can be easily separated from the background. Steeds (1984) proposed use of the HOLZ (high-order Laue-zone) lines, which appear in CBED patterns taken with the central disc at the zone-axis position. Along a ring that defines the first-order Laue zone (FOLZ), reflections appear

as segments that can be associated with scattering from strongly excited Bloch waves in the central ZOLZ part into the FOLZ reflections. Vincent, Bird & Steeds (1984) proposed an intensity expression Ig… j† / j"… j† g… j† j2 exp… 2t†

1

exp‰ 2…… j† †tŠ 2…… j† †

…4:3:7:6†

for integrated intensity for a line segment associated with scattering from (or into) the ZOLZ Bloch wave j. "… j† is here the excitation coefficient and … j† the matrix element for scattering between the Bloch wave j and the plane wave g. … j† and  are absorption coefficients for the Bloch wave and plane wave, respectively; t is the thickness. From measurements of a number of such FOLZ (or SOLZ) reflections, they were able to carry out ab initio structure determinations using so-called conditional Patterson projections and coordinate refinement. Tanaka & Tsuda (1990) have refined atomic positions from zone-axis HOLZ intensities. Ratios between HOLZ intensities have been used for determination of the Debye±Waller factor (Holmestad, Weickenmeier, Zuo, Spence & Horita, 1993). Another CBED approach to integrated intensities is due to Taftù & Metzger (1985). They measured a set of high-order reflections along a systematic row with a wide-aperture CBED tilted off symmetrical incidence. A number of high-order reflections are then simultaneously excited in a range where the reflections are narrow and do not overlap. Gjùnnes & Bùe (1994) and Ma, Rùmming, Lebech & Gjùnnes (1992) applied the technique to the refinement of coordinates and thermal parameters in high-Tc superconductors and intermetallic compounds. The validity and limitation of the kinematical approximation and dynamic potentials in this case has been discussed by Gjùnnes & Bùe (1994). Zero gap at the dispersion surface corresponds to zero effective Fourier potential or, to be more exact, an accidental degeneracy, (i) = ( j), in the Bloch-wave solution. This is the basis for the critical-voltage method first shown by Watanabe, Uyeda & Fukuhara (1969). From vanishing contrast of the Kikuchi line corresponding to a second-order reflection 2g, they determined a relation between the structure factors Ug and U2g . Gjùnnes & Hùier (1971) derived the condition for the accidental degeneracy in the general centrosymmetrical three-beam case 0,g,h, expressed in terms of the excitation errors sg;h and Fourier potentials Ug;h;g h , viz 2ksg ˆ

Ug …Uh2 Ug2 h †m ; Uh Ug h m0

2ksh ˆ

Uh …Ug2 Ug2 h †m ; Ug Ug h m0 …4:3:7:7†

where m and m0 are the relativistic and rest mass of the incident electron. Experimentally, this condition is obtained at a particular voltage and diffraction condition as vanishing line contrast of a Kikuchi or Kossel line ± or as a reversal of a contrast feature. The second-order critical-voltage effect is then obtained as a special case, e.g. by the mass ratio: …m=m0 †crit ˆ

Fig. 4.3.7.1. (a) Dispersion-surface section for the symmetric fourbeam case (0, g, g+h, m), k is a function of kx , referred to (b), where kx =ky =0 corresponds to the exact Bragg condition for all three reflections. The two gaps appear at sg ˆ …Uh Um †=k with widths …Ug  Ug‡h †=k.

…4:3:7:8†

Measurements have been carried out for a number of elements and alloy phases; see the review by Fox & Fisher (1988) and later work on alloys by Fox & Tabbernor (1991). Zone-axis critical voltages have been used by Matsuhata & Steeds (1987). For analytical expressions and experimental determination of non-systematic critical voltages, see Matsuhata & Gjùnnes (1994).

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U2h h2 : 2 Uh2 U2h

4.3. ELECTRON DIFFRACTION Large gaps at the dispersion surface are associated with strong inner reflections ± and a strong dynamical effect of two-beamlike character. The absolute magnitude of the gap ± or its inverse, the extinction distance ± can be obtained in different ways. Early measurements were based on the split of diffraction spots from a wedge, see Lehmpfuhl (1974), or the corresponding fringe periods measured in bright- and dark-field micrographs (Ando, Ichimiya & Uyeda, 1974). The most precise and applicable large-gap methods are based on the refinement of the fringe pattern in CBED discs from strong reflections, as developed by Goodman & Lehmpfuhl (1967) and Voss, Lehmpfuhl & Smith (1980). In recent years, this technique has been developed to high perfection by means of filtered CBED patterns, see Spence & Zuo (1992) and papers referred to therein. See also Chapter 8.8. The gap at the dispersion surface can also be obtained directly from the split observed at the crossing of a weak Kikuchi line with a strong band. Gjùnnes & Hùier (1971) showed how this can be used to determine strong low-order reflections. High voltage may improve the accuracy (Terasaki, Watanabe & Gjùnnes, 1979). The sensitivity of the intersecting Kikuchi-line (IKL) method was further increased by the use of CBED instead of Kikuchi patterns (Matsuhata, Tomokiyo, Watanabe & Eguchi, 1984; Taftù & Gjùnnes, 1985). In a recent development, Hùier, Bakken, Marthinsen & Holmestad (1993) have measured the intensity distribution in the CBED discs around such intersections and have refined the main structure factors involved. Two-dimensional rocking curves collected by CBED patterns around the axis of a dense zone are complicated by extensive many-beam dynamical interactions. The Bristol±Bath group (Saunders, Bird, Midgley & Vincent, 1994) claim that the strong dynamic effects can be exploited to yield high sensitivity in refinement of low-order structure factors. They have also developed procedures for ab initio structure determination based on zone-axis patterns (Bird & Saunders, 1992), see Chapter 8.8. Determination of phase invariants. It has been known for some time (e.g Kambe, 1957) that the dynamical three-beam case contains information about phase. As in the X-ray case, measurement of dynamical effects can be used to determine the value of triplets (Zuo, Hùier & Spence, 1989) and to determine phase angles to better than one tenth of a degree (Zuo, Spence, Downs & Mayer, 1993) which is far better than any X-ray method. Bird (1990) has pointed out that the phase of the absorption potential may differ from the phase of the real potential. Thickness is an important parameter in electron-diffraction experiments. In structure-factor determination based on CBED patterns, thickness is often included in the refinement. Thickness can also be determined directly from profiles connected with large gaps at the dispersion surface (Goodman & Lehmpfuhl, 1967; Blake, Jostsons, Kelly & Napier, 1978; Glazer, Ramesh, Hilton & Sarikaya, 1985). The method is based on the outer part of the fringe profile, which is not so sensitive to the structure factor. The intensity minimum of the ith fringe in the diffracted disc occurs at a position corresponding to the excitation error si and expressed as …s2i ‡ 1="2g †t2 ˆ n2i ;

method originally proposed by Ackermann (1948), where si2 is plotted against ni and the thickness is taken from the slope, is more accurate. In both cases, the outer part of the rocking curve is emphasized; exact knowledge of the gap is not necessary for a good determination of thickness, provided the assumption of a two-beam-like rocking curve is valid. 4.3.8. Crystal structure determination by high-resolution electron microscopy (By J. C. H. Spence and J. M. Cowley) 4.3.8.1. Introduction For the crystallographic study of real materials, highresolution electron microscopy (HREM) can provide a great deal of information that is complementary to that obtainable by X-ray and neutron diffraction methods. In contrast to the statistically averaged information that these other methods provide, the great power of HREM lies in its ability to elucidate the detailed atomic arrangements of individual defects and the microcrystalline structure in real crystals. The defects and inhomogeneities of real crystals frequently exert a controlling influence on phase-transition mechanisms and more generally on all the electrical, mechanical, and thermal properties of solids. The real-space images that HREM provides (such as that shown in Fig. 4.3.8.1) can give an immediate and dramatic impression of chemical crystallography processes, unobtainable by other methods. Their atomic structure is of the utmost importance for

…4:3:7:9†

where ni is a small integer describing the order of the minimum. This equation can be arranged in two ways for graphic determination of thickness. The commonest method appears to be to plot (si =ni )2 against 1=ni 2 and then determine the thickness from the intersection with the ordinate axis (Kelly, Jostsons, Blake & Napier, 1975). Glazer et al. (1985) claim that the

Fig. 4.3.8.1. Atomic resolution image of a tantalum-doped tungsten trioxide crystal (pseudo-cubic structure) showing extended crystallographic shear-plane defects (C), pentagonal-column hexagonaltunnel (PCHT) defects (T), and metallization of the surface due to Ê, oxygen desorption (JEOL 4000EX, crystal thickness less than 200 A 400 kV, Cs ˆ 1 mm). Atomic columns are black. [Smith, Bursill & Wood (1985).]

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4. PRODUCTION AND PROPERTIES OF RADIATIONS an understanding of the properties of real materials. The HREM method has proven powerful for the determination of the structure of such defects and of the submicrometre-sized microcrystals that constitute many polyphase materials. In summary, HREM should be considered the technique of choice where a knowledge of microcrystal size, shape or morphology is required. In addition, it can be used to reveal the presence of line and planar defects, inclusions, grain boundaries and phase boundaries, and, in favourable cases, to determine atomic structure. Surface atomic structure and reconstruction have also been studied by HREM. However, meaningful results in this field require accurately controlled ultra-high-vacuum conditions. The determination of the atomic structure of point defects by HREM so far has proven extremely difficult, but this situation is likely to change in the near future. The following sections are not intended to review the applications of HREM, but rather to provide a summary of the main theoretical results of proven usefulness in the field, a selected bibliography, and recommendations for good experimental practice. At the time of writing (1997), the point Ê. resolution of HREM machines lies between 1 and 2 A The function of the objective lens in an electron microscope is to perform a Fourier synthesis of the Bragg-diffracted electron beams scattered (in transmission) by a thin crystal, in order to produce a real-space electron image in the plane r. This electron image intensity can be written R 2 j …r†j2 ˆ …u† expf2iu
rgP…u† expfi…u†g du ; …4:3:8:1† where …u† represents the complex amplitude of the diffracted wave after diffraction in the crystal as a function of the reciprocal-lattice vector u [magnitude …2 sin †=lŠ in the plane perpendicular to the beam, so that the wavevector of an incident plane wave is written K0 ˆ kz ‡ 2u. Following the convention of Section 2.5.1 in IT B (1992), we write jK0 j ˆ 2l 1 . The function …u† is the phase factor for the objective-lens transfer function and P…u† describes the effect of the objective aperture:  1 for juj < u0 P…u† ˆ 0 for juj  u0 :

Image formation in the transmission electron microscope is conventionally treated by analogy with the Abbe theory of coherent optical imaging. The overall process is subdivided as follows. …a† The problem of beam±specimen interaction for a collimated kilovolt electron beam traversing a thin parallel-sided slab of crystal in a given orientation. The solution to this problem gives the elastically scattered dynamical electron wavefunction …r†, where r is a two-dimensional vector lying in the downstream surface of the slab. Computer algorithms for dynamical scattering are described in Section 4.3.6. …b† The effects of the objective lens are incorporated by multiplying the Fourier transform of …r† by a function T …u†, which describes both the wavefront aberration of the lens and the diffractionlimiting effects of any apertures. The dominant aberrations are spherical aberration, astigmatism, and defect of focus. The image intensity is then formed from the modulus squared of the Fourier transform of this product. …c† All partial coherence effects may be incorporated by repeating this procedure for each of the component energies and directions that make up the illumination from an extended electron source, and summing the resulting intensities. Because this procedure requires a separate dynamical calculation for each component direction of the incident beam, a number of useful approximations of restricted validity have been developed; these are described in Subsection 4.3.8.4. This treatment of partial coherence assumes that a perfectly incoherent effective source can be identified. For fieldemission HREM instruments, a coherent sum (over directions) of complex image wavefunctions may be required. General treatments of the subject of HREM can be found in the texts by Cowley (1981) and Spence (1988). The sign

For a periodic object, the image wavefunction is given by summing the contributions from the set of reciprocal-lattice points, g, so that 2 P 2 …4:3:8:2† j …r†j ˆ g expf2ig
rgP…g† expfi…g†g : g

Ê 1 , it is apparent that, for all For atomic resolution, with u0  1A but the simplest structures and smallest unit cells, this synthesis will involve many hundreds of Bragg beams. A scattering calculation must involve an even larger number of beams than those that contribute resolvable detail to the image, since, as described in Section 2.5.1 in IT B (1992), all beams interact strongly through multiple coherent scattering. The theoretical basis for HREM image interpretation is therefore the dynamical theory of electron diffraction in the transmission (or Laue) geometry [see Chapter 5.2 in IT B (1992)]. The resolution of HREM images is limited by the aberrations of the objective electron lens (notably spherical aberration) and by electronic instabilities. An intuitive understanding of the complicated effect of these factors on image formation from multiply scattered Bragg beams is generally not possible. To provide a basis for understanding, therefore, the following section treats the simplified case of few-beam `lattice-fringe' images, in order to expose the relationship between the crystal potential, its structure factors, electron-lens aberrations, and the electron image.

Fig. 4.3.8.2. Imaging conditions for few-beam lattice images. For three-beam axial imaging shown in …c†, the formation of half-period fringes is also shown.

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4.3. ELECTRON DIFFRACTION conventions used throughout the following are consistent with the standard crystallographic convention of Section 2.5.1 of IT B (1992), which assumes a plane wave of form expf i…k
r !t†g and so is consistent with X-ray usage. 4.3.8.2. Lattice-fringe images We consider few-beam lattice images, in order to understand the effects of instrumental factors on electron images, and to expose the conditions under which they faithfully represent the scattering object. The case of two-beam lattice images is instructive and contains, in simplified form, most of the features seen in more complicated many-beam images. These fringes were first observed by Menter (1956) and further studied in the pioneering work of Komoda (1964) and others [see Spence (1988) for references to early work]. The electron-microscope optic-axis orientation, the electron beam, and the crystal setting are indicated in Fig. 4.3.8.2. If an objective aperture is used that excludes all but the two beams shown from contributing to the image, equation (4.3.8.2) gives the image intensity along direction g for a centrosymmetric crystal of thickness t as I…x; t† ˆ j 0 …t†j2 ‡ j g …t†j2 ‡ 2j 0 jj g j cosf2x=dg ‡ …ug †g …t†

0 …t†g: …4:3:8:3†

The Bragg-diffracted beams have complex amplitudes g …t† ˆ j g …t†j expfig …t†g. The lattice-plane period is dg in direction g [Miller indices …hkl†]. The lens-aberration phase function, including only the effects of defocus
f and spherical aberration (coefficient Cs ), is given by …ug † ˆ …2=l†f…
f l2 u2g =2† ‡ Cs l4 u4g =4g:

2 1=2

 sin‰t…1 ‡ w † g …t† ˆ i…1 ‡ w2 †

1=2

1=2

 cos‰… ug

sin‰t…1 ‡ w2 †1=2 =g Š …4:3:8:5†

where g is the two-beam extinction distance, Vg ˆ =…g † is a Fourier coefficient of crystal potential, sg is the excitation error (see Fig. 4.3.8.2), w ˆ sg g , and the interaction parameter  is defined in Section 2.5.1 of IT B (1992). The two-beam image intensity given by equation (4.3.8.3) therefore depends on the parameters of crystal thickness …t†, orientation …sg †, structure factor …Vg †, objective-lens defocus
f , and spherical-aberration constant Cs . We consider first the variation of lattice fringes with crystal thickness in the two-beam approximation (Cowley, 1959; Hashimoto, Mannami & Naiki, 1961). At the exact Bragg condition …sg ˆ 0†, equations (4.3.8.5) and (4.3.8.3) give sin…2t=g † sin ‰2x=d ‡ …ug †Š:

…4:3:8:6†

If we consider a wedge-shaped crystal with the electron beam approximately normal to the wedge surface and edge, and take x and g parallel to the edge, this equation shows that sinusoidal lattice fringes are expected whose contrast falls to zero (and

…u0 † ‡ 2x=d ‡ g …t†

0 …t†Š:

For a uniformly intense line source subtending a semiangle c , the total lattice-fringe intensity is R I…x† ˆ …1=c † I…x; † d: The resulting fringe visibility C ˆ …Imax Imin †=…Imax ‡ Imin † is proportional to C ˆ …sin †= , where ˆ 2
f c =d. The contrast falls to zero for ˆ , so that the range of focus over which fringes are expected is
z ˆ d=c . This is the approximate depth of field for lattice images due to the effects of the finite source size alone. The case of three-beam fringes in the axial orientation is of more practical importance [see Fig. 4.3.8.2…b†]. The image intensity for g ˆ g and sg ˆ s g is I…x; t† ˆ j 0 j2 ‡ 2j g j2 ‡ 2j g j2 cos…4x=d† ‡ 4j 0 jj g j cos…2x=d†  cos‰…ug † ‡ g …t†

0 …t†Š:

…4:3:8:7†

The lattice image is seen to consist of a constant background plus cosine fringes with the lattice spacing, together with cosine fringes of half this spacing. The contribution of the half-spacing fringes is independent of instrumental parameters (and therefore of electronic instabilities if c ˆ 0). These fringes constitute an important HREM image artifact. For kinematic scattering, g …t† 0 …t† ˆ =2 and only the half-period fringes will then be seen if …ug † ˆ n, or for focus settings Cs l2 u2g =2:

…4:3:8:8†

Fig. 4.3.8.2…c† indicates the form of the fringes expected for two focus settings with differing half-period contributions. As in the case of two-beam fringes, dynamical scattering may cause 0 to be severely attenuated at certain thicknesses, resulting also in a strong half-period contribution to the image. Changes of 2 in …ug † in equation (4.3.8.7) leave I…x; t† unchanged. Thus, changes of defocus by amounts
ff ˆ 2n=…lu2g †

…4:3:8:9†


Cs ˆ 4n=…l3 u4g †

…4:3:8:10†

or changes in Cs by yield identical images. The images are thus periodic in both
f and Cs . This is a restricted example of the more general phenomenon of n-beam Fourier imaging discussed in Subsection 4.3.8.3. We note that only a single Fourier period will be seen if
ff is less than the depth of field
z. This leads to the approximate condition c > l=d, which, when combined with the Bragg law, indicates that a single period only of images will be seen when adjacent diffraction discs just overlap.

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u0 †


f ˆ nl 1 ug 2

=g Šg exp… isg t†

 exp… isg t†;

I…x; t† ˆ 1

I…x; † ˆ j 0 j2 ‡ j g j2 ‡ 2j g jj 0 j

…4:3:8:4†

The effects of astigmatism and higher-order aberrations have been ignored. The defocus,
f , is negative for the objective lens weakened (i.e. the focal length increased, giving a bright first Fresnel-edge fringe). The magnitude of the reciprocal-lattice vector ug ˆ dg 1 ˆ …2 sin B †=l, where B is the Bragg angle. If these two Bragg beams were the only beams excited in the crystal (a poor approximation for quantitative work), their amplitudes would be given by the `two-beam' dynamical theory of electron diffraction as 0 …t† ˆ fcos‰t…1 ‡ w2 †1=2 =g Š ‡ iw…1 ‡ w2 †

reverses sign) at thicknesses of tn ˆ ng =2. This apparent abrupt translation of fringes (by d=2 in the direction x) at particular thicknesses is also seen in some experimental many-beam images. The effect of changes in focus (due perhaps to variations in lens current) is seen to result in a translation of the fringes (in direction x), while time-dependent variations in the accelerating voltage have a similar effect. Hence, time-dependent variations of the lens focal length or the accelerating voltage result in reduced image contrast (see below). If the illumination makes a small angle  ˆ lu0 with the optic axis, the intensity becomes

4. PRODUCTION AND PROPERTIES OF RADIATIONS The axial three-beam fringes will coincide with the lattice planes, and show atom positions as dark if …ug † ˆ …2n 1=2† and 0 …t† g …t† ˆ =2. This total phase shift of  between 0 and the scattered beams is the desirable imaging condition for phase contrast, giving rise to dark atom positions on a bright background. This requires Cs ˆ …4n

1†=…l3 u4g †

2
f =…l2 u2g †

as a condition for identical axial three-beam lattice images for n ˆ 0; 1; 2; . . .. This family of lines has been plotted in Fig. 4.3.8.3 for the (111) planes of silicon. Dashed lines denote the locus of `white-atom' images (reversed contrast fringes), while the dotted lines indicate half-period images. In practice, the depth of field is limited by the finite illumination aperture c , and few-beam lattice-image contrast will be a maximum at the stationary-phase focus setting, given by
f0 ˆ

Cs l2 u2g :

…4:3:8:11†

This choice of focus ensures r…u† ˆ 0 for u ˆ ug , and thus ensures the most favourable trade-off between increasing c and loss of fringe contrast for lattice planes g. Note that
f0 is not equal to the Scherzer focus
fs (see below). This focus setting is

also indicated on Fig. 4.3.8.3, and indicates the instrumental conditions which produce the most intense (111) three- (or five-) beam axial fringes in silicon. For three-beam axial fringes of spacing d, it can be shown that the depth of field
z is approximately
z ˆ …ln 2†1=2 d=c :

…4:3:8:12†

This depth of field, within which strong fringes will be seen, is indicated as a boundary on Fig. 4.3.8.3. Thus, the finer the image detail, the smaller is the focal range over which it may be observed, for a given illumination aperture c . Fig. 4.3.8.4 shows an exact dynamical calculation for the contrast of three-beam axial fringes as a function of
f in the neighbourhood of
f0 . Both reversed contrast and half-period fringes are noted. The effects of electronic instabilities on lattice images are discussed in Subsection 4.3.8.3. It is assumed above that c is sufficiently small to allow the neglect of any changes in diffraction conditions (Ewald-sphere orientation) within c . Under a similar approximation but without the approximations of transfer theory, Desseaux, Renault & Bourret (1977) have analysed the effect of beam divergence on two-dimensional fivebeam axial lattice fringes. When two-dimensional patterns of fringes are considered, the Fourier imaging conditions become more complex (see Subsection 4.3.8.3), but half-period fringe systems and reversedcontrast images are still seen. For example, in a cubic projection, a focus change of
ff =2 results in an image shifted by half a unit cell along the cell diagonal. It is readily shown that exp‰i…
f †Š ˆ exp‰i…
f ‡
ff †Š if
ff ˆ 2na2 =l ‡ 2mb2 =l when n, m are integers and a and b are the two dimensions of any orthogonal unit cell that can be chosen for p …x; y†. Thus, changes in focus by
ff …n; m† produce identical images in crystals for which such a cell can be chosen, regardless of the number of beams contributing (Cowley & Moodie, 1960). For closed-form expressions for the few-beam (up to 10 beams) two-dimensional dynamical Bragg-beam amplitudes g in orientations of high symmetry, the reader is referred to the work of Fukuhara (1966).

Fig. 4.3.8.3. A summary of three- (or five-) beam axial imaging conditions. Here,
ff is the Fourier image period,
f0 the stationaryphase focus, Cs …0† the image period in Cs , and a scattering phase of =2 is assumed. The lines are drawn for the (111) planes of silicon at 100 kV with c ˆ 1:4 mrad.

Fig. 4.3.8.4. The contrast of few-beam lattice images as a function of focus in the neighbourhood of the stationary-phase focus [see Olsen & Spence (1981)].

4.3.8.3. Crystal structure images We define a crystal structure image as a high-resolution electron micrograph that faithfully represents a projection of a crystal structure to some limited resolution, and which was obtained using instrumental conditions that are independent of the structure, and so require no a priori knowledge of the structure. The resolution of these images is discussed in Subsection 4.3.8.6, and their variation with instrumental parameters in Subsection 4.3.8.4. Equation (4.3.8.2) must now be modified to take account of the finite electron source size used and of the effects of the range of energies present in the electron beam. For a perfect crystal we may write, as in equation (2.5.1.36) in IT B (1992), RR j …u0 ;
f ; r†j2 G…u0 † B…
f ; u0 † du0 d
f …4:3:8:13a† IT …r† ˆ for the total image intensity due to an electron source whose normalized distribution of wavevectors is G…u0 †, where u0 has components u1 ; v1 , and which extends over a range of energies corresponding to the distribution of focus B…
f ; u†. If  is also assumed to vary linearly across c and changes in the diffraction conditions over this range are assumed to make only negligible changes in the diffracted-beam amplitude g , the expression for a Fourier coefficient of the total image intensity IT …r† becomes

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Ig ˆ

P

4.3. ELECTRON DIFFRACTION h expf i…h†g fr…h†

r…h

g†g

jh

gj2 †2 g;

3=4 dp ˆ 0:66 C 1=4 : s l

h



 h g

expfi…h

g†g f12 …h2

…4:3:8:13b†

where …h† and …g† are the Fourier transforms of G…u0 † and B…
f ; u0 †, respectively. For the imaging of very thin crystals, and particularly for the case of defects in crystals, which are frequently the objects of particular interest, we give here some useful approximations for HREM structure images in terms of the continuous projected crystal potential Rt '…x; y† ˆ …1=t† '…x; y; z† dz; 0

where the projection is taken in the electron-beam direction. A brief summary of the use of these approximations is included in Section 2.5.1 of IT B (1992) and computing methods are discussed in Subsection 4.3.8.5 and Section 4.3.4. The projected-charge-density (PCD) approximation (Cowley & Moodie, 1960) gives the HREM image intensity (for the simplified case where Cs ˆ 0) as I…x; y† ˆ 1 ‡ …
f l=2"0 "†p …x; y†;

I…x; y† ˆ 1 ‡ 2'p …x; y†  Ffsin …u; v†P…u; v†g ˆ 1 ‡ 2'p …x; y†  S…x; y†;

…4:3:8:14†

where F denotes Fourier transform,  denotes convolution, and u and v are orthogonal components of the two-dimensional scattering vector u. The function S…x; y† is sharply peaked and negative at the `Scherzer focus'
f ˆ
fs ˆ 1:2…Cs l†

1=2

…4:3:8:15a†

and the optimum objective aperture size 0 ˆ 1:5…l=Cs †1=4 :

The occurrence of appreciable multiple scattering, and therefore of the failure of the WPO approximation, depends on specimen thickness, orientation, and accelerating voltage. Detailed comparisons between accurate multiple-scattering calculations, the PCD approximation, and the WPO approximation can be found in Lynch, Moodie & O'Keefe (1975) and Jap & Glaeser (1978). As a very rough guide, equation (4.3.8.14) can be expected to fail for light elements at 100 keV and thicknesses greater than about 5.0 nm. Multiple-scattering effects have been predicted within single atoms of gold at 100 keV. The WPO approximation may be extended to include the effects of an extended source (partial spatial coherence) and a range of incident electron-beam energies (temporal coherence). General methods for incorporating these effects in the presence of multiple scattering are described in Subsection 4.3.8.5. Under the approximations of linear imaging outlined below, it can be shown (Wade & Frank, 1977; Fejes, 1977) that sin …u; v†P…u; v† in equation (4.3.8.14) may be replaced by A0 …u† ˆ P…u† exp‰i…u†Š exp… 2
2 l2 u4 =2† …r=2† ˆ P…u† exp‰i…u†Š exp…i2
2 l2 u4 =2† exp… 2 u20 q†

…4:3:8:13c†

where p …x; y† is the projected charge density for the specimen (including the nuclear contribution) and is related to 'p …x; y† through Poisson's equation. Here, "0 " is the specimen dielectric constant. This approximation, unlike the weak-phase-object approximation (WPO), includes multiple scattering to all orders of the Born series, within the approximation that the component of the scattering vector is zero in the beam direction (a `flat' Ewald sphere). Contrast is found to be proportional to defocus and to p …x; y†. The failure conditions of this approximation are discussed by Lynch, Moodie & O'Keefe (1975); briefly, it fails for …u0 † > =2 (and hence if Cs ,
f or u0 becomes large) or for large thicknesses t …t < 7 nm is suggested for specimens of Ê medium atomic weight and l ˆ 0:037 A†. The PCD result becomes increasingly accurate with increasing accelerating voltage for small Cs . The WPO approximation has been used extensively in combination with the Scherzer-focus condition (Scherzer, 1949) for the interpretation of structure images (Cowley & Iijima, 1972). This approximation neglects multiple scattering of the beam electron and thereby allows the application of the methods of linear transfer theory from optics. The image intensity is then given, for plane-wave illumination, by

…4:3:8:15b†

It forms the impulse response of an electron microscope for phase contrast. Contrast is found to be proportional to 'p and to the interaction parameter , which increases very slowly with accelerating voltage above about 500 keV. The point resolution [see Subsection 2.5.1.9 of IT B (1992) and Subsection 4.3.8.6] is conventionally defined from equation (4.3.8.15b) as l=0 , or

…4:3:8:17† if astigmatism is absent. Here, u ˆ ui ‡ vj and juj ˆ 2=l ˆ …u2 ‡ v2 †1=2 . In addition, …u0 † is the Fourier transform of the source intensity distribution (assumed Gaussian), so that …r=2† is small in regions where the slope of …u0 † is large, resulting in severe attenuation of these spatial frequencies. If the illuminating beam divergence c is chosen as the angular half width for which the distribution of source intensity falls to half its maximum value, then c ˆ lu0 …ln 2†1=2 :

…4:3:8:18†

The quantity q is defined by q ˆ …Cs l3 u3 ‡
f lu†2 ‡ T 2; where T 2 expresses a coupling between the effects of partial spatial coherence and temporal coherence. This term can frequently be neglected under HREM conditions [see Wade & Frank (1977) for details]. The damping envelope due to chromatic effects is described by the parameter 
ˆ Cc Q ˆ Cc ‰ 2 …V0 †Š=V 20 ‡ ‰4 2 …I0 †Š=I 20 1=2 ‡‰ 2 …E0 †Š=E 20 ; …4:3:8:19† where  2 …V0 † and  2 …I0 † are the variances in the statistically independent fluctuations of accelerating voltage V0 and objective-lens current I0 . The r.m.s. value of the high voltage fluctuation is equal to the standard deviation …V0 † ˆ ‰ 2 …V0 †Š1=2 . The full width at half-maximum height of the energy distribution of electrons leaving the filament is
E ˆ 2…2 ln 2†1=2 …E0 † ˆ 2:355‰ 2 …E0 †Š1=2 :

…4:3:8:20†

Here, Cc is the chromatic aberration constant of the objective lens. Equations (4.3.8.14) and (4.3.8.17) indicate that under linear imaging conditions the transfer function for HREM contains a chromatic damping envelope more severely attenuating than a Gaussian of width U0 …
† ˆ ‰2=l
Š1=2 ; which is present in the absence of any objective aperture P…u†. The resulting resolution limit

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…4:3:8:16†

4. PRODUCTION AND PROPERTIES OF RADIATIONS di ˆ ‰l
=2Š1=2

…4:3:8:21†

is known as the information resolution limit (see Subsection 4.3.8.6) and depends on electronic instabilities and the thermalenergy spread of electrons leaving the filament. The reduction in the contribution of particular diffracted beams to the image due to limited spatial coherence is minimized over those extended regions for which r…u† is small, called passbands, which occur when
fn ˆ ‰Cs l…8n ‡ 3†=2Š1=2 :

…4:3:8:22†

The Scherzer focus
fs corresponds to n ˆ 0. These passbands become narrower and move to higher u values with increasing n, but are subject also to chromatic damping effects. The passbands occur between spatial frequencies U1 and U2 , where U1;2 ˆ Cs

1=4

l

3=4

f‰…8n ‡ 2†=2Š1=2  1g1=2 :

…4:3:8:23†

Their use for extracting information beyond the point resolution of an electron microscope is further discussed in Subsection 4.3.8.6. Fig. 4.3.8.5 shows transfer functions for a modern instrument for n ˆ 0 and 1. Equations (4.3.8.14) and (4.3.8.17) provide a simple, useful, and popular approach to the interpretation of HREM images and valuable insights into resolution-limiting factors. However, it must be emphasized that these results apply only (amongst other conditions) for 0  g (in crystals) and therefore do not apply to the usual case of strong multiple electron scattering. Equation (4.3.8.13b) does not make this approximation. In real space, for crystals, the alignment of columns of atoms in the beam direction rapidly leads to phase

Fig. 4.3.8.5. …a† The transfer function for a 400 kV electron microscope Ê at the Scherzer focus; the curve is with a point resolution of 1.7 A based on equation (4.3.8.17). In …b† is shown a transfer function for similar conditions at the first `passband' focus [n ˆ 1 in equation (4.3.8.22)].

changes in the electron wavefunction that exceed =2, leading to the failure of equation (4.3.8.14). Accurate quantitative comparisons of experimental and simulated HREM images must be based on equation (4.3.8.13a), or possibly (4.3.8.13b), with …u0 ;
f ; r† obtained from many-beam dynamical calculations of the type described in Subsection 4.3.8.5. For the structure imaging of specific types of defects and materials, the following references are relevant. (i) For line defects viewed parallel to the line, d'Anterroches & Bourret (1984); viewed normal to the line, Alexander, Spence, Shindo, Gottschalk & Long (1986). (ii) For problems of variable lattice spacing (e.g. spinodal decomposition), Cockayne & Gronsky (1981). (iii) For point defects and their ordering, in tunnel structures, Yagi & Cowley (1978); in semiconductors, Zakharov, Pasemann & Rozhanski (1982); in metals, Fields & Cowley (1978). (iv) For interfaces, see the proceedings reported in Ultramicroscopy (1992), Vol. 40, No. 3. (v) For metals, Lovey, Coene, Van Dyck, Van Tendeloo, Van Landuyt & Amelinckx (1984). (vi) For organic crystals, Kobayashi, Fujiyoshi & Uyeda (1982). (vii) For a general review of applications in solid-state chemistry, see the collection of papers reported in Ultramicroscopy (1985), Vol. 18, Nos. 1±4. (viii) Radiation-damage effects are observed at atomic resolution by Horiuchi (1982).

4.3.8.4. Parameters affecting HREM images The instrumental parameters that affect HREM images include accelerating voltage, astigmatism, optic-axis alignment, focus setting
f , spherical-aberration constant Cs , beam divergence c , and chromatic aberration constant Cc . Crystal parameters influencing HREM images include thickness, absorption, ionicity, and the alignment of the crystal zone axis with the beam, in addition to the structure factors and atom positions of the sample. The accurate measurement of electron wavelength or accelerating voltage has been discussed by many workers, including Uyeda, Hoier and others [see Fitzgerald & Johnson (1984) for references]. The measurement of Kikuchiline spacings from crystals of known structure appears to be the most accurate and convenient method for HREM work, and allows an overall accuracy of better than 0.2% in accelerating voltage. Fluctuations in accelerating voltage contribute to the chromatic damping term
in equation (4.3.8.19) through the variance  2 …V0 †. With the trend toward the use of higher accelerating voltages for HREM work, this term has become especially significant for the consideration of the information resolution limit [equation (4.3.8.21)]. Techniques for the accurate measurement of astigmatism and chromatic aberration are described by Spence (1988). The displacement of images of small crystals with beam tilt may be used to measure Cs ; alternatively, the curvature of higher-order Laue-zone lines in CBED patterns has been used. The method of Budinger & Glaeser (1976) uses a similar dark-field imagedisplacement method to provide values for both
f and Cs , and appears to be the most convenient and accurate for HREM work. The analysis of optical diffractograms initiated by Thon and coworkers from HREM images of thin amorphous films provides an invaluable diagnostic aid for HREM work; however, the determination of Cs by this method is prone to large errors, especially at small defocus. Diffractograms provide a rapid method for the determination of focus setting (see Krivanek, 1976) and in addition provide a sensitive indicator of specimen movement, astigmatism, and the damping-envelope constants
and c .

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4.3. ELECTRON DIFFRACTION Misalignment of the electron beam, optic axis, and crystal axis in bright-field HREM work becomes increasingly important with increasing resolution and specimen thickness. The first-order effects of optical misalignment are an artifactual translation of spatial frequencies in the direction of misalignment by an amount proportional to the misalignment and to the square of spatial frequency. The corresponding phase shift is not observable in diffractograms. The effects of astigmatism on transfer functions for inclined illumination are discussed in Saxton (1978). The effects of misalignment of the beam with respect to the optic axis are discussed in detail by Smith, Saxton, O'Keefe, Wood & Stobbs (1983), where it is found that all symmetry elements (except a mirror plane along the tilt direction) may be destroyed by misalignment. The maximum allowable misalignment for a given resolution  in a specimen of thickness t is proportional to  ˆ =8t:

…4:3:8:24†

Misalignment of a crystalline specimen with respect to the beam may be distinguished from misalignment of the optic axis with respect to the beam by the fact that, in very thin crystals, the former does not destroy centres of symmetry in the image. The use of known defect point-group symmetry (for example in stacking faults) to identify a point in a HREM image with a point in the structure and so to resolve the black or white atomic contrast ambiguity has been described (Olsen & Spence, 1981). Structures containing screw or glide elements normal to the beam are particularly sensitive to misalignment, and errors as small as 0.2 mrad may substantially alter the image appearance. A rapid comparison of images of amorphous material with the beam electronically tilted into several directions appears to be the best current method of aligning the beam with the optic axis, while switching to convergent-beam mode appears to be the most effective method of aligning the beam with the crystal axis. However, there is evidence that the angle of incidence of the incident beam is altered by this switching procedure. The effects of misalignment and choice of beam divergence c on HREM images of crystals containing dynamically forbidden reflections are reviewed by Nagakura, Nakamura & Suzuki (1982) and Smith, Bursill & Wood (1985). Here the dramatic example of rutile in the [001] orientation is used to demonstrate how a misalignment of less than 0.2 mrad of the electron beam with respect to the crystal axis can bring up a coarse set of Ê ), which produce an image of incorrect symmetry, fringes (4.6 A since these correspond to structure factors that are forbidden both dynamically and kinematically. Crystal thickness is most accurately determined from images of planar faults in known orientations, or from crystal morphology for small particles. It must otherwise be treated as a refinement parameter. Since small crystals (such as MgO smoke particles, which form as perfect cubes) provide such an independent method of thickness determination, they provide the most convincing test of dynamical imaging theory. The ability to match the contrast reversals and other detailed changes in HREM images as a function of either thickness or focus (or both) where these parameters have been measured by an independent method gives the greatest confidence in image interpretation. This approach, which has been applied in rather few cases [see, for example, O'Keefe, Spence, Hutchinson & Waddington (1985)] is strongly recommended. The tendency for n-beam dynamical HREM images to repeat with increasing thickness in cases where the wavefunction is dominated by just two Bloch waves has been analysed by several workers (Kambe, 1982). Since electron scattering factors are proportional to the difference between atomic number and X-ray scattering factors,

and inversely proportional to the square of the scattering angle (see Section 4.3.1), it has been known for many years that the low-order reflections that contribute to HREM images are extremely sensitive to the distribution of bonding electrons and so to the degree of ionicity of the species imaged. This observation has formed the basis of several charge-density-map determinations by convergent-beam electron diffraction [see, for example, Zuo, Spence & O'Keefe (1988)]. Studies of ionicity effects on HREM imaging can be found in Anstis, Lynch, Moodie & O'Keefe (1973) and Fujiyoshi, Ishizuka, Tsuji, Kobayashi & Uyeda (1983). The depletion of the elastic portion of the dynamical electron wavefunction by inelastic crystal excitations (chiefly phonons, single-electron excitations, and plasmons) may have dramatic effects on the HREM images of thicker crystals (Pirouz, 1974). For image formation by the elastic component, these effects may be described through the use of a complex `optical' potential and the appropriate Debye±Waller factor (see Section 2.5.1). However, existing calculations for the absorption coefficients derived from the imaginary part of this potential are frequently not applicable to lattice images because of the large objective apertures used in HREM work. It has been suggested that HREM images formed from electrons that suffer small energy losses (and so remain `in focus') but large-angle scattering events (within the objective aperture) due to phonon excitation may contribute high-resolution detail to images (Cowley, 1988). For measurements of the imaginary part of the optical potential by electron diffraction, the reader is referred to the work of Voss, Lehmpfuhl & Smith (1980), and references therein. All evidence suggests, however, that for the crystal thicknesses generally used Ê the effects of `absorption' are small. for HREM work …t < 200A† In summary, the general approach to the matching of computed and experimental HREM images proceeds as follows (Wilson, Spargo & Smith, 1982). (i) Values of
, c , and Cs are determined by careful measurements under well defined conditions (electron-gun bias setting, illumination aperture size, specimen height as measured by focusing-lens currents, electron-source size, etc). These parameters are then taken as constants for all subsequent work under these instrumental conditions (assuming also continuous monitoring of electronic instabilities). (ii) For a particular structure refinement, the parameters of thickness and focus are then varied, together with the choice of atomic model, in dynamical computer simulations until agreement is obtained. Every effort should be made to match images as a function of thickness and focus. (iii) If agreement cannot be obtained, the effects of small misalignments must be investigated (Smith et al., 1985). Crystals most sensitive to these include those containing reflections that are absent due to the presence of screw or glide elements normal to the beam. 4.3.8.5. Computing methods The general formulations for the dynamical theory of electron diffraction in crystals have been described in Section 5.2 of IT B (1992). In Section 4.3.6, the computing methods used for calculating diffraction-beam amplitudes have been outlined. Given the diffracted-beam amplitudes, g , the image is calculated by use of equations (4.3.8.2), including, when appropriate, the modifications of (4.3.8.13b). The numerical methods that can be employed in relation to crystal-structure imaging make use of algorithms based on (i) matrix diagonalization, (ii) fast Fourier transforms, (iii) realspace convolution (Van Dyck, 1980), (iv) Runge-Kutta (or similar) methods, or (v) power-series evaluation. Two other solutions, the Cowley±Moodie polynomial solution and the

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4. PRODUCTION AND PROPERTIES OF RADIATIONS Feynman path-integral solution, have not been used extensively for numerical work. Methods (i) and (ii) have proven the most popular, with (ii) (the multislice method) being used most extensively for HREM image simulations. The availability of inexpensive array processors has made this technique highly efficient. A comparison of these two N-beam methods is given by Self, O'Keefe, Buseck & Spargo (1983), who find the multislice method to be faster (time proportional to N log2 N) than the diagonalization method (time proportional to N 2 ) for N > 16. Computing space increases roughly as N 2 for the diagonalization method, and as N for the multislice. The problem of steeply inclined boundary conditions for multislice computations has been discussed by Ishizuka (1982). In the Bloch-wave formulation, the lattice image is given by  P P …i† … j† …i† … j† C 0 C 0 C g C h exp i‰2… …i† … j† †t I…r† ˆ i; j h;g

‡ 2…g

h†
r

…
f ; Cs ; g† ‡ …
f ; Cs ; h†Š ; …4:3:8:25†

Cg…i†

and …i† are the eigenvector elements and eigenvalues where of the structure matrix [see Hirsch, Howie, Nicholson, Pashley & Whelan (1977) and Section 4.3.4]. Using modern personal computers or workstations, it is now possible to build efficient single-user systems that allow interactive dynamical structure-image calculations. Either an image intensifier or a cooled scientific grade charge-coupled device and single-crystal scintillator screen may be used to record the images, which are then transferred into a computer (Daberkow, Herrman, Liu & Rau, 1991). This then allows for the possibility of automated alignment, stigmation and focusing to the level of accuracy needed at 0.1 nm point resolution (Krivanek & Mooney, 1993). An image-matching search through trial structures, thickness and focus parameters can then be completed rapidly. Where large numbers of pixels, large dynamic range and high sensitivity are required, the Image Plate has definite advantages and so should find application in electron holography and biology (Shindo, Hiraga, Oikawa & Mori, 1990). For the calculation of images of defects, the method of periodic continuation has been used extensively (Grinton & Cowley, 1971). Since, for kilovolt electrons traversing thin crystals, the transverse spreading of the dynamical wavefunction is limited (Cowley, 1981), the complex image amplitude at a particular point on the specimen exit face depends only on the crystal potential within a cylinder a few aÊngstroÈms in diameter, erected about that point (Spence, O'Keefe & Iijima, 1978). The width of this cylinder depends on accelerating voltage, specimen thickness, and focus setting (see above references). Thus, small overlapping `patches' of exit-face wavefunction may be calculated in successive computations, and the results combined to form a larger area of image. The size of the `artificial superlattice' used should be increased until no change is found in the wavefunction over the central region of interest. For most defects, the positions of only a few atoms are important and, since the electron wavefunction is locally determined (for thin specimens at Scherzer focus), it appears that very large calculations are rarely needed for HREM work. The simulation of profile images of crystal surfaces at large defocus settings will, however, frequently be found to require large amounts of storage. A new program should be tested to ensure that …a† under approximate two-beam conditions the calculated extinction distances for small-unit-cell crystals agree roughly with tabulated values (Hirsch et al., 1977), …b† the simulated dynamical images

have the correct symmetry, …c† for small thickness, the Scherzerfocus images agree with the projected potential, and …d† images and beam intensities agree with those of a program known to be correct. The damping envelope (product representation) [equation (4.3.8.17)] should only be used in a thin crystal with 0 > g ; in general, the effects of partial spatial and temporal coherence must be incorporated using equation (4.3.8.13a) or (4.3.8.13b), depending on whether variations in diffraction conditions over c are important. Thus, a separate multislice dynamical-image calculation for each component plane wave in the incident cone of illumination may be required, followed by an incoherent sum of all resulting images. The outlook for obtaining higher resolution at the time of writing (1997) is broadly as follows. (1) The highest point resolution currently obtainable is close to 0.1 nm, and this has been obtained by taking advantage of the reduction in electron wavelength that occurs at high voltage [equation (4.3.8.16)]. A summary of results from these machines can be found in Ultramicroscopy (1994), Vol. 56, Nos. 1±3, where applications to fullerenes, glasses, quasicrystals, interfaces, ceramics, semiconductors, metals and oxides and other systems may be found. Fig. 4.2.8.6 shows a typical result. High cost, and the effects of radiation damage (particularly at larger thickness where defects with higher free energies are likely to be found), may limit these machines to a few specialized laboratories in the future. The attainment of higher resolution through this approach depends on advances in high-voltage engineering. (2) Aberration coefficients may be reduced if higher magnetic fields can be produced in the pole piece, beyond the saturation flux of the specialized iron alloys currently used. Research into superconducting lenses has therefore continued for many years in a few laboratories. Fluctuations in lens current are also eliminated by this method. (3) Electron holography was originally developed for the purpose of improving electron-microscope resolution, and this approach is reviewed in the following section. (4) Electron±optical correction of aberrations has been under study for many years in work by Scherzer, Crewe, Beck, Krivanek, Lanio, Rose and others ± results of recent experimental tests are described in Haider & Zach (1995) and Krivanek, Dellby, Spence, Camps & Brown (1997). The attainment of 0.1 nm point resolution is considered feasible. Aberration correctors will also provide benefits other than increased resolution, including greater space in the pole piece for increased sample tilt and access to X-ray detectors, etc.

Fig. 4.3.8.6. Structure image of a thin lamella of the 6H polytype of SiC projected along [110] and recorded at 1.2 MeV. Every atomic column (darker dots) is separately resolved at 0.109 nm spacing. The central horizontal strip contains a computer-simulated image; the structure is sketched at the left. [Courtesy of H. Ichinose (1994).]

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4.3. ELECTRON DIFFRACTION The need for resolution improvement beyond 0.1 nm has been questioned ± the structural information retrievable by a single HREM image is always limited by the fact that a projection is obtained. (This problem is particularly acute for glasses.) Methods for combining different projected images (particularly of defects) from the same region (Downing, Meisheng, Wenk & O'Keefe, 1990) may now be as important as the search for higher resolution. 4.3.8.6. Resolution and hyper-resolution Since the resolution of an instrument is a property of the instrument alone, whereas the ability to distinguish HREM image features due to adjacent atoms depends on the scattering properties of the atoms, the resolution of an electron microscope cannot easily be defined [see Subsection 2.5.1.9 in IT B (1992)]. The Rayleigh criterion was developed for the incoherent imaging of point sources and cannot be applied to coherent phase contrast. Only for very thin specimens of light elements for which it can be assumed that the scattering phase is =2 can the straightforward definition of point resolution dp [equation (4.3.8.16)] be applied. In general, the dynamical wavefunction across the exit face of a crystalline sample bears no simple relationship to the crystal structure, other than to preserve its symmetry and to be determined by the `local' crystal potential. The use of a dynamical `R factor' between computed and experimental images of a known structure has been suggested by several workers as the basis for a more general resolution definition. For weakly scattering specimens, the most satisfactory method of measuring either the point resolution dp or the information limit di [see equation (4.3.8.21)] appears to be that of Frank (1975). Here two successive micrographs of a thin amorphous film are recorded (under identical conditions) and the superimposed pair used to obtain a coherent optical diffractogram crossed by fringes. The fringes, which result from small displacements of the micrographs, extend only to the band limit di 1 of information common to both micrographs, and cannot be extended by photographic processing, noise, or increased exposure. By plotting this band limit against defocus, it is possible to determine both
and c . As an alternative, for thin crystalline samples of large-unit-cell materials, the parameters
, c , and Cs can be determined by matching computed and experimental images of crystals of known structure. It is the specification of these parameters (for a given electron intensity and wavelength) that is important in describing the performance of high-resolution electron microscopes. We note that certain conditions of focus or thickness may give a spurious impression of ultra-high resolution [see equations (4.3.8.7) and (4.3.8.8)]. Within the domain of linear imaging, implying, for the most part, the validity of the WPO approximation, many forms of image processing have been employed. These have been of particular importance for crystalline and non-crystalline biological materials and include image reconstruction [see Section 2.5.4 in IT B (1992)] and the derivation of three-dimensional structures from two-dimensional projections [see Section 2.5.5 in IT B (1992)]. For reviews, see also Saxton (1980a), Frank (1980), and Schiske (1975). Several software packages now exist that are designed for image manipulation, Fourier analysis, and cross correlation; for details of these, see Saxton (1980a) and Frank (1980). The theoretical basis for the WPO approximation closely parallels that of axial holography in coherent optics, thus much of that literature can be applied to HREM image processing. Gabor's original proposal for holography was intended for electron microscopy [see Cowley (1981) for a review].

The aim of image-processing schemes is the restoration of the exit-face wavefunction, given in equation (4.3.8.13a). The reconstruction of the crystal potential 'p …r† from this is a separate problem, since these are only simply related under the approximation of Subsection 4.3.8.3. For a non-linear method that allows the reconstruction of the dynamical image wavefunction, based on equation (4.3.8.13b), which thus includes the effects of multiple scattering, see Saxton (1980b). The concept of holographic reconstruction was introduced by Gabor (1948, 1949) as a means of enhancing the resolution of electron microscopes. Gabor proposed that, if the information on relative phases of the image wave could be recorded by observing interference with a known reference wave, the phase modification due to the objective-lens aberrations could be removed. Of the many possible forms of electron holography (Cowley, 1994), two show particular promise of useful improvements of resolution. In what may be called in-line TEM holography, a through-focus series of bright-field images is obtained with near-coherent illumination. With reference to the relatively strong transmitted beam, the relative phase and amplitude changes due to the specimen are derived from the variations of image intensity (see Van Dyck, Op de Beeck & Coene, 1994). The tilt-series reconstruction method also shows considerable promise (Kirkland, Saxton, Chau, Tsuno & Kawasaki, 1995). In the alternative off-axis approach, the reference wave is that which passes by the specimen area in vacuum, and which is made to interfere with the wave transmitted through the specimen by use of an electrostatic biprism (MoÈllenstedt & DuÈker, 1956). The hologram consists of a modulated pattern of interference fringes. The image wavefunction amplitude and phase are deduced from the contrast and lateral displacements of the fringes (Lichte, 1991; Tonomura, 1992). The process of reconstruction from the hologram to give the image wavefunction may be performed by optical-analogue or digital methods and can include the correction of the phase function to remove the effects of lens aberrations and the attendant limitation of resolution. The point resolution of electron microscopes has recently been exceeded by this method (Orchowski, Rau & Lichte, 1995). The aim of the holographic reconstructions is the restoration of the wavefunction at the exit face of the specimen as given by equation (4.3.8.13a). The reconstruction of the crystal potential '…r† from this is a separate problem, since the exit-face wavefunction and '…r† are simply related only under the WPO approximations of Subsection 4.3.8.3. The possibility of deriving reconstructions from wavefunctions strongly affected by dynamical diffraction has been considered by a number of authors (for example, Van Dyck et al., 1994). The problem does not appear to be solvable in general, but for special cases, such as perfect thin single crystals in exact axial orientations, considerable progress may be possible. Since a single atom, or a column of atoms, acts as a lens with negative spherical aberration, methods for obtaining superresolution using atoms as lenses have recently been proposed (Cowley, Spence & Smirnov, 1997). 4.3.8.7. Alternative methods A number of non-conventional imaging modes have been found useful in electron microscopy for particular applications. In scanning transmission electron microscopy (STEM), powerful electron lenses are used to focus the beam from a very small bright source, formed by a field-emission gun, to form a small probe that is scanned across the specimen. Some selected part of the transmitted electron beam (part of the coherent convergent-

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4. PRODUCTION AND PROPERTIES OF RADIATIONS beam electron diffraction pattern produced) is detected to provide the image signal that is displayed or recorded in synchronism with the incident-beam scan. The principle of reciprocity suggests that, for equivalent lenses, apertures and column geometry, the resolution and contrast of STEM and TEM images will be identical (Cowley, 1969). Practical considerations of instrumental convenience distinguish particularly useful STEM modes. Crewe & Wall (1970) showed that, if an annular detector is used to detect all electrons scattered outside the incident-beam cone, dark-field images could be obtained with high efficiency and with a resolution better than that of the bright-field mode by a factor of about 1.4. If the inner radius of the annular detector is made large (of the order of 10 1 rad for 100 kV electrons), the strong diffracted beams occurring for lower angles do not contribute to the resulting high-angle annular dark-field (HAADF) image (Howie, 1979), which is produced mainly by thermal diffuse scattering. The HAADF mode has important advantages for particular purposes because the contrast is strongly dependent on the atomic number, Z, of the atoms present but is not strongly affected by dynamical diffraction effects and so shows near-linear variation with Z and with the atom-number density in the sample. Applications have been made to the imaging of small high-Z particles in low-Z supports, such as in supported metal catalysts (Treacy & Rice, 1989) and to the high-resolution imaging of individual atomic rows in semiconductor crystals, showing the variations of composition across planar interfaces (Pennycook & Jesson, 1991). The STEM imaging modes may be readily correlated with microchemical analysis of selected specimen areas having lateral dimensions in the nanometre range, by application of the techniques of electron energy-loss spectroscopy or X-ray energy-dispersive analysis (Williams & Carter, 1996; Section 4.3.4). Also, diffraction patterns (coherent convergent-beam electron diffraction patterns) may be obtained from any chosen region having dimensions equal to those of the incident-beam diameter and as small as about 0.2 nm (Cowley, 1992). The coherent interference between diffracted beams within such a pattern may provide information on the symmetries, and, ultimately, the atomic arrangement, within the illuminated area, which may be smaller than the projection of the crystal unit cell in the beam direction. This geometry has been used to extend resolution for crystalline samples beyond even the information resolution limit, di (Nellist, McCallum & Rodenburg, 1995), and is the basis for an exact, non-perturbative inversion scheme for dynamical electron diffraction (Spence, 1998). The detection of secondary radiations (light, X-rays, lowenergy `secondary' electrons, etc.) in STEM or the detection of energy losses of the incident electrons, resulting from particular elementary excitations of the atoms in a crystal, in TEM or STEM, may be used to form images showing the distributions in a crystal structure of particular atomic species. In principle, this may be extended to the chemical identification of individual atom types in the projection of crystal structures, but only limited success has been achieved in this direction because of the relatively low level of the signals available. The formation of atomic resolution images using inner-shell excitations, for example, is complicated by the Bragg scattering of these inelastically scattered electrons (Endoh, Hashimoto & Makita, 1994; Spence & Lynch, 1982). Reflection electron microscopy (REM) has been shown to be a powerful technique for the study of the structures and defects of crystal surfaces with moderately high spatial resolution (Larsen & Dobson, 1988), especially when performed in a specially built

electron microscope having an ultra-high-vacuum specimen environment (Yagi, 1993). Images are formed by detecting strong diffracted beams in the RHEED patterns produced when kilovolt electron beams are incident on flat crystal surfaces at grazing incidence angles of a few degrees. The images suffer from severe foreshortening in the beam direction, but, in directions at right angles to the beam, resolutions approaching 0.3 nm have been achieved (Koike, Kobayashi, Ozawa & Yagi, 1989). Single-atom-high surface steps are imaged with high contrast, surface reconstructions involving only one or two monolayers are readily seen and phase transitions of surface superstructures may be followed. The study of surface structure by use of high-resolution transmission electron microscopes has also been productive in particular cases. Images showing the structures of surface layers with near-atomic resolution have been obtained by the use of `forbidden' or `termination' reflections (Cherns, 1974; Takayanagi, 1984) and by phase-contrast imaging (Moodie & Warble, 1967; Iijima, 1977). The imaging of the profiles of the edges of thin or small crystals with clear resolution of the surface atomic layers has also been effective (Marks, 1986). The introduction of the scanning tunnelling microscope (Binnig, Rohrer, Gerber & Weibel, 1983) and other scanning probe microscopies has broadened the field of high-resolution surface structure imaging considerably. 4.3.8.8. Combined use of HREM and electron diffraction For many materials of organic or biological origin, it is possible to obtain very thin crystals, only one or a few molecules thick, extending laterally over micrometre-size areas. These may give selected-area electron-diffraction patterns in electron microscopes with diffraction spots extending out to angles corresponding to d spacings as low as 0.1 nm. Because the materials are highly sensitive to electron irradiation, conventional bright-field images cannot be obtained with resolutions better than several nanometres. However, if images are obtained with very low electron doses and then a process of averaging over the content of a very large number of unit cells of the image is carried out, images showing detail down to the scale of 1 nm or less may be derived for the periodically repeated unit. From such images, it is possible to derive both the magnitudes and phases of the Fourier coefficients, the structure factors, out to some limit of d spacings, say dm . From the diffraction patterns, the magnitudes of the structure factors may be deduced, with greater accuracy, out to a much smaller limit, dd . By combination of the information from these two sources, it may be possible to obtain a greatly improved resolution for an enhanced image of the structure. This concept was first introduced by Unwin & Henderson (1975), who derived images of the purple membrane from Halobacterium halobium, with greatly improved resolution, revealing its essential molecular configuration. Recently, several methods of phase extension have been developed whereby the knowledge of the relative phases may be extended from the region of the diffraction pattern covered by the electron-microscope image transform to the outer parts. These include methods based on the use of the tangent formula or Sayre's equation (Dorset, 1994; Dorset, McCourt, Fryer, Tivol & Turner, 1994) and on the use of maximum-entropy concepts (Fryer & Gilmore, 1992). Such methods have also been applied, with considerable success, to the case of some thin inorganic crystals (Fu et al., 1994). In this case, the limitation on the resolution set by the electron-microscope images may be that due to the transfer function of the microscope, since radiationdamage effects are not so limiting. Then, the resolution achieved

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4.3. ELECTRON DIFFRACTION by the combined application of the electron diffraction data may represent an advance beyond that of normal HREM imaging. Difficulties may well arise, however, because the theoretical

basis for the phase-extension methods is currently limited to the WPO approximation. A summary of the present situation is given in the book by Dorset (1995).

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International Tables for Crystallography (2006). Vol. C, Chapter 4.4, pp. 430–487.

4.4. Neutron techniques

By I. S. Anderson, P. J. Brown, J. M. Carpenter, G. Lander, R. Pynn, J. M. Rowe, O. SchaÈrpf, V. F. Sears and B. T. M. Willis 4.4.1. Production of neutrons (By J. M. Carpenter and G. Lander) The production of neutrons of suf®cient intensity for scattering experiments is a `big-machine' operation; there is no analogue to the small laboratory X-ray unit. The most common sources of neutrons, and those responsible for the great bulk of today's successful neutron scattering programs, are the nuclear reactors. These are based on the continuous, self-sustaining ®ssion reaction. Research-reactor design emphasizes power density, that is the highest power within a small `leaky' volume, whereas power reactors generate large amounts of power over a large core volume. In research reactors, fuel rods are of highly enriched 235 U. Neutrons produced are distributed in a ®ssion spectrum centred about 1 MeV: Most of the neutrons within the reactor are moderated (i.e. slowed down) by collisions in the cooling liquid, normally D2 O or H2 O, and are absorbed in fuel to propagate the reaction. As large a fraction as possible is allowed to leak out as fast neutrons into the surrounding moderator (D2 O and Be are best) and to slow down to equilibrium with this moderator. The neutron spectrum is Maxwellian with a mean energy of 300 K …ˆ 25 meV†, which for neutrons corresponds Ê since to 1.8 A Ê 2 †: En …meV† ˆ 81:8=l2 …A Neutrons are extracted in beams through holes that penetrate the moderator. There are two points to remember: …a† neutrons are neutral so that we cannot focus the beams and …b† the spectrum is broad and

continuous; there is no analogy to the characteristic wavelength found with X-ray tubes, or to the high directionality of synchrotron-radiation sources. Neutron production and versatility in reactors reached a new level with the construction of the High-Flux Reactor at the French-German-English Institut Laue-Langevin (ILL) in Grenoble, France. An overview of the reactor and beam-tube assembly is shown in Fig. 4.4.1.1. To shift the spectrum in energy, both a cold source (25 l of liquid deuterium at 25 K) and a hot source (graphite at 2400 K) have been inserted into the D2 O moderator. Special beam tubes view these sources allowing a Ê to be used. Over 30 range of wavelengths from  0:3 to 17 A instruments are in operation at the ILL, which started in 1972. The second method of producing neutrons, which historically predates the discovery of ®ssion, is with charged particles ( particles, protons, etc.) striking a target nuclei. The most powerful source of neutrons of this type uses proton beams. These are accelerated in short bursts (< 1 ms) to 500±1000 MeV, and after striking the target produce an instantaneous supply of high-energy `evaporation' neutrons. These extend up in energy close to that of the incident proton beam. Shielding for spallation sources tends to be even more massive than that for reactors. The targets, usually tungsten or uranium and typically much smaller than a reactor core, are surrounded by hydrogenous moderators such as polyethylene (often at different temperatures) to produce the `slow' neutrons …En < 10 eV† used in scattering experiments. The moderators are very different from those of reactors; they are designed to slow down neutrons rapidly and to let them leak out, rather than to store them for a long time. If the accelerated

Fig. 4.4.1.1. A plane view of the installation at the Institut Laue±Langevin, Grenoble. Note especially the guide tubes exiting from the reactor that transport the neutron beams to a variety of instruments; these guide tubes are made of nickel-coated glass from which the neutrons are totally internally re¯ected.

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4.4. NEUTRON TECHNIQUES particle pulse is short enough, the duration of the moderated neutron pulses is roughly inversely proportional to the neutron speed. These accelerator-driven pulsed sources are pulsed at frequencies of between 10 and 100 Hz. There are two fundamental differences between a reactor and a pulsed source. (1) All experiments at a pulsed source must be performed with time-of-¯ight techniques. The pulsed source produces neutrons in bursts of 1 to 50 ms duration, depending on the energy, spaced about 10 to 100 ms apart, so that the duty cycle is low but there is very high neutron intensity within each pulse. The time-of-¯ight technique makes it possible to exploit that high intensity. With the de Broglie relationship, for neutrons Ê ˆ 0:3966 t …ls†=L …cm†; l …A† where t is the ¯ight time in ms and L is the total ¯ight path in cm. (2) The spectral characteristics of pulsed sources are somewhat different from reactors in that they have a much larger component of higher-energy (above 100 meV) neutrons than the thermal spectrum at reactors. The exploitation of this new energy regime accompanied by the short pulse duration is one of the great opportunities presented by spallation sources. Fig. 4.4.1.2 illustrates the essential difference between experiments at a steady-state source (left panel) and a pulsed source (right panel). We con®ne the discussion here to diffraction. If the time over which useful information is gathered is equivalent to the full period of the source
t (the case suggested by the lower-right ®gure), the peak ¯ux of the pulsed source is the effective parameter to compare with the ¯ux of the steady-state source. Often this is not the case, so one makes a comparison in terms of time-averaged ¯ux (centre panel). For the pulsed source, this is lowered from the peak ¯ux by the duty cycle, but with the time-of-¯ight method one uses a large interval of the spectrum (shaded area). For the steady-state source, the time-averaged ¯ux is high, but only a small wavelength slice (stippled area) is used in the experiment. It is the integrals of the

two areas which must be compared; for the pulsed sources now being designed, the integral is generally favourable compared with present-day reactors. Finally, one can see from the central panel that high-energy neutrons (100±1000 meV) are especially plentiful at the pulsed sources. These various features can be exploited in the design of different kinds of experiments at pulsed sources. 4.4.2. Beam-de®nition devices (By I. S. Anderson and O. SchaÈrpf) 4.4.2.1. Introduction Neutron scattering, when compared with X-ray scattering techniques developed on modern synchrotron sources, is ¯ux limited, but the method remains unique in the resolution and range of energy and momentum space that can be covered. Furthermore, the neutron magnetic moment allows details of microscopic magnetism to be examined, and polarized neutrons can be exploited through their interaction with both nuclear and electron spins. Owing to the low primary ¯ux of neutrons, the beam de®nition devices that play the role of de®ning the beam conditions (direction, divergence, energy, polarization, etc.) have to be highly ef®cient. Progress in the development of such devices not only results in higher-intensity beams but also allows new techniques to be implemented. The following sections give a (non-exhaustive) review of commonly used beam-de®nition devices. The reader should keep in mind the fact that neutron scattering experiments are typically carried out with large beams (1 to 50 cm2 ) and divergences between 5 and 30 mrad. 4.4.2.2. Collimators A collimator is perhaps the simplest neutron optical device and is used to de®ne the direction and divergence of a neutron beam. The most rudimentary collimator consists of two slits or pinholes

Fig. 4.4.1.2. Schematic diagram for performing diffraction experiments at steady-state and pulsed neutron sources. On the left we see the familiar monochromator crystal allowing a constant (in time) beam to fall on the sample (centre left), which then diffracts the beam through an angle 2s into the detector. The signal in the latter is also constant in time (lower left). On the right, the pulsed source allows a wide spectrum of neutrons to fall on the sample in sharp pulses separated by
t (centre right). The neutrons are then diffracted by the sample through 2s and their time of arrival in the detector is analysed (lower right). The centre ®gure shows the time-averaged ¯ux at the source. At a reactor, we make use of a Ê At a pulsed source, we use a wide spectral band, here chosen from 0.4 to narrow band of neutrons (heavy shading), here chosen with l ˆ 1:5 A. Ê and each one is identi®ed by its time-of-¯ight. For the experimentalist, an important parameter is the integrated area of the two-shaded areas. 3A Here they have been made identical.

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4. PRODUCTION AND PROPERTIES OF RADIATIONS cut into an absorbing material and placed one at the beginning and one at the end of a collimating distance L. The maximum beam divergence that is transmitted with this con®guration is max ˆ …a1 ‡ a2 †=L;

…4:4:2:1†

where a1 and a2 are the widths of the slits or pinholes. Such a device is normally used for small-angle scattering and re¯ectometry. In order to avoid parasitic scattering by re¯ection from slit edges, very thin sheets of a highly absorbing material, e.g. gadolinium foils, are used as the slit material. Sometimes wedge-formed cadmium plates are suf®cient. In cases where a very precise edge is required, cleaved single-crystalline absorbers such as gallium gadolinium garnet (GGG) can be employed. To avoid high intensity losses when the distances are large, sections of neutron guide can be introduced between the collimators, as in, for example, small-angle scattering instruments with variable collimation. In this case, for maximum intensity at a given resolution (divergence), the collimator length should be equal to the camera length, i.e. the sample±detector distance (Schmatz, Springer, Schelten & Ibel, 1974). As can be seen from (4.4.2.1), the beam divergence from a simple slit or pinhole collimator depends on the aperture size. In order to collimate (in one dimension) a beam of large cross section within a reasonable distance L, Soller collimators, composed of a number of equidistant neutron absorbing blades, are used. To avoid losses, the blades must be as thin and as ¯at as possible. If their surfaces do not re¯ect neutrons, which can be achieved by using blades with rough surfaces or materials with a negative scattering length, such as foils of hydrogen-containing polymers (Mylar is commonly used) or paper coated with neutron-absorbing paint containing boron or gadolinium (Meister & Weckerman, 1973; Carlile, Hey & Mack, 1977), the angular dependence of the transmission function is close to the ideal triangular form, and transmissions of 96% of the theoretical value can be obtained with 100 collimation. If the blades of the Soller collimator are coated with a material whose critical angle of re¯ection is equal to max =2 (for one particular wavelength), then a square angular transmission function is obtained instead of the normal triangular function, thus doubling the theoretical transmission (Meardon & Wroe, 1977). Soller collimators are often used in combination with singlecrystal monochromators to de®ne the wavelength resolution of an instrument but the Soller geometry is only useful for onedimensional collimation. For small-angle scattering applications, where two-dimensional collimation is required, a converging `pepper pot' collimator can be used (Nunes, 1974; Glinka, Rowe & LaRock, 1986). Cylindrical collimators with radial blades are sometimes used to reduce background scattering from the sample environment. This type of collimator is particularly useful with positionsensitive detectors and may be oscillated about the cylinder axis to reduce the shadowing effect of the blades (Wright, Berneron & Heathman, 1981). 4.4.2.3. Crystal monochromators Bragg re¯ection from crystals is the most widely used method for selecting a well de®ned wavelength band from a white neutron beam. In order to obtain reasonable re¯ected intensities and to match the typical neutron beam divergences, crystals that re¯ect over an angular range of 0.2 to 0.5 are typically employed. Traditionally, mosaic crystals have been used in preference to perfect crystals, although re¯ection from a mosaic crystal gives rise to an increase in beam divergence with a

concomitant broadening of the selected wavelength band. Thus, collimators are often used together with mosaic monochromators to de®ne the initial and ®nal divergences and therefore the wavelength spread. Because of the beam broadening produced by mosaic crystals, it was soon recognised that elastically deformed perfect crystals and crystals with gradients in lattice spacings would be more suitable candidates for focusing applications since the deformation can be modi®ed to optimize focusing for different experimental conditions (Maier-Leibnitz, 1969). Perfect crystals are used commonly in high-energy-resolution backscattering instruments, interferometry and Bonse±Hart cameras for ultra-small-angle scattering (Bonse & Hart, 1965). An ideal mosaic crystal is assumed to comprise an agglomerate of independently scattering domains or mosaic blocks that are more or less perfect, but small enough that primary extinction does not come into play, and the intensity re¯ected by each block may be calculated using the kinematic theory (Zachariasen, 1945; Sears, 1997). The orientation of the mosaic blocks is distributed inside a ®nite angle, called the mosaic spread, following a distribution that is normally assumed to be Gaussian. The ideal neutron mosaic monochromator is not an ideal mosaic crystal but rather a mosaic crystal that is suf®ciently thick to obtain a high re¯ectivity. As the crystal thickness increases, however, secondary extinction becomes important and must be accounted for in the calculation of the re¯ectivity. The model normally used is that developed by Bacon & Lowde (1948), which takes into account strong secondary extinction and a correction factor for primary extinction (Freund, 1985). In this case, the mosaic spread (usually de®ned by neutron scatterers as the full width at half maximum of the re¯ectivity curve) is not an intrinsic crystal property, but increases with wavelength and crystal thickness and can become quite appreciable at longer wavelengths. Ideal monochromator materials should have a large scatteringlength density, low absorption, incoherent and inelastic cross sections, and should be available as large single crystals with a suitable defect concentration. Relevant parameters for some typical neutron monochromator crystals are given in Table 4.4.2.1. In principle, higher re¯ectivities can be obtained in neutron monochromators that are designed to operate in re¯ection geometry, but, because re¯ection crystals must be very large when takeoff angles are small, transmission geometry may be used. In that case, the optimization of crystal thickness can only be achieved for a small wavelength range. Nickel has the highest scattering-length density, but, since natural nickel comprises several isotopes, the incoherent cross section is quite high. Thus, isotopic 58 Ni crystals have been grown as neutron monochromators despite their expense. Beryllium, owing to its large scattering-length density and low incoherent and absorption cross sections, is also an excellent candidate for neutron monochromators, but the mosaic structure of beryllium is dif®cult to modify, and the availability of goodquality single crystals is limited (MuÈcklich & Petzow, 1993). These limitations may be overcome in the near future, however, by building composite monochromators from thin beryllium blades that have been plastically deformed (May, Klimanek & Magerl, 1995). Pyrolytic graphite is a highly ef®cient neutron monochromator if only a medium resolution is required (the minimum mosaic spread is of the order of 0.4 ), owing to high re¯ectivities, which may exceed 90% (Shapiro & Chesser, 1972), but its use is Ê owing to the rather large d limited to wavelengths above 1.5A, spacing of the 002 re¯ection. Whenever better resolution at

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4.4. NEUTRON TECHNIQUES Table 4.4.2.1. Some important properties of materials used for neutron monochromator crystals (in order of increasing unit-cell volume)

Material

Structure

Ratio of Square of incoherent to total Lattice Coherent scatteringconstant(s) Unit-cell scattering scattering length at 300 K volume length cross section density Ê ) V0 …10 24 cm3 † b (10 12 cm) 10 21 cm 4 a; c (A inc =s

Beryllium

h.c.p

Iron Zinc

b.c.c. h.c.p.

Pyrolytic graphite Niobum Nickel (58 Ni) Copper Aluminium Lead Silicon Germanium

layer hexag. b.c.c. f.c.c.

a : 2:2856 c : 3:5832 a : 2:8664 a : 2:6649 c : 4:9468 a : 2:461 c : 6:708 3.3006 3.5241

f.c.c. f.c.c. f.c.c. diamond diamond

3.6147 4.0495 4.9502 5.4309 5.6575

* 1 barnˆ 10

28

4

16.2

0.779 (1)

9.25

6:5  10

23.5 30.4

0.954 (6) 0.5680 (5)

6.59 1.50

0.033 0.019

35.2

0.66484 (13)

5.71

< 2  10

35.9 43.8

0.7054 (3) 1.44 (1)

1.54 17.3

4  10 0

4.28 0.43 0.97 0.43 1.31

0.065 5:6  10 2:7  10 6:9  10 0.020

47.2 66.4 121 160 181

0.7718 (4) 0.3449 (5) 0.94003 (14) 0.41491 (10) 0.81929 (7)

4

4

3 4 3

Absorption Debye cross section AD2 abs (barns)* Atomic temperature Ê mass A (at l ˆ 1:8 A) D (K) …106 K2 † 0.0076 (8)

9.013

1188

12.7

2.56 (3) 1.11 (2)

55.85 65.38

411 253

9.4 4.2

0.00350 (7)

12.01

800

7.7

1.15 (5) 4.6 (3)

92.91 58.71

284 417

7.5 9.9

3.78 (2) 0.231 (3) 0.171 (2) 0.171 (3) 2.3 (2)

63.54 26.98 207.21 28.09 72.60

307 402 87 543 290

6.0 4.4 1.6 8.3 6.1

m2 .

shorter wavelengths is required, copper (220 and 200) or germanium (311 and 511) monochromators are frequently used. The advantage of copper is that the mosaic structure can be easily modi®ed by plastic deformation at high temperature. As with most face-centred cubic crystals, it is the (111) slip planes that are functional in generating the dislocation density needed for the desired mosaic spread, and, depending on the required orientation, either isotropic or anisotropic mosaics can be produced (Freund, 1976). The latter is interesting for vertical focusing applications, where a narrow vertical mosaic is required regardless of the resolution conditions. Although both germanium and silicon are attractive as monochromators, owing to the absence of second-order neutrons for odd-index re¯ections, it is dif®cult to produce a controlled uniform mosaic spread in bulk samples by plastic deformation at high temperature because of the dif®culty in introducing a spatially homogenous microstructure in large single crystals (Freund, 1975). Recently this dif®culty has been overcome by building up composite monochromators from a stack of thin wafers, as originally proposed by Maier-Leibnitz (1967; Frey, 1974). In practice, an arti®cial mosaic monochromator can be built up in two ways. In the ®rst approach, illustrated in Fig. 4.4.2.1(a), the monochromator comprises a stack of crystalline wafers, each of which has a mosaic spread close to the global value required for the entire stack. Each wafer in the stack must be plastically deformed (usually by alternated bending) to produce the correct mosaic spread. For certain crystal orientations, the plastic deformation may result in an anisotropic mosaic spread. This method has been developed in several laboratories to construct germanium monochromators (Vogt, Passell, Cheung & Axe, 1994; Schefer et al., 1996). In the second approach, shown in Fig. 4.4.2.1(b), the global re¯ectivity distribution is obtained from the contributions of several stacked thin crystalline wafers, each with a rather narrow mosaic spread compared with the composite value but slightly misoriented with respect to the other wafers in the stack. If the misorientation of each wafer can be correctly controlled, this

technique has the major advantage of producing monochromators with a highly anisotropic mosaic structure. The shape of the re¯ectivity curve can be chosen at will (Gaussian, Lorentzian, rectangular), if required. Moreover, because the initial mosaicity required is small, it is not necessary to use mosaic wafers and therefore for each wafer to undergo a long and tedious plastic deformation process. Recently, this method has been applied successfully to construct copper monochromators (Hamelin, Anderson, Berneron, Escof®er, Foltyn & Hehn, 1997), in which individual copper wafers were cut in a cylindrical form and then slid across one another to produce the required mosaic spread in the scattering plane. This technique looks very promising for the production of anisotropic mosaic monochromators. The re¯ection from a mosaic crystal is visualized in Fig. 4.4.2.2(b). An incident beam with small divergence is transformed into a broad exit beam. The range of k vectors,
k, selected in this process depends on the mosaic spread, , and the incoming and outgoing beam divergences, 1 and 2 :
k=k ˆ
= ‡  cot ;

where  is the magnitude of the crystal reciprocal-lattice vector ( ˆ 2=d) and  is given by s 21 22 ‡ 21 2 ‡ 22 2 …4:4:2:3† ˆ 21 ‡ 22 ‡ 42 : The resolution can therefore be de®ned by collimators, and the highest resolution is obtained in backscattering, where the wavevector spread depends only on the intrinsic
d=d of the crystal. In some applications, the beam broadening produced by mosaic crystals can be detrimental to the instrument performance. An interesting alternative is a gradient crystal, i.e. a single crystal with a smooth variation of the interplanar lattice spacing along a de®ned crystallographic direction. As shown in Fig. 4.4.2.2(c), the diffracted phase-space element has a different shape from that obtained from a mosaic crystal. Gradients in d spacing can be produced in various ways,

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…4:4:2:2†

4. PRODUCTION AND PROPERTIES OF RADIATIONS including thermal gradients (Alefeld, 1972), vibrating crystals by piezoelectric excitation (Hock, Vogt, Kulda, Mursic, Fuess & Magerl, 1993), and mixed crystals with concentration gradients, e.g. Cu±Ge (Freund, Guinet, MareÂschal, Rustichelli & Vanoni, 1972) and Si±Ge (Maier-Leibnitz & Rustichelli, 1968; Magerl, Liss, Doll, Madar & Steichele, 1994). Both vertically and horizontally focusing assemblies of mosaic crystals are employed to make better use of the neutron ¯ux when making measurements on small samples. Vertical focusing can lead to intensity gain factors of between two and ®ve without affecting resolution (real-space focusing) (Riste, 1970; Currat, 1973). Horizontal focusing changes the k-space volume that is selected by the monochromator through the variation in Bragg angle across the monochromator surface (k-space focusing) (Scherm, Dolling, Ritter, Schedler, Teuchert & Wagner, 1977). The orientation of the diffracted k-space volume can be modi®ed by variation of the horizontal curvature, so that the resolution of the monochromator may be optimized with respect to a particular sample or experiment without loss of illumination. Monochromatic focusing can be achieved. Furthermore, asymmetrically

Fig. 4.4.2.1. Two methods by which arti®cial mosaic monochromators can be constructed: (a) out of a stack of crystalline wafers, each with a mosaicity close to the global value. The increase in divergence due to the mosaicity is the same in the horizontal (left picture) and the vertical (right picture) directions; (b) out of several stacked thin crystalline wafers each with a rather narrow mosaic but slightly misoriented in a perfectly controlled way. This allows the shape of the re¯ectivity curve to be rectangular, Gaussian, Lorentzian, etc., and highly anisotropic, i.e. vertically narrow (right picture) and horizontally broad (left ®gure).

cut crystals may be used, allowing focusing effects in real space and k space to be decoupled (Scherm & Kruger, 1994). Traditionally, focusing monochromators consist of rectangular crystal plates mounted on an assembly that allows the orientation of each crystal to be varied in a correlated manner (BuÈhrer, 1994). More recently, elastically deformed perfect crystals (in particular silicon) have been exploited as focusing elements for monochromators and analysers (Magerl & Wagner, 1994). Since thermal neutrons have velocities that are of the order of km s 1 , their wavelengths can be Doppler shifted by diffraction from moving crystals. The k-space representation of the diffraction from a crystal moving perpendicular to its lattice planes is shown in Fig. 4.4.2.3(a). This effect is most commonly used in backscattering instruments on steady-state sources to vary the energy of the incident beam. Crystal velocities of 9± 10 m s 1 are practically achievable, corresponding to energy variations of the order of  60 meV. The Doppler shift is also important in determining the resolution of the rotating-crystal time-of-¯ight (TOF) spectrom-

Fig. 4.4.2.2. Reciprocal-lattice representation of the effect of a monochromator with reciprocal-lattice vector  on the reciprocalspace element of a beam with divergence . (a) For an ideal crystal with a lattice constant width
; (b) for a mosaic crystal with mosaicity , showing that a beam with small divergence, , is transformed into a broad exit beam with divergence 2 ‡ ; (c) for a gradient crystal with interplanar lattice spacing changing over
, showing that the divergence is not changed in this case.

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4.4. NEUTRON TECHNIQUES eter, ®rst conceived by Brockhouse (1958). A pulse of monochromatic neutrons is obtained when the reciprocal-lattice vector of a rotating crystal bisects the angle between two collimators. Effectively, the neutron k vector is changed in both direction and magnitude, depending on whether the crystal is moving towards or away from the neutron. For the rotating crystal, both of these situations occur simultaneously for different halves of the crystal, so that the net effect over the beam cross section is that a wider energy band is re¯ected than from the crystal at rest, and that, depending on the sense of rotation, the beam is either focused or defocused in time (Meister & Weckerman, 1972). The Bragg re¯ection of neutrons from a crystal moving parallel to its lattice planes is illustrated in Fig. 4.4.2.3(b). It can be seen that the moving crystal selects a larger
k than the crystal at rest, so that the re¯ected intensity is higher. Furthermore, it is possible under certain conditions to orientate the diffracted phase-space volume orthogonal to the diffraction vector. In this way, a monochromatic divergent beam can be obtained from a collimated beam with a larger energy spread. This provides an elegant means of producing a divergent beam with a suf®ciently wide momentum spread to be scanned by the Doppler crystal of a backscattering instrument (Schelten & Alefeld, 1984). Finally, an alternative method of scanning the energy of a monochromator in backscattering is to apply a steady but uniform temperature variation. The monochromator crystal must have a reasonable thermal expansion coef®cient, and care has to be taken to ensure a uniform temperature across the crystal.

Table 4.4.2.2. Neutron scattering-length densities, Nbcoh , for some commonly used materials Material

Nb …10

58

Ni Diamond Nickel Quartz Germanium Silver Aluminium Silicon Vanadium Titanium Manganese

6

Ê 2† A

13.31 11.71 9.40 3.64 3.62 3.50 2.08 2.08 0.27 1.95 2.95

4.4.2.4. Mirror re¯ection devices The refractive index, n, for neutrons of wavelength l propagating in a nonmagnetic material of atomic density N is given by the expression n2 ˆ 1

l2 Nbcoh ;

…4:4:2:4†

where bcoh is the mean coherent scattering length. Values of the scattering-length density Nbcoh for some common materials are listed in Table 4.4.2.2, from which it can be seen that the refractive index for most materials is slightly less than unity, so that total external re¯ection can take place. Thus, neutrons can be re¯ected from a smooth surface, but the critical angle of re¯ection, c ; given by r Nbcoh

c ˆ l ; …4:4:2:5†  is small, so that re¯ection can only take place at grazing Ê 1. incidence. The critical angle for nickel, for example, is 0.1 A Because of the shallowness of the critical angle, re¯ective optics are traditionally bulky, and focusing devices tend to have long focal lengths. In some cases, however, depending on the beam divergence, a long mirror can be replaced by an equivalent stack of shorter mirrors. 4.4.2.4.1. Neutron guides

Fig. 4.4.2.3. Momentum-space representation of Bragg scattering from a crystal moving (a) perpendicular and (b) parallel to the diffracting planes with a velocity vk. The vectors kL and k0L refer to the incident and re¯ected wavevectors in the laboratory frame of reference. In (a), depending on the direction of vk, the re¯ected wavevector is larger or smaller than the incident wavevector, kL. In (b), a larger incident reciprocal-space volume,
vL, is selected by the moving crystal than would have been selected by the crystal at rest. The re¯ected reciprocal-space element,
v0L, has a large divergence, but can be arranged to be normal to k0L, hence improving the resolution
k0L.

The principle of mirror re¯ection is the basis of neutron guides, which are used to transmit neutron beams to instruments that may be situated up to 100 m away from the source (Christ & Springer, 1962; Maier-Leibnitz & Springer, 1963). A standard neutron guide is constructed from boron glass plates assembled to form a rectangular tube, the dimensions of which may be up to 200 mm high by 50 mm wide. The inner surface of the guide is Ê of either nickel, 58 Ni coated with approximately 1200 A Ê 1 ( c ˆ 0:12 A ), or a `supermirror' (described below). The guide is usually evacuated to reduce losses due to absorption and scattering of neutrons in air. Theoretically, a neutron guide that is fully illuminated by the source will transmit a beam with a square divergence of full width 2 c in both the horizontal and vertical directions, so that the transmitted solid angle is proportional to l2 . In practice, owing to imperfections in the assembly of the guide system, the divergence pro®le is closer to Gaussian than square at the end of a long guide. Since the neutrons may undergo a large number of re¯ections in the guide, it is important to achieve a high re¯ectivity. The specular re¯ectivity is determined by the surface roughness, and typically values in the range 98.5 to 99% are

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4. PRODUCTION AND PROPERTIES OF RADIATIONS achieved. Further transmission losses occur due to imperfections in the alignment of the sections that make up the guide. The great advantage of neutron guides, in addition to the transport of neutrons to areas of low background, is that they can be multiplexed, i.e. one guide can serve many instruments. This is achieved either by de¯ecting only a part of the total cross section to a given instrument or by selecting a small wavelength range from the guide spectrum. In the latter case, the selection device (usually a crystal monochromator) must have a high transmission at other wavelengths. If the neutron guide is curved, the transmission becomes wavelength dependent, as illustrated in Fig. 4.4.2.4. In this case, one can de®ne a characteristic wavelength, l , given by the p  relation  ˆ 2a=, so that ss  2a  …4:4:2:6† l ˆ Nbcoh  (where a is the guide width and  the radius of curvature), for which the theoretical transmission drops to 67%. For wavelengths less than l , neutrons can only be transmitted by `garland' re¯ections along the concave wall of the curved guide. Thus, the guide acts as a low-pass energy ®lter as longpas its   length is longer than the direct line-of-sight length L1 ˆ 8a. For example, a 3 cm wide nickel-coated guide whose characterÊ (radius of curvature 1300 m) must be at istic wavelength is 4 A least 18 m long to act as a ®lter. The line-of-sight length can be reduced by subdividing the guide into a number of narrower channels, each of which acts as a miniguide. The resulting device, often referred to as a neutron bender, since deviation of the beam is achieved more rapidly, is used in beam deviators (Alefeld et al., 1988) or polarizers (Hayter, Penfold & Williams, 1978). A microbender was devised by Marx (1971) in which the channels were made by evaporating alternate layers of aluminium (transmission layer) and nickel (mirror layer) onto a ¯exible smooth substrate. Tapered guides can be used to reduce the beam size in one or two dimensions (Rossbach et al., 1988), although, since mirror re¯ection obeys Liouville's theorem, focusing in real space is achieved at the expense of an increase in divergence. This fact can be used to calculate analytically the expected gain in neutron ¯ux at the end of a tapered guide (Anderson, 1988). Alternatively, focusing can be achieved in one dimension using a bender in which the individual channel lengths are adjusted to create a focus (Freund & Forsyth, 1979).

halo around the image point. Owing to its low thermal expansion coef®cient, highly polished Zerodur is often chosen as substrate. 4.4.2.4.3. Multilayers Schoenborn, Caspar & Kammerer (1974) ®rst pointed out that multibilayers, comprising alternating thin ®lms of different scattering-length densities (Nbcoh ) act like two-dimensional crystals with a d spacing given by the bilayer period. With modern deposition techniques (usually sputtering), uniform ®lms of thickness ranging from about twenty to a few hundred aÊngstroÈms can be deposited over large surface areas of the order of 1 m2 . Owing to the rather large d spacings involved, the Bragg re¯ection from multilayers is generally at grazing incidence, so that long devices are required to cover a typical beam width, or a stacked device must be used. However, with judicious choice of the scattering-length contrast, the surface and interface roughness, and the number of layers, re¯ectivities close to 100% can be reached.

4.4.2.4.2. Focusing mirrors Optical imaging of neutrons can be achieved using ellipsoidal or torroidal mirrors, but, owing to the small critical angle of re¯ection, the dimensions of the mirrors themselves and the radii of curvature must be large. For example, a 4 m long toroidal mirror has been installed at the IN15 neutron spin echo spectrometer at the Institut Laue±Langevin, Grenoble (Hayes et al., 1996), to focus neutrons with wavelengths greater than Ê The mirror has an in-plane radius of curvature of 15A. 408.75 m, and the sagittal radius is 280 mm. A coating of 65 Cu is used to obtain a high critical angle of re¯ection while maintaining a low surface roughness. Slope errors of less than 2:5  10 5 rad (r.m.s.) combined with a surface roughness of Ê allow a minimum resolvable scattering vector of less than 3A Ê 1 to be reached. about 5  10 4 A For best results, the slope errors and the surface roughness must be low, in particular in small-angle scattering applications, since diffuse scattering from surface roughness gives rise to a

Fig. 4.4.2.4. In a curved neutron guide, the transmission becomes l dependent: (a) the possible types of re¯ection (garland and zig-zag), the direct line-of-sight length, the criticalpangle  , which is related to  the characteristic wavelength l ˆ  =Nbcoh ; (b) transmission across the exit of the guide for different wavelengths, normalized to unity at the outside edge; (c) total transmission of the guide as a function of l.

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4.4. NEUTRON TECHNIQUES Fig. 4.4.2.5 illustrates how variation in the bilayer period can be used to produce a monochromator (the minimum
l=l that can be achieved is of the order of 0.5%), a broad-band device, or a `supermirror', so called because it is composed of a particular sequence of bilayer thicknesses that in effect extends the region of total mirror re¯ection beyond the ordinary critical angle (Turchin, 1967; Mezei, 1976; Hayter & Mook, 1989). Supermirrors have been produced that extend the critical angle of nickel by a factor, m, of between three and four with re¯ectivities better than 90%. Such high re¯ectivities enable supermirror neutron guides to be constructed with ¯ux gains, compared with nickel guides, close to the theoretical value of m2 . The choice of the layer pairs depends on the application. For non-polarizing supermirrors and broad-band devices (Hghj, Anderson, Ebisawa & Takeda, 1996), the Ni/Ti pair is commonly used, either pure or with some additions to relieve strain and stabilize interfaces (Elsenhans et al., 1994) or alter the magnetism (Anderson & Hghj, 1996), owing to the high contrast in scattering density, while for narrow-band monochromators a low contrast pair such as W/Si is more suitable. 4.4.2.4.4. Capillary optics Capillary neutron optics, in which hollow glass capillaries act as waveguides, are also based on the concept of total external re¯ection of neutrons from a smooth surface. The advantage of capillaries, compared with neutron guides, is that the channel sizes are of the order of a few tens of micrometres, so that the radius of curvature can be signi®cantly decreased for a given characteristic wavelength [see equation (4.4.2.6)]. Thus, neutrons can be ef®ciently de¯ected through large angles, and the device can be more compact. Two basic types of capillary optics exist, and the choice depends on the beam characteristics required. Polycapillary ®bres are manufactured from hollow glass tubes several centimetres in diameter, which are heated, fused and drawn multiple times until bundles of thousands of micrometre-sized channels are formed having an open area of up to 70% of the cross section. Fibre outer diameters range from 300 to 600 mm and contain hundreds or thousands of individual channels with inner diameters between 3 and 50 mm. The channel cross section is usually hexagonal, though square channels have been

Fig. 4.4.2.5. Illustration of how a variation in the bilayer period can be used to produce a monochromator, a broad-band device, or a supermirror.

produced, and the inner channel wall surface roughness is Ê r.m.s., giving rise to very high typically less than 10 A re¯ectivities. The principal limitations on transmission ef®ciency are the open area, the acceptable divergence (note that the Ê 1 ) and re¯ection losses due to critical angle for glass is 1 mrad A absorption and scattering. A typical optical device will comprise hundreds or thousands of ®bres threaded through thin screens to produce the required shape. Fig. 4.4.2.6 shows typical applications of polycapillary devices. In Fig. 4.4.2.6(a), a polycapillary lens is used to refocus neutrons collected from a divergent source. The half lens depicted in Fig. 4.4.2.6(b) can be used either to produce a nearly parallel (divergence ˆ 2 c ) beam from a divergent source or (in the reverse sense) to focus a nearly parallel beam, e.g. from a neutron guide. The size of the focal point depends on the channel size, the beam divergence, and the focal length of the lens. For example, a polycapillary lens used in a prompt -activation analysis instrument at the National Institute of Standards and Technology to focus a cold neutron beam from a neutron guide results in a current density gain of 80 averaged over the focused beam size of 0.53 mm (Chen et al., 1995). Fig. 4.4.2.6(c) shows another simple application of polycapillaries as a compact beam bender. In this case, such a bender may be more compact than an equivalent multichannel guide bender, although the accepted divergence will be less. Furthermore, as with curved neutron guides, owing to the wavelength dependence of the critical angle the capillary curvature can be used to ®lter out thermal or high-energy neutrons. It should be emphasized that the applications depicted in Fig. 4.4.2.6 obey Liouville's theorem, in that the density of neutrons in phase space is not changed, but the shape of the phase-space volume is altered to meet the requirements of the experiment,

Fig. 4.4.2.6. Typical applications of polycapillary devices: (a) lens used to refocus a divergent beam; (b) half-lens to produce a nearly parallel beam or to focus a nearly parallel beam; (c) a compact bender.

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4. PRODUCTION AND PROPERTIES OF RADIATIONS i.e. there is a simple trade off between beam dimension and divergence. The second type of capillary optic is a monolithic con®guration. The individual capillaries in monolithic optics are tapered and fused together, so that no external frame assembly is necessary (Chen-Mayer et al., 1996). Unlike the multi®bre devices, the inner diameters of the channels that make up the monolithic optics vary along the length of the component, resulting in a smaller more compact design. Further applications of capillary optics include small-angle scattering (Mildner, 1994) and lenses for high-spatial-resolution area detection. 4.4.2.5. Filters Neutron ®lters are used to remove unwanted radiation from the beam while maintaining as high a transmission as possible for the neutrons of the required energy. Two major applications can be identi®ed: removal of fast neutrons and -rays from the primary beam and reduction of higher-order contributions (l=n) in the secondary beam re¯ected from crystal monochromators. In this section, we deal with non-polarizing ®lters, i.e. those whose transmission and removal cross sections are independent of the neutron spin. Polarizing ®lters are discussed in the section concerning polarizers. Filters rely on a strong variation of the neutron cross section with energy, usually either the wavelength-dependent scattering cross section of polycrystals or a resonant absorption cross section. Following Freund (1983), the total cross section determining the attenuation of neutrons by a crystalline solid can be written as a sum of three terms,  ˆ abs ‡ tds ‡ Bragg :

Pyrolytic graphite, being a layered material with good crystalline properties along the c direction but random orientation perpendicular to it, lies somewhere between a polycrystal and a single crystal as far as its attenuation cross section is concerned. The energy-dependent cross section for a neutron beam incident along the c axis of a pyrolytic graphite ®lter is shown in Fig. 4.4.2.8, where the attenuation peaks due to the 00 re¯ections can be seen. Pyrolytic graphite serves as an ef®cient second- or third-order ®lter (Shapiro & Chesser, 1972) and can be `tuned' by slight misorientation away from the c axis. Further examples of typical ®lter materials (e.g. silicon, lead, bismuth, sapphire) can be found in the paper by Freund (1983). Resonant absorption ®lters show a large increase in their attenuation cross sections at the resonant energy and are therefore used as selective ®lters for that energy. A list of typical ®lter materials and their resonance energies is given in Table 4.4.2.3. 4.4.2.6. Polarizers Methods used to polarize a neutron beam are many and varied, and the choice of the best technique depends on the instrument and the experiment to be performed. The main parameter that has to be considered when describing the effectiveness of a given polarizer is the polarizing ef®ciency, de®ned as P ˆ …N‡

4.4.2.6.1. Single-crystal polarizers The principle by which ferromagnetic single crystals are used to polarize and monochromate a neutron beam simultaneously is shown in Fig. 4.4.2.9. A ®eld B, applied perpendicular to the scattering vector j, saturates the atomic moments M along the ®eld direction. The cross section for Bragg re¯ection in this geometry is … d= d † ˆ FN …j†2 ‡ 2FN …j†FM …j†…P
l† ‡ FM …j†2 ; …4:4:2:9†

Fig. 4.4.2.7. Total cross section for beryllium in the energy range where it can be used as a ®lter for neutrons with energy below 5 meV (Freund, 1983).

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…4:4:2:8†

where N‡ and N are the numbers of neutrons with spin parallel (‡) or antiparallel ( ) to the guide ®eld in the outgoing beam. The second important factor, the transmission of the wanted spin state, depends on various factors, such as acceptance angles, re¯ection, and absorption.

…4:4:2:7†

Here, abs is the true absorption cross section, which, at low energy, away from resonances, is proportional to E 1=2 . The temperature-dependent thermal diffuse cross section, tds , describing the attenuation due to inelastic processes, can be split into two parts depending on the neutron energy. At low energy, E  kb D , where kb is Boltzmann's constant and D is the characteristic Debye temperature, single-phonon processes dominate, giving rise to a cross section, sph , which is also proportional to E 1=2 . The single-phonon cross section is proportional to T 7=2 at low temperatures and to T at higher temperatures. At higher energies, E  kb D , multiphonon and multiple-scattering processes come into play, leading to a cross section, mph , that increases with energy and temperature. The third contribution, Bragg , arises due to Bragg scattering in single- or polycrystalline material. At low energies, below the Bragg cut-off (l > 2d max ), Bragg is zero. In polycrystalline materials, the cross section rises steeply above the Bragg cutoff and oscillates with increasing energy as more re¯ections come into play. At still higher energies, Bragg decreases to zero. In single-crystalline material above the Bragg cut-off, Bragg is characterized by a discrete spectrum of peaks whose heights and widths depend on the beam collimation, energy resolution, and the perfection and orientation of the crystal. Hence a monocrystalline ®lter has to be tuned by careful orientation. The resulting attenuation cross section for beryllium is shown in Fig. 4.4.2.7. Cooled polycrystalline beryllium is frequently used as a ®lter for neutrons with energies less than 5 meV, since there is an increase of nearly two orders of magnitude in the attenuation cross section for higher energies. BeO, with a Bragg cut-off at approximately 4 meV, is also commonly used.

N †=…N‡ ‡ N †;

4.4. NEUTRON TECHNIQUES Table 4.4.2.3. Characteristics of some typical elements and isotopes used as neutron ®lters

1 barn = 10

28

Element or isotope

Resonance (eV)

s (resonance) (barns)

l Ê …A†

s …l† (barns)

In Rh Hf 240 Pu Ir 229 Th Er Er Eu 231 Pa 239 Pu

1.45 1.27 1.10 1.06 0.66 0.61 0.58 0.46 0.46 0.39 0.29

30000 4500 5000 115000 4950 6200 1500 2300 10100 4900 5200

0.48 0.51 0.55 9.55 0.70 0.73 0.75 0.84 0.84 0.92 1.06

94 76 58 145 183 62.0 11.8 18.4 9.6 42.2 7.4

m2 .

where FN …j† P is the nuclear structure factor and FM …j† ˆ ‰… =2†r0 Š  M f …hkl† exp‰2…hx ‡ ky ‡ lz†Š is the magnetic structure factor, with f …hkl† the magnetic form factor of the magnetic atom at the position …x; y; z† in the unit cell. The vector P describes the polarization of the incoming neutron with respect to B; P ˆ 1 for ‡ spins and P ˆ 1 for spins and l is a unit vector in the direction of the atomic magnetic moments. Hence, for neutrons polarized parallel to B (P
l ˆ 1), the diffracted intensity is proportional to ‰FN …j† ‡ FM …j†Š2 , while, for neutrons polarized antiparallel to B (P
l ˆ 1), the diffracted intensity is proportional to ‰FN …j† FM …j†Š2 . The polarizing ef®ciency of the diffracted beam is then P ˆ 2FN …j†FM …j†=‰FN …j†2 ‡ FM …j†2 Š;

…4:4:2:10†

which can be either positive or negative and has a maximum value for jFN …j†j ˆ jFM …j†j. Thus, a good single-crystal polarizer, in addition to possessing a crystallographic structure in which FN and FM are matched, must be ferromagnetic at room temperature and should contain atoms with large magnetic moments. Furthermore, large single crystals with `controllable' mosaic should be available. Finally, the structure

Fig. 4.4.2.8. Energy-dependent cross section for a neutron beam incident along the c axis of a pyrolytic graphite ®lter. The attenuation peaks due to the 00 re¯ections can be seen.

factor for the required re¯ection should be high, while those for higher-order re¯ections should be low. None of the three naturally occurring ferromagnetic elements (iron, cobalt, nickel) makes ef®cient single-crystal polarizers. Cobalt is strongly absorbing and the nuclear scattering lengths of iron and nickel are too large to be balanced by their weak magnetic moments. An exception is 57 Fe, which has a rather low nuclear scattering length, and structure-factor matching can be achieved by mixing 57 Fe with Fe and 3% Si (Reed, Bolling & Harmon, 1973). In general, in order to facilitate structure-factor matching, alloys rather than elements are used. The characteristics of some alloys used as polarizing monochromators are presented in Table 4.4.2.4. At short wavelengths, the 200 re¯ection of Co0:92 Fe0:08 is used to give a positively polarized beam [FN …j† and FM …j† both positive], but the absorption due to cobalt is high. At longer wavelengths, the 111 re¯ection of the Heusler alloy Cu2 MnAl (Delapalme, Schweizer, Couderchon & Perrier de la Bathie, 1971; Freund, Pynn, Stirling & Zeyen, 1983) is commonly used, since it has a higher re¯ectivity and a larger d spacing than Co0:92 Fe0:08 . Since for the 111 re¯ection FN  FM , the diffracted beam is negatively polarized. Unfortunately, the structure factor of the 222 re¯ection is higher than that of the 111 re¯ection, leading to signi®cant higher-order contamination of the beam. Other alloys that have been proposed as neutron polarizers are Fe3 x Mnx Si, 7 Li0:5 Fe2:5 O4 (Bednarski, Dobrzynski & Steinsvoll, 1980), Fe3 Si (Hines et al., 1976), Fe3 Al (Pickart & Nathans, 1961), and HoFe2 (Freund & Forsyth, 1979).

Fig. 4.4.2.9. Geometry of a polarizing monochromator showing the lattice planes (hkl) with jFN j ˆ jFM j, the direction of P and l, the expected spin direction and intensity.

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4. PRODUCTION AND PROPERTIES OF RADIATIONS Table 4.4.2.4. Properties of polarizing crystal monochromators (Williams, 1988)

Matched re¯ection jFN j  jFM j Ê d spacing …A† Ê … † Take-off angle 2B at 1A Ê Cut-off wavelength, lmax …A†

Co0:92 Fe0:08

Cu2 MnAl

Fe3 Si

200 1.76 33.1 3.5

111 3.43 16.7 6.9

111 3.27 17.6 6.5

4.4.2.6.2. Polarizing mirrors For a ferromagnetic material, the neutron refractive index is given by n2 ˆ 1

l2 N…bcoh  p†=;

…4:4:2:11†

where the magnetic scattering length, p, is de®ned by p ˆ 2…B

H†m=h2 N:

…4:4:2:12†

Here, m and  are the neutron mass and magnetic moment, B is the magnetic induction in an applied ®eld H, and h is Planck's constant. The and ‡ signs refer, respectively, to neutrons whose moments are aligned parallel and antiparallel to B. The refractive index depends on the orientation of the neutron spin with respect to the ®lm magnetization, thus giving rise to two critical angles of total re¯ection, and ‡ . Thus, re¯ection in an angular range between these two critical angles gives rise to polarized beams in re¯ection and in transmission. The polarization ef®ciency, P, is de®ned in terms of the re¯ectivity r‡ and r of the two spin states, P ˆ …r‡

r †=…r‡ ‡ r †:

…4:4:2:13†

The ®rst polarizers using this principle were simple cobalt mirrors (Hughes & Burgy, 1950), while Schaerpf (1975) used FeCo sheets to build a polarizing guide. It is more common these days to use thin ®lms of ferromagnetic material deposited onto a substrate of low surface roughness (e.g. ¯oat glass or polished silicon). In this case, the re¯ection from the substrate can be eliminated by including an antire¯ecting layer made from, for example, Gd±Ti alloys (Drabkin et al., 1976). The major limitation of these polarizers is that grazing-incidence angles must be used and the angular range of polarization is small. This limitation can be partially overcome by using multilayers, as described above, in which one of the layer materials is ferromagnetic. In this case, the refractive index of the ferromagnetic material is matched for one spin state to that of the non-magnetic material, so that re¯ection does not occur. A polarizing supermirror made in this way has an extended angular range of polarization, as indicated in Fig. 4.4.2.10. It should be noted that modern deposition techniques allow the refractive index to be adjusted readily, so that matching is easily achieved. The scattering-length densities of some commonly used layer pairs are given in Table 4.4.2.5 Polarizing multilayers are also used in monochromators and broad-band devices. Depending on the application, various layer pairs have been used: Co/Ti, Fe/Ag, Fe/Si, Fe/Ge, Fe/W, FeCoV/TiN, FeCoV/TiZr, 63 Ni0:66 54 Fe0:34 /V and the range of ®elds used to achieve saturation varies from about 100 to 500 Gs. Polarizing mirrors can be used in re¯ection or transmission with polarization ef®ciencies reaching 97%, although, owing to the low incidence angles, their use is generally restricted to Ê wavelengths above 2 A. Various devices have been constructed that use mirror polarizers, including simple re¯ecting mirrors, V -shaped

Fe:Fe

HoFe2

110 2.03 28.6 4.1

620 1.16 50.9 2.3

transmission polarizers (Majkrzak, Nunez, Copley, Ankner & Greene, 1992), cavity polarizers (Mezei, 1988), and benders (Hayter, Penfold & Williams, 1978; Schaerpf, 1989). Perhaps the best known device is the polarizing bender developed by SchaÈrpf. The device consists of 0.2 mm thick glass blades coated on both sides with a Co/Ti supermirror on top of an antire¯ecting Gd/Ti coating designed to reduce the scattering of the unwanted spin state from the substrate to a very low Q value. The device is quite compact (typically 30 cm long for a beam cross section up to 6  5 cm) and transmits over 40% of an unpolarized beam with the collimation from a nickel-coated guide for wavelengths Ê . Polarization ef®ciencies of over 96% can be above 4.5 A achieved with these benders. 4.4.2.6.3. Polarizing ®lters Polarizing ®lters operate by selectively removing one of the neutron spin states from an incident beam, allowing the other spin state to be transmitted with only moderate attenuation. The spin selection is obtained by preferential absorption or scattering, so the polarizing ef®ciency usually increases with the thickness of the ®lter, whereas the transmission decreases. A compromise must therefore be made between polarization,pP,  and transmission, T . The `quality factor' often used is P T (Tasset & Resouche, 1995). The total cross sections for a generalized ®lter may be written as  ˆ 0  p ;

…4:4:2:14†

where 0 is a spin-independent cross section and p ˆ …‡ ‡  †=2 is the polarization cross section. It can be

Fig. 4.4.2.10. Measured re¯ectivity curve of an FeCoV/TiZr polarizing supermirror with an extended angular range of polarization of three times that of c (Ni) for neutrons without spin ¯ip, "", and with spin ¯ip, "#.

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57

4.4. NEUTRON TECHNIQUES Table 4.4.2.5. Scattering-length densities for some typical materials used for polarizing multilayers N…b ‡ p† Ê 2† …10 6 A

N…b p† Ê 2† …10 6 A

Fe

13.04

3.08

Fe:Co (50:50)

10.98

0.52

Ni Fe:Co:V (49:49:2)

10.86 10.75

7.94 0.63

Fe:Co:V (50:48:2)

10.66

0.64

Fe:Ni (50:50) Co Fe:Co:V (52:38:10)

10.53 6.65 6.27

6.65 2.00 2.12

Magnetic layer

…10

Nb 6 Ê 2 A †

Nonmagnetic layer

3.64 3.50 3.02 2.08 2.08 0.27 1.95

Ge Ag W Si Al V Ti

0.27 1.95 0.27 1.95

V Ti V Ti

1.95 2.08 2.08

Ti Si Al

For the non-magnetic layer we have only listed the simple elements that give a close match to the N…b p† value of the corresponding magnetic Ê 2 to be layer. In practice excellent matching can be achieved by using alloys (e.g. Tix Zry alloys allow Nb values between 1.95 and 3:03  10 6A selected) or reactive sputtering …e:g:TiNx †:

shown (Williams, 1988) that the ratio p =0 must be  0:65 to achieve jPj > 0:95 and T > 0:2: Magnetized iron was the ®rst polarizing ®lter to be used (Alvarez & Bloch, 1940). The method relies on the spindependent Bragg scattering from a magnetized polycrystalline block, for which p approaches 10 barns near the Fe cut-off at Ê (Steinberger & Wick, 1949). Thus, for wavelengths in the 4A Ê the ratio p =0 ' 0:59; resulting in a range 3.6 to 4 A, theoretical polarizing ef®ciency of 0.8 for a transmittance of  0:3. In practice, however, since iron cannot be fully saturated, depolarization occurs, and values of P ' 0:5 with T  0:25 are more typical. Resonance absorption polarization ®lters rely on the spin dependence of the absorption cross section of polarized nuclei at their nuclear resonance energy and can produce ef®cient polarization over a wide energy range. The nuclear polarization is normally achieved by cooling in a magnetic ®eld, and ®lters based on 149 Sm (Er ˆ 0:097 eV) (Freeman & Williams, 1978) and 151 Eu (Er ˆ 0:32 and 0:46 eV) have been successfully tested. The 149 Sm ®lter has a polarizing ef®ciency close to 1 within a Ê while the transmittance small wavelength range (0.85 to 1.1 A), is about 0.15. Furthermore, since the ®lter must be operated at temperatures of the order of 15 mK, it is very sensitive to heating by -rays. Broad-band polarizing ®lters, based on spin-dependent scattering or absorption, provide an interesting alternative to polarizing mirrors or monochromators, owing to the wider range of energy and scattering angle that can be accepted. The most promising such ®lter is polarized 3 He, which operates through the huge spin-dependent neutron capture cross section that is totally dominated by the resonance capture of neutrons with antiparallel spin. The polarization ef®ciency of an 3 He neutron spin ®lter of length l can be written as Pn …l† ˆ tanh‰O…l†PHe Š;

…4:4:2:15† 3

where PHe is the 3 He polarization, and O…l† ˆ ‰ HeŠl0 …l† is the dimensionless effective absorption coef®cient, also called the opacity (Surkau et al., 1997). For gaseous 3 He, the opacity can be written in more convenient units as

Ê O0 ˆ p‰barŠ  l ‰cmŠ  l‰AŠ;

where p is the 3 He pressure (1 bar ˆ 105 Pa) and O ˆ 7:33  10 2 O0 . Similarly, the residual transmission of the spin ®lter is given by Tn …l† ˆ exp‰ O…l†Š cosh‰O…l†PHe Š:

…4:4:2:17†

It can be seen that, even at low 3 He polarization, full neutron polarization can be achieved in the limit of large absorption at the cost of the transmission. 3 He can be polarized either by spin exchange with optically pumped rubidium (Bouchiat, Carver & Varnum, 1960; Chupp, Coulter, Hwang, Smith & Welsh, 1996; Wagshul & Chupp, 1994) or by pumping of metastable 3 He atoms followed by metastable exchange collisions (Colegrove, Schearer & Walters, 1963). In the former method, the 3 He gas is polarized at the required high pressure, whereas 3 He pumping takes place at a pressure of about 1 mbar, followed by a polarization conserving compression by a factor of nearly 10 000. Although the polarization time constant for Rb pumping is of the order of several hours compared with fractions of a second for 3 He pumping, the latter requires several `®lls' of the ®lter cell to achieve the required pressure. An alternative broad-band spin ®lter is the polarized proton ®lter, which utilizes the spin dependence of nuclear scattering. The spin-dependent cross section can be written as (Lushchikov, Taran & Shapiro, 1969) 2  3 PH ;  ˆ 1 ‡ 2 PH

…4:4:2:18†

where 1 , 2 ; and 3 are empirical constants. The viability of the method relies on achieving a high nuclear polarization PH . A polarization PH ˆ 0:7 gives p =0  0:56 in the coldneutron region. Proton polarizations of the order of 0.8 are required for a useful ®lter (Schaerpf & Stuesser, 1989). Polarized proton ®lters can polarize very high energy neutrons even in the eV range.

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…4:4:2:16†

4. PRODUCTION AND PROPERTIES OF RADIATIONS 4.4.2.7.2. Rotation of the polarization direction

4.4.2.6.4. Zeeman polarizer The re¯ection width of perfect silicon crystals for thermal neutrons and the Zeeman splitting (
E ˆ 2B) of a ®eld of about 10 kGs are comparable and therefore can be used to polarize a neutron beam. For a monochromatic beam (energy E0 ) in a strong magnetic ®eld region, the result of the Zeeman splitting will be a separation into two polarized subbeams, one polarized along B with energy E0 ‡ B, and the other polarized antiparallel to B with energy E0 B. The two polarized beams can be selected by rocking a perfect crystal in the ®eld region B (Forte & Zeyen, 1989). 4.4.2.7. Spin-orientation devices Polarization is the state of spin orientation of an assembly of particles in a target or beam. The beam polarization vector P is de®ned as the vector average of this spin state and is often described by the density matrix  ˆ 12 …1 ‡ P†. The polarization is then de®ned as P ˆ Tr…†. If the polarization vector is inclined to the ®eld direction in a homogenous magnetic ®eld, B, the polarization vector will precess with the classical Larmor frequency !L ˆ j jB. This results in a precessing spin polarization. For most experiments, it is suf®cient to consider the linear polarization vector in the direction of an applied magnetic ®eld. If, however, the magnetic ®eld direction changes along the path of the neutron, it is also possible that the direction of P will change. If the frequency, , with which the magnetic ®eld changes is such that

ˆ d…B=jBj†= dt  !L ;

…4:4:2:19†

then the polarization vector follows the ®eld rotation adiabatically. Alternatively, when  !L , the magnetic ®eld changes so rapidly that P cannot follow, and the condition is known as non-adiabatic fast passage. All spin-orientation devices are based on these concepts. 4.4.2.7.1. Maintaining the direction of polarization A polarized beam will tend to become depolarized during passage through a region of zero ®eld, since the ®eld direction is ill de®ned over the beam cross section. Thus, in order to keep the polarization direction aligned along a de®ned quantization axis, special precautions must be taken. The simplest way of maintaining the polarization of neutrons is to use a guide ®eld to produce a well de®ned ®eld B over the whole ¯ight path of the beam. If the ®eld changes direction, it has to ful®l the adiabatic condition  !L , i.e. the ®eld changes must take place over a time interval that is long compared with the Larmor period. In this case, the polarization follows the ®eld direction adiabatically with an angle of deviation
  2 arctan… =!L † (SchaÈrpf, 1980). Alternatively, some instruments (e.g. zero-®eld spin-echo spectrometers and polarimeters) use polarized neutron beams in regions of zero ®eld. The spin orientation remains constant in a zero-®eld region, but the passage of the neutron beam into and out of the zero-®eld region must be well controlled. In order to provide a well de®ned region of transition from a guide-®eld region to a zero-®eld region, a non-adiabatic fast passage through the windings of a rectangular input solenoid can be used, either with a toroidal closure of the outside ®eld or with a -metal closure frame. The latter serves as a mirror for the coil ends, with the effect of producing the ®eld homogeneity of a long coil but avoiding the ®eld divergence at the end of the coil.

The polarization direction can be changed by the adiabatic change of the guide-®eld direction so that the direction of the polarization follows it. Such a rotation is performed by a spin turner or spin rotator (SchaÈrpf & Capellmann, 1993; Williams, 1988). Alternatively, the direction of polarization can be rotated relative to the guide ®eld by using the property of precession described above. If a polarized beam enters a region where the ®eld is inclined to the polarization axis, then the polarization vector P will precess about the new ®eld direction. The precession angle will depend on the magnitude of the ®eld and the time spent in the ®eld region. By adjustment of these two parameters together with the ®eld direction, a de®ned, though wavelength-dependent, rotation of P can be achieved. A simple device uses the non-adiabatic fast passage through the windings of two rectangular solenoids, wound orthogonally one on top of the other. In this way, the direction of the precession ®eld axis is determined by the ratio of the currents in the two coils, and the sizes of the ®elds determine the angle ' of the precession. The orientation of the polarization vector can therefore be de®ned in any direction. In order to produce a continuous rotation of the polarization, i.e. a well de®ned precession, as required in neutron spin-echo (NSE) applications, precession coils are used. In the simplest case, these are long solenoids where the change of the ®eld integral over the cross section can be corrected by Fresnel coils (Mezei, 1972). More recently, Zeyen & Rem (1996) have developed and implemented optimal ®eld-shape (OFS) coils. The ®eld in these coils follows a cosine squared shape that results from the optimization of the line integral homogeneity. The OFS coils can be wound over a very small diameter, thereby reducing stray ®elds drastically. 4.4.2.7.3. Flipping of the polarization direction The term `¯ipping' was originally applied to the situation where the beam polarization direction is reversed with respect to a guide ®eld, i.e. it describes a transition of the polarization direction from parallel to antiparallel to the guide ®eld and vice versa. A device that produces this 180 rotation is called a  ¯ipper. A =2 ¯ipper, as the name suggests, produces a 90 rotation and is normally used to initiate precession by turning the polarization at 90 to the guide ®eld. The most direct wavelength-independent way of producing such a transition is again a non-adiabatic fast passage from the region of one ®eld direction to the region of the other ®eld direction. This can be realized by a current sheet like the Dabbs foil (Dabbs, Roberts & Bernstein, 1955), a Kjeller eight (Abrahams, Steinsvoll, Bongaarts & De Lange, 1962) or a cryo¯ipper (Forsyth, 1979). Alternatively, a spin ¯ip can be produced using a precession coil, as described above, in which the polarization direction makes a precession of just  about a direction orthogonal to the guide ®eld direction (Mezei, 1972). Normally, two orthogonally wound coils are used, where the second, correction, coil serves to compensate the guide ®eld in the interior of the precession coil. Such a ¯ipper is wavelength dependent and can be easily tuned by varying the currents in the coils. Another group of ¯ippers uses the non-adiabatic transition through a well de®ned region of zero ®eld. Examples of this type of ¯ipper are the two-coil ¯ipper of Drabkin, Zabidarov, Kasman & Okorokov (1969) and the line-shape ¯ipper of Korneev & Kudriashov (1981).

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4.4. NEUTRON TECHNIQUES Historically, the ®rst ¯ippers used were radio-frequency coils set in a homogeneous magnetic ®eld. These devices are wavelength dependent, but may be rendered wavelength independent by replacing the homogeneous magnetic ®eld with a gradient ®eld (Egorov, Lobashov, Nazarento, Porsev & Serebrov, 1974). In some devices, the ¯ipping action can be combined with another selection function. The wavelength-dependent magnetic wiggler ¯ipper proposed by Agamalyan, Drabkin & Sbitnev (1988) in combination with a polarizer can be used as a polarizing monochromator (Majkrzak & Shirane, 1982). Badurek & Rauch (1978) have used ¯ippers as choppers to pulse a polarized beam. In neutron resonance spin echo (NRSE) (GaÈhler & Golub, 1987), the precession coil of the conventional spin-echo con®guration is replaced by two resonance spin ¯ippers separated by a large zero-®eld region. The radio-frequency ®eld of amplitude B1 is arranged orthogonal to the DC ®eld, B0 , with a frequency ! ˆ !L , and an amplitude de®ned by the relation !1  ˆ , where  is the ¯ight time in the ¯ipper coil and !1 ˆ B1 . In this con®guration, the neutron spin precesses through an angle  about the resonance ®eld in each coil and leaves the coil with a phase angle '. The total phase angle after passing through both coils, ' ˆ 2!L=v, depends on the velocity v of the neutron and the separation L between the two coils. Thus, compared with conventional NSE, where the phase angle comes from the precession of the neutron spin in a strong magnetic ®eld compared with a static ¯ipper ®eld, in NRSE the neutron spin does not precess, but the ¯ipper ®eld rotates. Effectively, the NRSE phase angle ' is a factor of two larger than the NSE phase angle for the same DC ®eld B0 . Furthermore, the resolution is determined by the precision of the RF frequencies and the zero-®eld ¯ight path L rather than the homogeneity of the line integral of the ®eld in the NSE precession coil.

single slit with a series of slits either in a regular sequence (Fourier chopper) (Colwell, Miller & Whittemore, 1968; HiismaÈki, 1997) or a pseudostatistical sequence (pseudostatistical chopper) (Hossfeld, Amadori & Scherm, 1970), with duty cycles of 50 and 30%, respectively. The Fermi chopper is an alternative form of neutron chopper that simultaneously pulses and monochromates the incoming beam. It consists of a slit package, essentially a collimator, rotating about an axis that is perpendicular to the beam direction (Turchin, 1965). For optimum transmission at the required wavelength, the slits are usually curved to provide a straight collimator in the neutron frame of reference. The curvature also eliminates the `reverse burst', i.e. a pulse of neutrons that passes when the chopper has rotated by 180 . A Fermi chopper with straight slits in combination with a monochromator assembly of wide horizontal divergence can be used to time focus a polychromatic beam, thus maintaining the energy resolution while improving the intensity (Blanc, 1983). Velocity selectors are used when a continuous beam is required with coarse energy resolution. They exist in either multiple disc con®gurations or helical channels rotating about an axis parallel to the beam direction (Dash & Sommers, 1953). Modern helical channel selectors are made up of lightweight absorbing blades slotted into helical grooves on the rotation axis (Wagner, Friedrich & Wille, 1992). At higher energies where no suitable absorbing material is available, highly scattering polymers [poly(methyl methacrylate)] can be used for the blades, although in this case adequate shielding must be provided. The neutron wavelength is determined by the rotation speed, and resolutions,
l=l, ranging from 5% to practically 100% (l=2 ®lter) can be achieved. The resolution is ®xed by the geometry of the device, but can be slightly improved by tilting the rotation axis or relaxed by rotating in the reverse direction for shorter wavelengths. Transmissions of up to 94% are typical.

4.4.2.8. Mechanical choppers and selectors Ê neutron Thermal neutrons have relatively low velocities (a 4 A has a reciprocal velocity of approximately 1000 ms m 1 ), so that mechanical selection devices and simple ¯ight-time measurements can be used to make accurate neutron energy determinations. Disc choppers rotating at speeds up to 20 000 revolutions per minute about an axis that is parallel to the neutron beam are used to produce a well de®ned pulse of neutrons. The discs are made from absorbing material (at least where the beam passes) and comprise one or more neutron-transparent apertures or slits. For polarized neutrons, these transparent slits should not be metallic, as the eddy currents in the metal moving in even a weak guide ®eld will strongly depolarize the beam. The pulse frequency is determined by the number of apertures and the rotation frequency, while the duty cycle is given by the ratio of open time to closed time in one rotation. Two such choppers rotating in phase can be used to monochromate and pulse a beam simultaneously (Egelstaff, Cocking & Alexander, 1961). In practice, more than two choppers are generally used to avoid frame overlap of the incident and scattered beams. The time resolution of disc choppers (and hence the energy resolution of the instrument) is determined by the beam size, the aperture size and the rotation speed. For a realistic beam size, the rotation speed limits the resolution. Therefore, in modern instruments, it is normal to replace a single chopper with two counter-rotating choppers (Hautecler et al., 1985; Copley, 1991). The low duty cycle of a simple disc chopper can be improved by replacing the

4.4.3. Resolution functions (By R. Pynn and J. M. Rowe) In a Gedanken neutron scattering experiment, neutrons of wavevector kI impinge on a sample and the wavevector, kF , of the scattered neutrons is determined. A number of different types of spectrometer are used to achieve this goal (cf. Pynn, 1984). In each case, ®nite instrumental resolution is a result of uncertainties in the de®nition of kI and kF . Propagation directions for neutrons are generally de®ned by Soller collimators for which the transmission as a function of divergence angle generally has a triangular shape. Neutron monochromatization may be achieved either by Bragg re¯ection from a (usually) mosaic crystal or by a time-of-¯ight method. In the former case, the mosaic leads to a spread of jkI j while, in the latter, pulse length and uncertainty in the lengths of ¯ight paths (including sample size and detector thickness) produce a similar effect. Calculations of instrumental resolution are generally lengthy and lack of space prohibits their detailed presentation here. In the following paragraphs, the concepts involved are indicated and references to original articles are provided. In resolution calculations for neutron spectrometers, it is usually assumed that the uncertainty of the neutron wavevector does not vary spatially across the neutron beam, although this reasoning may not apply to the case of small samples and compact spectrometers. To calculate the resolution of the spectrometer in the large-beam approximation, one writes the measured intensity I as

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I/

R

3

d ki

R

4. PRODUCTION AND PROPERTIES OF RADIATIONS 3

d kf Pi …ki †S…ki ! kf †Pf …kf †;

where Pi …ki † is the probability that a neutron of wavevector ki is incident on the sample, Pf …kf † is the probability that a neutron of wavevector kf is transmitted by the analyser system and S…ki ! kf † is the probability that the sample scatters a neutron from ki to kf . The ¯uctuation spectrum of the sample, S…ki ! kf †, does not depend separately on ki and kf but rather on the scattering vector Q and energy transfer h! de®ned by the conservation equations Q ˆ ki

kf ;

h! ˆ

h2 2 …k 2m i

kf2 †;

M ˆ …A†

…4:4:3:1†

…4:4:3:2†

where m is the neutron mass. A number of methods of calculating the distribution functions Pi …ki † and Pf …kf † have been proposed. The method of independent distributions was used implicitly by Stedman (1968) and in more detail by Bjerrum Mùller & Nielson (MN) (Nielsen & Bjerrum Mùller, 1969; Bjerrum Mùller & Nielsen, 1970) for three-axis spectrometers. Subsequently, the method has been extended to perfect-crystal monochromators (Pynn, Fujii & Shirane, 1983) and to time-of-¯ight spectrometers (Steinsvoll, 1973; Robinson, Pynn & Eckert, 1985). The method involves separating Pi and Pf into a product of independent distribution functions each of which can be convolved separately with the ¯uctuation spectrum S…Q; !† [cf. equation (4.4.3.1)]. Extremely simple results are obtained for the widths of scans through a phonon dispersion surface for spectrometers where the energy of scattered neutrons is analysed (Nielson & Bjerrum Mùller, 1969). For diffractometers, the width of a scan through a Bragg peak may also be obtained (Pynn et al., 1983), yielding a result equivalent to that given by Caglioti, Paoletti & Ricci (1960). In this case, however, the singular nature of the Bragg scattering process introduces a correlation between the distribution functions that contribute to Pi and Pf and the calculation is less transparent than it is for phonons. A somewhat different approach, which does not explicitly separate the various contributions to the resolution, was proposed by Cooper & Nathans (CN) (Cooper & Nathans, 1967, 1968; Cooper, 1968). Minor errors were corrected by several authors (Werner & Pynn, 1971; Chesser & Axe, 1973). The CN method calculates the instrumental resolution function R…Q Q0 ; ! !0 † as P M X X ; …4:4:3:3† R…
Q;
!† ˆ R0 exp 12 ;

where X1 , X2 ; and X3 are the three components of
Q, X4 ˆ
!, and Q0 and !0 are obtained from (4.4.3.2) by replacing ki and kf by kI and kF , respectively. The matrix M is given in explicit form by several authors (Cooper & Nathans, 1967, 1968; Cooper, 1968; Werner & Pynn, 1971; Chesser & Axe, 1973) and the normalization R0 has been discussed in detail by Dorner (1972). [A refutation (Tindle, 1984) of Dorner's work is incorrect.] Equation (4.4.3.3) implies that contours of constant transmission for the spectrometer ‰R…
Q;
!† ˆ constantŠ are ellipsoids in the four-dimensional Q±! space. Optimum resolution (focusing) is achieved by a scan that causes the resolution function to intersect the feature of interest in S…Q; !† (e.g. Bragg peak or phonon dispersion surface) for the minimum scan interval. The optimization of scans for a diffractometer has been considered by Werner (1971). The MN and CN methods are equivalent. Using the MN formalism, it can be shown that

with

A ˆ

P j

 j  j ;

…4:4:3:4†

where the j are the components of the standard deviations of independent distributions (labelled by index j) de®ned by Bjerrum Mùller & Nielsen (1970). In the limit Q ! 0, the matrices M and A are of rank three and other methods must be used to calculate the resolution ellipsoid (Mitchell, Cowley & Higgins, 1984). Nevertheless, the MN method may be used even in this case to calculate widths of scans. To obtain the resolution function of a diffractometer (in which there is no analysis of scattered neutron energy) from the CN form for M, it is suf®cient to set to zero those contributions that arise from the mosaic of the analyser crystal. For elastic Bragg scattering, the problem is further simpli®ed because X4 [cf. equation (4.4.3.3)] is zero. The spectrometer resolution function is then an ellipsoid in Q space. For the measurement of integrated intensities (of Bragg peaks for example), the normalization R0 in (4.4.3.3) is required in order to obtain the Lorentz factor. The latter has been calculated for an arbitrary scan of a three-axis spectrometer (Pynn, 1975) and the results may be modi®ed for a diffractometer as described in the preceding paragraph.

4.4.4. Scattering lengths for neutrons (By V. F. Sears) The use of neutron diffraction for crystal-structure determinations requires a knowledge of the scattering lengths and the corresponding scattering and absorption cross sections of the elements and, in some cases, of individual isotopes. This information is needed to calculate unit-cell structure factors and to correct for effects such as absorption, self-shielding, extinction, thermal diffuse scattering, and detector ef®ciency (Bacon, 1975; Sears, 1989). Table 4.4.4.1 lists the best values of the neutron scattering lengths and cross sections that are available at the time of writing (January 1995). We begin by summarizing the basic relationships between the scattering lengths and cross sections of the elements and their isotopes that have been used in the compilation of this table. More background information can be found in, for example, the book by Sears (1989). 4.4.4.1. Scattering lengths The scattering of a neutron by a single bound nucleus is described within the Born approximation by the Fermi pseudopotential,   2h2 b…r†; …4:4:4:1† V …r† ˆ m in which r is the position of the neutron relative to the nucleus, m the neutrons mass, and b the bound scattering length. The neutron has spin s and the nucleus spin I so that, if I 6ˆ 0, the Fermi pseudopotential and, hence, the bound scattering length will be spin dependent. Since s ˆ 1=2, the most general rotationally invariant expression for b is 2bi  s
I; b ˆ bc ‡ p I…I ‡ 1†

…4:4:4:2†

in which the coef®cients bc and bi are called the bound coherent and incoherent scattering lengths. If I ˆ 0, then bi ˆ 0 by convention.

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1

4.4. NEUTRON TECHNIQUES Table 4.4.4.1. Bound scattering lengths, b, in fm and cross sections, , in barns (1 barn = 100 fm2 ) of the elements and their isotopes Z: atomic number; A: mass number; I…†: spin (parity) of the nuclear ground state; c: % natural abundance (for radioisotopes, the half-life is given instead in annums); bc : bound coherent scattering length; bi : bound incoherent scattering length; c : bound coherent scattering cross section; i : 1 bound incoherent scattering cross section; s : total p bound scattering cross section; a : absorption cross section for 2200 m s neutrons (E = 1 Ê Ê 1. 25.30 meV, k = 3.494 A , l = 1.798 A); i = Element Z H

1

He

2

Li

3

Be

4

B

5

C

6

N

7

O

8

F

9

Ne

10

Na

11

Mg

12

Al

13

Si

14

P

15

S

16

A

I…†

c

1 2 3

1/2(+) 1(+) 1/2(+)

3

1/2(+)

0.00014

4

0(+)

99.99986

6

1(+)

7.5

7

3/2( )

92.5

9

3/2( )

99.985 0.015 (12.32a)

100

bc 3.7390(11) 3.7406(11) 6.671(4) 4.792(27) 3.26(3) 5.74(7) 1.483(2)i 3.26(3)

bi 25.274(9) 4.04(3) 1.04(17) 2.5(6) +2.568(3)i 0

0

1.34(2)

0

0.0454(3)

7.79(1)

0.12(3)

7.63(2)

0.0018(9)

7.63(2)

0.0076(8)

3.54(5)

1.70(12)

5.24(11)

0.144(8)

3.0(4)

3.1(4)

5.56(7)

0.22(6)

5.78(9)

0.0055(33)

5.550(2) 5.559(3) 4.81(14)

0.001(4) 0 0.034(12)

5.551(3) 5.559(3) 4.84(14)

0.00350(7) 0.00353(7) 0.00137(4)

0(+) 1/2( )

98.90 1.10

6.6460(12) 6.6511(16) 6.19(9)

0 0.52(9)

14 15

1(+) 1/2( )

99.63 0.37

9.36(2) 9.37(2) 6.44(3)

2.0(2) 0.02(2)

16 17 18

0(+) 5/2(+) 0(+)

99.762 0.038 0.200

5.803(4) 5.803(4) 5.78(12) 5.84(7)

0 0.18(6) 0

19

1/2(+)

5.654(10)

0.082(9)

20 21 22

0(+) 3/2(+) 0(+)

23

3/2(+)

24 25 26

0(+) 5/2(+) 0(+)

27

5/2(+)

28 29 30

0(+) 1/2(+) 0(+)

31

1/2(+)

32 33 34 36

0(+) 3/2(+) 0(+) 0(+)

4.566(6) 4.631(6) 6.66(19) 3.87(1)

4.7(3) 1.231(3)i 1.3(2)

0 0.6(1) 0

11.01(5) 11.03(5) 5.21(5)

70.5(3) 940.(4.)

767.(8.) 3835.(9.)

0.50(12) 11.51(11) 0.5(1) 11.53(11) 0.00005(10) 5.21(5)

1.90(3) 1.91(3) 0.000024(8)

4.232(6) 4.232(6) 4.20(22) 4.29(10)

0.000(8) 0 0.004(3) 0

4.232(6) 4.232(6) 4.20(22) 4.29(10)

0.00019(2) 0.00010(2) 0.236(10) 0.00016(1)

4.017(17)

0.0008(2)

4.018(14)

0.0096(5)

2.620(7) 2.695(7) 5.6(3) 1.88(1)

0.008(9) 0 0.05(2) 0

2.628(6) 2.695(7) 5.7(3) 1.88(1)

0.039(4) 0.036(4) 0.67(11) 0.046(6)

3.63(2)

3.59(3)

1.66(2)

1.62(3)

3.28(4)

0.530(5)

5.375(4) 5.66(3) 3.62(14) 4.89(15)

0 1.48(10) 0

3.631(5) 4.03(4) 1.65(13) 3.00(18)

0.08(6) 0 0.28(4) 0

3.71(4) 4.03(4) 1.93(14) 3.00(18)

0.063(3) 0.050(5) 0.19(3) 0.0382(8)

3.449(5)

0.256(10)

1.495(4)

0.0082(7)

1.503(4)

0.231(3)

4.1491(10) 4.107(6) 4.70(10) 4.58(8)

0 0.09(9) 0

2.1633(10) 2.120(6) 2.78(12) 2.64(9)

0.004(8) 0 0.001(2) 0

2.167(8) 2.120(6) 2.78(12) 2.64(9)

0.171(3) 0.177(3) 0.101(14) 0.107(2)

5.13(1)

0.2(2)

3.307(13)

0.005(10)

3.312(16)

0.172(6)

2.847(1) 2.804(2) 4.74(19) 3.48(3) 3.(1.) E

0 1.5(1.5) 0 0

1.0186(7) 0.9880(14) 2.8(2) 1.52(3) 1.1(8)

0.007(5) 0 0.3(6) 0 0

1.026(5) 0.9880(14) 3.1(6) 1.52(3) 1.1(8)

0.53(1) 0.54(4) 0.54(4) 0.227(5) 0.15(3)

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21 s:\ITFC\CH-4-4.3d (Tables of Crystallography)

1.34(2)

0.00747(1) 5333.(7.)

1.40(3)

12 13

95.02 0.75 4.21 0.02

1.34(2) 6.0(4)

0.78(3)

80.0

100

0.00 1.6(4)

0.619(11)

3/2( )

92.23 4.67 3.10

1.34(2) 4.42(10)

0.3326(7) 0.3326(7) 0.000519(7) 0

1.37(3) 0.97(7)

11

100

82.02(6) 82.03(6) 7.64(3) 3.03(5)

0.92(3) 0.46(2)

20.0

78.99 10.00 11.01

80.26(6) 80.27(6) 2.05(3) 0.14(4)

1.7568(10) 1.7583(10) 5.592(7) 2.89(3)

a

0.454(14) 0.51(5)

3(+)

100

s

1.89(5) 0.257(11)i 2.49(5)

10

90.51 0.27 9.22

i

1.90(2) 2.00(11) 0.261(1)i 2.22(2)

5.30(4) 0.213(2)i 0.1(3) 1.066(3)i 6.65(4)

100

c

4. PRODUCTION AND PROPERTIES OF RADIATIONS Table 4.4.4.1. Bound scattering lengths (cont.) Element Z Cl

17

Ar

18

K

19

Ca

20

Sc

21

Ti

22

V

23

Cr

24

Mn

25

Fe

26

Co

27

Ni

28

Cu

29

Zn

30

A

I…†

c

bc

35 37

3/2(+) 3/2(+)

75.77 24.23

9.5770(8) 11.65(2) 3.08(6)

6.1(4) 0.1(1)

11.526(2) 17.06(6) 1.19(5)

5.3(5) 4.7(6) 0.001(3)

16.8(5) 21.8(6) 1.19(5)

33.5(3) 44.1(4) 0.433(6)

36 38 40

0(+) 0(+) 0(+)

0.337 0.063 99.600

1.909(6) 24.90(7) 3.5(3.5) 1.830(6)

0 0 0

0.458(3) 77.9(4) 1.5(3.1) 0.421(3)

0.22(2) 0 0 0

0.683(4) 77.9(4) 1.5(3.1) 0.421(3)

0.675(9) 5.2(5) 0.8(2) 0.660(9)

39 40 41

3/2(+) 4( ) 3/2(+)

93.258 0.012 6.730

3.67(2) 3.74(2) 3.(1.) E 2.69(8)

1.5(1.5)

1.69(2) 1.76(2) 1.1(8) 0.91(5)

0.27(11) 0.25(11) 0.5(5) 0.3(6)

1.96(11) 2.01(11) 1.6(9) 1.2(6)

40 42 43 44 46 48

0(+) 0(+) 7/2( ) 0(+) 0(+) 0(+)

96.941 0.647 0.135 2.086 0.004 0.187

4.70(2) 4.80(2) 3.36(10) 1.56(9) 1.42(6) 3.6(2) 0.39(9)

0 0 0.31(4) 0 0 0

2.78(2) 2.90(2) 1.42(8) 0.5(5) E 0.25(2) 1.6(2) 0.019(9)

0.05(3) 0 0

2.83(2) 2.90(2) 1.42(8) 0.8(5) 0.25(2) 1.6(2) 0.019(9)

45

7/2( )

12.29(11)

6.0(3)

46 47 48 49 50

0(+) 5/2( ) 0(+) 7/2( ) 0(+)

8.2 7.4 73.8 5.4 5.2

3.370(13) 4.725(5) 3.53(7) 5.86(2) 0.98(5) 5.88(10)

50 51

6(+) 7/2( )

0.250 99.750

50 52 53 54

0(+) 0(+) 3/2( ) 0(+)

4.35 83.79 9.50 2.36

55

5/2( )

54 56 57 58

0(+) 0(+) 1/2( ) 0(+)

59

7/2( )

58 60 61 62 64

0(+) 0(+) 3/2( ) 0(+) 0(+)

63 65 64 66 67 68 70

100

100

bi

1.4(3)

4.5(5)

23.5(6)

a

2.1(1) 2.1(1) 35.(8.) 1.46(3) 0.43(2) 0.41(2) 0.68(7) 6.2(6) 0.88(5) 0.74(7) 1.09(14) 27.5(2)

2.63(3) 0 1.5(2) 0 3.3(3) 0

4.06(3) 2.80(6) 3.1(2) 4.32(3) 3.4(3) 4.34(15)

0.3824(12) 7.6(6) 0.402(2)

6.435(4)

0.01838(12) 7.3(1.1) 0.0203(2)

5.08(6) 0.5(5) E 5.07(6)

5.10(6) 7.8(1.0) 5.09(6)

5.08(2) 60.(40.) 4.9(1)

3.635(7) 4.50(5) 4.920(10) 4.20(3) 4.55(10)

0 0 6.87(10) 0

1.660(6) 2.54(6) 3.042(12) 2.22(3) 2.60(11)

1.83(2) 0 0 5.93(17) 0

3.49(2) 2.54(6) 3.042(12) 8.15(17) 2.60(11)

3.05(8) 15.8(2) 0.76(6) 18.1(1.5) 0.36(4)

3.750(18)

1.79(4)

1.77(2)

0.40(2)

2.17(3)

13.3(2)

11.22(5) 2.2(1) 12.42(7)

0.40(11) 0 0 0.3(3) E 0

11.62(10) 2.2(1) 12.42(7) 1.0(3) 28.(26.)

2.49(2)

6.2(2)

68.27 26.10 1.13 3.59 0.91

10.3(1) 14.4(1) 2.8(1) 7.60(6) 8.7(2) 0.37(7)

0 0 3.9(3) 0 0

3/2( ) 3/2( )

69.17 30.83

7.718(4) 6.43(15) 10.61(19)

0(+) 0(+) 5/2( ) 0(+) 0(+)

48.6 27.9 4.1 18.8 0.6

5.60(5) 5.22(4) 5.97(5) 7.56(8) 6.03(3) 6.(1.) E

28.(26.) 0.779(13)

6.43(6) 0.59(18) 1.7(2) 8.30(9) 2.2(3) 0.179(3)

2.56(3) 2.25(18) 2.59(14) 2.48(30) 1.28(5)

4.8(3)

5.6(3)

37.18(6)

13.3(3) 26.1(4) 0.99(7) 7.26(11) 9.5(4) 0.017(7)

5.2(4) 0 0 1.9(3) 0 0

18.5(3) 26.1(4) 0.99(7) 9.2(3) 9.5(4) 0.017(7)

4.49(16) 4.6(3) 2.9(2) 2.5(8) 14.5(3) 1.52(3)

0.22(2) 1.79(10)

7.485(8) 5.2(2) 14.1(5)

0.55(3) 0.006(1) 0.40(4)

8.03(3) 5.2(2) 14.5(5)

3.78(2) 4.50(2) 2.17(3)

0 0 1.50(7) 0 0

4.054(7) 3.42(5) 4.48(8) 7.18(15) 4.57(5) 4.5(1.5)

0.077(7) 0 0 0.28(3) 0 0

446

22 s:\ITFC\CH-4-4.3d (Tables of Crystallography)

0 0 0

s

1.427(11) 2.80(6) 1.57(6) 4.32(3) 0.12(1) 4.34(15)

0 0 0.66(6) 0

100

19.0(3)

i

0 3.5(2) 0 5.1(2) 0

9.45(2) 4.2(1) 9.94(3) 2.3(1) 15.(7.)

5.8 91.7 2.2 0.3

c

4.131(10) 3.42(5) 4.48(8) 7.46(15) 4.57(5) 4.5(1.5)

1.11(2) 0.93(9) 0.62(6) 6.8(8) 1.1(1) 0.092(5)

4.4. NEUTRON TECHNIQUES Table 4.4.4.1. Bound scattering lengths (cont.) Element Z Ga

31

Ge

32

As

33

Se

34

Br

35

Kr

36

Rb

37

Sr

38

Y

39

Zr

40

Nb

41

Mo

42

Tc

43

A

I…†

c

bc

69 71

3/2( ) 3/2( )

60.1 39.9

7.288(2) 7.88(2) 6.40(3)

0.85(5) 0.82(4)

70 72 73 74 76

0(+) 0(+) 9/2(+) 0(+) 0(+)

20.5 27.4 7.8 36.5 7.8

8.185(20) 10.0(1) 8.51(10) 5.02(4) 7.58(10) 8.21(1.5)

0 0 3.4(3) 0 0

8.42(4) 12.6(3) 9.1(2) 3.17(5) 7.2(2) 8.(3.)

75

3/2( )

6.58(1)

0.69(5)

5.44(2)

74 76 77 78 80 82

0(+) 0(+) 1/2( ) 0(+) 0(+) 0(+)

0.9 9.0 7.6 23.5 49.6 9.4

7.970(9) 0.8(3.0) 12.2(1) 8.25(8) 8.24(9) 7.48(3) 6.34(8)

0 0 0.6(1.6) 0 0 0

79 81

3/2( ) 3/2( )

50.69 49.31

1.1(2) 0.6(1)

78 80 82 83 84 86

0(+) 0(+) 0(+) 9/2(+) 0(+) 0(+)

0.35 2.25 11.6 11.5 57.0 17.3

8.1(2)

85 87

5/2( ) 3/2( )

72.17 27.83

7.09(2) 7.03(10) 7.23(12)

84 86 87 88

0(+) 0(+) 9/2(+) 0(+)

0.56 9.86 7.00 82.58

89

1/2( )

90 91 92 94 96

0(+) 5/2(+) 0(+) 0(+) 0(+)

93

9/2(+)

92 94 95 96 97 98 100

0(+) 0(+) 5/2(+) 0(+) 5/2(+) 0(+) 0(+)

14.84 9.25 15.92 16.68 9.55 24.13 9.63

99

9/2(+)

(2.13105 a) 6.8(3)

100

100 51.45 11.32 17.19 17.28 2.76 100

6.795(15) 6.80(7) 6.79(7) 7.81(2)

bi

0 0 0 185.(30.) 0 0

6.675(4) 7.80(4) 5.15(5)

i 0.16(3) 0.091(11) 0.084(8) 0.18(7) 0 0 1.5(3) 0 0

s 6.83(3) 7.89(4) 5.23(5)

a 2.75(3) 2.18(5) 3.61(10)

8.60(6) 12.6(3) 9.1(2) 4.7(3) 7.2(2) 8.(3.)

2.20(4) 3.0(2) 0.8(2) 15.1(4) 0.4(2) 0.16(2)

0.060(10)

5.50(2)

4.5(1)

7.98(2) 0.1(6) 18.7(3) 8.6(2) 8.5(2) 7.03(6) 5.05(13)

0.33(6) 0 0 0.05(26) 0 0 0

8.30(6) 0.1(6) 18.7(3) 8.65(16) 8.5(2) 7.03(6) 5.05(13)

11.7(2) 51.8(1.2) 85.(7.) 42.(4.) 0.43(2) 0.61(5) 0.044(3)

5.80(3) 5.81(12) 5.79(12)

0.10(9) 0.15(6) 0.05(2)

5.90(9) 5.96(13) 5.84(12)

6.9(2) 11.0(7) 2.7(2)

7.67(4)

0.01(14) 0 0 0

7.68(13)

25.(1.) 6.4(9) 11.8(5) 29.(20.)

8.2(4)

0 0

8.2(4)

0.113(15) 0.003(2)

6.2(2) 6.6(2)

6.32(4) 0.5(5) 0.5(5)

0.5(4) E E

6.8(4) 6.7(5) 7.1(5)

0.38(4) 0.48(1) 0.12(3)

7.02(2) 7.(1.) E 5.67(5) 7.40(7) 7.15(6)

0 0 6.88(13) 0

6.19(4) 6.(2.) 4.04(7) 0.5(5) 6.42(11)

0.06(11) 0 0 E 0

6.25(10) 6.(2.) 4.04(7) 7.4(5) 6.42(11)

1.28(6) 0.87(7) 1.04(7) 16.(3.) 0.058(4)

7.75(2)

1.1(3)

7.55(4)

0.15(8)

7.70(9)

1.28(2)

7.16(3) 6.4(1) 8.7(1) 7.4(2) 8.2(2) 5.5(1)

0 1.08(15) 0 0 0

6.44(5) 5.1(2) 9.5(2) 6.9(4) 8.4(4) 3.8(1)

0.02(15) 0 0.15(4) 0 0 0

6.46(14) 5.1(2) 9.7(2) 6.9(4) 8.4(4) 3.8(1)

0.185(3) 0.011(5) 1.17(10) 0.22(6) 0.0499(24) 0.0229(10)

7.054(3)

0.139(10)

6.253(5)

0.0024(3)

6.255(5)

1.15(5)

6.715(2) 6.91(8) 6.80(7) 6.91(6) 6.20(6) 7.24(8) 6.58(7) 6.73(7)

0 0 6.00(10) 0 6.59(15) 0 0

5.67(3) 6.00(14) 5.81(12) 0.5(5) 4.83(9) 0.5(5) 5.44(12) 5.69(12)

0.04(5) 0 0 E 0 E 0 0

5.71(4) 6.00(14) 5.81(12) 6.5(5) 4.83(9) 7.1(5) 5.44(12) 5.69(12)

2.48(4) 0.019(2) 0.015(2) 13.1(3) 0.5(2) 2.5(2) 0.127(6) 0.4(2)

5.8(5)

0.5(5)

E

6.3(7)

20.(1.)

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23 s:\ITFC\CH-4-4.3d (Tables of Crystallography)

c

4. PRODUCTION AND PROPERTIES OF RADIATIONS Table 4.4.4.1. Bound scattering lengths (cont.) Element Z Ru

44

Rh

45

Pd

46

Ag

47

Cd

48

In

Sn

A

I…†

c

bc

96 98 99 100 101 102 104

0(+) 0(+) 5/2(+) 0(+) 5/2(+) 0(+) 0(+)

5.5 1.9 12.7 12.6 17.0 31.6 18.7

7.03(3) 0 0 6.9(1.0) 0 3.3(9) 0 0

103

1/2( )

102 104 105 106 108 110

0(+) 0(+) 5/2(+) 0(+) 0(+) 0(+)

107 109

1/2( ) 1/2( )

Sb

51

Te

52

c

i

s

a

0.4(1)

6.6(1)

2.56(13)

0 0

6.21(5) 0.28(2) 100 owing to the large photon energy and the values of 2 , 3 ; . . . ; s are considered to be less than 100, the photon noise p as a standard deviation of Sp is given by (Arcese, 1964)  p ˆ s s

1

. . . 1 …q  p 2 t†1=2 :

…7:1:7:2†

Fig. 7.1.7.1. Schematic illustration of an X-ray sensing Saticon camera tube. …a† Schematic representation of the tube. …b† Structure of the target. …c† Concentration (wt%) of As in the target (Se±As photoconductive layer). Since crystalline Se is metallic, As acts to stabilize the amorphous state. …d† Potential in the target. A blocking contact is formed between the X-ray window material and the Se±As alloy layer to prevent holes from ¯owing into the layer. Incident X-rays form electrons and holes in the layer, and the latter migrate toward the scanning-electron-beam side and contribute to the video signal. On the surface of the Se±As layer, Sb2 S3 was evaporated to form another blocking contact that improves landing characteristics of the electron beam. By applying a high voltage on the layer, the holes are accelerated to produce multiplication (avalanche ampli®cation), resulting in a great increase of the signal current.

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634 s:\ITFC\chap-7.1.3d (Tables of Crystallography)

7. MEASUREMENT OF INTENSITIES In order to recognize the defect image in the perfect region, the signal-to-noise ratio (SNR) RI of the image must be RI  …Sd

Sp †=p ˆ C…q p t†1=2  ;

…7:1:7:3†

where Sd ˆ signal height of the defect image, C ˆ contrast of the defect image, C ˆ …Sd Sp †=Sp ; and  ˆ threshold SNR of 1±5 (Rose, 1948). Sensitivity is expressed by the intensity required for a certain signal height to the noise height of the imaging system and is proportional to the value of q1 . . . s . As is seen from (7.1.7.3), however, the ratio of the signal to the photon noise depends only on the absorption ef®ciency q. For example, a 100 mm thick silicon-diode array (Rozgonyi, Haszlo & Statile, 1970) and 15 mm thick lead oxide camera tubes (Chikawa, 1974) have similar sensitivities for Mo K radiation, but q ˆ 0:15 and q ˆ 0:6, respectively; the former obtains the sensitivity with a higher conversion ef®ciency …1 2 . . . s ) of absorbed photon energy and gives a …0:15=0:6†1=2 ˆ 0:5 times lower SNR. It is clear from the foregoing discussion that imaging systems should be evaluated by three factors: resolution, integration time for observation, and SNR. 7.1.7.2. Imaging system There are two kinds of imaging system (e.g. Green, 1977); one is a direct method in which X-ray input images are converted directly into video signals and the other is an indirect method in which X-ray images are ®rst converted into visible-light images to be observed by the usual electro-optical system. In the latter, phosphor screens are widely used and the visible images can be magni®ed by a lens. However, the resolution is limited by the thickness of the phosphor screen that is required for a satisfactory absorption ef®ciency. In contrast, the direct method provides a high resolution.

Fig. 7.1.7.2. Square-wave modulation transfer function (MTF) measured for the DIS-type, conventional-type Se±As and PbO camera tubes. This function shows the magnitude of brightness modulation in the output image obtained for an input image with a square-wave intensity distribution and is de®ned by    1 I Io min Ii max Ii min ; MTF ˆ o max Io max ‡ Io min Ii max ‡ Ii min where Ii max and Ii min are the maximum and minimum intensities of the input image, respectively, and Io max and Io min are those of the output. DIS stands for diode-operation impregnated-cathode Saticon.

Various types of indirect method are discussed in Subsections 2.7.5.2 and 7.1.6.5. Here only the direct method will be described in some detail. A direct method using X-ray TV camera tubes has been used for real-time topography (Chikawa & Matsui, 1994). The construction and operation of an X-ray TV camera tube are similar to those of the conventional video pick-up tube, except for a beryllium window, as shown schematically in Fig. 7.1.7.1. The popular one is a vacuum glass tube which is 15 cm long and 25 mm in diameter. An X-ray sensing photoconductive layer such as Se (McMaster, Photen & Mitchell, 1967), or PbO (Chikawa, 1974) is placed on the inner surface of the window at one end of the tube and is scanned by a narrow electron beam from a cathode on the opposite end to convert image charges on the photoconductive layer into video signals. Therefore, the resolution depends upon the characteristics of the photoconductive layer and the electron-beam size on the layer. The camera tube with a PbO photoconductive layer has absorption ef®ciencies of q ˆ 0:6 for Mo K and 0.8 for Cu K, using a PbO layer with a resolution-limited maximum thickness of 15 mm (Chikawa, 1974). Dislocations in a silicon crystal were observed with the PbO camera tube and a high-power X-ray generator (tube voltage: 60 kV, current: 0.5 A) under the conditions  p ˆ

Fig. 7.1.7.3. Typical example showing dependence of the avalanche ampli®cation on the electric ®eld applied on the amorphous photoconductor (HARP). The solid and dashed lines show the ampli®cation of signal current by visible light and dark current, respectively, for a 2 mm thick HARP layer. The right-hand scale shows the current (in nA). The open circles are the data for an 8 mm thick HARP layer by X-ray irradiation. Note that the thicker layer has higher ampli®cations owing to longer paths for running of holes.

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635 s:\ITFC\chap-7.1.3d (Tables of Crystallography)

7.1. DETECTORS FOR X-RAYS 4  1011 Mo K1 photons s 1 m 2 , C ˆ 0:5 and  ˆ 30 mm (Chikawa, 1974) in (7.1.7.3). In order to improve the resolution further, q must be as high as possible even when  p is increased by 10±100 by use of synchrotron radiation, because RI decreases with improving resolution (decreasing ). (Note that C is not expected to increase much with improving resolution.) For example, to keep RI at the same level as the previous case, q should be 0.7, say, for  p ˆ 1013 photons s 1 m 2 and  ˆ 6 mm. However, resolution and detection ef®ciency are, in general, mutually exclusive; the resolution of X-ray sensing photoconductive or phosphor materials is determined by the sizes of their grains and their sensitivities decrease with decreasing grain sizes. High resolution, without sacri®cing detection ef®ciency, has been obtained with an amorphous Se±As alloy photoconductive layer, which has the advantage that no degradation of resolution occurs on increasing the layer thickness (Chikawa, Sato, Kawamura, Kuriyama, Yamashita & Goto, 1986). A layer with a thickness of 20 mm has an absorption ef®ciency of q ˆ 0:52 for Mo K. The resolution of these tubes is shown with their modulation transfer functions in Fig. 7.1.7.2. The limiting resolution of 6 mm was obtained by making the scanning electron beam narrower with a diode-type electron gun have a bariumimpregnated tungsten cathode (DIS type) (Chikawa, 1999). The Se±As layer shows very low lag characteristics (less than 1% after one frame). This type of camera tube was developed primarily for TV broadcasting use and named `Saticon' as the acronym for the components of the photoconductor, Se, As and Te. (Te enhances the sensitivity to red light.) Such camera tubes have excellent linearity. The output signal current is proportional to the incident X-ray intensity up to 4 mA. The ampli®er is always improving in signal-to-noise ratio, and, at present, the noise level of video ampli®ers is 0.2 nA; it is equivalent to an input intensity of 1011 Mo K photons m 2 s 1 in the US/Japan standard scanning system (30 frames s 1 ). Therefore, it is important to increase conversion ef®ciency …1 ; 2 ; . . . ; s †. With increasing voltage applied on the photoconductive layer, the signal current is saturated (in Fig. 7.1.7.1, all the holes produced by an incident photon are collected), and then increases again further by avalanche ampli®cation, as shown in Fig. 7.1.7.3; holes accelerated by a strong electric ®eld cause their multiplication (Sato, Maruyama, Goto, Fujimoto, Shidara, Kawamura, Hirai, Sakai & Chikawa, 1993). It was referred to as `HARP' (high-gain avalanche-rushing amorphous photoconductor). Together with the signal current, the dark current also increases as shown in Fig. 7.1.7.3. By allowing it to increase to the noise level of the video ampli®er, an order of magnitude higher SNR can be achieved. Consequently, individual X-ray photons can be imaged as spots with a size resulting from the point-spread function, unless they are absorbed near the back surface of the photoconductive layer. For X-ray detection, a thick HARP layer should be employed with a very high applied voltage, and stable operation with avalanche ampli®cation was con®rmed for a 25 mm thick HARP layer. These pilot tubes were fabricated with a conventional electron gun and had a resolution of about 25 mm. In general, avalanche ampli®cation results in degradation of spatial resolution and has been used for zero-dimensional

Fig. 7.1.7.4. Principles of a noise reducer.

detection such as solid-state detectors. To make two-dimensional detection, isolation of each picture element is required. For the HARP, however, no appreciable degradation of resolution due to avalanche ampli®cation was con®rmed with a DIS-type tube having an 8 mm thick HARP layer by using visible light through a glass window. X-ray sensitive DIS-type tubes are now commercially available. 7.1.7.3. Image processing The resolution  and integration time t should be selected appropriately according to experimental requirements (Chikawa, 1980). For example, when topographic images of a single dislocation in silicon were observed with t ˆ 1=30 s by synchrotron radiation, their contrast and SNR were found to be C ˆ 0:5 and RI ˆ 20 for  ˆ 30 mm, and C ˆ 1 and RI ˆ 8 for  ˆ 6 mm. Since the SNR is desired to be 100, the integration time should be as large as possible unless images of moving objects are degraded. Digital image processing (Heynes, 1977) enables one to adjust the integration time easily. As an example, a noise reducer (McMann, Kreinik, Moore, Kaiser & Rossi, 1978; Rossi, 1978) is shown in Fig. 7.1.7.4. The video signal is sampled and digitized by the A=D converter and the digital video is sent to the adder and thence to the memory. Image information in the memory is continually sent both to the adder through the multiplier for combination with incoming data and to the display through the D=A converter. The weighting of new to old data is made by changing the factor k of the multiplier in the range 0  k  1. For k ˆ 0, the original input image is displayed. In the range 0 < k < 1, a sliding summation of successive frames is displayed, and the SNR is improved by a factor of ‰…1 ‡ k†=…1 k†Š1=2 . The factor k can be adjusted automatically by detecting the difference between successive frames. Using a HARP tube, the SNR can be improved without integration of the ampli®er noise by image processing, and topographs were displayed with an intensity of  p ' 109 photons s 1 m 2 by a conventional X-ray generator. Acquisition of extremely low intensity images, dramatic improvements in SNR via frame integration, and isolation and enhancement of selected-contrast ranges are possible by digital image processing (Chikawa & Kuriyama, 1991).

7.1.8. Storage phosphors (By Y. Amemiya and J. Chikawa) A storage phosphor, called an `imaging plate', is a twodimensional detector having a high detective quantum ef®ciency (DQE) and a large dynamic range. It was developed in the early 1980's for diagnostic radiography (Sonoda, Takano, Miyahara & Kato, 1983; Kato, Miyahara & Takano, 1985). The performance characteristics of the imaging plate was quantitatively evaluated in the mid 1980's (Miyahara, Takahashi, Amemiya, Kamiya & Satow, 1986) and it was proved to be very useful also for X-ray diffraction experiments (Amemiya, Wakabayashi, Tanaka, Ueno & Miyahara, 1987; Amemiya & Miyahara, 1988). The imaging plate has replaced conventional X-ray ®lm in many X-ray diffraction experiments. The imaging plate (IP) is a ¯exible plastic plate that is coated with bunches of very small crystals (grain size about 5 mm) of photo-stimulable phosphor [previously BaFBr:Eu2‡ , recently BaF(Br,I):Eu2‡ ] by using an organic binder. The photostimulable phosphor is capable of storing a fraction of the absorbed X-ray energy. When later stimulated by visible light, it emits photo-stimulated luminescence (PSL), the intensity of which is proportional to the absorbed X-ray intensity.

635

636 s:\ITFC\chap-7.1.3d (Tables of Crystallography)

7. MEASUREMENT OF INTENSITIES The mechanism of PSL is illustrated in Fig. 7.1.8.1. When the IP absorbs incoming X-rays, some of the electrons in the valence band are pumped up to the conduction band of the phosphor crystals. (This corresponds to ionization of Eu2‡ to Eu3‡ .) The electrons, in turn, are trapped in Br and F vacancies, which were intentionally introduced in the phosphor crystals during the manufacturing process, forming temporary colour centres, termed F-centres. Exposure to visible light again pumps up the trapped electrons so that they generate energy for luminescence, while returning to the valence band of the crystal. (This process corresponds to a recombination of electrons with Eu3‡ ions, resulting in Eu2‡ luminescence.) Because the response time of the PSL is as short as 0.8 ms, it is possible to read an X-ray image with a speed of 5±10 ms per pixel with high ef®ciency. The PSL is based on the allowable transition from 5d to 4f of Eu2‡ . The wavelength of the PSL …l ' 390 nm† is reasonably separated from that of the stimulating light …l ˆ 632:8 nm†, allowing it to be collected by a conventional high-quantum-ef®ciency photomultiplier tube (PMT). The output of the PMT is ampli®ed and converted to a digital image, which can be processed by a computer. The residual image on the IP can be completely erased by irradiation with visible light, to allow repeated use. The IP is easy to handle, because it is ¯exible, like a ®lm, and can be kept in light before its exposure to X-rays. The measured DQE of the IP is shown as a function of the X-ray exposure level together with that of a high-sensitivity X-ray ®lm (Kodak DEF-5) in Fig. 7.1.8.2. The advantage of the IP over X-ray ®lm in DQE is clearly enhanced at lower exposure levels. This arises from the fact that the background noise level of the IP is much smaller than that of X-ray ®lm. The background noise level of the IP corresponds to the signal level of less than 3 X-ray photons=100 mm2 . This value compares favourably with the chemical `fog' level of X-ray ®lm, which amounts to 1000 X-ray photons per equivalent area. The background noise level of the IP depends largely on the performance of the IP read-out system, and it can be smaller than that of a single X-ray photon with a well designed IP read-out system (Amemiya, Matsushita, Nakagawa, Satow, Miyahara & Chikawa, 1988). The DQE of the IP decreases at higher exposure levels owing to `system ¯uctuation noise'. Fig. 7.1.8.3 shows the ¯uctuation noise of the IP and X-ray ®lm as a function of the

Fig. 7.1.8.1. Mechanism of photo-stimulated luminescence.

X-ray exposure level. It is shown that the noise ¯uctuation at high exposure levels is governed by system ¯uctuation noise, which amounts to about 1%. Fig. 7.1.8.4 shows the propagation of signal and noise in the IP system. The origins of the system ¯uctuation noise are non-uniformity of absorption, non-uniformity of the colour-centre density, ¯uctuation of the laser intensity, non-uniformity of PSL collection, and ¯uctuation of the high-voltage supply to the PMT. Although it might be possible to reduce the total system ¯uctuation noise from 1% to 0.5%, it is very dif®cult to reduce it down to 16 000:1), linearity better than 1% over the entire dynamic range, and extreme sensitivity. They display no lag or sensitivity to magnetic ®elds and they are not damaged by overlighting. Details of the performance of fully operational systems have been given by Krivanek, Ahn & Keeney (1987), Daberkow, Herrmann, Liu & Rau (1991), Kujawa & Krahl (1992), and Ishizuka (1993). To achieve optimum performance, a number of precautions must be taken including modest cooling of the CCD to suppress thermally generated charge carriers. Readout speeds are long compared with TV rates so that any noise associated with this process is minimized. In practice, high-precision correlated double-sampling techniques are used for analogue-to-digital conversion to realise this end. There is also the need to compensate for ®xed-pattern noise due to non-uniformities of dark current and due to the ®bre plate. For these purposes, use is made of a reference image recorded when the device is simply ¯ooded with uniform illumination. An alternative approach to reduce at least some of the ®xed-pattern noise is to use a lens rather than a ®bre-optic plate between the transmission ¯uorescent screen and the device (Fan & Ellisman, 1993). When all these precautions are taken, the resulting system has suf®cient sensitivity to detect single 100 keV electrons. From the above, it should be clear that the CCD-based system offers many advantages over the TV system if quantitative electron data (images or diffracton patterns) are required for subsequent computer analysis. However, its slower response speed means that its use is limited for alignment purposes and much in situ experimentation. It is advantageous, therefore, to have both systems available. 7.2.3.5. Imaging plates A recent advance using a medium related to ®lm involves the imaging plate (Mori, Katoh, Oikawa, Miyahara & Harada,

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7. MEASUREMENT OF INTENSITIES 1986), which relies on the phenomenon of photostimulated luminescence. Here the active area is a coating of a photostimulable phosphor that can store energy when excited by electrons. The energy absorbed is then emitted as photons when the medium is illuminated with visible or infrared radiation and this signal is detected using a photomultiplier. The read signal is provided by a scanning He±Ne laser so that, as with the detectors in Subsections 7.2.3.3 and 7.2.3.4, information is recorded in parallel but accessed serially. Initial experiments suggest that the imaging plate offers higher sensitivity and a wider dynamic range than most ®lm, but currently suffers from inferior spatial resolution. Recent discussion of the performance and limitations of imaging plates has been supplied by Mori, Oikawa, Katoh, Miyahara & Harada (1988) and Isoda, Saitoh, Moriguchi & Kobayashi (1991). 7.2.4. Serial detectors 7.2.4.1. Faraday cage The Faraday cage is the most convenient means of determining electron-beam currents. It consists of a small electrically isolated cage with a small hole in it through which electrons enter. Provided the hole subtends a suf®ciently small solid angle and the inner surface of the cage is made of a material with a low back-scattering coef®cient, the probability that any electrons will re-emerge is negligible. An electrometer is normally used to measure the charge that has entered the cage. The main use of the Faraday cage is to calibrate other detectors when absolute electron intensities are required. It also serves a very important role when the total specimen exposure in an experiment must be kept below a critical value owing to the susceptibility of the specimen to radiation damage. As electron charge is being measured, the Faraday cage may be used with electrons of any energy. 7.2.4.2. Scintillation detectors One of the most widely used total ¯ux detectors is a scintillator, the output from which is coupled into a photomultiplier by a light-pipe. In the ®rst stage, an incident electron deposits its energy in the scintillator, producing a number of light photons with an energy de®ciency of up to  20% (Herrmann, 1984). By careful design of the light-pipe, an appreciable fraction of the photons will reach the photomultiplier, which should have a photocathode whose quantum yield peaks around the wavelength of the photons from the scintillator. Even though the quantum yield of the photocathode is likely to be 1 mm2 . Thus, photodiode detectors cannot normally be operated in an electron-counting mode and suffer from a low DQE whenever incident electron currents are small. To optimize their performance in this range, the device should be cooled (to reduce the thermally generated signal) and the electron beam should be scanned relatively slowly so that high-gain low-noise ampli®ers may be used for subsequent ampli®cation of the signal from the photodiode. Above the low-signal threshold, the output from the photodiode varies linearly with incident electron intensity and is once again in a form suitable for direct display or for being digitized and stored.

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7.2. DETECTORS FOR ELECTRONS The main advantages of semiconductor over scintillation detection systems are their robustness, cheapness, and compactness. The latter is particularly valuable for certain applications in that it allows the detector to be sited very close to the specimen even when space is very con®ned. This occurs, for example, when the specimen is immersed in a magnetic lens and channelling patterns from back-scattered electrons are to be recorded. A further advantage arises if images are to be formed in scanning microscopes using signals from a number of closely positioned detectors whose shapes may be quite complex. Using lithographic techniques, several detectors may be fabricated on a single silicon substrate and, provided the gains of any succeeding ampli®ers are well

matched, a detection system with a well de®ned response function results. 7.2.5. Conclusions A wide variety of different means exists for detecting electrons. Many are almost perfect in that they add very little noise to that already present in the electron beam. However, no single detector meets all the requirements of different experiments and, before selecting a detector for a speci®c purpose, it is necessary to consider the relative importance of the attributes listed in Section 7.2.2. Once this is established, it should be straightforward to determine the optimum detector for the task in hand.

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International Tables for Crystallography (2006). Vol. C, Chapter 7.3, pp. 644–652.

7.3. Thermal neutron detection By P. Convert and P. Chieux

7.3.1. Introduction

7.3.3. Neutron detection processes

In this chapter, we shall be concerned with the detection of neutrons having thermal and epithermal energies in the range Ê Given the cost and the rarity of the 0.0002±10 eV (20±0.1 A). neutron sources, it is clear that the recent trends in neutron diffractometry are more and more in the direction of designing new instruments around highly ef®cient and complex detection systems. These detection systems become more and more adapted to the particular requirements of the different experimental needs (counting rate, size, resolution, de®nition, shielding and background, TOF, etc.). It is therefore dif®cult to speak about neutron detectors and intensity measurements as such without reference to the complete spectrometers, and this should include the on-line computer. Most neutron detectors for research experiments have been created and developed using ®ssion reactors as neutron sources Ê [i:e: with an upper limit of usable energy of 0.5 eV (0.4 A)]. Given the relatively low intensity of reactor neutron beams, a very successful effort has been made to increase the detector ef®ciency and the detection area as much as possible. The recent construction of pulsed neutron sources extends the range of incident energy to at least 10 eV and generalizes the use of timeof-¯ight (TOF) techniques. A broad range of fully operational neutron detectors, well adapted to reactors as neutron sources, is commercially available, but this is not yet the case for pulsed sources. Probably due to the variation of intensity of the early neutron beams, it is a tradition in neutron research to monitor the incident ¯ux with a low-ef®ciency detector, which in the best case has a stability of the order of 10 3 , i:e: suf®cient for most experiments.

A detection process consists of a chain of events that begins with the neutron capture and ends with the macroscopic `visualization' of the neutron by a sensor (electronic or ®lm). The quality of a detection process will depend on the ef®ciency of the conversion steps and on the characteristics of the emission steps, which alternate in the process (see Table 7.3.3.1). We present below typical detection processes.

7.3.2. Neutron capture Neutrons' lack of charge and the fact that they are only weakly absorbed by most materials require speci®c nuclear reactions to capture them and convert them into detectable secondary particles. Table 7.3.2.1 lists the neutron-capture reactions that are commonly used in thermal neutron detection. The incoming thermal neutron brings a negligible energy to the nuclear reaction, and the secondary charged particles or ®ssion fragments are emitted in random P directions following the conservation-of-momentum law mi vi ˆ 0. The capture or absorption cross sections for a number of nuclei of interest are plotted as a function of neutron energy in Fig. 7.3.2.1. These cross sections are commonly expressed in barns (1 barn ˆ 10 28 m2 ). At low energies, they are inversely proportional to neutron velocity, except in the case of Gd, which has a nuclear resonance at 0.031 eV. The total ef®ciency " of neutron detection can be expressed by the equation " ˆ ‰1

exp… Na t†Š;

7.3.3.1. Detection via gas converter and gas ionization: the gas detector The neutron capture and the trajectories of the secondary charged particles as well as the speci®c gas ionization along these trajectories are presented in Figs. 7.3.3.1…a† and …b†. Since the gas ionization energy is about 30 eV per electron (42 eV for 3 He and 30 eV for CH4 ), there are about 25 000 ion pairs (e , He‡ or e , CH‡ 4 ) per captured neutron. Gases such as CH4 or C3 H8 are added to diminish the length of the trajectories, i:e: the wall effect [see Subsection 7.3.4.2…b†]. We give in Fig. 7.3.3.1…c† the proton range of an 3 He neutroncapture reaction in various gases (Fischer, Radeka, & Boie, 1983). A schematic drawing of a gas monodetector, which might be mounted either in axial or in radial orientation in the neutron beam, is given in Fig. 7.3.3.1…d†. For this type of detector, the ef®ciency as a function of the gas pressure, or gas-detector law, is written as "…l† ˆ ‰1

with P …atm† ˆ the detector-gas pressure at 293 K, t …cm† ˆ the Ê ˆ the detected neutron wavelength. gas thickness, and l …A† The numerical coef®cient b; obtained at 293 K from the ideal gas law, the Avogadro number NA , and the gas absorption cross Ê is section a (barns) at l0 ˆ 1:8 A, bˆ

273 NA    a: 293 22 414 l0

Ê b ˆ 0:07417; for For 3 He, with a ˆ 5333 barns at l0 ˆ 1:8 A, 10 Ê BF3 , with a ˆ 3837 barns at l0 ˆ 1:8 A, b ˆ 0:0533. We give in Table 7.3.3.2 a few examples of gas-detector characteristics.

…7:3:2:1†

where N is the number of absorbing nuclei per unit volume, a is their energy-dependent absorption cross section, and t is the thickness of the absorbing material. The factor 1 exp… Na t† gives the neutron-capture ef®ciency, while  is a factor  1 that depends on the detector geometry and materials (absorption and scattering in the front window) and on the ef®ciency of the secondary particles.

Fig. 7.3.2.1. The capture cross sections for a number of nuclei used in neutron detection. [Adapted from Convert & Forsyth (1983).]

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exp… bPtl†Š;

7.3. THERMAL NEUTRON DETECTION Table 7.3.2.1. Neutron capture reactions used in neutron detection n = neutron, p = H‡ = proton, t = 3 H = triton,  ˆ 4 H‡ ˆ alpha, e = electron Capture reaction

Cross section Ê (barns) at 1 A

Secondary-particle energies (MeV)

3

He ‡ n ! t ‡ p

3000

t

0:20

p

6

Li ‡ n ! t ‡ 

520

t

3:74

 2:05

10

B ‡ n !7Li ‡  (93%) j! 7 Li ‡ 7 ! Li ‡  (7%)

157

Gd ‡ n ! Gd j!

‡ conversion electrons

235

U ‡ n ! fission fragments

2100 74000 (nat Gd: 17000) 320

There are two modes of operation. In the case of direct collection of charges, the 25 000 electrons corresponding to one neutron capture (primary electrons) are collected by the anode in about 100±500 ns, and generate an input pulse in the charge preampli®er (see Section 7.3.4). If the electrical ®eld created by the high voltage applied to the anode exceeds a critical value, the electrons will be accelerated suf®ciently to produce a cascade of ionizing collisions with the neutral molecules they encounter, the new electrons liberated in the process being called secondary electrons. This phenomenon, gas multiplication, occurs in the vicinity of the thin wire anode, since the ®eld varies as 1=r. The avalanche stops when all the free electrons have been collected at the anode. With proper design, the number of secondary electrons is proportional to the number of primary electrons. For cylindrical geometries, the multiplication coef®cient M can be calculated (Wolf, 1974). This type of detection mode is called the proportional mode. It is very commonly used because it gives a better signal-to-noise ratio (see Section 7.3.4). A few critical remarks about gas detectors: (i) Some gases have a tendency to form negative ions by the attachment of a free electron to a neutral gas molecule, giving a loss of detector current. This effect is negligible for 3 He but it limits the use of 10 BF3 to about 2 atmospheres pressure, although traces of gases such as O2 or H2 O (e:g: detector materials and wall outgasing) are often the reason for loss by attachment. (ii) Pure 3 He and 10 BF3 gas detectors are practically insensitive to radiation. This is no longer the case when additional gases, which are necessary for 3 He, are used, although the polyatomic additives C3 H8 and CF4 are much better than the rare gases Kr, Xe, and Ar (Fischer, Radeka & Boie, 1983). (iii) For various reasons (the price of 3 He and 10 BF3 and the toxicity of BF3 ), neutron gas detectors are closed chambers, which must be leak-proof and insensitive to BF3 corrosion. The wall thickness must be adapted to the inside pressure, which sometimes implies a rather thick front aluminium window (e:g: a 10 mm window for a 16 bar 3 He gas position-sensitive detector; aluminium is chosen for its very good transmission of neutrons, about 90% for 10 mm thickness). 7.3.3.2. Detection via solid converter and gas ionization: the foil detector This mode of detection is generally used for monitors. In a typical design, a 10 B deposit of controlled thickness, for example

 1:47  1:78

7

e spectrum

spectrum

0.07 to 0.182 up to 8

7

Li Li

0:83 1:01

0:48

Fission fragments up to 80

Ê is t ˆ 0:04 mm giving a capture ef®ciency of 10 3 at l ˆ 1 A, made on a thin aluminium plate (see Fig. 7.3.3.2). One of the two particles (, Li) produced in the solid by the capture reaction is absorbed by the plate; the other escapes and ionizes the gas. The electrons produced are collected by the aluminium plate, itself acting as the anode, or by a separate anode wire, allowing the use of the proportional mode. The detection ef®ciency is proportional to the deposit thickness t, but t must be kept less than the average range r of the secondary particles in the deposit (for 10 B, r ˆ 3:8 mm and rLi ˆ 1:7 mm), which limits the Ê The ef®ciency to a maximum value of 3±4% for l ˆ 1 A. fraction of the secondary particle energy that is lost in the deposit reduces the detector current, i:e: the signal-to-noise ratio, and worsens the amplitude spectrum (see Section 7.3.4). 7.3.3.3. Detection via scintillation In the detection process via scintillation (see Table 7.3.3.1), the secondary particles produced by the neutron capture ionize and excite a number of valence-band electrons of the solid scintillator to high-energy states, from which they tend to decay with the emission of a light ¯ash of photons detected by a photomultiplier [see Fig. 7.3.3.3…a†]. A number of conditions must be satis®ed: (i) The scintillation must be immediate after the neutroncapture triggering event. (ii) The scintillation decay time must be short. It depends on materials, and is around 50±100 ns for lithium silicate glasses. (iii) A large fraction of the energy must be converted into light (rather than heat). (iv) The material must be transparent to its own radiation. Most thermal neutron scintillation detectors are currently based on inorganic salt crystals or glasses doped with traces of an activating element (Eu, Ce, Ag, etc.) (extrinsic scintillators). (A plastic scintillator might be considered to be a solid organic solution with a neutron converter.) The use of extrinsic scintillators (Convert & Forsyth, 1983), although less ef®cient energetically, permits better decoupling of the energy of the photon-emitting transition (occurring now in the activator centres) from that of the valence-band electron excitation or ionization energy. The crystal or glass is then transparent to its own emission, and the light emitted is shifted to a wavelength better adapted to the following optical treatment.

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0:57

7. MEASUREMENT OF INTENSITIES Table 7.3.3.1. Commonly used detection processes 1st conversion (neutron captures)

2nd conversion

3rd conversion

Sensor

Capture/solid ! e n ‡ 157 Gd

Gas ionization

Scintillation

Film

Capture/gas n ‡ 3 He ! p ‡ t

Gas ionization ! e (3 He ‡ add. gas)

Electronics

Capture/solid n ‡ 10 B; 6 Li; 235 U ®ssion products

Gas ionization ! e (e.g. Ar ‡ CO2 )

Electronics

Capture/solid:

Fluorescence/solid:

LiF ‡ ZnS(Ag) n ‡ 6 Li !  ‡ t

LiF ‡ ZnS(Ag) ! 

LiF ‡ ZnS(Ag) n ‡ 6 Li !  ‡ t

LiF ‡ ZnS(Ag) ! 

Photoelectric effect ! e

Electronics

Ce3‡ enriched Li glass n ‡ 6 Li !  ‡ t

Ce3‡ enriched

Photoelectric effect ! e

Electronics

Li glass

!

Film

 ˆ photon.

Table 7.3.3.2. A few examples of gas-detector characteristics Detection gas 10

Additional gas

BF3

Gas pressure (atm)

Useful detection volume (mm  mm)

1

L ˆ 200,  ˆ 50

Capture ef®ciency Ê lˆ1A

Ê lˆ2A

Axial Radial*

65.5% 23.4%

88.1% 41.3%

Mounting

3

He

5

L ˆ 100,  ˆ 50

Axial Radial*

97.5% 84.4%

99.9% 97.5%

3

He

8

L ˆ 250,  ˆ 10

Radial*

44.7%

69.5%

3

He (monitor)

2

100  40  40

C 3 H8

10

5

to 10

3

* Value calculated for the diameter.

In order to maximize the light collected by the photomultiplier [Fig. 7.3.3.3…b†], a light re¯ector is added in front of the scintillator, and a light coupler adapts the dimensions of the scintillator to that of the photomultiplier (PM). The area of the scintillator might be very large (up to 1 m2 ). The optimum thickness of a glass scintillator is about 1 to 2 mm, corresponding Ê to a neutron detection ef®ciency of 40 to 97% for l ˆ 1:8 A, 6 depending on the Li concentration (Strauss, Brenner, Chou, Schultz & Roche, 1983). In a Ce-doped Li silicate glass, the number of photons emitted per captured neutron is about 9000, giving ®nally about 1500 electrons at the photocathode in the optimum light-coupling con®guration. The number of photons emitted per captured neutron, the number of those reaching the photocathode, and the scintillator decay time are parameters that might differ by an order of magnitude, depending on the scintillator material. However, the glass scintillator remains for

the time being the best choice, since the possible gains given by other materials, in decay time or in the number of photons emitted, are always very severely offset by poor light output (e:g: the plastic scintillator). It is very important to maximize the number of photons per neutron reaching the photocathode, since this will help to discriminate between neutrons and rays [see Fig. 7.3.4.2…e†]. The optical coupling between the different parts of the detection system must be of very good quality. 7.3.3.4. Films Films are classed as position-sensitive detectors. Two types of neutron converter are used in neutron ®lm-detection processes. In the case of the scintillation ®lm system, a light-sensitive ®lm is pressed close to one or between two plastic 6 LiF/ZnS(Ag) scintillator screens (Thomas, 1972). In the case of the Gd-foil

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7.3. THERMAL NEUTRON DETECTION converter, the conversion electrons are emitted isotropically, with a main energy peak at 72 keV, and collected by an X-ray ®lm in close contact with the converter (Baruchel, Malgrange & Schlenker, 1983). In addition to the advantages given by the ®lm technique in itself (simplicity, low price, direct picture, etc.), neutron photographic methods give the best spatial resolution. However, the resolution is inversely related to the detector ef®ciency and thickness. A good compromise appears to be a thickness of 0.25 mm for a plastic scintillator [i:e: a capture ef®ciency of about 12% and a resolution of 0.1 mm for a one-screen converter Ê see the size of the ionization volumes in a scintillator, at l ˆ 1 A; Fig. 7.3.3.3…a†]. Here, however, as in light scattering, the optical density depends on the exposure time as well as on the incoming ¯ux (Schwartzschild effect), which necessitates a calibration (Hohlwein, 1983). For a natural Gd-foil converter, an optimum thickness is 0.025 mm, giving a resolution of 0.020 mm. The Gd-foil ®lm detector is one order of magnitude

Fig. 7.3.3.2. Typical design of a

Fig. 7.3.3.1. …a† Neutron capture by an 3 He atom and random-direction trajectory (Ox) of the secondary charged particles in the gas mixture. …b† Calculated speci®c ionization along the proton and triton trajectory in a 65% 3 He/35% CH4 mixture at 300 K and atmospheric pressure (Whaling, 1958). [Reproduced from Convert & Forsyth (1983).] …c† Range of a 0.57 MeV proton (from 3 He neutron capture) as a function of the pressure of various gases. [Reproduced from Convert & Forsyth (1983).] …d† Schematic drawing of a gas monodetector. The arrows represent the incoming beam.

B-foil detector.

Fig. 7.3.3.3. …a† Schematic representation of the neutron capture, secondary , and triton ionization volumes, and scintillator light emission in a cerium-doped lithium silicate glass. [Reproduced from Convert & Forsyth (1983).] …b† Schematic representation of a scintillation detector.

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10

7. MEASUREMENT OF INTENSITIES less ef®cient than the scintillator, but, as in electron microscopy, the optical density is nearly proportional to the exposure. This explains the use of the Gd foil in neutron-diffraction topography. If we take into account the possible inhomogeneity of the converter and the dif®culties related to the ®lm (homogeneity, development, and photodensitometry), an accuracy of 5 to 10% is achievable in the intensity measurements under good conditions. Owing to the differences in the processes, neutron photographic techniques are much more ef®cient than those for X-rays. In the case of the plastic scintillator, the gain is about 103 , which compensates for the much lower neutron ¯uxes. 7.3.4. Electronic aspects of neutron detection 7.3.4.1. The electronic chain Each collected burst of electrons, corresponding to one captured neutron, will be successively ampli®ed, identi®ed (discriminated), and transformed to a well de®ned signal, by a chain of electronic devices that are represented in Fig. 7.3.4.1. In the case of the gas detector, the complete electronic chain is generally contained in a grounded metallic box acting as an electrical shield. The detector is connected to this box via a coaxial cable as short as possible to avoid noise and parasitic capacitance. A high-voltage power supply feeds the detector anode through a ®lter. The charge-sensitive preampli®er contains a ®eld-effect transistor (FET) to minimize the background noise, since, from the detector up to this stage, the electronic level is very low. At the output of the FET, the pulse corresponding to one neutron has an amplitude of about 20 mV. This pulse enters an operational ampli®er with adjustable gain G, which delivers a signal of about 2 V, the analogue signal (ANA). The electronic pulse-rise time (0.5 to a few ms) is adapted to the detector electron-collecting time, i:e: its amplitude is roughly proportional to the number of electrons collected at the anode. The last part of the electronic chain is a discriminator with an adjustable threshold, followed by a trigger delivering a calibrated signal (e:g: ‡5=0 V), called the logic signal (LOG), which is sent to a scaler. In the case of the scintillator, the photomultiplier ensures the conversion of light to electrons and produces a strongly ampli®ed electronic signal that is processed through a discriminator and trigger as for the gas detector.

are on the same scale (and not different by a factor of two). Fig. 7.3.4.2…a† shows characteristic shapes obtained when triggering the oscilloscope at, say, 0.2 V and observing a 10 BF3 gas detector either pulse by pulse or in a continuous way. This type of display allows the trained user to check the noise level, the amplitudes of the neutron pulses, the quality of the pulse shape, and the presence of any anomalous signal such as one due to ¯ashes of parasitic electronic or electric noise (e:g: 50 Hz). rays produce fewer electrons than neutrons, so that the corresponding pulses are of a lower amplitude (by a factor of 1=5 to 1=20). …b† Control of the distribution of the pulse amplitudes. The distribution of amplitudes of the various pulses in number of pulses per amplitude increment dN=dA is analysed and displayed using a multichannel analyser. Fig. 7.3.4.2…b† shows the amplitude spectrum for a 10 BF3 gas detector. The main peak at A0 corresponds to the main neutron-capture reaction (2.3 MeV, 93%). From its FWHM, we de®ne the detector electronic resolution
A=A0 . The right-hand-side small peak is due to the 2.8 MeV, 7% capture reaction. The tail of amplitudes down to 4A0 =11 corresponds to neutrons captured near the detector walls, which stop some of the secondary-particle trajectories (wall effect). The existence of a deep valley [see Fig. 7.3.4.2…b†] where the discriminator threshold T is placed ensures that all captured neutrons, and nothing else, are counted. The width of this valley guarantees good detection stability. Three effects might reduce this valley. Worsening of the gas quality will reduce all the pulse amplitudes (neutron and gamma), an increase in electronic noise will result in a resolution loss affecting the valley on both sides, and a high level of radiation will produce a pile up of the independent pulses, increasing their amplitude. …c† Optimization of the threshold and high-voltage values. In order to set the threshold T at its optimum value for discrimination and stability, the total number of counts in the detector per unit time is plotted as a function of the threshold, for

7.3.4.2. Controls and adjustments of the electronics For the gas detector, there are basically three parameters to be adjusted, the gas-ampli®cation coef®cient M (a function of the detector high voltage), the electronic ampli®cation gain G, and the discriminator threshold T . Since these adjustments are interactive, the high voltage is initially set at the value given by the manufacturer. The gain G is adjusted in order not to saturate the ampli®er. When the electronic ampli®er power supply voltage is 5 V, a typical setting of the pulse maximum amplitudes is about 3 V. We present now the three types of operation necessary to adjust the electronics. …a† Control of the pulse shape. The analogue pulse ANA (see Fig. 7.3.4.1) is directly observed with an oscilloscope. Depending on the construction of the electronic chain, it is important to verify if the input of the oscilloscope (or of the multichannel analyser, see below) must be adapted with a 50

impedance or not. This will ensure that the amplitude of the analogue pulse and the accessible value of the voltage threshold

Fig. 7.3.4.1. Electronic chain following …a† an 3 He gas detector and …b† a scintillation detector.

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7.3. THERMAL NEUTRON DETECTION a constant incident ¯ux [see Fig. 7.3.4.2…c†]. On this curve, the width of the plateau and a value of the slope about 10 4 (in relative variation of counts per mV) give an indication of the detector quality. A good compromise is to set the threshold T at the middle of the plateau. It is also necessary to verify that the detector high voltage, i:e: the gas-ampli®cation coef®cient M (see Subsection 7.3.3.1), is well adapted. With the value of the threshold T adjusted as above, the number of counts per unit time is plotted as a function of the high voltage [see Fig. 7.3.4.2…d†]. Typical values for the width of the plateau and its slope are 200 V and a few per cent per 100 V. If the high-voltage setting given by the manufacturer must be modi®ed (owing to the worsening of the gas or constraints from the electronic chain, etc.), the complete adjustment procedure of the G and T parameters must be repeated. The electronic adjustments and controls of types of detector other than 10 BF3 gas detectors are basically the same once the changes in the amplitude spectrum have been taken into account. We present in Fig. 7.3.4.2…e† the amplitude spectra for an 3 He gas detector with signi®cant wall effects, for a 10 B solid-deposit detector with very low ef®ciency, and for a scintillator. The energy of the secondary particles produced in an 3 He gas detector is 765 keV, about three times less than in 10 BF3 , reducing the signal-to-noise ratio; the relative importance of the wall effect is greater and extends to A0 =4. In the case of the 10 B deposit detector, only one of the secondary particles escapes the foil, so that we do not detect an amplitude A0 corresponding to the full capture-reaction energy, but only that corresponding

either to an average  or Li trace. The quality of the valleys depends on the t=r (foil thickness=particle range) ratio in the 10 B solid (see Fig. 7.3.3.2). The ®gure corresponds to a monitor where t  r. For the scintillator, the valley in the amplitude spectrum is not very good, even for good glasses and without radiation. The discrimination is therefore always much inferior to that of a gas detector. Moreover, the gain of the photomultiplier is very sensitive to the high voltage and has long-term stability problems. 7.3.5. Typical detection systems 7.3.5.1. Single detectors In order to measure the scattered intensities, the single detector is mounted in a shield equipped with a collimator between sample and detector. The collimator is adapted to the sample (5 to 200 Soller collimator for a powder diffractometer, or a hole adapted to the size of the beam diffracted by a single crystal). The sensitive area of the detector matches the size of the collimated diffracted beam. This geometry allows one to localize the scattered beam with adequate resolution and to avoid parasitic neutrons. In a powder diffraction measurement, the detector is scanned with a goniometer, each step being monitored. 7.3.5.2. Position-sensitive detectors With the advantages of speed and simultaneity of data collection over broad angular ranges, position-sensitive detectors

Fig. 7.3.4.2. …a† Characteristic 10 BF3 gas-detector analogue pulses seen on an oscilloscope. …b† 10 BF3 amplitude spectrum. …c† Plateau of a 10 BF3 detector as a function of the threshold voltage. …d† Typical plateau of a 10 BF3 detector in proportional mode as a function of the high voltage. …e† Amplitude spectra of various detectors.

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7. MEASUREMENT OF INTENSITIES (PSDs) have seen considerable development (Convert & Chieux, 1986). They are based on the fundamental detection processes described in Section 7.3.3. Their dimensions, the introduction of various systems for position encoding and decoding, and the multiplication of the number of detection chains (with necessary adjustments and controls) have produced detection systems of a complexity that can no longer be grasped by a researcher only occasionally involved in neutron-scattering experiments. The following lines give only a very crude introduction to PSDs at a descriptive level. A PSD is always mounted in a shield that has an opening limited by the cone de®ned by the sample size and the detection area. Given the large opening in the shield, the PSD is very sensitive to parasitic neutrons, especially those coming from materials in the main monochromatic beam. However, if suf®cient care is taken with the sample environment and beamstop design, the signal-to-noise ratio may be as good as or even better than in a single detector. The scattering angle is determined by the angular position of the origin of the PSD, the sample-to-detector distance, and the location of the neutron capture in the PSD. In a PSD, each individual neutron-capture reaction in the continuous converter is localized via an internal encoding system followed by electronic decoding. There are three types of PSD: the gas resistive wire, the gas multielectrode, and the Anger camera (scintillation). (a) Gas PSD with resistance encoding. The simplest examples of this type of PSD are one-dimensional detectors in which the neutron-converter gas is contained in a cylindrical stainless-steel tube with a central, ®ne resistive wire anode. The amplitudes of the output pulses from charge-sensitive ampli®ers attached to each end of the anode are then compared to derive the positional coordinate of the neutron. An alternative method of deriving the positional information is RC (resistance capacitance) encoding followed by time decoding (Borkowski & Kopp, 1975). Twodimensional RC encoding PSDs have been developed. One of the solutions is to have a group of wires interconnected by a chain of resistors with ampli®ers at the resistor chain nodes (Boie, Fischer, Inagaki, Merritt, Okuno & Radeka, 1982). (b) Gas multi-electrode PSD. The simplest examples of this type of PSD are one-dimensional detectors with a small number of discrete electrodes, e:g: 64 parallel anode wires separated by 2.54 mm. Each anode wire has an ampli®er. A logic system analyses the amplitudes of the output pulses corresponding to one neutron that are collected by one, two, or three neighbouring wires, and decides on which wire the neutron was detected. Large curved one-dimensional PSDs have been built on this principle, e:g: 800 wires covering 80 . Two-dimensional PSDs based on the same principle use a matrix system in which a neutron gives rise to two sets of signals on two orthogonal systems of electrodes (Allemand, Bourdel, Roudaut, Convert, Ibel, JacobeÂ, Cotton & Farnoux, 1975). (c) Neutron Anger camera. The principle of the Anger camera is to detect an incident photon or particle with a continuous area of scintillator. The light produced is allowed to disperse before entering an array of photomultipliers (PMs) whose analogue output signals are used to derive the position of the incident neutron. In one dimension, the localization is achieved by a row of PMs (Naday & Schaefer, 1983). In two-dimensional PSDs, a close-packed array of PMs allows the location of the scintillation to be determined by calculating the X and Y centroids using a resistor-weighting scheme (Strauss, Brenner, Lynch & Morgan, 1981). Table 7.3.5.1 gives the characteristics of some PSDs, each example being a good compromise of detector characteristics

adapted to the instrument needs, powder diffraction, singlecrystal diffraction, and small-angle neutron scattering (SANS). From this table, it seems that the characteristics of the various types of PSD that have been presented are nearly equivalent. The homogeneity of neutron detection over the PSD sensitive area is better than 5% in all cases. Among those PSDs, the gas PSDs, which have been installed since the early 1970s, are the most commonly used. The de®nite advantage of the gas multielectrode PSD is to digitize the encoding, thus offering very good stability and reliability of the neutron localization. The resistance-encoding gas PSD has less complex electronics and permits a choice of pixel size (elementary detection area) and thereby de®nition. The Anger camera also offers the same ¯exibility in the choice of the pixel size and, because of the small thickness of the scintillator (1±2 mm), has very little parallax and is well adapted to TOF measurements. However, the sensitivity of the scintillators is much higher than that of the gas PSDs. PSDs permit a simultaneous measurement of intensities over relatively large areas. As compared with the scanned single detector, this opens the way to two possibilities, either shorter counting time (e:g: real-time experiments) or improved statistical precision. However, the high counting rates achieved, as well as the complexity of the detection, increase the effective dead time and the occurrence of defects. The ef®cient use of a PSD therefore requires a detailed understanding of its operation (detection process, encoding±decoding, data storage, etc.) and periodic tests and calibrations.

7.3.5.3. Banks of detectors When it is useful to have a large detection area without requiring spatial continuity of the detection, the solution is in the juxtaposition of several detectors. The selection of the type of detectors, the way of regrouping them, and the design of the collimation system depend on the measuring instrument. An appropriate geometry will optimize the signal-to-noise ratio and the instrumental resolution. Banks of single detectors, up to 64 covering up to 160 in the diffraction plane with Soller collimators in front of each detector, are used for powder diffractometers in reactors [D1A and D2B, Institut Laue±Langevin (1988)]. The relative position of the detectors plus collimators and their response to the neutron intensity have to be measured and calibrated. The bank of detectors is scanned in small steps over the interval between two successive detectors in order to obtain a complete diagram over the angular range of the bank. In a similar way, a juxtaposition of small PSDs with individual collimators is also used [D4, Institut Laue±Langevin (1988)]. In the case of spallation sources, the time-of-¯ight powder diffractometers are made of arrays of detectors at selected diffraction angles, to increase the detection area (Isis, 1992). Whenever it is possible, the time focusing geometry is used (Windsor, 1981). This implies a particular alignment of the detector array in order for it to become equivalent to one detector at one angle. On the same instrument [HRPD, SANDALS, LAD (Isis, 1992)], various types of detector are used ( 3 He gas single detectors of small diameter, Li glass or Li+ZnS scintillators). For each selected diffraction angle, the choice of detector depends on the required resolution, which is better for scintillators because of their small thickness, and on other properties of the detectors (background, stability, discrimination), which are better for 3 He detectors.

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7.3. THERMAL NEUTRON DETECTION Table 7.3.5.1. Characteristics of some PSDs 1D = one dimensional; 2D = two dimensional; F= = ¯at; C= = 1D curved; X = single crystal. Gas Resistance encoding 1D 2D Location

F= MURR (USA) F= ORNL (USA)

Gas Multi-electrode

1D

Scintillation Anger camera

2D

1D

F= ILL (France) C= CENG (France)

F= ILL (France) C= ILL (France)

F= JuÈlich (FRG)

2D

F= ANL (USA)

Instrument reference

Powder (1)

SANS (2)

F= Liquids (3) C= Powder (4)

F= SANS (3,5) C= X (3)

Powder (6)

X (7)

Detection area (mm)

l ˆ 610 … ˆ 25:4†

650  650

F= l ˆ 162:5 …h ˆ 70† C= l ˆ 2096 or 80 …h ˆ 70†

F= 640  640

l ˆ 744 …h ˆ 20†

300  300

Cell size or pixel (mm)

C= 1300  80 or 64  4

10  10

F= 2.54 C= 2.62 or 0.1

F= 5  5 C= 2:54  5

0.7

0:3  0:3

Resolution (mm)

2.5

10  10

F= 3.2 C= 2.6

F= 5  5 C= 3  6:6

2.5

2:7  2:7

Ef®ciency (%)

Ê) 70 (1.3 A

Ê) 90 (4.75 A

Ê) F= 90 (0.7 A Ê) C= 52 (2.5 A

Ê) F= 75 (11 A Ê) C= 85 (1.5 A

Ê) 70 (1.2 A

Ê) 80 (1.8 A

MURR: Missouri University Research Reactor, Columbia, Missouri, USA. ORNL: Oak Ridge National Laboratory, Tennessee, USA. ILL: Institut Laue±Langevin, Grenoble, France. ANL: Argonne National Laboratory, Argonne, Illinois, USA. CENG: Centre d'Etudes NucleÂaires de Grenoble, Grenoble, France. References: (1) Berliner, Mildner, Sudol & Taub (1983); (2) Abele, Allin, Clay, Fowler & Kopp (1981); (3) Institut Laue±Langevin (1988); (4) Roudaut (1983); (5) Ibel (1976); (6) Schaefer, Naday & Will (1983); (7) Strauss, Brenner, Chou, Schultz & Roche (1983).

7.3.6. Characteristics of detection systems We shall present and comment on some characteristics of detectors plus electronic chains in operational conditions. (a) Intrinsic background (i:e: with the reactor or neutron source shut down). The intrinsic background level is about 6 counts h 1 for an 3 He, 3 bar (1 bar ˆ 105 Pa) detector ( 50 mm, L 100 mm) in operational conditions. Of course, it is very important to protect the low-level part of the ampli®er from the discriminator and trigger by separating these two stages very carefully, and from electric and electronic parasites by using good ground connections. Additional parasitic effects might be produced by (i) high-voltage ¯ashes in the detector or in dirty or de®cient plugs, (ii) microphony, and (iii) particle emission by the detector walls (e:g: uranium impurities in aluminium, or activation). (b) discrimination. The discrimination of an 3 He detector is said to be 10 8 . From our own experience, we can say that a pure 3 He detector is insensitive to a dose up to 10 mGy h 1 (1 rem h 1 ). However, additional gases increase the -detection ef®ciency (Fischer, Radeka & Boie, 1983). For a good scintillator, the discrimination is of the order of 10 4 (Kurz & Schelten, 1983). (c) Stability. Under good conditions, the gas-detector stability has been veri®ed to be better than 3  10 4 =day and

10 3 =month. The stability of operational scintillators is probably about 10 3 =day but it is known to drift over longer periods of time. (d) Dead time and non-linear effects due to the count rate. The gas detector has a dead time of 1±10 ms depending on the duration of the analogue pulse, which is ®xed by the detector plus adapted electronic chain. The scintillator has a dead time about 10 times shorter, i:e: 0.2 to 1 ms. A rule of thumb is to keep the total dead time to less than 10% of the counting time, which ®xes the maximum counting rate. This limits the effects of non-linearity of the dead time as a function of the counting rate. Non-linear effects in gas detectors are complex and due to (i) the distortion of the electrostatic ®eld near the anode by the space charge, (ii) the decrease of the high voltage at the anode produced at high counting rates by the increased ionic current passing through the high-impedance ®lter, and (iii) the possible shift of the zero level of the charge preampli®er. (e) TOF requirements. In a TOF experiment, it is important to know exactly the time and place of each neutron capture. The thickness of the detector must be as small as possible in relation to the total ¯ight path (scintillators are roughly 10 times thinner than gas detectors). The delay between the neutron capture and the logic pulse given by the ampli®er gives an additional error. Again, the scintillator is about 10 times faster.

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7. MEASUREMENT OF INTENSITIES 7.3.7. Corrections to the intensity measurements depending on the detection system A good diffractometer on a reactor is supposed to give point by point for each solid-angle element d an exact image of the scattered intensity. This is never perfectly achieved in practice and necessitates some corrections. In all cases, it is very important to be aware that additional background might be created when part of the shielding or of the collimator intersect the monochromatic neutron beam. We suppose for the following discussion that this effect has been corrected or avoided. The wavelength dependence of the detector response (which is needed for inelasticity corrections or TOF measurements) is generally computed from the theoretical detector law [see equation (7.3.2.1)]. At each measuring point, the collected intensity is renormalized by the integrated incident neutron ¯ux, which is measured by the monitoring device. In the case of TOF measurements on a spallation source, the measured intensity must also be renormalized by the wavelength spectrum of the source, obtained from the measurement of an isotropic scatterer such as vanadium. 7.3.7.1. Single detector For up to 10% of dead time in the counting rate, the correction for the dead-time loss is generally considered as linear. If
t is the electronic dead time for one neutron (1±10 ms for the gas detectors) and n the number of counts per second, the dead-time correction factor is 1=…1 n
t†. 7.3.7.2. Banks of detectors In the case of a bank of detectors used for a powder diffractometer in a reactor, one has to calibrate the relative positions of the detectors and their response to the neutron intensity by scanning the detectors through a Bragg pattern. In the case of TOF measurements, the detector banks are installed at ®xed angles. For each detector, the measured intensity depends on the detector type, size, and distance to the sample. The neutron and background depends moreover on the detection angle. After background corrections, the intensities

measured by each detector bank are calibrated and matched using the overlaps between spectra. 7.3.7.3. Position-sensitive detectors (a) Calibration of the position. For multi-electrode PSDs, the relative position of the electrodes is ®xed and veri®ed at the time of construction. In the case of other PSDs with analogue encoding, an angular calibration is made periodically with the help of a Bragg pattern, a thin neutron beam, or a cadmium mask moved across a diffuse beam incident on the PSD (Berliner, Mildner, Sudol & Taub, 1983). (b) Calibration of the PSD homogeneity. The response function might be dependent on the position within the PSD and possibly on the intensities collected at other parts of the PSD. The homogeneity of response of a PSD, which is normally better than 5%, can be calibrated to a much higher accuracy, since the stability of the PSDs is generally very good (e:g: 0.1% or better for gas PSDs). In the case of a reactor, the classical method of calibration is the use of an isotropic scatterer such as vanadium. The calibration is made at angles that avoid the very small vanadium Bragg peaks (or with displacement of the PSD to several positions) and that keep a low and isotropic background. Calibration factors, sometimes called cell-ef®ciency coef®cients i , are then obtained. Considering the lack of isotropy of the vanadium pattern, this method is limited to about 1% accuracy. For small PSDs, a precision of 0.1% or better is obtainable by scanning the whole PSD with a step equal to the cell spacing through any nearly isotropic pattern. (c) Particular effects due to high intensities. The dead time of a PSD is complex. It depends on multiple parameters (the independent ampli®ers and the encoding±decoding procedure). However, if there is a unique decoding logic for the whole PSD, and if this gives the highest contribution to the dead time, the ratios of the peak intensities are then conserved. In the case of strong Bragg peaks, the parasitic effect of scattering by the PSD entrance window (e:g: 10 mm aluminium for high-pressure gas PSDs) is detectable and can be corrected after calibration (using an intense and well localized thin beam).

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International Tables for Crystallography (2006). Vol. C, Chapter 7.4, pp. 653–665.

7.4. Correction of systematic errors

By N. G. Alexandropoulos, M. J. Cooper, P. Suortti and B. T. M. Willis 7.4.1. Absorption The positions and intensities of X-ray diffraction maxima are affected by absorption, the magnitude of the effect depending on the size and shape of the specimen. Positional effects are treated as they are encountered in the chapters on experimental techniques. In structure determination, the effect of absorption on intensity may sometimes be negligible, if the crystal is small enough and the radiation penetrating enough. In general, however, this is not the case, and corrections must be applied. They are simplest if the crystal is of a regular geometric shape, produced either through natural growth or through grinding or cutting. Expressions for re¯ection from and transmission through a ¯at plate are given in Table 6.3.3.1, for re¯ection from cylinders in Table 6.3.3.2, and for re¯ection from spheres in Table 6.3.3.3. The calculation for a crystal bounded by arbitrary plane faces is treated in Subsection 6.3.3.3. The values of mass absorption (attenuation) coef®cients required for the calculation of corrections are given as a function of the element and of the radiation in Table 4.2.4.3. 7.4.2. Thermal diffuse scattering (By B. T. M. Willis) 7.4.2.1. Glossary of symbols bej ej …q† E j … q† Emeas E0 E1 F … h† h 2h H j k0 k kB mn m N q qm V vj vL  2 B  …0† d d

 …1† d d

 !j …q†

Direction cosines of ej …q† Polarization vector of normal mode … jq† Energy of mode … jq† Total integrated intensity measured under Bragg peak Integrated intensity from Bragg scattering Integrated intensity from one-phonon scattering Structure factor Planck's constant h divided by 2 Reciprocal-lattice vector Scattering vector Label for branch of dispersion relation Wavevector of incident radiation Wavevector of scattered radiation Boltzmann's constant Neutron mass Mass of unit cell Number of unit cells in crystal Wavevector of normal mode of vibration Radius of scanning sphere in reciprocal space Volume of unit cell Elastic wave velocity for branch j Mean velocity of elastic waves TDS correction factor Scattering angle Bragg angle

Thermal diffuse scattering (TDS) is a process in which the radiation is scattered inelastically, so that the incident X-ray photon (or neutron) exchanges one or more quanta of vibrational energy with the crystal. The vibrational quantum is known as a phonon, and the TDS can be distinguished as one-phonon (®rstorder), two-phonon (second-order), . . . scattering according to the number of phonons exchanged. The normal modes of vibration of a crystal are characterized as either acoustic modes, for which the frequency !…q† goes to zero as the wavevector q approaches zero, or optic modes, for which the frequency remains ®nite for all values of q [see Section 4.1.1 of IT B (1992)]. The one-phonon scattering by the acoustic modes rises to a maximum at the reciprocal-lattice points and so is not entirely subtracted with the background measured on either side of the re¯ection. This gives rise to the `TDS error' in estimating Bragg intensities. The remaining contributions to the TDS ± the two-phonon and multphonon acoustic mode scattering and all kinds of scattering by the optic modes ± are largely removed with the background. It is not easy in an X-ray experiment to separate the elastic (Bragg) and the inelastic thermal scattering by energy analysis, as the energy difference is only a few parts per million. However, this has been achieved by Dorner, Burkel, Illini & Peisl (1987) using extremely high energy resolution. The separation is also possible using MoÈssbauer spectroscopy. Fig. 7.4.2.1 shows the elastic and inelastic components from the 060 re¯ection of LiNbO3 (Krec, Steiner, Pongratz & Skalicky, 1984), measured with -radiation from a 57 Co MoÈssbauer source. The TDS makes a substantial contribution to the measured integrated intensity; in Fig. 7.4.2.1, it is 10% of the total intensity, but it can be much larger for higher-order re¯ections. On the other hand, for the extremely sharp Bragg peaks obtained with synchrotron radiation, the TDS error may be reduced to negligible proportions (Bachmann, Kohler, Schulz & Weber, 1985).

Differential cross section for Bragg scattering Differential cross section for one-phonon scattering Density of crystal Frequency of normal mode …jq†

Fig. 7.4.2.1. 060 re¯ection of LiNbO3 (MoÈssbauer diffraction). Inelastic (triangles), elastic (crosses), total (squares) and background (pluses) intensity (after Krec, Steiner, Pongratz & Skalicky, 1984).

653 Copyright © 2006 International Union of Crystallography 654 s:\ITFC\chap7-4.3d (Tables of Crystallography)

7. MEASUREMENT OF INTENSITIES Let Emeas represent the total integrated intensity measured in a diffraction experiment, with E0 the contribution from Bragg scattering and E1 that from (one-phonon) TDS. Then, Emeas ˆ E0 ‡ E1 ˆ E0 …1 ‡ †;

…7:4:2:1†

where  is the ratio E1 =E0 and is known as the `TDS correction factor'.  can be evaluated in terms of the properties of the crystal (elastic constants, temperature) and the experimental conditions of measurement. In the following, it is implied that the intensities are measured using a single-crystal diffractometer with incident radiation of a ®xed wavelength We shall treat separately the calculation of  for X-rays and for thermal neutrons.

involved are of small wavenumber, for which the dispersion relation can be written !j …q† ˆ vj q ; …7:4:2:5† where vj is the velocity of the elastic wave with polarization vector ej …q†. Substituting (7.4.2.5) into (7.4.2.4) shows that the intensity from the acoustic modes varies as 1=q2 , and so peaks strongly at the reciprocal-lattice points to give rise to the TDS error. Integrating the delta function in (7.4.2.4) gives the integrated one-phonon intensity E1 ˆ

7.4.2.2. TDS correction factor for X-rays (single crystals) The differential cross section, representing the intensity per unit solid angle for Bragg scattering, is   … 0† 2 d N …2†3 ˆ F …h† …H 2h†; V d

where N is the number of unit cells, each of volume V , and F …h† is the structure factor. H is the scattering vector, de®ned by Hˆk

k0 ;

with k and k0 the wavevectors of the scattered and incident beams, respectively. (The scattering is elastic, so k ˆ k0 ˆ 2=l, where l is the wavelength.) 2h is the reciprocal-lattice vector and the delta function shows that the scattered intensity is restricted to the reciprocal-lattice points. The integrated Bragg intensity is given by Z Z   … 0† d d dt E0 ˆ d

Z Z 2 …2†3 F …h† …H 2h† d dt; …7:4:2:2† ˆN V where the integration is over the solid angle subtended by the detector at the crystal and over the time t spent in scanning the re¯ection. Using R …H† dH ˆ 1; with dH ˆ H d, equation (7.4.2.2) reduces to the familiar result (James, 1962) Nl3 F …h† 2 ; …7:4:2:3† E0 ˆ V !0 sin 2 where !0 is the angular velocity of the crystal and 2 the scattering angle. The differential cross section for one-phonon scattering by acoustic modes of small wavevector q is  …1† 2 d …2†3 F …h† ˆ V d

3 X H
ej …q† E …q†…H  q 2h†  …7:4:2:4† m!2j …q† j jˆ1 [see Section 4.1.1 of IT B (1992)]. Here, ej …q† is the polarization vector of the mode … jq†, where j is an index for labelling the acoustic branches of the dispersion relations, m is the mass of the unit cell and Ej …q† is the mode energy. The delta function in (7.4.2.4) shows that the scattering from the mode … jq† is con®ned to the points in reciprocal space displaced by q from the reciprocal-lattice point at q ˆ 0. The acoustic modes

with  the crystal density. The sum over the wavevectors q is determined by the range of q encompassed in the intensity scan. The density of wavevectors is uniform in reciprocal space [see Section 4.1.1 of IT B (1992)], and so the sum can be replaced by an integral Z X NV dq: ! …2†3 q Thus, the correction factor …E1 =E0 † is given by Z 1  ˆ 3 J …q† dq; 8

…7:4:2:6†

where J …q† ˆ

X H
ej …q†2 j

!2 …q†

Ej …q†:

…7:4:2:7†

The integral in (7.4.2.6) is over the range of measurement, and the summation in (7.4.2.7) is over the three acoustic branches. Only long-wavelength elastic waves, with a linear dispersion relation, equation (7.4.2.5), need be considered. 7.4.2.2.1. Evaluation of J…q† The frequencies !j …q† and polarization vectors ej …q† of the elastic waves in equation (7.4.2.7) can be calculated from the classical theory of Voigt (1910) [see Wooster (1962)]. If b e1 , be2 , be3 are the direction cosines of the polarization vector with respect to orthogonal axes x, y, z, then the velocity vj is determined from the elastic stiffness constants cijkl by solving the following equations of motion.
be1 A11 v2j ‡ b e2 A12 ‡ b e3 A13 ˆ 0;
2 be1 A12 ‡ b e3 A23 ˆ 0; e2 A22 vj ‡ b
be1 A13 ‡ b e2 A23 ‡ b e3 A33 v2j ˆ 0: Here, Akm is the km element of a 3  3 symmetric matrix A; if b q2 , b q3 are the direction cosines of the wavevector q with q1 , b reference to x, y, z, the km element is given in terms of the elastic stiffness constants by Akm ˆ

3 P 3 P lˆ1 nˆ1

cklmn b ql b qn :

The four indices klmn can be reduced to two, replacing 11 by 1, 22 by 2, 33 by 3, 23 and 32 by 4, 31 and 13 by 5, and 12 and 21 by 6. The elements of A are then given explicitly by

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2 l3 H 2 F … h† 2 V !0 sin 2B   XX H
ej …q† 2 Ej …q†;  !2q …q† q j

7.4. CORRECTION OF SYSTEMATIC ERRORS A11 ˆ

c11b q21

c66b q22

and the axes of the reciprocal lattice. If S is the 3  3 matrix that transforms the scattering vector H from orthonormal axes to reciprocal-lattice axes, then

c55b q23

‡ ‡ ‡ 2c56b q2 b q3 ‡ 2c15b q3 b q1 ‡ 2c16b q1 b q2 ;

A22 ˆ c66b q21 ‡ c22b q22 ‡ c44b q23 ‡ 2c24b q2 b q3 ‡ 2c46b q3 b q1 ‡ 2c26b q1 b q2 ;

H ˆ Sh;

where h ˆ …h; k; l†. The ®nal expression for , from (7.4.2.11) and (7.4.2.12), is

A33 ˆ c55b q21 ‡ c44b q22 ‡ c33b q23 ‡ 2c34b q2 b q3 ‡ 2c35b q3 b q1 ‡ 2c45b q1 b q2 ; A12 ˆ

c16b q21

‡

c26b q22

‡

c45b q23

 ˆ hT ST TSh:

‡ …c25 ‡ c46 †b q2 b q3

‡ …c14 ‡ c56 †b q3 b q1 b q1 ‡ …c12 ‡ c66 †b q2 ; q2 b A13 ˆ c15b q21 ‡ c46b q22 ‡ c35b q23 ‡ …c36 ‡ c45 †b q3 ‡ …c13 ‡ c55 †b q3 b q1 b q1 ‡ …c14 ‡ c56 †b q2 ; q2 b A23 ˆ c56b q21 ‡ c24b q22 ‡ c34b q23 ‡ …c23 ‡ c44 †b q3 ‡ …c36 ‡ c45 †b q3 b q1 b q1 ‡ …c25 ‡ c46 †b q2 : The setting up of the matrix A is a fundamental ®rst step in calculating the TDS correction factor. This implies a knowledge of the elastic constants, whose number ranges from three for cubic crystals to twenty one for triclinic crystals. The measurement of elastic stiffness constants is described in Section 4.1.6 of IT B (1992). For each direction of propagation b q, there are three values of v2j … j ˆ 1; 2; 3†, given by the eigenvalues of A. The corresponding eigenvectors of A are the polarization vectors ej …q†. These polarization vectors are mutually perpendicular, but are not necessarily parallel or perpendicular to the propagation direction. The function J …q† in equation (7.4.2.7) is related to the inverse matrix A 1 by J …q† ˆ

3 X 3
kB T X A 1 mn Hm Hn ; 2 q mˆ1 nˆ1

…7:4:2:12†

T

…7:4:2:8†

where H1 , H2 , H3 are the x, y, z components of the scattering vector H, and classical equipartition of energy is assumed [Ej …q† ˆ kB T ]. Thus A 1 determines the anisotropy of the TDS in reciprocal space, arising from the anisotropic elastic properties of the crystal. Isodiffusion surfaces, giving the locus in reciprocal space for which the intensity J …q† is constant for elastic waves of a given wavelength, were ®rst plotted by Jahn (1942). These surfaces are not spherical even for cubic crystals (unless c11 c12 ˆ c44 ), and their shapes vary from one reciprocal-lattice point to another.

…7:4:2:13†

This is the basic formula for the TDS correction factor. We have assumed that the entire one-phonon TDS under the Bragg peak contributes to the measured integrated intensity, whereas some of it is removed in the background subtraction. This portion can be calculated by taking the range of integration in (7.4.2.10) as that corresponding to the region of reciprocal space covered in the background measurement. To evaluate T requires the integration of the function A 1 over the scanned region in reciprocal space (see Fig. 7.4.2.2). Both the function itself and the scanned region are anisotropic about the reciprocal-lattice point, and so the TDS correction is anisotropic too, i.e. it depends on the direction of the diffraction vector as well as on sin =l. Computer programs for calculating the anisotropic TDS correction for crystals of any symmetry have been written by Rouse & Cooper (1969), Stevens (1974), Merisalo & Kurittu (1978), Helmholdt, Braam & Vos (1983), and Sakata, Stevenson & Harada (1983). To simplify the calculation, further approximations can be made, either by removing the anisotropy associated with A 1 or that associated with the scanned region. In the ®rst case, the element Tmn is expressed as Z
 1 k T

Tmn ˆ B 3 A 1 mn dq; 8 q2 where the angle brackets indicate the average value over all directions. In the second case,

7.4.2.2.2. Calculation of  Inserting (7.4.2.8) into (7.4.2.6) gives the TDS correction factor as ˆ

3 P 3 P mˆ1 nˆ1

Tmn Hm Hn ;

…7:4:2:9†

where Tmn , an element of a 3  3 symmetric matrix T, is de®ned by
Z A 1 mn k T dq: …7:4:2:10† Tmn ˆ B 3 q2 8 Equation (7.4.2.9) can also be written in the matrix form  ˆ HT TH; T

…7:4:2:11†

with H ˆ …H1 ; H2 ; H3 † representing the transpose of H. The components of H relate to orthonormal axes, whereas it is more convenient to express them in terms of Miller indices hkl

Fig. 7.4.2.2. Diagrams in reciprocal space illustrating the volume abcd swept out for (a) an ! scan, and (b) a =2, or !=2, scan. The dimension of ab is determined by the aperture of the detector and of bc by the rocking angle of the crystal.

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Tmn ˆ

kB T q 83 m

7. MEASUREMENT OF INTENSITIES

Z Z A

1


mn

displacement factor is increased from B to B ‡
B when the correction is made.
B is given by

dS;

where qm is the radius of the sphere that replaces the anisotropic region (Fig. 7.4.2.2) actually scanned in the experiment, and dS is a surface element of this sphere. qm can be estimated by equating the volume of the sphere to the volume swept out in the scan. If both approximations are employed, the correction factor is isotropic and reduces to H 2 kB Tqm ; ˆ 32 v2L

…7:4:2:14†

with vL representing the mean velocity of the elastic waves, averaged over all directions of propagation and of polarization. Experimental values of  have been measured for several crystals by -ray diffraction of MoÈssbauer radiation (Krec & Steiner, 1984). In general, there is good agreement between these values and those calculated by the numerical methods, which take into account anisotropy of the TDS. The correction factors calculated analytically from (7.4.2.14) are less satisfactory. The principal effect of not correcting for TDS is to underestimate the values of the atomic displacement parameters. Writing exp   1 ‡ , we see from (7.4.2.14) that the overall


B ˆ

8kB Tqm : 32 v2L

Typically,
B=B is 10±20%. Smaller errors occur in other parameters, but, for accurate studies of charge densities or bonding effects, a TDS correction of all integrated intensities is advisable (Helmholdt & Vos, 1977; Stevenson & Harada, 1983). 7.4.2.3. TDS correction factor for thermal neutrons (single crystals) The neutron treatment of the correction factor lies along similar lines to that for X-rays. The principal difference arises from the different topologies of the one-phonon `scattering surfaces' for X-rays and neutrons. These surfaces represent the locus in reciprocal space of the end-points of the phonon wavevectors q (for ®xed crystal orientation and ®xed incident wavevector k0 ) when the wavevector k of the scattered radiation is allowed to vary. We shall not discuss the theory for pulsed neutrons, where the incident wavelength varies (see Popa & Willis, 1994). The scattering surfaces are determined by the conservation laws for momentum transfer, Hˆk and for energy transfer, h2 k 2

k0 ˆ 2h ‡ q;


k02 =2mn ˆ

"h!j …q†;

…7:4:2:15†

where mn is the neutron mass and h!j …q† is the phonon energy. " is either ‡1 or 1, where " ˆ ‡1 corresponds to phonon emission (or phonon creation) in the crystal and a loss in energy of the neutrons after scattering, and " ˆ 1 corresponds to phonon absorption (or phonon annihilation) in the crystal and a gain in neutron energy. In the X-ray case, the phonon energy is negligible compared with the energy of the X-ray photon, so that (7.4.2.15) reduces to k ˆ k0 ; and the scattering surface is the Ewald sphere. For neutron scattering, h!j …q† is comparable with the energy of a thermal neutron, and so the topology of the scattering surface is more complicated. For one-phonon scattering by long-wavelength acoustic modes with q  k0 , (7.4.2.15) reduces to k ˆ k0

" q;

where …ˆ vL =vn † is the ratio of the sound velocity in the crystal and the neutron velocity. If the Ewald sphere in the neighbourhood of a reciprocal-lattice point is replaced by its tangent plane, the scattering surface becomes a conic section with eccentricity 1= . For < 1, the conic section is a hyperboloid of two sheets with the reciprocal-lattice point P at one focus. The phonon

Fig. 7.4.2.3. Scattering surfaces for one-phonon scattering of neutrons: (a) for neutrons faster than sound ( < 1); (b) for neutrons slower than sound ( > 1). The scattering surface for X-rays is the Ewald sphere. P0 , P1 , etc. are different positions of the reciprocal-lattice point with respect to the Ewald sphere, and the scattering surfaces are numbered to correspond with the appropriate position of P.

Fig. 7.4.2.4. One-phonon scattering calculated for polycrystalline nickel of lattice constant a (after Suortti, 1980).

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7.4. CORRECTION OF SYSTEMATIC ERRORS wavevectors on one sheet correspond to scattering with phonon emission and on the other sheet to phonon absorption. For > 1, the conic section is an ellipsoid with P at one focus. Scattering now occurs either by emission or by absorption, but not by both together (Fig. 7.4.2.3). To evaluate the TDS correction, with q restricted to lie along the scattering surfaces, separate treatments are required for faster-than-sound … < 1† and for slower-than-sound … > 1† neutrons. The ®nal results can be summarized as follows (Willis, 1970; Cooper, 1971): (a) For faster-than-sound neutrons, the TDS rises to a maximum, just as for X-rays, and the correction factor is given by (7.4.2.13), which applies to the X-ray case. (This is a remarkable result in view of the marked difference in the one-phonon scattering surfaces for X-rays and neutrons.) (b) For slower-than-sound neutrons, the correction factor depends on the velocity (wavelength) of the neutrons and is more dif®cult to evaluate than in (a). However,  will always be less than that calculated for X-rays of the same wavelength, and under certain conditions the TDS does not rise to a maximum at all so that  is then zero. The sharp distinction between cases (a) and (b) has been con®rmed experimentally using the neutron Laue technique on single-crystal silicon (Willis, Carlile & Ward, 1986). 7.4.2.4. Correction factor for powders Thermal diffuse scattering in X-ray powder-diffraction patterns produces a non-uniform background that peaks sharply at the positions of the Bragg re¯ections, as in the single-crystal case (see Fig. 7.4.2.4). For a given value of the scattering vector, the one-phonon TDS is contributed by all those wavevectors q joining the reciprocal-lattice point and any point on the surface of a sphere of radius 2 sin =l with its centre at the origin of reciprocal space. These q vectors reach the boundary of the Brillouin zone and are not restricted to those in the neighbourhood of the reciprocal-lattice point. To calculate  properly, we require a knowledge, therefore, of the lattice dynamics of the crystal and not just its elastic properties. This is one reason why relatively little progress has been made in calculating the X-ray correction factor for powders.

Table 7.4.3.1. The energy transfer, in eV, in the Compton scattering process for selected X-ray energies Scattering angle ' … †

Cr K 5411 eV

Cu K 8040 eV

Mo K 17 443 eV

Ag K 22 104 eV

0 30 60 90 120 150 180

0 8 29 57 85 105 112

0 17 63 124 185 229 245

0 79 292 575 849 1043 1113

0 127 467 915 1344 1648 1757

Data calculated from equation (7.4.3.1).

imprecise except in the situations where Compton scattering is the dominant process. For this to be the case, there must be an encounter, conserving energy and momentum, between the incoming photon and an individual target electron. This in turn will occur if the energy lost by the photon,
E ˆ E1 E1 , clearly exceeds the one-electron binding energy, EB , of the target electron. Eisenberger & Platzman (1970) have shown that this binary encounter model ± alternatively known as the impulse approximation ± fails as …EB =
E†2 . The likelihood of this failure can be predicted from the Compton shift formula, which for scattering through an angle ' can be written.
E ˆ E1

E2 ˆ

mc2 ‰1

E12 …1 cos '† : ‡ …E1 =mc2 †…1 cos '†Š

…7:4:3:1†

This energy transfer is given as a function of the scattering angle in Table 7.4.3.1 for a set of characteristic X-ray energies; it ranges from a few eV for Cr K X-radiation at small angles, up to  2 keV for backscattered Ag K X-radiation. Clearly, in the majority of typical experiments Compton scattering will be inhibited from all but the valence electrons. 7.4.3.2. Non-relativistic calculations of the incoherent scattering cross section 7.4.3.2.1. Semi-classical radiation theory

7.4.3. Compton scattering (By N. G. Alexandropoulos and M. J. Cooper) 7.4.3.1. Introduction

For weak scattering, treated within the Born approximation, the incoherent scattering cross section, (d=d †inc , can be factorized as follows:

In many diffraction studies, it is necessary to correct the intensities of the Bragg peaks for a variety of inelastic scattering processes. Compton scattering is only one of the incoherent processes although the term is often used loosely to include plasmon, Raman, and resonant Raman scattering, all of which may occur in addition to the more familiar ¯uorescence radiation and thermal diffuse scattering. The various interactions are summarized schematically in Fig. 7.4.3.1, where the dominance of each interaction is characterized by the energy and momentum transfer and the relevant binding energy. With the exception of thermal diffuse scattering, which is known to peak at the reciprocal-lattice points, the incoherent background varies smoothly through reciprocal space. It can be removed with a linear interpolation under the sharp Bragg peaks and without any energy analysis. On the other hand, in noncrystalline material, the elastic scattering is also diffused throughout reciprocal space; the point-by-point correction is consequently larger and without energy analysis it cannot be made empirically; it must be calculated. These calculations are

Fig. 7.4.3.1. Schematic diagram of the inelastic scattering interactions,
E ˆ E1 E2 is the energy transferred from the photon and K the momentum transfer. The valence electrons are characterized by the Fermi energy, EF , and momentum, kF (h being taken as unity). The core electrons are characterized by their binding energy EB . The dipole approximation is valid when jKja < 1, where a is the orbital radius of the scattering electron.

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7. MEASUREMENT OF INTENSITIES Table 7.4.3.2. The incoherent scattering function for elements up to Z = 55 Ê 1† …sin †=l …A Element

0.10

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

1.00

1.50

2.00

1H 2 He 3 Li 4 Be 5B 6C 7N 8O 9F 10 Ne 11 Na 12 Mg 13 Al 14 Si 15 P 16 S 17 Cl 18 Ar 19 K 20 Ca 21 Sc 22 Ti 23 V 24 Cr 25 Mn 26 Fe 27 Co 28 Ni 29 Cu 30 Zn 31 Ga 32 Ge 33 As 34 Se 35 Br 36 Kr 37 Rb 38 Sr 39 Y 40 Zr 41 Nb 42 Mo 43 Tc 44 Ru 45 Rh 46 Pd 47 Ag 48 Cd 49 In 50 Sn 51 Sb 52 Te 53 I 54 Xe 55 Cs

0.343 0.296 1.033 1.170 1.147 1.039 1.08 0.977 0.880 0.812 1.503 2.066 2.264 2.293 2.206 2.151 2.065 1.956 2.500 3.105 3.136 3.114 3.067 2.609 2.949 2.891 2.832 2.772 2.348 2.654 2.791 2.839 2.793 2.799 2.771 2.703 3.225 3.831 3.999 4.064 3.672 3.625 3.987 3.559 3.499 3.103 3.362 3.700 3.852 3.917 3.871 3.097 3.903 3.841 4.320

0.769 0.881 1.418 2.121 2.531 2.604 2.858 2.799 2.691 2.547 2.891 3.444 4.047 4.520 4.732 4.960 5.074 5.033 5.301 5.690 5.801 5.860 5.858 5.577 5.791 5.781 5.764 5.726 5.455 5.631 5.939 6.229 6.365 6.589 6.748 6.760 7.062 7.464 7.700 7.879 7.684 7.690 7.984 7.857 7.863 7.725 7.785 7.980 8.297 8.615 8.811 9.076 9.287 9.340 9.615

0.937 1.362 1.795 2.471 3.190 3.643 4.097 4.293 4.347 4.269 4.431 4.771 5.250 5.808 6.312 6.795 7.182 7.377 7.652 7.981 8.169 8.312 8.375 8.206 8.380 8.432 8.469 8.461 8.310 8.388 8.599 8.912 9.236 9.601 9.940 10.157 10.431 10.746 11.010 11.236 11.213 11.260 11.512 11.531 11.591 11.441 11.598 11.812 12.083 12.415 12.777 13.171 13.564 13.892 14.217

0.983 1.657 2.143 2.744 3.499 4.184 4.792 5.257 5.552 5.644 5.804 6.064 6.435 6.903 7.435 8.002 8.553 8.998 9.405 9.790 10.071 10.304 10.454 10.415 10.604 10.733 10.844 10.894 10.778 10.901 11.082 11.338 11.658 12.033 12.440 12.828 13.206 13.576 13.899 14.176 14.317 14.444 14.653 14.782 14.883 14.824 14.969 15.185 15.444 15.746 16.088 16.466 16.876 17.307 17.753

0.995 1.817 2.417 3.005 3.732 4.478 5.182 5.828 6.339 6.640 6.903 7.181 7.523 7.937 8.419 8.960 9.539 10.106 10.650 11.157 11.561 11.901 12.156 12.264 12.486 12.687 12.867 12.980 12.942 13.094 13.290 13.536 13.828 14.168 14.552 14.969 15.410 15.860 16.279 16.658 16.949 17.196 17.456 17.685 17.858 17.943 18.082 18.263 18.489 18.760 19.067 19.407 19.227 20.175 20.612

0.998 1.902 2.613 3.237 3.948 4.690 5.437 6.175 6.832 7.320 7.724 8.086 8.459 8.867 9.323 9.829 10.382 10.967 11.568 12.163 12.648 13.140 13.514 13.770 14.062 14.343 14.596 14.780 14.847 15.020 15.233 15.486 15.775 16.098 16.456 16.849 17.282 17.745 18.215 18.672 19.081 19.455 19.816 20.150 20.428 26.653 20.858 21.064 21.288 21.541 21.823 22.134 22.471 22.833 23.228

0.994 1.947 2.746 3.429 4.146 4.878 5.635 6.411 7.151 7.774 8.313 8.784 9.225 9.667 10.131 10.626 11.158 11.726 12.329 12.953 13.545 14.093 14.574 14.960 15.346 15.716 16.050 16.317 16.494 16.709 16.947 17.215 17.511 17.835 18.185 18.562 18.974 19.420 19.891 20.373 20.844 21.300 21.748 22.172 22.557 22.904 23.212 23.501 23.779 24.059 24.349 25.655 24.980 25.324 25.691

0.999 1.970 2.834 3.579 4.320 5.051 5.809 6.596 7.376 8.085 8.729 9.304 9.830 10.330 10.827 11.336 11.867 12.424 13.014 13.635 14.256 14.856 15.413 15.902 16.376 16.831 17.249 17.602 17.885 18.163 18.445 18.741 19.056 19.391 19.747 20.123 20.526 20.956 21.416 21.895 22.386 22.877 23.370 23.855 24.318 24.756 25.162 25.546 25.906 26.252 26.590 26.927 27.269 27.619 27.981

1.000 1.983 2.891 3.693 4.469 5.208 5.968 6.755 7.552 8.312 9.028 9.689 10.296 10.864 11.411 11.952 12.499 13.061 13.645 14.256 14.885 15.509 16.111 16.670 17.211 17.737 18.229 18.664 19.043 19.395 19.734 20.074 20.420 20.778 21.149 21.535 21.940 22.367 22.820 23.294 23.787 24.288 24.797 25.312 25.819 26.316 26.792 27.252 27.691 28.113 28.518 28.912 29.298 29.680 30.064

1.000 1.990 2.928 3.777 4.590 5.348 6.113 6.901 7.703 8.490 9.252 9.975 10.652 11.286 11.888 12.472 13.050 13.629 14.220 14.830 15.460 16.095 16.721 17.323 17.910 18.488 19.039 19.543 20.002 20.427 20.831 21.224 21.612 22.003 22.399 22.804 23.221 23.654 24.110 24.583 25.077 25.581 26.093 26.621 27.148 27.677 28.195 28.705 29.203 29.687 30.157 30.613 31.056 31.488 31.914

1.000 1.999 2.989 3.954 4.895 5.781 6.630 7.462 8.288 9.113 9.939 10.766 11.592 12.408 13.209 13.990 14.750 15.489 16.212 16.921 17.630 18.334 19.032 19.730 20.411 21.097 21.777 22.445 23.107 23.745 24.370 24.983 25.583 26.171 26.747 27.313 27.871 28.423 28.970 29.517 30.067 30.620 31.173 31.740 32.309 32.888 33.465 34.046 34.634 35.226 35.822 36.422 37.024 37.628 38.232

1.000 2.000 2.998 3.989 4.973 5.930 6.860 7.764 8.648 9.517 10.376 11.229 12.083 12.937 13.790 14.641 15.487 16.324 17.152 17.970 18.782 19.585 20.379 21.168 21.938 22.704 23.462 24.211 24.957 25.683 26.400 27.109 27.810 28.504 29.190 29.870 30.543 31.210 31.870 32.522 33.167 33.808 34.447 35.081 35.715 36.349 36.983 37.618 38.255 38.894 39.536 40.181 40.827 41.477 42.129



d d



 inc

ˆ

d d

 0

S…E1 ; E2 ; K; Z†;

…7:4:3:2†

where (d=d †0 is the cross section characterizing the interaction, in this case it is the Thomson cross section, …e2 =mc2 †2 e1
e2 ; e1 and e2 being the initial and ®nal state photon

polarization vectors. The dynamics of the target are contained in the incoherent scattering factor S…E1 ; E2 ; K; Z†, which is usually a function of the energy transfer
E ˆ E1 E2 , the momentum transfer K, and the atomic number Z. The electromagnetic wave perturbs the electronic system through the vector potential A in the Hamiltonian

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7.4. CORRECTION OF SYSTEMATIC ERRORS 2

e e A
A: …7:4:3:3† p
A‡ 2me2 me It produces photoelectric absorption through the p
A term taken in ®rst order, Compton and Raman scattering through the A
A term and resonant Raman scattering through the p
A terms in second order. If resonant scattering is neglected for the moment, the expression for the incoherent scattering cross section becomes 2 P P 2 S ˆ …E2 =E1 † h f j exp…iK
rj †j i i …Ef Ei
E†; Hˆ

Table

Element Li B O Ne Mg Si Ar V Cr

j

f

…7:4:3:4† where the Born operator is summed over the j target electrons and the matrix element is summed over all ®nal states accessible through energy conservation. In the high-energy limit of
E  EB , S…E1 ; E2 ; K; Z† ! Z but as Table 7.4.3.1 shows this condition does not hold in the X-ray regime. The evaluation of the matrix elements in equation (7.4.3.4) was simpli®ed by Waller & Hartree (1929) who (i) set E2 ˆ E1 and (ii) summed over all ®nal states irrespective of energy conservation. Closure relationships were then invoked to reduce the incoherent scattering factor to an expression in terms of form factors fjk : Sˆ

P j

‰1

j fj …K†j2 Š

j 6ˆP k P j

k

j fjk …K†j2 ;

…7:4:3:5†

where fj …K† ˆ h j jexp…iK
rj †j j i and fjk ˆ h

k jexp‰iK


…rk

rj †Šj j i;

the latter term arising from exchange in the many-electron atom. According to Currat, DeCicco & Weiss (1971), equation (7.4.3.5) can be improved by inserting the prefactor …E2 =E1 †2 , where E2 is calculated from equation (7.4.3.1); the factor is an average for the factors inside the summation sign of equation (7.4.3.4) that were neglected by Waller & Hartree. This term has been included in a few calculations of incoherent intensities [see, for example, Bloch & Mendelsohn (1979)]. The Waller± Hartree method remains the chosen basis for the most extensive compilations of incoherent scattering factors, including those tabulated here, which were calculated by Cromer & Mann (1967) and Cromer (1969) from non-relativistic Hartree±Fock self-consistent-®eld wavefunctions. Table 7.4.3.2 is taken from the compilation by Hubbell, Veigele, Briggs, Brown, Cromer & Howerton (1975). 7.4.3.2.2. Thomas±Fermi model This statistical model of the atomic charge density (Thomas, 1927; Fermi, 1928) considerably simpli®es the calculation of coherent and incoherent scattering factors since both can be written as universal functions of K and Z. Numerical values were ®rst calculated by Bewilogua (1931); more recent calculations have been made by Brown (1966) and Veigele (1967). The method is less accurate than Waller±Hartree theory, but it is a much simpler computation. 7.4.3.2.3. Exact calculations The matrix elements of (7.4.3.4) can be evaluated exactly for the hydrogen atom. If one-electron wavefunctions in manyelectron atoms are modelled by hydrogenic orbitals [with a

Sexact

Simp

0.879 0.879 0.878 0.875 0.863 0.851 0.843 0.663 0.568

0.878 0.878 0.877 0.875 0.863 0.850 0.826 0.716 0.636

SW

H

0.877 0.877 0.876 0.875 0.872 0.868 0.877 0.875 0.875

Sexact is the incoherent scattering factor calculated analytically from a hydrogenic atomic model. Simp is the incoherent scattering factor calculated by taking the Compton pro®le derived in the impulse approximation and truncating it for
E < EB . SW H is the Waller± Hartree incoherent scattering factor. Data taken from Bloch & Mendelsohn (1974).

suitable choice of the orbital exponent; see, for example, Slater (1937)], an analytical approach can be used, as was originally proposed by Bloch (1934). Hydrogenic calculations have been shown to predict accurate K- and L-shell photoelectric cross sections (Pratt & Tseng, 1972). The method has been applied in a limited number of cases to K-shell (Eisenberger & Platzman, 1970) and L-shell (Bloch & Mendelsohn, 1974) incoherent scattering factors, where it has served to highlight the de®ciencies of the Waller±Hartree approach. In chromium, for example, at an incident energy of  17 keV and a Bragg angle of 85 , the L-shell Waller±Hartree cross section is higher than the `exact' calculation by  50%. A comparison of Waller±Hartree and exact results for 2s electrons, taken from Bloch & Mendelsohn (1974), is given in Table 7.4.3.3 for illustration. The discrepancy is much reduced when all electrons are considered. In those instances where the exact method has been used as a yardstick, the comparison favours the `relativistic integrated impulse approximation' outlined below, rather than the Waller± Hartree method. 7.4.3.3. Relativistic treatment of incoherent scattering The Compton effect is a relativistic phenomenon and it is accordingly more satisfactory to start from this basis, i.e. the Klein & Nishina (1929) theory and the Dirac equation (see Jauch & Rohrlich, 1976). In second-order relativistic perturbation theory, there is no overt separation of p
A and A
A terms. The inclusion of electron spin produces additional terms in the Compton cross section that depend upon the polarization (Lipps & Tolhoek, 1954); they are generally small at X-ray energies. They are of increasing interest in synchrotron-based experiments where the brightness of the source and its polarization characteristics compensate for the small cross section (Blume & Gibbs, 1988). Somewhat surprisingly, it is the spectral distribution, d2 = d dE2 , rather than the total intensity, d= d , which is the better understood. This is a consequence of the exploitation of the Compton scattering technique to determine electron momentum density distributions through the Doppler broadening of the scattered radiation [see Cooper (1985) and Williams (1977) for reviews of the technique]. Manninen, Paakkari & Kajantie (1976) and Ribberfors (1975) have shown that the

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7.4.3.3. Compton scattering of Mo K X-radiation through 170  from 2s electrons

7. MEASUREMENT OF INTENSITIES Compton pro®le ± the projection of the electron momentum density distribution onto the X-ray scattering vector ± can be isolated from the relativistic differential scattering cross section within the impulse approximation. Several experimental and theoretical investigations have been concerned with understanding the changes in the spectral distribution when electron binding energies cannot be discounted. It has been found (e.g. Pattison & Schneider, 1979; Bloch & Mendelsohn, 1974) that, to a high degree of accuracy, the spectral distribution is merely truncated at energy transfers E  EB . This has led to the suggestion that the incoherent intensity can be obtained by integrating the spectral distributions, i.e. from d ˆ d

Z1 E1 EB

d2  dE2 : d dE2

…7:4:3:6†

Unfortunately, this requires the Compton pro®le of each electron shell as input [Compton line shapes have been tabulated by Biggs, Mendelsohn & Mann (1975)] for all elements. Ribberfors (1983) and Ribberfors & Berggren (1982) have shown that this calculation can be dramatically simpli®ed, without loss of accuracy, by crudely approximating the Compton line shape. Fig. 7.4.3.2 shows the incoherent scattering from aluminium, modelled in this way, and compared with experiment, Waller±Hartree theory, and an exact integral of the truncated impulse Compton pro®le. 7.4.3.4. Plasmon, Raman, and resonant Raman scattering In typical X-ray experiments, as is evident from Table 7.4.3.1, the energy transfer may be so low that Compton scattering will be inhibited from all but the most loosely bound electrons. Indeed, in the situation in metals where K, the momentum transfer, is less than kF (the Fermi momentum), Compton scattering from the conduction electrons may be restricted by exclusion because of the lack of unoccupied ®nal states [see Bushuev & Kuz'min (1977)].

Fortunately, in these uncertain circumstances, the incoherent intensities are low. In this regime, the electron gas may be excited into collective motion. For almost all solids, the plasmon excitation energy is 20±30 eV and, in the random phase approximation, the incoherent scattering factor becomes S…
E; K† / …K 2 =wp †…
E h!p †; where !p is the plasma frequency. At slightly higher energies …
E  EB ), Compton scattering and Raman scattering can coexist, though the Raman component is only evident at low momentum transfer (Bushuev & Kuz'min, 1977). The resultant spectrum is often referred to as the Compton±Raman band. In semi-classical radiation theory, Raman scattering is usually differentiated from Compton scattering by dropping the requirement for momentum conservation between the photon and the individual target electron, the recoil being absorbed by the atom. The Raman band corresponds to transitions into the lowest unoccupied levels and these can be calculated within the dipole approximation as long as jKja < 1, where K is the momentum transfer and a the orbital radius of the core electron undergoing the transition. The transition probability in equation (7.4.3.4) becomes P jh f jrj i ij2 …Ef Ei
E†; …7:4:3:7† f

which implies that the near-edge structure is similar to the photoelectric absorption spectrum. Whereas plasmon and Raman scattering are unlikely to make dramatic contributions to the total incoherent intensity, resonant Raman scattering (RRS) may, when E1  EB . The excitation involves a virtual K-shell vacancy in the intermediate state and a vacancy in the L (or M or N) shell and an electron in the continuum in the ®nal state. It has now been observed in a variety of materials [see, for example, Sparks (1974), Eisenberger, Platzman & Winick (1976), Schaupp et al. (1984)]. It was predicted by Gavrila & Tugulea (1975) and the theory has been Ê berg & Tulkki (1985). The effect is treated comprehensively by A the exact counterpart, in the inelastic spectrum, of anomalous

Fig. 7.4.3.2. The incoherent scattering function, S…x; Z†=Z, per electron for aluminium shown as a function of x ˆ …sin †=l. The Waller±Hartree theory (





) is compared with the truncated impulse approximation in the tabulated Compton pro®les (Biggs, Mendelsohn & Mann, 1975) cutoff at E < EB for each electron group (Ð). The third curve (± ± ±) shows the simpli®cation introduced by Ribberfors (1983) and Ribberfors & Berggren (1982). The predictions are indistinguishable to within experimental error except at low …sin †=l. Reference to the measurements can be found in Ribberfors & Berggren (1982).

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7.4. CORRECTION OF SYSTEMATIC ERRORS

Fig. 7.4.3.3. The cross section for resonant Raman scattering (RRS) and ¯uorescence (F) as a function of the ratio of the incident energy, E, and the K-binding energy, EB . The units of d=d are …e2 =mc2 †2 and the data are taken from Bannett & Freund (1975). For comparison, the intensity of Compton scattering (C) from copper through an angle of 30 is also shown [data taken from Hubbell et al. (1975)].

scattering in the elastic spectrum. It is important because, as the resonance condition is approached, the intensity will exceed that due to Compton scattering and therefore play havoc with any corrections to total intensities based solely on the latter. Although systematic tabulations of resonance Raman scattering do not exist, Fig. 7.4.3.3, which is based on the calculations of Bannett & Freund (1975), shows how the intensity of RRS clearly exceeds that of the Compton scattering for incident energies just below the absorption edge. However, since the problems posed by anomalous scattering and X-ray ¯uorescence are generally appreciated, the energy range 0:9 < E1 =EB < 1:1 is wisely avoided by crystallographers intent upon absolute intensity measurements. 7.4.3.5. Magnetic scattering Finally, and for completeness, it should be noted that the intensity of Compton scattering from a magnetic material with a net spin moment will, in principle, differ from that from a nonmagnetic material. For unpolarized radiation, the effects are only discernible at photon energies greatly in excess of the electron rest mass energy, mc2 ˆ 511 keV, but for circularly polarized radiation effects at the 1% level can be found in Compton scattering experiments carried out at E1 ' 1=10 mc2 on ferromagnets such as iron. See Lipps & Tolhoek (1954) for a comprehensive description of polarization phenomena in magnetic scattering and Lovesey (1993) for an account of the scattering theory. 7.4.4. White radiation and other sources of background (By P. Suortti) 7.4.4.1. Introduction By de®nition, the background includes everything except the signal. In an X-ray diffraction measurement, the signal is the pattern of Bragg re¯ections. The pro®les of the re¯ections should be determined by the structure of the sample, and so the broadening due to the instrument should be considered as background. In the ideal angle-dispersive experiment, a well collimated beam of X-rays having a well de®ned energy (and a polarization, perhaps) falls on the sample, and only the radiation scattered by the sample is detected. Furthermore, the detector should be able to resolve all the components of scattering by

energy, so that each scattering process could be studied separately. It is obvious that only after this kind of analysis are the Bragg re¯ections (plus the possible disorder scattering) unequivocally separated from the background arising from other processes. In most cases, however, this analysis is not feasible, and the re¯ections are separated by using certain assumptions concerning their pro®le, and the success of this procedure depends on the peak-to-background ratio. The ideal situation described above is all too often not encountered, and experimenters are satis®ed with too low a level of resolution. The aim of the present article is to point out the sources of the unwanted and unresolved components of the registered radiation and to suggest how these may be eliminated or resolved, so that the quality of the diffraction pattern is as high as possible. The article can cover only a few of the possible experimental situations, and only the `almost ideal' angledispersive instrument is considered. It is assumed that the beam incident on the sample is monochromatized by re¯ection from a crystal and that the scattered radiation is registered by a lownoise quantum detector, which is the standard arrangement for modern diffractometers. Filtered radiation and photographic recording are used in certain applications, but these are excluded from the following discussion. The wavelength-dispersive or Laue methods are becoming popular at the synchrotron-radiation laboratories, and a short comment on these techniques will be included. Other sections of this volume deal with the components of scattering that are present even in the ideal experiment: thermal diffuse scattering (TDS), Compton and plasmon scattering, ¯uorescence and resonant Raman scattering, multiple scattering (coherent and incoherent), and disorder scattering. The rest of the background may be termed `parasitic' scattering, and it arises from three sources: (1) impurities of the incident beam; (2) impurities of the sample; (3) surroundings of the sample. Parasitic scattering is occasionally mentioned in the literature, but it has hardly ever been the subject of a detailed study. Therefore, the present article will discuss the general principles of the minimization of the background and then illustrate these ideas with examples. Most of the discussion will be directed to the ®rst of the three sources of parasitic scattering, because the other two depend on the details of the experiment.

7.4.4.2. Incident beam and sample An ideal diffraction experiment should be viewed as an X-ray optical system where all the parts are properly matched for the desired resolution and ef®ciency. The impurities of the incident beam are the wavelengths and divergent rays that do not contribute to the signal but scatter from the sample through the various processes mentioned above. The propagation of the X-ray beam through the instrument is perhaps best illustrated by the so-called phase-space analysis. The three-dimensional version, which will be used in the following, was introduced by Matsushita & Kaminaga (1980) and was elaborated further by Matsushita & Hashizume (1983). The width, divergence and wavelength range of the beam are given as a contour diagram, which originates in the X-ray source, and is modi®ed by slits, monochromator, sample, and the detection system. The actual ®ve-dimensional diagram is usually given as three-dimensional projections on the plane of diffraction and on the plane perpendicular to it and the beam axis, and in most cases the ®rst projection is suf®cient for an adequate description of the geometry of the experiment.

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7. MEASUREMENT OF INTENSITIES The limitations of the actual experiments are best studied through a comparison with the ideal situation. A close approximation to the ideal experimental arrangement is shown in Fig. 7.4.4.1 as a series of phase-space diagrams. The characteristic radiation from a conventional X-ray tube is almost uniformly distributed over the solid angle of 2, and the relative width of the K1 or K2 emission line is typically


l=l ˆ 5  10 4 . The acceptance and emittance windows of a ¯at perfect crystal are given in Fig. 7.4.4.1(b). The angular acceptance of the crystal (Darwin width) is typically less than 10 4 rad, and, if the width of the slit s or that of the crystal is small enough, none of the K2 distribution falls within the window. Therefore, it is suf®cient to study the size and divergence distributions of the beam in the l…K1 † plane only, as shown in Fig. 7.4.4.1(c). The beam transmitted by the ¯at monochromator and a slit is shown as the hatched area, and the part re¯ected by a small crystal by the cross-hatched area. The re¯ectivity curve of the crystal is probed when the crystal is rotated. In this schematic case, almost 100% of the beam contributes to the signal. The typical re¯ection pro®le shown in Fig. 7.4.4.2 reveals the details of the crystallite distribution of the sample (Suortti, 1985). The broken curve shows the calculated pro®le of the same re¯ection if the incident beam from a mosaic crystal monochromator had been used (see below). The window of acceptance of a ¯at mosaic crystal is determined by the width of the mosaic distribution, which may be 100 times larger than the Darwin width of the re¯ection in

Fig. 7.4.4.2. Re¯ection 400 of LiH measured with a parallel beam of Mo K1 radiation (solid curve). The broken curve shows the re¯ection as convoluted by a Gaussian instrumention function of 2 ˆ 0:1 and …2 † …1 † ˆ 0:13 , which values are comparable with those in Fig. 7.4.4.4.

Fig. 7.4.4.1. Equatorial phase-space diagrams for a conventional X-ray source and parallel-beam geometry; x is the size and x0 ˆ dx=dz the divergence of the X-rays. (a) Radiation distributions for two wavelengths, l1 and l2 , at the source of width
x, and downstream at a slit of width s1 . (b) Acceptance and emittance windows of a ¯at perfect crystal, where the phase-space volume remains constant, Awa
l ˆ Ewe
l, and the …x0 ; l† section shows the re¯ection of a polychromatic beam (Laue diffraction). (c) Distributions for one wavelength at the source, ¯at perfect-crystal monochromator, sample (marked with the broken line), and the receiving slit (RS); z is the distance from the source.

Fig. 7.4.4.3. Equatorial phase-space diagrams for two wavelengths, l1 (solid lines) and l2 (broken lines), projected on the plane l ˆ l1 . The monochromator at z ˆ 200 mm is a ¯at mosaic crystal, and a small sample is located at z ˆ 400 mm, as shown by the shaded area. The re¯ected beams at the receiving slit are shown for the …‡; ‡† and …‡; † con®gurations of the monochromator and the sample.

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7.4. CORRECTION OF SYSTEMATIC ERRORS question. This means that a convergent beam is re¯ected in the same way as from a bent perfect crystal in Johann or Johansson geometry. Usually, the window is wide enough to transmit an energy band that includes both K1 and K2 components of the incident beam. The distributions of these components are projected on the …x; x0 ; l1 † plane in Fig. 7.4.4.3. The sample is placed in the (para)focus of the beam, and often the divergence of the beam is much larger than the width of the rocking curve of the sample crystal. This means that at any given time the signal comes from a small part of the beam, but the whole beam contributes to the background. The pro®le of the re¯ection is a convolution of the actual rocking curve with the divergence and wavelength distributions of the beam. The calculated pro®le in Fig. 7.4.4.2 demonstrates that in a typical case the pro®le is determined by the instrument, and the peak-to-background ratio is much worse than with a perfect-crystal monochromator. An alternative arrangement, which has become quite popular in recent years, is one where the plane of diffraction at the monochromator is perpendicular to that at the sample. The beam is limited by slits only in the latter plane, and the wavelength varies in the perpendicular plane. An example of rocking curves measured by this kind of diffractometer is given in Fig. 7.4.4.4. The K1 and K2 components are seen separately plus a long tail due to continuum radiation, and the pro®le is that of the divergence of the beam. In the Laue method, a well collimated beam of white radiation is re¯ected by a stationary crystal. The wavelength band re¯ected by a perfect crystal is indicated in Fig. 7.4.4.1(b). The mosaic blocks select a band of wavelengths from the incident beam and the wavelength deviation is related to the angular deviation by
l=l ˆ cot 
. The angular resolution is determined by the divergences of the incident beam and the spatial resolution of the detector. The detector is not energy dispersive, so that the background arises from all scattering that reaches the detector. An estimate of the background level involves integrations over the incident spectrum at a ®xed scattering angle, weighted by the cross sections of inelastic scattering and the attenuation factors. This calculation is very complicated, but at any rate the background level is far higher than that in a diffraction measurement with a monochromatic incident beam.

the sample (!=2 scan). The included TDS depends on these choices, but otherwise the amount of background is proportional to the area of the receiving slit. It is obvious from a comparison between Fig. 7.4.4.1 and Fig. 7.4.4.3 that a much smaller receiving slit is suf®cient in the parallel-beam geometry than in the conventional divergent-beam geometry. Mathieson (1985) has given a thorough analysis of various monochromator± sample±detector combinations and has suggested the use of a two-dimensional !=2 scan with a narrow receiving slit. This provides a deconvolution of the re¯ection pro®le measured with a divergent beam, but the same result with better intensity and resolution is obtained by the parallel-beam techniques. The above discussion has concentrated on improving the signal-to-background ratio by optimization of the diffraction geometry. This ratio can be improved substantially by an energydispersive detector, but, on the other hand, all detectors have some noise, which increases the background. There have been marked developments in recent years, and traditional technology has been replaced by new constructions. Much of this work has been carried out in synchrotron-radiation laboratories (for

7.4.4.3. Detecting system The detecting system is an integral part of the X-ray optics of a diffraction experiment, and it can be included in the phase-space diagrams. In single-crystal diffraction, the detecting system is usually a rectangular slit followed by a photon counter, and the slit is large enough to accept all the re¯ected beam. The slit can be stationary during the scan (! scan) or follow the rotation of

Fig. 7.4.4.4. Two re¯ections of beryllium acetate measured with Mo K. The graphite (002) monochromator re¯ects in the vertical plane, while the crystal re¯ects in the horizontal plane. The equatorial divergence of the beam is 0.8 , FWHM.

Fig. 7.4.4.5. Components of scattering at small scattering angles when the incident energy is just below the K absorption edge of the sample [upper part, (a)], and at large scattering angles when the incident energy is about twice the K-edge energy [upper part, (b)]. The abbreviations indicate resonant Raman scattering (RRS), plasmon (P) and Compton (C) scattering, coherent scattering (Coh) and sample ¯uorescence (K and K ). The lower part shows these components as convoluted by the resolution function of the detector: (a) a SSD and (b) a scintillation counter (Suortti, 1980).

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7. MEASUREMENT OF INTENSITIES references, see Thomlinson & Williams, 1984; Brown & Lindau, 1986). A position-sensitive detector can replace the receiving slit when a reciprocal space is scanned. TV area detectors with an X-ray-to-visible light converter and two-dimensional CCD arrays have moderate resolution and ef®ciency, but they work in the current mode and do not provide pulse discrimination on the basis of the photon energy. One- and two-dimensional proportional chambers have a spatial resolution of the order of 0.1 mm, and the relative energy resolution,
E=E ' 0:2, is suf®cient for rejection of some of the parasitic scattering. The NaI(Tl) scintillation counter is used most frequently as the X-ray detector in crystallography. It has 100% ef®ciency for the commonly used wavelengths, and the energy resolution is comparable to that of a proportional counter. The detector has a long life, and the level of the low-energy noise can be reduced to about 0.1 counts s 1 . The Ge and Si(Li) solid-state detectors (SSD) have an energy resolution
E=E ˆ 0:01 to 0.03 for the wavelengths used in crystallography. The relative Compton shift,
l=l, is Ê …0:024 A=l†  …1 cos 2†, where 2 is the scattering angle, so that even this component can be eliminated to some extent by a SSD. These detectors have been bulky and expensive, but new

Fig. 7.4.4.6. Equatorial phase-space diagrams for powder diffraction in the Bragg±Brentano geometry. (a) The acceptance and emittance windows of a Johannson monochromator; (b) the beam in the l ˆ l1 plane: the exit beam from the Johansson monochromator is shown by the hatched area (z ˆ 100 mm), the beam on the sample by two closely spaced lines, the re¯ectivity range of powder particles in a small area of the sample by the hatched area (z ˆ 300 mm, note the change of scales), and the scan of the re¯ected beam by a slit RS by broken lines (z ˆ 400 mm, at the parafocus).

constructions that are suitable for X-ray diffraction have become available recently. The effects of the detector resolution are shown schematically in Fig. 7.4.4.5 for a scintillation counter and a SSD. Crystal monochromators placed in front of the detector eliminate all inelastic scattering but the TDS. The monochromator must be matched with the preceding X-ray optical system, the sample included, and therefore diffracted-beam monochromators are used in powder diffraction only (see Subsection 7.4.4.4). 7.4.4.4. Powder diffraction The signal-to-background ratio is much worse in powder diffraction than in single-crystal diffraction, because the background is proportional to the irradiated volume in both cases, but the powder re¯ection is distributed over a ring of which only the order of 1% is recorded. The phase-space diagrams of a typical measurement are shown in Fig. 7.4.4.6. The Johansson monochromator is matched to the incident beam to provide

Fig. 7.4.4.7. Three measurements of the 220 re¯ection of Ni at Ê scaled to the same peak value; (a) in linear scale, (b) in l ˆ 1:541 A logarithmic scale. Dotted curve: graphite (00.2) Johann monochromator, conventional 0.1 mm wide X-ray source (Suortti & Jennings, 1977); solid curve: quartz (10.1) Johansson monochromator, conventional 0.05 mm wide X-ray source; broken curve: synchrotron radiation monochromatized by a (‡; ) pair of Si (111) crystals, where the second crystal is sagittally bent for horizontal focusing (Suortti, Hastings & Cox, 1985). The horizontal line indicates the half-maximum value. In all cases, the effective slit width is much less than the FWHM of the re¯ection.

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7.4. CORRECTION OF SYSTEMATIC ERRORS maximum ¯ux and good energy resolution. The Bragg±Brentano geometry is parafocusing, and, if the geometrical aberrations are ignored, the re¯ected beam is a convolution between the angular width of the monochromator focus (as seen from the sample) and the re¯ectivity curve of an average crystallite of the powder sample. The pro®le of this function is scanned by a narrow slit, as shown in the last diagram. The slit can be followed with a Johann or Johansson monochromator that has a narrow wavelength pass-band. In this case, there is no primary-beam monochromator, so that the incident beam at the sample is that given at z ˆ 100 mm. The slit RS is the `source' for the monochromator, which focuses the beam at the detector. The obvious advantages of this arrangement are counterbalanced by certain limitations such as that the effective receiving slit is determined by the re¯ectivity curve of the monochromator, and this may vary over the effective area. Examples of a powder re¯ection measured with different Ê radiation are given in Fig. 7.4.4.7. It instruments and 1.5 A should be noticed that scattering from the impurities of the sample and from the sample environment is negligible in all three cases. The width of the mosaic distribution of the 00.2 re¯ection of the pyrolytic graphite monochromator is 0.3 , Ê ) wide transmitted beam. which corresponds to a 180 eV (0.034 A This is almost 10 times the separation between K1 and K2 , and 70 times the natural width of the K1 line. The width of the focal line is about 0.2 mm, or 0.07 , and is seen as broadening of the re¯ection pro®le. The quartz (10.1) monochromator re¯ects a band that is determined by the projected width of the X-ray source. In the present case, the band is 15 eV wide, so that the monochromator can be tuned to transmit the K1 component only. The focal line is very sharp, 0.05 mm wide, and so the re¯ection is much narrower than in the preceding case. The third measurement was made with synchrotron radiation, and the receiving slit was replaced by a perfect-crystal analyser. The divergences of the incident and diffracted beams are about 0.1 mrad (less than 0.01 ) in the plane of diffraction, so that the ideal parallel-beam geometry should prevail. However, the

re¯ection is clearly broader than that measured with the conventional diffractometer. The reason is a wavelength gradient across the beam, which was monochromatized by a ¯at perfect crystal. On the other hand, the Ge (111) analyser crystal transmits elastic scattering and TDS only, and 2 away from the peak the background is 0.5% of the maximum intensity. The above considerations may seem to have little relevance to everyday crystallographic practices. Unfortunately, many standard methods yield diffraction patterns of poor quality. The quest for maximum integrated intensity has led to designs that make re¯ections broad and background high. It should be realized that not the ¯ux but the brilliance of the incident beam is important in a diffraction measurement. The other aspect is that the information should not be lost in the experiment, and a divergent wide wavelength band is quite an ignorant probe of a re¯ection from a single crystal. A situation where even small departures from the ideal diffraction geometry may cause large effects is measurement at an energy just below an absorption edge. Even a small tail of the energy band of the incident beam may excite radiation that becomes the dominant component of background. Similar effects are due to the harmonic energy bands re¯ected by most monochromators, particularly when the continuous spectrum of synchrotron radiation is used. Scattering from the surroundings of the sample can be eliminated almost totally by shielding and beam tunnels. The general idea of the construction should be that an optical element of the instrument `sees' the preceding element only. Inevitably, the detector sees some of the environment of the sample. The density of air is about 1=1000 of that of a solid sample, so that 10 mm3 of irradiated air contributes to the background as much as a spherical crystal of 0.3 mm diameter. Strong spurious peaks may arise from slit edges and entrance windows of the specimen chamber, which should never be seen by the detector. A complete measurement without the sample is always a good starting point for an experiment.

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International Tables for Crystallography (2006). Vol. C, Chapter 7.5, pp. 666–676.

7.5. Statistical ¯uctuations By A. J. C. Wilson

7.5.1. Distributions of intensities of diffraction Intensities of diffraction have two distinct probability distributions: (1) the a priori probability that an arbitrarily chosen re¯ection of a particular substance will have a particular `true' intensity (R in the notation used below), and (2) the probability that a `true' R will have an observed value Ro . The distributions of the ®rst type depend on the symmetry and composition of the material, and are treated in Chapter 2.1 of Volume B of International Tables for Crystallography (Shmueli, 1993). The distributions of ¯uctuations of the second type, variations of the values Ro observed for a particular re¯ection, are treated here. The crude counts or counting rates are rarely used directly in crystallographic calculations; they are subjected to some form of data processing to provide `intensities of re¯ection' Io in a form suitable for the determination of crystal structures, electron densities, line pro®les for the study of defects, etc. The resulting intensity for the jth re¯ection, Io; j , will be directly proportional to the corresponding Ro; j ; when no confusion can arise, one of the subscripts will be omitted. The value of the proportionality factor cj in Io; j ˆ cj Ro; j

…7:5:1:1†

will be different for different re¯ections, since they will occur at different Bragg angles, have different absorption corrections, etc.

(for the estimation of weights in re®nement processes, see Part 8) of the distribution function. 7.5.3. Fixed-time counting In the absence of disturbing in¯uences (mains-voltage ¯uctuations, unrecti®ed or unsmoothed high-tension supplies, `dead time' of the counter or counter circuits, etc.), the number of counts recorded during the predetermined time interval used in the ®xed-time mode will ¯uctuate in accordance with the Poisson probability distribution. If the `true' number of counts to be expected in the interval is N, the probability that the observed number will be No is given by p…No † ˆ exp… N†N No =No !;

where all quantities appearing are necessarily non-negative. Both the mean and the variance of No are N. If the `true' number of counts to be expected when the diffractometer is set to receive a re¯ection is T , and the `true' number when it is set to receive the immediate background is B, the `true' intensity of the re¯ection is RˆT

R o ˆ To

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…7:5:3:2†

Bo ;

…7:5:3:3†

will also ¯uctuate, and can, occasionally, take on negative values. The treatment of `measured-as-negative' intensities is discussed in Section 7.5.6. Although the sum of two Poisson-distributed variables is also Poisson, the difference is not, and the probability of Ro given by (7.5.3.3) has been shown to be (Skellam, 1946; Wilson, 1978) p…Ro † ˆ expf …B ‡ T †g…T =B†Ro =2 IjRo j ‰2…BT †1=2 Š;

…7:5:3:4†

where In is the hyperbolic Bessel function of the ®rst kind. The mean and variance of Ro are T B and T ‡ B, respectively. If the times used for re¯ection and background are not equal, but are in the ratio of k : 1, the mean and variance of R o ˆ To

kBo

…7:5:3:5†

2

are T kB and T ‡ k B, respectively. The distribution of Ro then involves a generalized Bessel function* depending on k: k p…Ro † ˆ expf …B ‡ T †g…T 2 k =B†Ro =2 IjR ‰2…BT k †1=2 Š; oj

…7:5:3:6†

for the properties of the generalized Bessel function, see Wright (1933) and Olkha & Rathie (1971). The probability distributions (7.5.3.4) and (7.5.3.6) seem to be very close to a normal distribution with the same mean and variance for Ro near R, but the probability of moderate deviations from R is less than normal and for large deviations is greater than normal. In applications, it is usual to work with intensities expressed as counting rates, rather than as numbers of counts, even when ®xed-time counting is used. The total intensity  expressed as a counting rate is * The term `generalized Bessel function' seems to have no unique meaning in mathematics. The functions given that name by Paciorek & Chapuis (1994) belong to a different group.

666 Copyright © 2006 International Union of Crystallography

B;

provided that the time interval used for the re¯ection is equal to the time interval used for the background. In practice, the `observed' values of To and Bo ¯uctuate with probabilities given by (7.5.3.1) with T or B replacing N, so that the observed value,

7.5.2. Counting modes Whatever the radiation, in both single-crystal and powder diffractometry, the integrated intensity of a re¯ection is obtained as a difference between a counting rate averaged over a volume of reciprocal space intended to include the re¯ected intensity and a counting rate averaged over a neighbouring volume of reciprocal space intended to include only background. If these intentions are not effectively realized, there will be a systematic error in the measured intensity, but in any case there will be statistical ¯uctuations in the counting rates. The two basic modes (Parrish, 1956) are ®xed-time counting and ®xed-count timing. In the ®rst, counts are accumulated for a pre-determined time interval, and the variance of the observed counting rate is proportional to the true (mean) counting rate. In the second, on the other hand, the counting is continued until a pre-determined number of counts is reached, and the variance of the observed counting rate is proportional to the square of the true counting rate. Put otherwise, the relative error in the intensities goes down inversely as the square root of the intensity for ®xed-time counting, whereas it is independent of the intensity for ®xedcount timing. Each mode has advantages, depending on the purpose of the measurements, and numerous modi®cations and compromises have been proposed in order to increase the ef®ciency of the use of the available time. References to some of the many papers are given in Section 7.5.7. In principle, probability distributions can be determined for any postulated counting mode. In practice, they become complicated for all but the simplest modes; this is true even for the single measurement of the total counting rate or the background counting rate, but is even more pronounced for the distribution of their difference (the re¯ection-only rate). For most crystallographic purposes, however, it is only necessary to know the mean (to correct for bias, if present) and the variance

…7:5:3:1†

7.5. STATISTICAL FLUCTUATIONS  ˆ T =t;

…7:5:3:7†

where t is the time devoted to the measurement, and the variance of the counting rate is  2 …† ˆ T =t2 ˆ =t:

…7:5:3:8†

Similar expressions apply for the background, with B for the count, b for the time, and for the counting rate. For the re¯ection count, the corresponding expressions are  ˆ T =t

B=b;

…7:5:3:9†

2

 …† ˆ =t ‡ =b:

…7:5:3:10†

To avoid confusion, upper-case italic letters are used for numbers of counts, lower-case italic for counting times, and the corresponding lower-case Greek letters for the corresponding counting rates. In accordance with common practice, however, Ij will be used for the intensity of the jth re¯ection, the context making it clear whether I is a number of counts or a counting rate. 7.5.4. Fixed-count timing The probability of a time t being required to accumulate N counts when the true counting rate is  is given by a distribution (Abramowitz & Stegun, 1964, p. 255): p…t† dt ˆ ‰…N

1†!Š 1 …t†N

1

exp… t† d…t†:

…7:5:4:1†

The ratio N=t is a slightly biased estimate of the counting rate ; the unbiased estimate is …N 1†=t. The variance of this estimate is  2 =…N 2†, or, nearly enough for most purposes, …N 1†2 =…N 2†t2 . The differences introduced by the corrections 1 and 2 are generally negligible, but would not be so for counts as low as those proposed by Killean (1967). If such corrections are important, it should be noticed that there is an ambiguity concerning N, depending on how the timing is triggered. It may be triggered by a count that is counted, or by a count that is not counted, or may simply be begun, independently of the incidence of a count. Equation (7.5.4.1) assumes the ®rst of these. Equation (7.5.4.1) may be inverted to give the probability distribution of the observed counting rate  o instead of the probability distribution of the time t: p… o † d o ˆ ‰…N

1†!Š 1 ‰…N

 expf …N

1†= o ŠN

1

1†= o g d‰ o =…N

1†Š:

…7:5:4:2†

There does not seem to be any special name for the distribution (7.5.4.2). Only its ®rst …N 1† moments exist, and the integral expressing the probability distribution of the difference of the re¯ection and the background rates is intractable (Wilson, 1980). 7.5.5. Complicating phenomena

7.5.5.2. Voltage ¯uctuations Mains-voltage ¯uctuations, unless compensated, and unsmoothed high-tension supplies may affect the sensitivity of detectors and counting circuits, and in any case cause the probability distribution of the arrival of counts to be nonPoissonian. Backlash in the diffractometer drives may be even more important in altering the observed counting rates. As de Boer (1982) says, the ideal distributions represent a Utopia that experimenters can approach but never reach. He observed erratic ¯uctuations in counting rates, up to ten times as big as the expected statistical ¯uctuations. When care is taken, the instabilities observed in practice are much less than those of the extreme cases described by de Boer. Stabilizing an X-ray source and testing its stability are discussed in Subsection 2.3.5.1. 7.5.6. Treatment of measured-as-negative (and other weak) intensities It has been customary in crystallographic computations, but without theoretical justi®cation, to omit all re¯ections with intensities less than two or three times their standard uncertainties. Hirshfeld & Rabinovich (1973) asserted that the failure to use all re¯ections, even those for which the subtraction of background has resulted in a negative net intensity, at their measured values will lead to a bias in the parameters resulting from a least-squares re®nement. This is, however, inconsistent with the Gauss±Markov theorem (see Section 8.1.2), which shows that least-squares estimates are unbiased, independent of the weights used, if the observations are unbiased estimates of quantities predicted by a model. Giving some observations zero weight therefore cannot introduce bias. Provided the set of included observations is suf®cient to give a nonsingular normal equations matrix, parameter estimates will be unbiased, but inclusion of as many well determined observations as possible will yield the most precise estimates. Requiring that the net intensity be greater than 2 assures that the value of jFj will be well determined. Furthermore, Prince & Nicholson (1985) showed that, if the net intensity, I, or jFj2 is used as the observed quantity, weak re¯ections have very little leverage (see Section 8.4.4), and therefore omitting them cannot have a signi®cant effect on the precision of parameter estimates. The use of negative values of I or jFj2 is also inconsistent with Bayes's theorem, which implies that a negative value cannot be an unbiased estimate of an inherently non-negative quantity. There are statistical methods for estimating the positive value of jFj that led to a negative value of I. The best known approach is the Bayesian method of French & Wilson (1978), who observe that ``Instead of thanking the data for the information that certain structure factor moduli are small, we accuse them of assuming `impossible' negative values. What we should do is combine our knowledge of the non-negativity of the true intensities with the information concerning their magnitudes contained in the data.''

7.5.5.1. Dead time After a count is recorded, the detector and the counting circuits are `dead' for a short interval, and any ionizing event occurring during that interval is not detected. This is important if the dead time is not negligible in comparison with the reciprocal of the counting rate, and corrections have to be made; these are large for Geiger counters, and may sometimes be necessary for counters of other types. The need for the correction can be eliminated by suitable monitoring (Eastabrook & Hughes, 1953); other advantages of monitoring are described in Chapter 2.3.

7.5.7. Optimization of counting times There have been many papers on optimizing counting times for achieving different purposes, and all optimization procedures require some knowledge of the distributions of counts or counting rates; often only the mean and variance of the distribution are required. It is also necessary to know the functional relationship between the quantity of interest and the counts (counting rates, intensities) entering into its measurement. Typically, the object is to minimize the variance of some

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7. MEASUREMENT OF INTENSITIES function of the measured intensities, say F…I1 ; I2 ; . . . ; Ij ; . . .†. General statistical theory gives the usual approximation X @F @F cov…Ii ; Ij †; …7:5:7:1†  2 …F† ˆ @Ii @Ij i; j where cov…Ii ; Ij † is the covariance of Ii and Ij if i 6ˆ j, and is the variance of Ij ,  2 …Ij †, if i ˆ j. There is very little correlation* between successive intensity measurements in diffractometry, so that cov…Ii ; Ij † is negligible for i 6ˆ j. Equation (7.5.7.1) becomes !2 X @F 2  …F† ˆ  2 …Ij †: …7:5:7:2† @I j j These equations are strictly accurate only if F is a linear function of the I's, a condition satis®ed for the integrated intensity, but for few other quantities of interest. In most applications in diffractometry, however, the contribution of each Ij is suf®ciently small in comparison with the total to make the application of equations (7.5.7.1) and (7.5.7.2) plausible. Any proportionality factors cj (Section 7.5.1) can be absorbed into the functional relationship between F and the Ij 's. The object is to minimize  2 …F† by varying the time spent on each observation, subject to a ®xed total time P tj : …7:5:7:3† Tˆ j

It is simplest to regard the total intensity and the background intensity as separate observations, so that in (7.5.7.2) the sum is over n `background' and n `total' observations. With Ij expressed as a counting rate, its variance is Ij =tj [equation (7.5.3.8)], so that (7.5.7.2) becomes P 2  2 …F† ˆ Gj Ij =tj ; …7:5:7:4† j

where for brevity G has been written for j@F=@Ij. The variance of F will be a minimum if, for any small variations dtj of the counting times tj , * Exceptions to this statement may be important for line and area detectors, or if an interpolation function is used to estimate background. Wilson (1967) has discussed some features of the powder diffractometry case.

0ˆ

P j

Gj2 Ij tj 2 dtj ;

…7:5:7:5†

subject to the constancy of the total time T . There is thus the constraint P dtj : …7:5:7:6† 0ˆ j

These equations are consistent if for all j Gj2 Ij tj

2

ˆ k 2;

tj ˆ kGj Ij1=2 ;

…7:5:7:7† …7:5:7:8†

where k is a constant determined by the total time T : P …7:5:7:9† T ˆ k Gj Ij1=2 : j

The minimum variance is thus achieved if each observation is given a time proportional to the square root of its intensity. A little manipulation now gives for the desired minimum variance " #2
1=2 1 X 2 @F=@Ij Ij : …7:5:7:10† min …F† ˆ T j The minimum variance is found to be a perfect square, and the standard uncertainty takes a simple form. Here, the optimization has been treated as a modi®cation of ®xed-time counting. However, the same ®nal expression is obtained if the optimization is treated as a modi®cation of ®xedcount timing (Wilson, Thomsen & Yap, 1965). Space does not permit detailed discussion of the numerous papers on various aspects of optimization. If the time required to move the diffractometer from one observation position to another is appreciable, the optimization problem is affected (Shoemaker & Hamilton, 1972, and references cited therein). There is some dependence on the radiation (X-ray versus neutron) (Shoemaker, 1968; Werner 1972a,b). A few other papers of historical or other interest are included in the list of references, without detailed mention in the text: Grant (1973); Killean (1972, 1973); Mack & Spielberg (1958); Mackenzie & Williams (1973); Szabo (1978); Thomsen & Yap (1968); Zevin, Umanskii, Kheiker & Panchenko (1961).

References 7.1.1 Hellner, E. (1954). IntensitaÈtsmessungen aus Aufnahmen in der Guinier-Kamera. Z. Kristallogr. 106, 122±145. International Tables for X-ray Crystallography (1962). Vol. III. Birmingham: Kynoch Press. Mees, C. E. K. (1954). The theory of the photographic process. New York: Macmillan. Whittaker, E. J. W. (1953). The Cox & Shaw factor. Acta Cryst. 6, 218. 7.1.2±7.1.4 Ames, L., Drummond, W., Iwanczyk, J. & Dabrowski, A. (1983). Energy resolution measurements of mercuric iodide detectors using a cooled FET preampli®er. Adv. X-ray Anal. 26, 325±330.

Ballon, J., Comparat, V. & Pouxe, J. (1983). The blade chamber: a solution for curved gaseous detectors. Nucl. Instrum. Methods, 217, 213±216. Bish, D. L. & Chipera, S. J. (1989). Comparison of a solid-state Si detector to a conventional scintillation detector±monochromator system in X-ray powder diffraction. Powder Diffr. 4, 137±143. Eastabrook, J. N. & Hughes, J. W. (1953). Elimination of dead-time corrections in monitored Geiger-counter X-ray measurements. J. Sci. Instrum. 30, 317±320. Foster, B. A. & WoÈlfel, E. R. (1988). Automated quantitative multiphase analysis using a focusing transmission diffractometer in conjunction with a curved position sensitive detector. Adv. X-ray Anal. 31, 325±330. Geiger, H. & MuÈller, W. (1928). Das ElektronenzaÈhlrohr. Z. Phys. 29, 839±841.

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REFERENCES 7.4.2 (cont.) Rouse, K. D. & Cooper, M. J. (1969). The correction of measured integrated Bragg intensities for anisotropic thermal diffuse scattering. Acta Cryst. A25, 615±621. Sakata, M., Stevenson, A. W. & Harada, J. (1983). GTDSCOR: one-phonon TDS corrections for measured integrated Bragg intensities. J. Appl. Cryst. 16, 154±156. Stevens, E. D. (1974). Thermal diffuse scattering corrections for single-crystal integrated intensity measurements. Acta Cryst. A30, 184±189. Stevenson, A. W. & Harada, J. (1983). The consequences of the neglect of TDS correction for temperature parameters. Acta Cryst. A39, 202±207. Suortti, P. (1980). Powder TDS and multiple scattering. Accuracy in powder diffraction, edited by S. Block & C. R. Hubbard. Natl Bur. Stand. (US) Spec. Publ. No. 567, pp. 8±12. Voigt, W. (1910). Lehrbuch der Kristallphysik. Leipzig: Teubner. Willis, B. T. M. (1970). The correction of measured neutron structure factors for thermal diffuse scattering. Acta Cryst. A26, 396±401. Willis, B. T. M., Carlile, C. J. & Ward, R. C. (1986). Neutron diffraction from single-crystal silicon: the dependence of the thermal diffuse scattering on the velocity of sound. Acta Cryst. A42, 188±191. Wooster, W. A. (1962). Diffuse X-ray re¯ections from crystals. Oxford: Clarendon Press. 7.4.3 Ê berg, T. & Tulkki, J. (1985). Inelastic X-ray scattering A including resonance phenomena. Atomic inner shell physics, edited by B. Crasemann, Chap. 10. New York: Plenum. Bannett, Y. B. & Freund, I. (1975). Resonant X-ray Raman scattering. Phys. Rev. Lett. 34, 372±376. Bewilogua, L. (1931). Incoherent scattering of X-rays. Phys. Z. 32, 740±744. Biggs, F., Mendelsohn, L. B. & Mann, J. B. (1975). Hartree Fock Compton pro®les for the elements. At. Data Nucl. Data Tables, 16, 201±309. Bloch, B. J. & Mendelsohn, L. B. (1974). Atomic L-shell Compton pro®les and incoherent scattering factors: theory. Phys. Rev. A, 9, 129±155. Bloch, F. (1934). Contribution to the theory of the Compton line shift. Phys. Rev. 46, 674±687. Blume, M. & Gibbs, D. (1988). Polarisation dependence of magnetic X-ray scattering. Phys. Rev. B, 37, 1779±1789. Brown, W. D. (1966). Cross-sections for coherent/incoherent X-ray scattering. Reports D2-125136-1 and 125137-1. Boeing Co. Bushuev, V. A. & Kuz'min, R. N. (1977). Inelastic scattering of X-ray and synchrotron radiation in crystals, coherent effects in inelastic scattering. Sov. Phys. Usp. 20, 406±431. Cooper, M. J. (1985). Compton scattering and electron momentum determination. Rep. Prog. Phys. 48, 415±481. Cromer, D. T. (1969). Compton scattering factors for aspherical free atoms. J. Chem. Phys. 50, 4857±4859. Cromer, D. T. & Mann, J. B. (1967). Compton scattering factors for spherically symmetric free atoms. J. Chem. Phys. 47, 1892±1893. Currat, R., DeCicco, P. D. & Weiss, R. J. (1971). Impulse approximation in Compton scattering. Phys. Rev. B, 4, 4256±4261.

Eisenberger, P. & Platzman, P. M. (1970). Compton scattering of X-rays from bound electrons. Phys. Rev. A, 2, 415±423. Eisenberger, P., Platzman, P. M. & Winick, M. (1976). Resonant X-ray Raman scattering studies using synchrotron radiation. Phys. Rev. B, 13, 2377±2380. Fermi, E. (1928). Statistical methods of investigating electrons in atoms. Z. Phys. 48, 73±79. Gavrila, M. & Tugulea, M. N. (1975). Compton scattering by L shell electrons. Rev. Roum. Phys. 20, 209±230. Hubbell, J. H., Veigele, W. J., Briggs, E. A., Brown, R. T., Cromer, D. T. & Howerton, R. J. (1975). Atomic form factors, incoherent scattering functions and photon scattering cross-sections. J. Phys. Chem. Ref. Data, 4, 471±538. Jauch, J. M. & Rohrlich, F. (1976). The theory of photons and electrons. Berlin: Springer-Verlag. Klein, O. & Nishina, Y. (1929). Uber die Streuung von Strahlung durch freie Electronen nach der neuen relativistichers Quantendynamik von Dirac. Z. Phys. 52, 853±868. Lipps, F. W. & Tolhoek, H. A. (1954). Polarisation phenomena of electrons and photons I and II. Physica (Utrecht), 20, 85±98, 395±405. Lovesey, S. W. (1993). Photon scattering by magnetic solids. Rep. Prog. Phys. 56, 257±326. Manninen, S., Paakkari, T. & Kajantie, K. (1976). Gamma ray Compton pro®le of aluminium. Philos. Mag. 29, 167±178. Pattison, P. & Schneider, J. R. (1979). Test of the relativistic 1s wavefunction in Au and Pb using experimental Compton pro®les. J. Phys. B, 12, 4013±4019. Pratt, R. H. & Tseng, H. K. (1972). Behaviour of electron wavefunctions near the atomic nucleus and normalisation screening theory in the atomic photoeffect. Phys. Rev. A, 5, 1063±1072. Ribberfors, R. (1975). Relationship of the relativistic Compton cross-section to the momentum distribution of bound electron states. II. Effects of anisotropy and polarisation. Phys. Rev. B, 12, 2067±2074, 3136±3141. Ribberfors, R. (1983). X-ray incoherent scattering total cross-sections and energy absorption cross-sections by means of simple calculation routines. Phys. Rev. A, 27, 3061±3070. Ribberfors, R. & Berggren, K.-F. (1982). Incoherent X-ray scattering functions and cross sections by means of a pocket calculator. Phys. Rev. A, 26, 3325±3333. Schaupp, D., Czerwinski, H., Smend, F., Wenskus, R., Schumacher, M., Millhouse, A. H. & Strauss, S. (1984). Resonant Raman scattering of synchrotron X-rays by neodymium: observation of ®ne structure in K-L-RRS and of K-N-RRS. Z. Phys. A, 319, 1±7. Slater, J. C. (1937). Wavefunctions in a periodic crystal. Phys. Rev. 51, 846±851. Sparks, C. J. (1974). Inelastic resonance emission of X-rays: anomalous scattering associated with anomalous dispersion. Phys. Rev. Lett. 33, 262±265. Thomas, L. H. (1927). Calculation of atomic ®elds. Proc. Cambridge Philos. Soc. 33, 542±548. Veigele, W. J. (1967). Research of X-ray scattering cross sections: ®nal report. Report KN-379-67-3(R). Kaman Sciences Corp. Waller, I. & Hartree, D. R. (1929). Intensity of total scattering of X-rays. Proc. R. Soc. London Ser. A, 124, 119±142. Williams, B. G. (1977). Compton scattering. New York: McGraw-Hill.

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7. MEASUREMENT OF INTENSITIES 7.4.4 Brown, G. S. & Lindau, I. (1986). Editors, Synchrotron radiation instrumentation. Proceedings of the International Conference on X-ray and VUV Synchrotron Radiation Instrumentation. Nucl. Instrum. Methods, A246, 511±595. Mathieson, A. McL. (1985). Small-crystal X-ray diffractometry with a crystal ante-monochromator. Acta Cryst. A41, 309±316. Matsushita, T. & Hashizume, H. (1983). Handbook of synchrotron radiation, Vol. I, edited by E. E. Koch, pp. 261±314. Amsterdam: North-Holland. Matsushita, T. & Kaminaga, U. (1980). A systematic method of estimating the performance of X-ray optical systems for synchrotron radiation. I. Description of various optical elements in position-angle space for ideally monochromatic X-rays. J. Appl. Cryst. 13, 465±471; II. Treatment in position±angle±wavelength space. J. Appl. Cryst. 13, 472±478. Suortti, P. (1980). Components of the total X-ray scattering. Accuracy in powder diffraction, edited by S. Block & C. R. Hubbard, pp. 1±20. Natl Bur. Stand. (US) Spec. Publ. No. 567. Suortti, P. (1985). Parallel beam geometry for single-crystal diffraction. J. Appl. Cryst. 18, 272±274. Suortti, P., Hastings, J. B. & Cox, D. E. (1985). Powder diffraction with synchrotron radiation. I. Absolute measurements. Acta Cryst. A41, 413±416. Suortti, P. & Jennings, L. D. (1977). Accuracy of structure factors from X-ray powder intensity measurements. Acta Cryst. A33, 1012±1027. Thomlinson, W. & Williams, G. P. (1984). Editors. Synchrotron radiation instrumentation 3. Proceedings of the Third National Conference on Synchrotron Radiation Instrumentation. Nucl. Instrum. Methods, 222, 215±278. 7.5 Abramowitz, M. & Stegun, I. A. (1964). Handbook of mathematical functions. National Bureau of Standards Publication AMS 55. Boer, J. L. de (1982). Statistics of recorded counts. Crystallographic statistics, edited by S. Ramaseshan, M. F. Richardson & A. J. C. Wilson, pp. 179±186. Bangalore: Indian Academy of Sciences. Eastabrook, J. N. & Hughes, J. W. (1953). Elimination of deadtime corrections in monitored Geiger-counter X-ray measurements. J. Sci. Instrum. 30, 317±320. French, S. & Wilson, K. (1978). On the treatment of negative intensity observations. Acta Cryst. A34, 517±525. Grant, D. F. (1973). Single-crystal diffractometer data: the online control of the precision of intensity measurement. Acta Cryst. A29, 217. Hirshfeld, F. L. & Rabinovich, D. (1973). Treating weak re¯exions in least-squares calculations. Acta Cryst. A29, 510±513. Killean, R. C. G. (1967). A note on the a priori estimation of R factors for constant-count-per-re¯ection diffractometer experiments. Acta Cryst. 23, 1109±1110. Killean, R. C. G. (1972). The a priori optimization of diffractometer data to achieve the minimum average variance in the electron density. Acta Cryst. A28, 657±658.

Killean, R. C. G. (1973). Optimization of scan procedure for single-crystal X-ray diffraction intensities. Acta Cryst. A29, 216±217. Mack, M. & Spielberg, N. (1958). Statistical factors in X-ray intensity measurements. Spectrochim. Acta, 12, 169±178. Mackenzie, J. K. & Williams, E. J. (1973). The optimum distribution of counting times for determining integrated intensities with a diffractometer. Acta Cryst. A29, 201±204. Olkha, G. S. & Rathie, P. N. (1971). On a generalized Bessel function and an integral transform. Math. Nachr. 51, 231±240. Paciorek, W. A. & Chapuis, G. (1994). Generalized Bessel functions in incommensurate structure analysis. Acta Cryst. A50, 194±203. Parrish, W. (1956). X-ray intensity measurements with counter tubes. Philips Tech. Rev. 17, 206±221. Prince, E. & Nicholson, W. L. (1985). The in¯uence of individual re¯ections on the precision of parameter estimates in least squares re®nement. Structure & statistics in crystallography, edited by A. J. C. Wilson, pp. 183±195. Guilderland, NY: Adenine Press. Shmueli, U. (1993). Editor. International tables for crystallography. Vol. B. Reciprocal space. Dordrecht: Kluwer. Shoemaker, D. P. (1968). Optimization of counting times in computer-controlled X-ray and neutron single-crystal diffractometry. Acta Cryst. A24, 136±142. Shoemaker, D. P. & Hamilton, W. C. (1972). Further remarks concerning optimization of counting times in single-crystal diffractometry: rebuttal to Killean; consideration of background counting and slewing times. Acta Cryst. A28, 408±411. Skellam, J. G. (1946). The frequency distribution of the difference between two Poisson values belonging to different populations. J. R. Stat. Soc. 109, 296. SzaboÂ, P. (1978). Optimization of the measuring time in diffraction intensity measurements. Acta Cryst. A34, 551±553. Thomsen, J. S. & Yap, F. Y. (1968). Simpli®ed method of computing centroids of X-ray pro®les. Acta Cryst. A24, 702±703. Werner, S. A. (1972a). Choice of scans in X-ray diffraction. Acta Cryst. A28, 143±151. Werner, S. A. (1972b). Choice of scans in neutron diffraction. Acta Cryst. A28, 665±669. Wilson, A. J. C. (1967). Statistical variance of line-pro®le parameters. Measures of intensity, location and dispersion. Acta Cryst. 23, 888±898. Wilson, A. J. C. (1978). On the probability of measuring the intensity of a re¯ection as negative. Acta Cryst. A34, 474±475. Wilson, A. J. C. (1980). Relationship between `observed' and `true' intensity: effect of various counting modes. Acta Cryst. A36, 929±936. Wilson, A. J. C., Thomsen, J. S. & Yap, F. Y. (1965). Minimization of the variance of parameters derived from X-ray powder diffractometer line pro®les. Appl. Phys. Lett. 7, 163±165. Wright, E. M. (1933). On the coef®cients of power series having exponential singularities. J. London Math. Soc. 8, 71±79. Zevin, L. S., Umanskii, M. M., Kheiker, D. M. & Panchenko, Yu. M. (1961). K voprosu o difraktometricheskikh priemah pretsizionnyh izmerenii elementarnyh yacheek. Kristallogra®ya, 6, 348±356.

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references

International Tables for Crystallography (2006). Vol. C, Chapter 8.1, pp. 678–688.

8.1. Least squares

By E. Prince and P. T. Boggs The process of arriving at a model for a crystal structure may usefully be considered to consist of two distinct stages. The ®rst, which may be called determination, involves the use of chemical and physical intuition, direct methods, Fourier and Patterson methods, and other techniques to arrive at an approximate model for the structure that incorporates unit-cell dimensions, space group, chemical composition, and information with respect to the immediate environment of each atom. The second stage, which we shall call re®nement, involves ®nding the values of adjustable parameters in the model that give the best ®t between the predicted diffraction intensities and those observed in an experiment, in order to extract precise information about interatomic distances and bond angles, thermal motion, site occupancies, electron distribution, and so forth. Although there are several different criteria for the best ®t to data, such as maximum likelihood and maximum entropy, one of the most commonly used is the method of least squares. This chapter discusses both numerical and statistical aspects of re®nement by the method of least squares. Because both aspects make extensive use of linear algebra, we begin with a summary of de®nitions and fundamental operations in linear algebra (Stewart, 1973; Prince, 1994) and of basic de®nitions and concepts in mathematical statistics (Draper & Smith, 1981; Box, Hunter & Hunter, 1978). We then discuss the principles of linear and nonlinear least squares and conclude with an extensive discussion of numerical methods used in practical implementation of the technique.

8.1.1. De®nitions 8.1.1.1. Linear algebra A matrix is an ordered, rectangular array of numbers, real or complex. Matrices will be denoted by upper-case, bold italic letters, A. Their individual elements will be denoted by uppercase, italic letters with subscripts. Aij denotes the element in the ith row and the jth column of A. A matrix with only one row is a row vector; a matrix with only one column is a column vector. Vectors will be denoted by lower-case, bold roman letters, and their elements will be denoted by lower-case, italic letters with single subscripts. Scalar constants will usually be denoted by lower-case, Greek letters. A matrix with the same number of rows as columns is square. If Aij ˆ 0 for all i > j, A is upper triangular. If Aij ˆ 0 for all i < j, A is lower triangular. If Aij ˆ 0 for all i 6ˆ j, A is diagonal. If Aij ˆ 0 for all i and j, A is null. A matrix, B, such that Bij ˆ Aji for all i and j is the transpose of A, and is denoted by AT . Matrices with the same dimensions may be added and subtracted: (A+B)ij ˆ Aij ‡ Bij . A matrix may be multiplied by a scalar: …A† Pijmˆ Aij . Multiplication of matrices is de®ned by (AB)ij ˆ kˆ1 Aik Bkj , where m is the number of columns of A and the number of rows of B (which must be equal). Addition and multiplication of matrices obey the associative law: …A ‡ B† ‡ C ˆ A ‡ …B ‡ C†; …AB†C ˆ A…BC†. Multiplication of matrices obeys the distributive law: A…B ‡ C† ˆ AB ‡ AC. Addition of matrices obeys the commutative law: A ‡ B ˆ B ‡ A, but multiplication, except in certain (important) special cases, does not: AB 6ˆ BA. The transpose of a product is the product of the transposes of the factors in reverse order: …AB†T ˆ BT AT .

The trace of a square matrix is the sum of its diagonal elements. The determinant of an n  n square matrix, A, denoted by jAj, is the sum of n! terms, each of which is a product of the diagonal elements of a matrix derived from A by permuting columns or rows (see Stewart, 1973). The rank of a matrix (not necessarily square) is the dimension of the largest square submatrix that can be formed from it, by selecting rows and columns, whose determinant is not equal to zero. A matrix has full column rank if its rank is equal to its number of columns. A square matrix whose diagonal elements are equal to one and whose off-diagonal elements are equal to zero is an identity matrix, denoted by I. If jAj 6ˆ 0, A is nonsingular, and there exists a matrix A 1 , the inverse of A, such that AA 1 ˆ A 1 A ˆ I. If jAj ˆ 0, A is singular, and has no inverse. The adjoint, or conjugate transpose, of A is a matrix, Ay , such that Aijy ˆ Aji , where the asterisk indicates complex conjugate. If Ay ˆ A 1 , A is unitary. If the elements of a unitary matrix are real, it is orthogonal. From this de®nition, if A is orthogonal, it follows that n P iˆ1

for all j, and n P iˆ1

679 s:\ITFC\ch-8-1.3d (Tables of Crystallography)

Aij Aik ˆ 0

if j 6ˆ k. By analogy, two column vectors, x and y, are said to be orthogonal if xT y ˆ 0. For any square matrix, A, there exists a set of vectors, xi , such that Axi ˆ li xi , where li is a scalar. The values li are the eigenvalues of A, and the vectors xi are the corresponding eigenvectors. If A ˆ Ay , A is Hermitian, and, if the elements are real, A ˆ AT , so that A is symmetric. It can be shown (see, for example, Stewart, 1973) that, if A is Hermitian, all eigenvalues are real, and there exists a unitary matrix, T, such that D ˆ T y AT is diagonal, with the elements of D equal to the eigenvalues of A, and the columns of T are the eigenvectors. An n  n symmetric matrix therefore has n mutually orthogonal eigenvectors. If the product xT Ax is greater than (or equal to) zero for any non-null vector, x, A is positive (semi)de®nite. Because x may be, in particular, an eigenvector, all eigenvalues of a positive (semi)de®nite matrix are greater than (or equal to) zero. Any matrix of the form BT B is positive semi de®nite, and, if B has full column rank, A ˆ BT B is positive de®nite. If A is positive de®nite, there exists an upper triangular matrix, R, or, equivalently, a lower triangular matrix, L, with positive diagonal elements, such that RT R ˆ LLT ˆ A. R, or L, is called the Cholesky factor of A. The magnitude, length or Euclidean norm of a vector, x, denoted by kxk, is de®ned by kxk ˆ …xT x†1=2 . The induced matrix norm of a matrix, B, denoted kBk, is de®ned as the maximum value of kBxk=kxk ˆ …xT BT Bx=xT x†1=2 for kxk > 0. Because xT BT Bx will have its maximum value for a ®xed value of xT x when x is parallel to the eigenvector that corresponds to the largest eigenvalue of BT B, this de®nition implies that kBk is equal to the square root of the largest eigenvalue of BT B. The condition number of B is the square root of the ratio of the largest and smallest eigenvalues of BT B. (Other de®nitions of norms exist, with corresponding de®nitions of condition number. We shall not be concerned with any of these.)

678 Copyright © 2006 International Union of Crystallography

A2ij ˆ 1

8.1. LEAST SQUARES We shall make extensive use of the so-called QR decomposition, which is de®ned as follows: For any n  p …n  p† real matrix, Z, there exists an n  n orthogonal matrix, Q, such that   R T ; …8:1:1:1† Q Zˆ O where R is a p  p upper triangular matrix, and O denotes an …n p†  p null matrix. Thus, we have   R ZˆQ ; …8:1:1:2† O which is known as the QR decomposition of Z. If we partition Q as …QZ ; Q? †, where QZ has dimensions n  p, and Q? has dimensions n  …n p†, (8.1.1.2) becomes Z ˆ QZ R;

…8:1:1:3†

which is known as the QR factorization. We shall make use of the following facts. First, R is nonsingular if and only if the columns of Z are linearly independent; second, the columns of QZ form an orthonormal basis for the range space of Z, that is, they span the same space as Z; and, third, the columns of Q? form an orthonormal basis for the null space of ZT , that is, ZT Q? ˆ O. There are two common procedures for computing the QR factorization. The ®rst makes use of Householder transformations, which are de®ned by HˆI

2xxT ;

T

…8:1:1:4†

small proportion of the total computing time on a vector oriented computer. 8.1.1.2. Statistics A probability density function, which will be abbreviated p.d.f., is a function, …x†, such that the probability of ®nding the random variable x in the interval a  x  b is given by p…a  x  b† ˆ

The factorization procedure for an n  p matrix, A (Stewart, 1973; Anderson et al., 1992), takes as v in the ®rst step the ®rst column of A, and forms A1 ˆ H 1 A, which has zeros in all elements of the ®rst column below the diagonal. In the second step, v has a zero as the ®rst element and is ®lled out by those elements of the second column of A1 on or below the diagonal. A2 ˆ H 2 A1 then has zeros in all elements below the diagonal in the ®rst two columns. This process is repeated …p 2† more times, after which Q ˆ H p . . . H 2 H 1 , and R ˆ Ap is upper triangular. QR factorization by Householder transformations requires for ef®ciency that the entire n  p matrix be stored in memory, and requires of order np2 operations. A procedure that requires storage of only the upper triangle makes use of Givens rotations, which are 2  2 matrices of the form   cos  sin  Gˆ : …8:1:1:6† sin  cos  Multiplication of a 2  m matrix, B, by G will put a zero in the B21 element if  ˆ arctan B21 =B11 . The factorization of A involves reading, or computing, the rows of A one at a time. In the ®rst step, matrix B1 consists of the ®rst row of R and the current row of A, from which the ®rst element is eliminated. In the second step, B21 is the second row of R and the …p 1† nonzero elements of the second row of the transformed B1 . After the ®rst p rows have been treated, each additional row of A requires 2p…p ‡ 1† multiplications to ®ll it with zeros. However, because the operation is easily vectorized, the time required may be a

…x†  0;

…x† dx:

1 < x < ‡1;

and ‡1 R 1

…x† dx ˆ 1:

A cumulative distribution function, which will be abbreviated c.d.f., is de®ned by …x† ˆ

Rx 1

…t† dt:

The properties of …x† imply that 0  …x†  1, and …x† ˆ d …x†= dx. The expected value of a function, f …x†, of random variable x is de®ned by

n



 ‡1 R f …x† ˆ f …x†…x† dx: 1



n

If f …x† ˆ x , f …x† ˆ hx i is the nth moment of …x†. The ®rst moment, often denoted by , is themean of …x†. The second moment about the mean, …x hxi†2 , usually denoted by  2 , is the variance of … x†. The positive square root of the variance is the standard deviation. For a vector, x, of random variables, x1 , x2 ,. . ., xn , the joint probability density function, or joint p.d.f., is a function, J …x†, such that p…a1  x1  b1 ; a2  x2  b2 ; . . . ; an  xn  bn † ˆ

Rb1 Rb2 a1 a2

...

Rbn an

J …x† dx1 dx2 . . . dxn :

…8:1:1:7†

The marginal p.d.f. of an element (or a subset of elements), xi , is a function, M …xi †, such that p…ai  xi  bi † ˆ ˆ

Rbi ai

M …xi † dxi

‡1 R 1

...

Rbi ai

...

R1 1

J …x† dx1 . . . dxi . . . dxn : …8:1:1:8†

This is a p.d.f. for xi alone, irrespective of the values that may be found for any other element of x. For two random variables, x and y (either or both of which may be vectors), the conditional p.d.f. of x given y ˆ y0 is de®ned by C …xjy0 † ˆ cJ …x; y†yˆy0 ; where c ˆ 1=M …y0 † is a renormalizing factor. This is a p.d.f. for x when it is known that y ˆ y0 . If C … xjy† ˆ M … x† for all y, or, equivalently, if J …x; y† ˆ M …x†M …y†, the random variables x and y are said to be statistically independent.

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a

A p.d.f. has the properties

2

where x x ˆ 1. H is symmetric, and H ˆ I, so that H is orthogonal. In three dimensions, H corresponds to a re¯ection in a mirror plane perpendicular to x, because of which Stewart (1973) has suggested the alternative term elementary re¯ector. A vector v is transformed by Hv into the vector kvke, where e represents a vector with e1 ˆ 1, and ei ˆ 0 for i 6ˆ 1, if

 x ˆ ‰v kvkeŠ ‰v kvkeŠ : …8:1:1:5†

Rb

8. REFINEMENT OF STRUCTURAL PARAMETERS Moments may be de®ned for multivariate p.d.f.s in a manner analogous to the one-dimensional case. The mean is a vector de®ned by

 R i ˆ xi ˆ xi …x† dx; where the volume of integration is the entire domain of x. The variance±covariance matrix is de®ned by


 Vij ˆ …xi hxi i† xj hxj i
R …8:1:1:9† ˆ …xi hxi i† xj hxj i J …x† dx: The diagonal elements of V are the variances of the marginal p.d.f.s of the elements of x, that is, Vii ˆ i2 : It can be shown that, if xi and xj are statistically independent, Vij ˆ 0 when i 6ˆ j. If two vectors of random variables, x and y, are related by a linear transformation, x ˆ By, the means of their joint p.d.f.s are related by x ˆ By , and their variance±covariance matrices are related by V x ˆ BV y BT . 8.1.2. Principles of least squares The method of least squares may be formulated as follows: Given a set of n observations, yi …i ˆ 1; 2; . . . ; n†, that are measurements of quantities that can be described by differentiable model functions, Mi …x†, where x is a vector of parameters, xj … j ˆ 1; 2; . . . ; p†, ®nd the values of the parameters for which the sum n P wi ‰yi Mi …x†Š2 …8:1:2:1† Sˆ

AT WAx ˆ AT W …y

The model functions, Mi …x†, are, in general, nonlinear, and there are no direct ways to solve these systems of equations. Iterative methods for solving them are discussed in Section 8.1.4. Much of the analysis of results, however, is based on the assumption that linear approximations to the model functions are good approximations in the vicinity of the minimum, and we shall therefore begin with a discussion of linear least squares. To express linear relationships, it is convenient to use matrix notation. Let M…x† and y be column vectors whose ith elements are Mi …x† and yi . Similarly, let b be a vector and A be a matrix such that a linear approximation to the ith model function can be written Mi …x† ˆ bi ‡

p P jˆ1

Aij xj :

…8:1:2:3†

Equations (8.1.2.3) can be written, in matrix form, M…x† ˆ b ‡ Ax;

…8:1:2:4†

and, for this linear model, (8.1.2.1) becomes S ˆ ‰…y

b†

AxŠT W ‰…y

b†

AxŠ;

…8:1:2:5†

where W is a diagonal matrix whose diagonal elements are Wii ˆ wi . In this notation, the normal equations (8.1.2.2) can be written

b x ˆ …AT WA† 1 AT W …y

b†:

…8:1:2:7† T

If Wii > 0 for all i, and A has full column rank, then A WA will be positive de®nite, and S will have a unique minimum at x ˆ b x. The matrix H ˆ …AT WA† 1 AT W is a p  n matrix that relates the n-dimensional observation space to the p-dimensional parameter space and is known as the least-squares estimator; because each element of b x is a linear function of the observations, it is a linear estimator. [Note that, in actual practice, the matrix H is not actually evaluated, except, possibly, in very small problems. Rather, the linear system AT WAx ˆ AT W …y b† is solved using the methods of Section 8.1.3.] The least-squares estimator has some special properties in statistical analysis. Suppose that the elements of y are experimental observations drawn at random from populations whose means are given by the model, M…x†, for some unknown x, which we wish to estimate. This may be written

 y b ˆ Ax: …8:1:2:8† The expected value of the least-squares estimate is 

 T b x ˆ …A WA† 1 AT W…y b†

 ˆ …AT WA† 1 AT W y b ˆ …AT WA† 1 AT WAx ˆ x:

…8:1:2:9†

If the expected value of an estimate is equal to the variable to be estimated, the estimator is said to be unbiased. Equation (8.1.2.9) shows that the least-squares estimator is an unbiased estimator for x, independent of W , provided only that y is an unbiased estimate of M…x†, the matrix AT WA is nonsingular, and the elements of W are constants independent of y and M…x†. Let V x and V y be the variance±covariance matrices for the joint p.d.f.s of the elements of x and y, respectively. Then, V x ˆ HV y H T : Let G be the matrix …AT V y 1 A† 1 AT V 1 , so that b x ˆ G…y b† is the particular least-squares estimate for which W ˆ V y 1 . Then, V x ˆ GV y G T . If V y is positive de®nite, its lower triangular Cholesky factor, L, exists, so that LLT ˆ V y . [If V is diagonal, L is also diagonal, with Lii ˆ …V y †1=2 ii :] It is readily veri®ed that the matrix product ‰…H G†LŠ‰…H G†LŠT ˆ HV y H T GV y G T , but the diagonal elements of this product are the sums of squares of the elements of rows of …H G†L, and are therefore greater than or equal to zero. Therefore, the diagonal elements of V x , which are the variances of the marginal p.d.f.s of the elements of b x, are minimum when W ˆ V y 1 . Thus, the least-squares estimator is unbiased for any positivede®nite weight matrix, W , but the variances of the elements of the vector of estimated parameters are minimized if W ˆ V y 1 . [Note also that V x ˆ …AT WA† 1 if, and only if, W ˆ V y 1 .] For this reason, the least-squares estimator with weights proportional to the reciprocals of the variances of the observations is referred to as the best linear unbiased estimator for the parameters of a model describing those observations. (These speci®c results are included in a more general result known as the Gauss±Markov theorem.) The analysis up to this point has assumed that the model is linear, that is that the expected values of the observations can be expressed by hyi ˆ b ‡ Ax, where A is some matrix. In crystallography, of course, the model is highly nonlinear, and this assumption is not valid. The principles of linear least squares

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…8:1:2:6†

and their solution is

iˆ1

is minimum. Here, wi represents a weight assigned to the ith observation. The values of the parameters that give the minimum value of S are called estimates of the parameters, and a function of the data that locates the minimum is an estimator. A necessary condition for S to be a minimum is for the gradient to vanish, which gives a set of simultaneous equations, the normal equations, of the form n X @S @M …x† ˆ 2 wi ‰yi Mi …x†Š i ˆ 0: …8:1:2:2† @xj @xj iˆ1

b†;

8.1. LEAST SQUARES can be extended to nonlinear model functions by ®rst ®nding, by numerical methods, a point in parameter space, x0 , at which the gradient vanishes and then expanding the model functions about that point in Taylor's series, retaining only the linear terms. Equation (8.1.2.4) then becomes M…x†  M…x0 † ‡ A…x

x0 †;

…8:1:2:10†

where Aij ˆ @Mi …x†=@xj evaluated at x ˆ x0 . Because we have already found the least-squares solution, the estimate b x ˆ x0 ‡ …AT WA† 1 AT W ‰y ˆ x0 ‡ H‰y M…x0 †Š

M…x0 †Š …8:1:2:11†

reduces to b x ˆ x0 . It is important, however, not to confuse x0 , which is a convenient origin, with b x, which is a random variable describable by a joint p.d.f. with mean x0 and a variance± covariance matrix V x ˆ HV y H T , reducing to …AT V y 1 A† 1 when W ˆ V y 1. This variance±covariance matrix is the one appropriate to the linear approximation given in (8.1.2.10), and it is valid (and the estimate is unbiased) only to the extent that the approximation is a good one. A useful criterion for an adequate approximation (Fedorov, 1972) is, for each j and k, 08 " #2 9 X n n 0; 2  0:

…8:4:1:9†

…8:4:1:10†

The joint p.d.f. of the squares of two random variables, z1 and z2 , drawn independently from the same population with a normal p.d.f. is  2 
1 z1 ‡ z22 2 2 J z1 ; z2 ˆ exp ; …8:4:1:11† 2 2z1 z2 and the p.d.f. of the sum, s2 , of these two terms is the integral over the joint p.d.f. of all pairs of z21 and z22 that add up to s2 .  2  1 s 2 2 2 exp …s † ˆ z21 † dz21 : …8:4:1:12† z1 …s 2 2 This integral can be evaluated by use of the gamma and beta functions. The gamma function is de®ned for positive real x by

702 Copyright © 2006 International Union of Crystallography

R2

8.4. STATISTICAL SIGNIFICANCE TESTS Table 8.4.1.1. Values of 2 = for which the c.d.f. (2 ,) has the values given in the column headings, for various values of  

0.5

0.9

0.95

0.99

0.995

1 2 3 4 6 8 10 15 20 25 30 40 50 60 80 100 120 140 160 200

0.4549 0.6931 0.7887 0.8392 0.8914 0.9180 0.9342 0.9559 0.9669 0.9735 0.9779 0.9834 0.9867 0.9889 0.9917 0.9933 0.9945 0.9952 0.9958 0.9967

2.7055 2.3026 2.0838 1.9449 1.7741 1.6702 1.5987 1.4871 1.4206 1.3753 1.3419 1.2951 1.2633 1.2400 1.2072 1.1850 1.1686 1.1559 1.1457 1.1301

3.8415 2.9957 2.6049 2.3719 2.0986 1.9384 1.8307 1.6664 1.5705 1.5061 1.4591 1.3940 1.3501 1.3180 1.2735 1.2434 1.2214 1.2044 1.1907 1.1700

6.6349 4.6052 3.7816 3.3192 2.8020 2.5113 2.3209 2.0385 1.8783 1.7726 1.6964 1.5923 1.5231 1.4730 1.4041 1.3581 1.3246 1.2989 1.2783 1.2472

7.8795 5.2983 4.2794 3.7151 3.0913 2.7444 2.5188 2.1868 1.9999 1.8771 1.7891 1.6692 1.5898 1.5325 1.4540 1.4017 1.3638 1.3346 1.3114 1.2763

the statistical library DATAPAC (Filliben, unpublished). Fortran code for this program appears in Prince (1994). The quantity …n p†G is the sum of n terms that have mean value …n p†=n. Because the process of determining the leastsquares ®t establishes p relations among them, however, only …n p† of the terms are independent. The number of degrees of freedom is therefore  ˆ …n p†, and, if the model is correct, and the terms have been properly weighted, 2 ˆ …n p†G 2 has the chi-squared distribution with …n p† degrees of freedom. In crystallography, the number of degrees of freedom tends to be large, and the p.d.f. for G correspondingly sharp, so that even rather small deviations from G 2 ˆ 1 should cause one or both of the hypotheses of a correct model and appropriate weights to be rejected. It is common practice to assume that the model is correct, and that the weights have correct relative values, that is that they have been assigned by wi ˆ k=i2 , where k is a number different from, usually greater than, one. G is then taken to be an estimate of k, and all elements of …AT WA† 1 (Section 8.1.2) are multiplied by G 2 to get an estimated variance±covariance matrix. The range of validity of this procedure is limited at best. It is discussed further in Chapter 8.5. 8.4.2. The F distribution

…x† ˆ

R1 0

tx

1

exp… t† dt:

…8:4:1:13†

Although this function is continuous for all x > 0, its value is of interest in the context of this analysis only for x equal to positive, p integral multiples of 1=2. It can be shown that …1=2† ˆ , …1† ˆ 1, and …x ‡ 1† ˆ x …x†. It follows that, for a positive p integer, n,p …n† ˆ …n 1†!, and that …3=2† ˆ =2, …5=2† ˆ 3 =4, etc. The beta function is de®ned by B…x; y† ˆ

R1 0

tx 1 …1

t†y

It

1

dt:

can be shown (Prince, 1994) that …x† …y†= …x ‡ y†. Making the substitution (8.4.1.12) becomes  2 1 1 s R exp ‰t…1 t†Š 1=2 dt …s2 † ˆ 2 0 2  2 1 s exp ˆ B…1=2; 1=2† 2 2  2 s ˆ 12 exp ; s2  0: 2

…8:4:1:14† B…x; y† ˆ t ˆ z21 =s2 ,

…8:4:1:15†

By a similar procedure, it can be shown that, if 2 is the sum of  terms, z21 , z22 , . . ., z2v , where all are drawn independently from a population with the p.d.f. given in (8.4.1.10), 2 has the p.d.f.
=2 1  
2 2 _ 2 exp   ;  ˆ =2 ; 2 > 0; …8:4:1:16† 2 … =2 † 2
 2 ;  ˆ 0; 2  0: The parameter  is known as the number of degrees of freedom, but this use of that term must not be confused with the conventional use in physics and chemistry. The p.d.f. in (8.4.1.16) is the chi-squared distribution with  degrees of freedom. Table 8.4.1.1 gives the values of 2 =
for which the cumulative distribution function (c.d.f.) 2 ;  has various values for various choices of . This table is provided to enable veri®cation of computer codes that may be used to generate more extensive tables. It was generated using a program included in

Consider an unconstrained model with p parameters and a constrained one with q parameters, where q < p. We wish to decide whether the constrained model represents an adequate ®t to the data, or if the additional parameters in the unconstrained model provide, in some important sense, a better ®t to the data. Provided the … p q† additional columns of the design matrix, A, are linearly independent of the previous q columns, the sum of squared residuals must be reduced by some ®nite amount by adjusting the additional parameters, but we must decide whether this improved ®t would have occurred purely by chance, or whether it represents additional information. Let s2c and s2u be the weighted sums of squared residuals for the constrained and unconstrained models, respectively. If the constrained and unconstrained models are equally good representations of the data, and the weights have been assigned 2 values of the sums of squares are by

2 wi ˆ 1=i , the expected

 sc ˆ …n q† and s2u ˆ …n p†, and, further, they should be distributed as 2 with …n q†  and …n p† degrees of freedom, respectively. Also, s2c s2u ˆ … p q†, and …s2c s2u † is distributed as 2 with … p q† degrees of freedom. s2c and s2u are not independent, but …s2c s2u † is the squared magnitude of a vector in a … p q†-dimensional subspace that is orthogonal to the …n p†-dimensional space of s2u . Therefore, s2u and …s2c s2u † are independent, random variables, each with a 2 distribution. Let 21 ˆ …s2c s2u †, 22 ˆ s2u ,  1 ˆ p q, and  2 ˆ n p. The ratio F ˆ …21 = 1 †=…22 = 2 † should have a value close to one, even if the weights have relative rather than absolute values, but we need a measure of how far away from one this ratio can be before we must reject the hypothesis that the two models are equally good representations of the data. The conditional p.d.f. for F, given a value of 22 , is   =2
  … 1 = 2 †22 1 F  1 =2 1 2 exp … 1 = 2 †22 F=2 ; C Fj2 ˆ  =2 1 2 … 1 =2† …8:4:2:1† and the marginal p.d.f. for 22 is
 =2 1
2 2 exp M 22 ˆ  =22 2 2 … 2 =2†

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22 =2 :

…8:4:2:2†

8. REFINEMENT OF STRUCTURAL PARAMETERS Table 8.4.2.1. Values of the F ratio for which the c.d.f. (F, 1 , 2 ) has the value 0.95, for various choices of  1 and  2 1

1

2

4

8

15

4.9646 4.3512 4.1709 4.0847 4.0343 4.0012 3.9604 3.9361 3.9201 3.9042 3.8884 3.8726 3.8648 3.8570 3.8508

4.1028 3.4928 3.3158 3.2317 3.1826 3.1504 3.1108 3.0873 3.0718 3.0564 3.0411 3.0259 3.0183 3.0107 3.0047

3.4781 2.8661 2.6896 2.6060 2.5572 2.5252 2.4859 2.4626 2.4472 2.4320 2.4168 2.4017 2.3943 2.3868 2.3808

3.0717 2.4471 2.2662 2.1802 2.1299 2.0970 2.0564 2.0323 2.0164 2.0006 1.9849 1.9693 1.9616 1.9538 1.9477

2.8450 2.2033 2.0148 1.9245 1.8714 1.8364 1.7932 1.7675 1.7505 1.7335 1.7167 1.6998 1.6914 1.6831 1.6764

Table 8.4.3.1. Values of t for which the c.d.f. (t,) has the values given in the column headings, for various values of 

2 10 20 30 40 50 60 80 100 120 150 200 300 400 600 1000

The marginal p.d.f. for F is obtained by integration of the joint p.d.f.,

R1 …F† ˆ C Fj22 M 22 d22 ; …8:4:2:3† 0

yielding the result …F;  1 ;  2 † ˆ

… 1 = 2 †F  1 =2 1  … ‡ †=2 : …8:4:2:4† B… 1 =2;  2 =2† 1 ‡ … 1 = 2 †F 1 2

This p.d.f. is known as the F distribution with  1 and  2 degrees of freedom. Table 8.4.2.1 gives the values of F for which the c.d.f. …F;  1 ;  2 † is equal to 0.95 for various choices of  1 and  2 . Fortran code for the program from which the table was generated appears in Prince (1994). The cumulative distribution function …F;  1 ;  2 † gives the probability that the F ratio will be less than some value by chance if the models are equally consistent with the data. It is therefore a necessary, but not suf®cient, condition for concluding that the unconstrained model gives a signi®cantly better ®t to the data that …F;  1 ;  2 † be greater than 1 , where  is the desired level of signi®cance. For example, if …F;  1 ;  2 † ˆ 0:95, the probability is only 0:05 that a value of F this large or greater would have been observed if the two models were equally good representations of the data. Hamilton (1964) observed that the F ratio could be expressed in terms of the crystallographic weighted R index, which is de®ned, for re®nement on jFj (and similarly for re®nement on jFj2 ), by Rw ˆ

P

wi …jFo ji

jFc ji †2

P

wi jFo j2i

1=2

:

1Š;

and a c.d.f. for Rc =Ru can be readily derived from this relation. A signi®cance test based on Rc =Ru is known as Hamilton's R-ratio test; it is entirely equivalent to a test on the F ratio. 8.4.3. Comparison of different models

0.95

0.99

0.995

1 2 3 4 6 8 10 12 14 16 20 25 30 35 40 50 60 80 100 120

1.0000 0.8165 0.7649 0.7407 0.7176 0.7064 0.6998 0.6955 0.6924 0.6901 0.6870 0.6844 0.6828 0.6816 0.6807 0.6794 0.6786 0.6776 0.6770 0.6765

3.0777 1.8856 1.6377 1.5332 1.4398 1.3968 1.3722 1.3562 1.3450 1.3368 1.3253 1.3164 1.3104 1.3062 1.3031 1.2987 1.2958 1.2922 1.2901 1.2886

6.3138 2.9200 2.3534 2.1319 1.9432 1.8596 1.8125 1.7823 1.7613 1.7459 1.7247 1.7081 1.6973 1.6896 1.6839 1.6759 1.6707 1.6641 1.6602 1.6577

31.8206 6.9646 4.5407 3.7469 3.1427 2.8965 2.7638 2.6810 2.6245 2.5835 2.5280 2.4851 2.4573 2.4377 2.4233 2.4033 2.3901 2.3739 2.3642 2.3578

63.6570 9.9249 5.8409 4.6041 3.7074 3.3554 3.1693 3.0546 2.9769 2.9208 2.8453 2.7874 2.7500 2.7238 2.7045 2.6778 2.6603 2.6387 2.6259 2.6174

zi x i b ; l ˆ iˆ1 n P xi2

…8:4:3:1†

iˆ1

and it has an estimated variance n P

b 2l ˆ

iˆ1

z2i

…n

P 2 b l2 xi n

iˆ1

1†

n P iˆ1

x 2i

:

…8:4:3:2†

The hypothesis that the two models give equally good ®ts to the data can be tested by considering b l to be an unconstrained, oneparameter ®t that is to be compared with a constrained, zeroparameter ®t for which l ˆ 0. A p.d.f. for making this comparison can be derived from an F distribution with  1 ˆ 1 and  2 ˆ  ˆ …n 1†.

Tests based on F or the R ratio have several limitations. One important one is that they are applicable only when the 704

705 s:\ITFC\ch-8-4.3d (Tables of Crystallography)

0.90

n P

…8:4:2:5†

…8:4:2:6†

0.75

parameters of one model form a subset of the parameters of the other. Also, the F test makes no distinction between improvement in ®t as a result of small improvements throughout the entire data set and a large improvement in a small number of critically sensitive data points. A test that can be used for comparing arbitrary pairs of models, and that focuses attention on those data points that are most sensitive to differences in the models, was introduced by Williams & Kloot (1953; also Himmelblau, 1970; Prince, 1982). Consider a set of observations, y0i , and two models that predict values for these observations, y1i and y2i , respectively. We determine the slope of the regression line z ˆ lx, where  zi ˆ y0i …1=2†…y1i ‡ y2i † =i , and xi ˆ …y1i y2i †=i . Suppose model 1 is a perfect ®t to the data, which have been measured with great precision, so that y0i ˆ y1i for all i. Under these conditions, l ˆ ‡1=2. Similarly, if model 2 is a perfect ®t, l ˆ 1=2. Real experimental data, of course, are subject to random error, and jlj in general would be expected to be less than 1=2. A least-squares estimate of l is

Denoting by Rc and Ru the weighted R indices for the constrained and unconstrained models, respectively, F ˆ … 2 = 1 †‰…Rc =Ru †2



‰… ‡ 1†=2Š …F; 1; † ˆ p : vF …=2†…1 ‡ F= †…‡1†=2

…8:4:3:3†

If we let jtj ˆ RF0 0

8.4. STATISTICAL SIGNIFICANCE TESTS

p F , and use …F; 1; † dF ˆ

‡t R0 t0

…t; † dt;

…8:4:3:4†

[where Aij ˆ @Mi …x†=@xj ] is a good one. Let R be the Cholesky factor of W , so that W ˆ RT R, and let Z ˆ RA, y0 ˆ y y0 , y y0 . The least-squares estimate may then be and b y0 ˆ b written b x ˆ x0 ‡ …ZT Z† 1 ZT y0

we can derive a p.d.f. for t, which is ‰… ‡ 1†=2Š …t; † ˆ p : …‡1†=2  …=2†‰1 ‡ t2 = Š

…8:4:3:5†

This p.d.f. is known as Student's t distribution with  degrees of freedom. Setting t ˆ b l=b l , the c.d.f. …t; † can be used to test the alternative hypotheses l ˆ 0 and l ˆ 1=2. Table 8.4.3.1 gives the values of t for which the c.d.f. …t; † has various values for various values of . Fortran code for the program from which this table was generated appears in Prince (1994). Again, it must be understood that the results of these statistical comparisons do not imply that either model is a correct one. A statistical indication of a good ®t says only that, given the model, the experimenter should not be surprised at having observed the data values that were observed. It says nothing about whether the model is plausible in terms of compatibility with the laws of physics and chemistry. Nor does it rule out the existence of other models that describe the data as well as or better than any of the models tested. 8.4.4. In¯uence of individual data points When the method of least squares, or any variant of it, is used to re®ne a crystal structure, it is implicitly assumed that a model with adjustable parameters makes an unbiased prediction of the experimental observations for some (a priori unknown) set of values of those parameters. The existence of any re¯ection whose observed intensity is inconsistent with this assumption, that is that it differs from the predicted value by an amount that cannot be reconciled with the precision of the measurement, must cause the model to be rejected, or at least modi®ed. In making precise estimates of the values of the unknown parameters, however, different re¯ections do not all carry the same amount of information (Shoemaker, 1968; Prince & Nicholson, 1985). For an obvious example, consider a spacegroup systematic absence. Except for possible effects of multiple diffraction or twinning, any observed intensity at a position corresponding to a systematic absence is proof that the screw axis or glide plane is not present. If no intensity is observed for any such re¯ection, however, any parameter values that conform to the space group are equally acceptable. It is to be expected, on the other hand, that some intensities will be extremely sensitive to small changes in some parameter, and that careful measurement of those intensities will lead to correspondingly precise estimates of the parameter values. For the purpose of precise structure re®nement, it is useful to be able to identify the in¯uential re¯ections. Consider a vector of observations, y, and a model M…x†. The elements of y de®ne an n-dimension space, and the model values, Mi …x†, de®ne a p-dimensional subspace within it. The leastsquares solution [equation (8.1.2.7)], T

1

T

b x ˆ …A WA† A W…y

y0 †;

…8:4:4:1†

is such that b y ˆ M…b x† is the closest point to y that corresponds to some possible value of x. In (8.4.4.1), W ˆ V 1 is the inverse of the variance±covariance matrix for the joint p.d.f. of the elements of y, and y0 ˆ M…x0 † is a point in the p-dimensional subspace close enough to M…b x† so that the linear approximation M…x† ˆ y0 ‡ A…x

x0 †

…8:4:4:2†

and b x y0 ˆ Z…b

x0 † ˆ Z…ZT Z† 1 ZT y0 : T

…8:4:4:4†

T

Thus, the matrix P ˆ Z…Z Z†Z , the projection matrix, is a linear relation between the observed data values and the corresponding calculated values. (Because b y 0 ˆ Py0 , the matrix P is frequently referred to in the statistical literature as the hat matrix.) P 2 ˆ Z…ZT Z† 1 ZT Z…ZT Z† 1 ZT ˆ Z…ZT Z† 1 ZT ˆ P, so that P is idempotent. P is an n  n positive semide®nite matrix with rank p, and its eigenvalues are either 1 (p times) or 0 (n p times). Its diagonal elements lie in the range 0  Pii  1, and the trace of P is p, so that the average value of Pii is p=n. Furthermore, n P Pii ˆ Pij2 : …8:4:4:5† jˆ1

A diagonal element of P is a measure of the in¯uence that an observation has on its own calculated value. If Pii is close to one, the model is forced to ®t the ith data point, which puts a constraint on the value of the corresponding function of the parameters. A very small value of Pii , because of (8.4.4.5), implies that all elements of the row must be small, and that observation has little in¯uence on its own or any other calculated value. Because it is a measure of in¯uence on the ®t, Pii is sometimes referred to as the leverage of the ith observation. Note that, because …ZT Z† 1 ˆ V x , the variance± covariance matrix for the elements of b x, P is the variance± covariance matrix for b y, whose elements are functions of the elements of b x. A large value of Pii means that yi is poorly de®ned by the elements of b x, which implies in turn that some elements of b x must be precisely de®ned by a precise measurement of y0i . It is apparent that, in a real experiment, there will be appreciable variation among observations in their leverage. It can be shown (Fedorov, 1972; Prince & Nicholson, 1985) that the observations with the greatest leverage also have the largest effect on the volume of the p-dimensional con®dence region for the parameter estimates. Because this volume is a rather gross measure, however, it is useful to have a measure of the in¯uence of individual observations on individual parameters. Let V n be the variance±covariance matrix for a re®nement including n observations, and let z be a row vector whose elements are zj ˆ ‰@M…x†=@xj Š= for an additional observation. V n‡1 , the variance±covariance matrix with the additional observation included, is, by de®nition, V n‡1 ˆ …ZT Z ‡ zT z† 1 ;

…8:4:4:6†

which, in the linear approximation, can be shown to be V n‡1 ˆ V n

V n zT zV n =…1 ‡ zV n zT †:

…8:4:4:7†

The diagonal elements of the rank one matrix D ˆ V n zT zV n =…1 ‡ zV n zT † are therefore the amounts that the variances of the estimates of individual parameters will be reduced by inclusion of the additional observation. This result depends on the elements of Z and z not changing xn‡1 . signi®cantly in the (presumably small) shift from b xn to b That this condition is satis®ed may be veri®ed by the following procedure. Find an approximation to b xn‡1 by a line search

705

706 s:\ITFC\ch-8-4.3d (Tables of Crystallography)

…8:4:4:3†

8. REFINEMENT OF STRUCTURAL PARAMETERS h

i1=2 Bij  ZT Z ‡ zT z ZT Z ‡ zT z ii jj

along the line x ˆ b xn ‡ V n‡1 zT y0n‡1 , and then evaluate B, a quasi-Newton update such as the BFGS update (Subsection 8.1.4.3) at that point. If  ˆ 1, and the gradient of the sum of squares vanishes, then the linear approximation is exact, and B is null. If

for all i and j, then (8.4.4.7) can be expected to be an excellent approximation for a nonlinear model.

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…8:4:4:8†

International Tables for Crystallography (2006). Vol. C, Chapter 8.5, pp. 707–709.

8.5. Detection and treatment of systematic error By E. Prince and C. H. Spiegelman

8.5.1. Accuracy

b x ˆ G 2 …AT WA† 1 : V

Chapter 8.4 discusses statistical tests for goodness of ®t between experimental observations and the predictions of a model with adjustable parameters whose values have been estimated by least squares or some similar procedure. In addition to the estimates of parameter values, one can also make estimates of the uncertainties in those values, estimates that are usually expressed in terms of an estimated standard deviation or, according to recommended usage (ISO, 1993), a standard uncertainty. A standard deviation is a measure of precision, that is, a measure of the width of a con®dence interval that results from random ¯uctuations in the measurement process. What the experimenter who collected the data wants to know about, of course, is accuracy, a measure of the location of a region within which nature's `correct' value lies, as well as its width (Prince, 1994). In performing a re®nement, we have assumed implicitly that the observations have been drawn at random from a population the mean of whose p.d.f. is given by a model when all of its parameters have those unknown, correct values. If this assumption is incorrect, the expected value of the estimate may no longer be near to the correct value, and the estimate contains bias, or systematic error. An accurate measurement is one that not only is precise but also has small bias. In this chapter, we shall discuss various criteria by which the results of a re®nement may be judged in order to determine whether they are free of systematic error, and thus whether they may be considered accurate.

Frequently, however, there is some other, independent estimate of the variance of the observation, i2 , derived, for example, from counting statistics or from the observed scatter among symmetry-equivalent re¯ections. If this estimate is inconsistent with the hypothesis that all data points have been overweighted by a constant factor, then the assumption that the parameter estimates are unbiased but less precise than the original weights would indicate must be discarded. Instead, it must be assumed that the model is incorrect, or at least incomplete. A systematic error may be considered to cause the model to be incomplete, and may introduce bias into some or all of the re®ned parameters. (Note that in many standard statistical texts it is implicitly assumed, without so stating, that the data have already been scaled by a set of correct, relative weights. It is thus easy for the unwary reader to make the error of assuming that the practice of multiplying by the goodness-of-®t parameter is a well established procedure.) The use of (8.5.2.2) to compute estimated variances and standard uncertainties assumes implicitly that the effect of lack of ®t on parameter estimates is random, and applies equally to all parameters, even though different types of parameter may have very different mathematical relations in the model. With a model as complex as the crystallographic structure-factor formula, this assumption is certainly questionable. Information about the nature of the model inadequacies can be obtained by examining the residuals (Belsley, Kuh & Welsch, 1980; Belsley, 1991). The standardized residuals, x†Š=u0i , where b x is the least-squares estimate of the Ri ˆ ‰yi Mi …b parameters, should be randomly distributed, with zero mean, not only for the data set as a whole but also for subsets of the data that are chosen in a manner that depends only on the model and not on the observed values of the data. Here, u0i is the standard uncertainty of the residual and is related to ui , the standard uncertainty of the observation, by u0i ˆ ui …1 Pii †, where Pii is a diagonal element of the projection matrix (Section 8.4.4). A scatter plot, in which the residuals are plotted against some control variable, such as jFcalc j, sin =l, or one of the Miller indices, should reveal no general trends. The existence of any such trend may indicate a systematic effect that depends on the corresponding variable. The model may then be modi®ed by inclusion of a factor that is proportional to that variable, and the re®nement repeated. An examination of the shifts in the other parameters, and of the new row or column of the variance±covariance matrix, will then reveal which of the parameters in the unmodi®ed model are likely to have been biased by the systematic effect. When this procedure has been followed, it is extremely important to consider carefully the nature of the additional effect and determine whether it is plausible in terms of physics and chemistry. Another procedure for detecting systematic lack of ®t makes use of the fact that, if the model is correct, and the error distribution is approximately normal, or Gaussian, the distribution of residuals will also be approximately normal. A large sample may be checked for normality by means of a quantile± quantile, or Q±Q, plot (Abrahams & Keve, 1971; Kafadar & Spiegelman, 1986). To make such a plot, the residuals are ®rst sorted in ascending order of magnitude. If there are n points in the data set, the value of the ith sorted residual should be close to the value, xi , for which

8.5.2. Lack of ®t We saw in Section 8.4.2 that the sum of squared residuals from an ideally weighted, least-squares ®t to a correct model is a sum of terms that has expected value …n p† and is distributed as 2 with  ˆ n p degrees of freedom. Further, the residuals have a distribution with zero mean. A value for the sum that exceeds …n p† by an amount that is improbably large is an indication of lack of ®t, which may be due to an incorrect model for the mean or to nonideal weighting or both. fThe sum, S, may be considered to be improbably large when the value of the 2 cumulative distribution function, 2 ‰S; …n p†Š, is close to 1:0. A value for the sum that is substantially less than …n p† may also be an indication that the model contains more parameters than can be justi®ed by the data set. Note also that a reasonable value for the sum of squared residuals does not prove that the model is correct. It indicates that the model adequately describes the data, but it in no way rules out the existence of alternative models that describe the data equally well.g If the sum of squares is greater than …n p†, it is commonly assumed that the mean model is correct, and that the weights have appropriate relative values, although their absolute values may be too large. If w ˆ k2 =u2i , where k is some number greater than one, and ui is the standard uncertainty of the ith observation, the goodness-of-®t parameter, n 1=2 P Gˆ wi ‰yi Mi …b x†Š2 =…n p† ; …8:5:2:1† iˆ1

is taken to be an estimate of k, and all elements of the inverse of the normal-equations matrix are multiplied by k2 to obtain the estimated variance±covariance matrix

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…8:5:2:2†

8. REFINEMENT OF STRUCTURAL PARAMETERS …xi † ˆ …2i

1†=2n;

…8:5:2:3†

where …x† is the cumulative distribution function for the normal p.d.f. A plot of Ri against xi should be a straight line with zero intercept and unit slope. A straight line with a slope greater than one suggests that the model is satisfactory, but that the variances of the data points have been systematically underestimated. Lack of ®t is suggested if the curve has a higher slope near the ends, indicating that large residuals occur with greater frequency than would be predicted by the normal p.d.f. The sorted residuals tend to be strongly correlated. A positive displacement from a smooth curve tends to be followed by another positive displacement, and a negative one by another negative one, which gives the Q±Q plot a wavy appearance, and it may be dif®cult to decide whether it is a straight line or not. Because of this, a useful alternative to the Q±Q plot is the conditional Q±Q plot (Kafadar & Spiegelman, 1986), so called because the abscissa for plotting the ith sorted residual is the mean of a conditional p.d.f. for that residual given the observed values of all the others. To construct a conditional Q±Q plot, ®rst transform the distribution to a uniform p.d.f. by Ui ˆ …Ri ; ; †;

…8:5:2:4†

where  and  are resistant estimates (Section 8.2.2) of the mean and standard deviation of the p.d.f., such as the median and 0.75 times the interquartile range, and represents the cumulative distribution function. Letting U0 ˆ 0 and Un‡1 ˆ 1, the expected value of Ui , given all the others, is hUi i ˆ …Ui

1

‡ Ui‡1 †=2:

…8:5:2:5†

The ith abscissa for the Q±Q plot is then xi ˆ 1 …hUi i; ; †;

…8:5:2:6†

1

where …y; ; † is a per cent point function, or p.p.f., the value of x for which …x; ; † ˆ y. Q±Q plots for subsets of the data can reveal, by nonzero intercepts, that those subsets are subject to a systematic bias. Because of its property of removing short-range kinks in the curve, the conditional Q±Q plot can be particularly useful in this application. The values of  and  used for the transformation to a uniform distribution, as in (8.5.2.4), should be those determined from the entire data set. A Q±Q plot will reveal data points that are in poor agreement with the model, but that do not belong to any easily identi®able subset. Because of the central limit theorem (Section 8.4.1), however, the least-squares method tends to force the distribution of the residuals toward a normal distribution, and the discrepant points may not be clearly evident. A robust/resistant procedure (see Section 8.2.2), because it reduces the in¯uence of strongly discrepant data points, helps to separate them from the body of the data. Therefore, if a data set contains discrepant points, a Q±Q plot of the residuals from a robust/resistant ®t will tend to have greater curvature at the extremes than one from a corresponding least-squares ®t. If the discrepant data points that are thus identi®ed have a pattern, this information may enable a systematic error to be characterized. 8.5.3. In¯uential data points Section 8.4.4 discusses the in¯uence of individual data points on the estimation of parameters and how to identify the data points that should be measured with particular care in order to make the most precise estimates of particular parameters. The same properties that cause these in¯uential data points to be most effective in reducing the uncertainty of a parameter estimate

when the model is a correct predictor for the observations also cause them to have the greatest potential for introducing bias if there is a ¯aw in the model or, correspondingly, if they are subject to systematic error. Reviews of procedures for studying the effects of in¯uential data points and outliers have been given by Beckman & Cook (1983), by Chatterjee & Hadi (1986), and by Belsley (1991). The effects of possible systematic error can be studied by identifying in¯uential data points and then observing the effects of deleting them one by one from the re®nement. The deletion of a data point should affect the standard uncertainty of an estimate, but should not cause a shift in its mean that is more than a small multiple of the resulting standard uncertainty. As in Section 8.4.4, we de®ne the design matrix, A, by Aij ˆ @Mi …x†=@xj ;

where Mi …x† is the model function for the ith data point, and x is a vector of adjustable parameters. Let R be the upper triangular Cholesky factor of the weight matrix, so that W ˆ RT R, and de®ne the weighted design matrix by Z ˆ RA and the weighted vector of observations by y0 ˆ Ry. The least-squares estimate of x is then b x ˆ …ZT Z† 1 ZT y0 ;

…8:5:3:2†

and the vector of predicted values is b y0 ˆ Z…ZT Z† 1 ZT y0 ˆ Py0 ;

…8:5:3:3†

where P is the projection, or hat, matrix. A diagonal element, Pii , of P is a measure of the leverage, that is of the relative in¯uence, of the ith data point, and therefore of the sensitivity of the estimates of the elements of x to an error in the measurement of that data point. Pii lies in the range 0  Pii  1, and it has average value p=n, so that data points with values of Pii greater than 2p=n can be considered particularly in¯uential. Let H ˆ ZT Z be the normal-equations matrix, let V ˆ H 1 be the estimated variance±covariance matrix, and let q ˆ ZT y0 , so that b x ˆ V q. Let zi be the ith row of Z, and denote by Z…i† , H …i† , …i† V , q…i† , and b x…i† the respective matrices and vectors computed with the ith data point deleted from the data set. We wish to ®nd …i† 1=2 x …i† , so we need to compute V …i† large values of jb xj b j j=‰Vjj Š …i† and x . With a derivation similar to that for (8.4.4.7), it can be shown (Fedorov, 1972; Prince & Nicholson, 1985) that V …i† ˆ V ‡

V zTi zi V V zTi zi V ˆ V ‡ : …1 zi V zTi † …1 Pii †

…8:5:3:4†

Note that, if Pii ˆ 1, all elements of V …i† become in®nite, implying that H …i† is singular. Thus, if such a data point is deleted, the solution is no longer determinate. Now, b x …i† ˆ V …i† q…i†

…8:5:3:5†

and q…i† ˆ q

y0i zTi ;

…8:5:3:6†

so that, when V and b x have been computed once, it is a straightforward and inexpensive additional computation to determine whether any parameter has been strongly in¯uenced, and therefore potentially biased, by the inclusion of any data point in the re®nement. If there is any reason to be concerned about possible systematic error, the leverage of every data point included in the re®nement should be computed, and the effects of deletion of all of those with leverage greater than 2p=n should be observed.

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…8:5:3:1†

8.5. DETECTION AND TREATMENT OF SYSTEMATIC ERROR 8.5.4. Plausibility of results A study of residuals to detect a pattern of discrepancies will reveal the presence of systematic error, or model inadequacy, only if different subsets of the data are affected differently. Some sources of bias, however, have noticeable effects throughout the data set, and missing parameters may mimic others that have been included, thus introducing bias without any apparent lack of ®t. To cite an obvious example, determination of unit-cell dimensions requires an accurate value of the wavelength of the radiation being used. If this value is incorrect, inferred values of the cell constants may be reproduced repeatedly with great precision, but all will be subject to a systematic bias that has no effect on the quality of the ®t. Even though the structure of the residuals in such a case reveals little about possible systematic error, it is still possible to detect it by critical examination of the estimated parameters. Even before any data have been collected in preparation for the determination of a crystal structure, a great deal is known about certain details. It is known that the crystal is composed of atoms of certain elements that are present in certain proportions. It is known that pairs of atoms of various elements cannot be less than a certain distance apart, and, further, that adjacent atoms tend to be separated by distances that fall within a rather narrow range. It is known that thermal vibration amplitudes are likely to be larger in directions normal to interatomic vectors than parallel to them, although, particularly in the case of hydrogen bonds, there may be an apparent amplitude parallel to a vector because of atomic disorder. Even when there is a particularly unusual

feature in a structure, most of the structure will conform to commonly observed patterns. Thus, if a re®ned crystal structure overall has reasonable features, such as interatomic distances that are appropriate to oxidation state and coordination number and displacement ellipsoids that make sense, one or two unusual features may be accepted with con®dence. On the other hand, if there is wide variation in the lengths of chemically similar bonds, or if the eigenvectors of the thermal motion tensors point in odd directions relative to the interatomic vectors, there must be a presumption that systematic errors have been compensated for by biased estimates of parameters. A particular problem arises when there is a question of the presence or absence of symmetry, such as a choice between two space groups, one of which possesses a centre of symmetry or a mirror plane, or a case where a symmetric molecule occupies a position whose environment has a less-symmetric point group. If symmetry constraints are relaxed, the model can always be re®ned to a lower sum of squared residuals. (For a discussion of numerical problems that occur in the vicinity of a symmetric con®guration, see Section 8.1.3.) The problem comes from the fact that the removal of the symmetry element almost always introduces too many additional parameters. Statistical tests are then quite likely to indicate that the lower-symmetry model gives a signi®cantly better ®t, but consideration of internal consistency and chemical or physical plausibility is likely to suggest that much systematic error has been absorbed by the additional parameters. The proper procedure is to devise a model with noncrystallographic constraints (see Section 8.3.2) that expresses what is, for chemical or physical reasons, known or probable. To do so may require great patience and perseverence.

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International Tables for Crystallography (2006). Vol. C, Chapter 8.6, pp. 710–712.

8.6. The Rietveld method

By A. Albinati and B. T. M. Willis where s is a scale factor, mk is the multiplicity factor for the kth re¯ection, Lk is the Lorentz±polarization factor, Fk is the structure factor and Gik is the `peak-shape function' (PSF). The summation in (8.6.1.2) is over all nearby re¯ections, k1 to k2 , contributing to a given data point i. A fundamental problem of the Rietveld method is the formulation of a suitable peak-shape function. For X-rays, a mixture of Gaussian and Lorentzian components is sometimes used (see Subsection 8.6.2.2). For neutrons, it is easier to ®nd a suitable analytical function, and this is, perhaps, the main reason for the initial success of neutron Rietveld analysis. For a neutron diffractometer operating at a ®xed wavelength and moderate resolution, the PSF is approximately a Gaussian of the form r   2 ln 2 4 ln 2 …2i 2k †2 exp ; …8:6:1:3† Gik ˆ Hk  Hk2

In the Rietveld method of analysing powder diffraction data, the crystal structure is re®ned by ®tting the entire pro®le of the diffraction pattern to a calculated pro®le. There is no intermediate step of extracting structure factors, and so patterns containing many overlapping Bragg peaks can be analysed. The method was applied originally by Rietveld (1967, 1969) to the re®nement of neutron intensities recorded at a ®xed wavelength. Subsequently, it has been used successfully for analysing powder data from all four categories of experimental technique, with neutrons or X-rays as the primary radiation and with scattered intensities measured at a ®xed wavelength (and variable scattering angle) or at a ®xed scattering angle (and variable wavelength). Powder re®nements are usually less satisfactory than those on single-crystal data, as the three-dimensional information of the reciprocal lattice is compressed into one dimension in the powder pattern. Nevertheless, a large number of successful re®nements by the Rietveld method has been reported; reviews have been given by Taylor (1985), Hewat (1986), Cheetham & Wilkinson (1992), Young (1993), Harris & Tremayne (1996), Masciocchi & Sironi (1997), Harris et al. (2001) and David et al. (2002). Here we shall discuss only the basic principles of the re®nement procedure.

where Hk is the full width at half-maximum (FWHM) of the peak, 2i is the scattering angle at the ith point, and k is the Bragg angle for re¯ection k. The angular dependence of the FWHM for a Gaussian peakshape function can be written in the form

8.6.1. Basic theory

Hk2 ˆ U tan2 k ‡ V tan k ‡ W ;

The model of the structure is re®ned by least-squares minimization of the residual

where U; V and W are half-width parameters independent of k (Caglioti, Paoletti & Ricci, 1958). To allow for intrinsic sample broadening and instrumental resolution, U; V and W are treated as adjustable variables in the least-squares re®nement. The tails of a Gaussian peak decrease rapidly with distance from the maximum, and the intensity at one-and-a-half times the FWHM from the peak is only about 0.2% of the intensity at the peak. Thus, no large error is introduced by assuming that the peak extends over a range of approximately 1:5Hk and is cut off outside this range. The FWHM for the Lorentzian (see Subsection 8.6.2.2) can be modelled by the relation

Mˆ

N P iˆ1

 wi yi …obs:†

2 yi …calc:† :

…8:6:1:1†

yi …obs:† is the intensity measured at a point i in the diffraction pattern corrected for the background intensity bi , wi is its weight, and yi …calc:† is the calculated intensity. If the background at each point is assumed to be zero, and if the only source of error in measuring the intensities is that from counting statistics, the weight is given by   1 wi ˆ yi …obs:† : The summation in (8.6.1.1) runs over all N data points. The number of data points can be arbitrarily increased by reducing the interval between adjacent steps. However, this does not necessarily imply an improvement in the standard uncertainties (s.u.'s; see Section 8.1.2) of the structural parameters (see Subsection 8.6.2.5), which are dependent on the number of linearly independent columns in the design matrix [equation (8.1.2.3)]. The number of independent observations in a powder pattern is determined by the extent of overlapping of adjacent re¯ections. An intuitive argument for estimating this number has been proposed by Altomare et al. (1995) and a more rigorous statistical estimate has been described by Sivia (2000). The strategy for choosing the number of steps and apportioning the available counting time has been discussed by McCusker et al. (1999) and references therein. The relation between counting statistics and the s.u.'s has been discussed by Baharie & Pawley (1983) and by Scott (1983). The calculated intensity is evaluated using the equation yi …calc:† ˆ s

k2 P kˆk1

2 mk Lk Fk Gik ;

…8:6:1:2†

Hk ˆ X tan k ‡ Y = cos k : The Lorentzian function extends over a much wider range than the Gaussian. A more ¯exible approach to this line-broadening problem is described by McCusker et al. (1999). The least-squares parameters are of two types. The ®rst contains the usual structural parameters: for example, fractional coordinates of each atom in the asymmetric unit and the corresponding isotropic or anisotropic displacement parameters. The second type represents `pro®le parameters' which are not encountered in a least-squares re®nement of singlecrystal data. These include the half-width parameters and the dimensions of the unit cell. Further parameters may be added to both groups allowing for the modelling of the background and for the asymmetry of the re¯ections. The maximum number of parameters that can be safely included in a Rietveld re®nement is largely determined by the quality of the diffraction pattern, but intrinsic line broadening will set an upper limit to this number (Hewat, 1986). The following indicators are used to estimate the agreement with the model during the course of the re®nement.

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8.6. THE RIETVELD METHOD "  2 # 1 Profile R factor: P 2
2ik 1‡4 …Lorentzian† Gik ˆ yi …obs:† yi …calc:† Hk Hk P : RP ˆ i " yi …obs:†  2 # 1 i 2
2ik Gik ˆ 1‡4 Hk Hk Weighted pro®le R factor: " p  2 # 2 ln 2
2 ik 2P 2 31=2 ‡ …1 † p exp 4 ln 2 (pseudo-Voigt) wi yi …obs:† yi …calc:† Hk Hk 7 6 P
" RwP ˆ 4 i 5 :  # n wi y2i …obs:†

2ik 2 2 …n† 21=n 1 1=n
1‡4 2 1 Gik ˆ i Hk Hk n 12 Bragg R factor: P RI ˆ

k

Ik …calc:†

Ik …obs:† P Ik …obs:†

(Pearson VII) :

k

Expected R factor: 2

31=2 N P 5 : RE ˆ 4 P wi y2i …obs:† i

Ik is the integrated intensity of the kth re¯ection, N is the number of independent observations, and P is the number of re®ned parameters. The most important indicators are RwP and RE . The ratio RwP =RE is the so-called `goodness-of-®t', 2 : in a successful re®nement 2 should approach unity. The Bragg R factor is useful, since it depends on the ®t of the structural parameters and not on the pro®le parameters.

8.6.2. Problems with the Rietveld method One should be aware of certain problems that may give rise to failure in a Rietveld re®nement.

8.6.2.1. Indexing The ®rst step in re®nement is the indexing of the pattern. As the Rietveld method is often applied to the re®nement of data for which the unit-cell parameters and space group are already known, there is then little dif®culty in indexing the pattern, provided that there are a few well resolved lines. Without this knowledge, the indexing requires, as a starting point, the measurement of the d values of low-angle diffraction lines to high accuracy. According to Shirley (1980): `Powder indexing works beautifully on good data, but with poor data it usually will not work at all'. The indexing of powder patterns and associated problems are discussed by Shirley (1980), Pawley (1981), Cheetham (1993) and Werner (2002).

8.6.2.2. Peak-shape function (PSF) The appropriate function to use varies with the nature of the experimental technique. In addition to the Gaussian PSF in (8.6.1.3), functions commonly used for angle-dispersive data are (Young & Wiles, 1982):

where
2ik ˆ 2i 2k .  is a parameter that de®nes the fraction of Lorentzian character in the pseudo-Voigt pro®le. …n† is the gamma function: when n ˆ 1; Pearson VII becomes a Lorentzian, and when n ˆ 1; it becomes a Gaussian. The tails of a Gaussian distribution fall off too rapidly to account for particle size broadening. The peak shape is then better described by a convolution of Gaussian and Lorentzian functions [i.e. Voigt function: see Ahtee, Nurmela & Suortti (1984) and David & Matthewman (1985)]. A pulsed neutron source gives an asymmetrical line shape arising from the fast rise and slow decay of the neutron pulse: this shape can be approximated by a pair of exponential functions convoluted with a Gaussian (Albinati & Willis, 1982; Von Dreele, Jorgensen & Windsor, 1982). The pattern from an X-ray powder diffractometer gives peak shapes that cannot be ®tted by a simple analytical function. Will, Parrish & Huang (1983) use the sum of several Lorentzians to express the shape of each diffraction peak, while Hepp & Baerlocher (1988) describe a numerical method of determining the PSF. Pearson VII functions have also been successfully used for X-ray data (Immirzi, 1980). A modi®ed Lorentzian function has been employed for interpreting data from a Guinier focusing camera (Malmros & Thomas, 1977). PSFs for instruments employing X-ray synchrotron radiation can be represented by a Gaussian (Parrish & Huang, 1980) or a pseudo-Voigt function (Hastings, Thomlinson & Cox, 1984). 8.6.2.3. Background The background may be determined by measuring regions of the pattern that are free from Bragg peaks. This procedure assumes that the background varies smoothly with sin =l, whereas this is not the case in the presence of disorder or thermal diffuse scattering (TDS), which rises to a maximum at the Bragg positions. An alternative approach is to include a background function in the re®nement model (Richardson, 1993). If the background is not accounted for satisfactorily, the temperature factors may be incorrect or even negative. The various procedures for estimating the background for X-ray, synchrotron, constantwavelength and TOF neutron powder patterns are reviewed by McCusker et al. (1999). In neutron diffraction, the main contribution to the background from hydrogen-containing samples is due to incoherent scattering. Deuterating the sample is essential in order to substantially reduce this background.

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8. REFINEMENT OF STRUCTURAL PARAMETERS 8.6.2.4. Preferred orientation and texture Preferred orientation is a formidable problem which can drastically affect the measured intensities. A simple correction formula for plate-like morphology was given by Rietveld (1969). Ahtee, Unonius, Nurmela & Suortti (1989) have shown how the effects of preferred orientation can be included in the re®nement by expanding the orientation distribution in spherical harmonics. Quantitative texture analysis based on spherical harmonics has been implemented in the Rietveld re®nement code by Von Dreele (1997). A general model of the texture has also been described by Popa (1992). It may be possible to remove or reduce the effect of preferred orientation by mixing the sample with a suitable diluent. An additional problem is caused by particle size and strain broadening, which are not smooth functions of the diffraction angle. These effects can be taken into account by phenomenological models (e.g. Dinnebier et al., 1999; Pratapa, O'Connor & Hunter, 2002) or by an analytical approach such as that of Popa & Balzar (2002).

The determination of the elastic stresses and strains in polycrystals can be determined from diffraction line shifts using Rietveld re®nement (Popa & Balzar, 2001). 8.6.2.5. Statistical validity Sakata & Cooper (1979) criticized the Rietveld method on the grounds that different residuals yi …obs:†

related to the same Bragg peak are correlated with one another, and they asserted that this correlation leads to an uncertainty in the standard uncertainties of the structural parameters. Prince (1981) has challenged this conclusion and stated that the s.u.'s given by the Rietveld procedure are correct if the crystallographic model adequately ®ts the data. However, even if the s.u.'s are correct, they are measures of precision rather than accuracy, and attempts to assess accuracy are hampered by lack of information concerning correlations between systematic errors (Prince, 1985, 1993).

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yi …calc:†

International Tables for Crystallography (2006). Vol. C, Chapter 8.7, pp. 713–734.

8.7. Analysis of charge and spin densities

By P. Coppens, Z. Su and P. J. Becker R 1 …r† ˆ n …1; 1† ds1 8.7.1. Outline of this chapter R ˆn …1; 2; . . . ; n†  …1; 2; . . . ; n† ds1 d2 . . . dn: …8:7:2:4† Knowledge of the electron distribution is crucial for our understanding of chemical and physical phenomena. It has An electron density …r† that can be represented by an been assumed in many calculations (e.g. Thomas, 1926; Fermi, antisymmetric N-electron wave function and is derivable from 1928; and others), and formally proven for non-degenerate that wave function through (8.7.2.4) is called N-representable. systems (Hohenberg & Kohn, 1964) that the electronic energy is As in any real system, the particles will undergo vibrations, so a functional of the electron density. Thus, the experimental (8.7.2.4) must be modi®ed to allow for the continuous change in measurement of electron densities is important for our under- the con®guration of the nuclei. The commonly used Born± standing of the properties of atoms, molecules and solids. One of Oppenheimer approximation assumes that the electrons rethe main methods to achieve this goal is the use of scattering arrange instantaneously in the ®eld of the oscillating nuclei, techniques, including elastic X-ray scattering, Compton scatter- which leads to the separation ing of X-rays, magnetic scattering of neutrons and X-rays, and …8:7:2:5† ˆ e …r; R†
N …R†; electron diffraction. Meaningful information can only be obtained with data of the where r and R represent the electronic and nuclear coordinates, utmost accuracy, which excludes most routinely collected respectively, and e is the electronic wavefunction, which is a crystallographic data sets. The present chapter will review the function of both the electronic and nuclear coordinates. The basic concepts and expressions used in the interpretation of time-averaged, one-electron density …r†, which is accessible accurate data in terms of the charge and spin distributions of the experimentally through the elastic X-ray scattering experiment, electrons. The structure-factor formalism has been treated in is obtained from the static density by integration over all nuclear Chapter 1.2 of Volume B (IT B, 1992). con®gurations:

 R …r† ˆ …r; R†P…R† dR; …8:7:2:6† 8.7.2. Electron densities and the n-particle wavefunction A wavefunction …1; 2; 3; . . . ; n† for a system of n electrons is a function of the 3n space and n spin coordinates of the electrons. The wavefunction must be antisymmetric with respect to the interchange of any two electrons. The most general density function is the n-particle density matrix, of dimension 4n  4n, de®ned as n

…1; 2; . . . ; n; 10 ; 20 ; . . . ; n0 † ˆ …1; 2; . . . ; n†



…10 ; 20 ; . . . ; n0 †: …8:7:2:1†

In this expression, each index represents both the continuous space coordinates and the discontinuous spin coordinates of each of the n particles. Thus, the n-particle density matrix is a representation of the state in a 6n-dimensional coordinate space, and the n-dimensional (discontinuous) spin state. The pth reduced density matrix can be derived from (8.7.2.1) by integration over the space and spin coordinates of n p particles, p

…1; 2; . . . ; p; 10 ; 20 ; . . . ; p0 †  Z n n …1; 2; . . . ; p; p ‡ 1; . . . ; n; 10 ; 20 ; . . . ; p0 ; ˆ p p ‡ 1; . . . ; n† d…p ‡ 1† . . . dn:

where P…R† is the normalized probability distribution function of the nuclear con®guration R. The total X-ray scattering can be derived from the two-particle matrix …1; 2; 10 ; 20 † through use of the two-particle scattering operator. The total X-ray scattering includes the inelastic incoherent Compton scattering, which is related to the momentum density …p†. The wavefunction in momentum space, de®ned by the coordinates b Jˆb pj ; sj of the jth particle (here the caret indicates momentum-space coordinates), is given by the Dirac±Fourier transform of ; R b…b …1; 2; . . . ; n† 1; b 2; . . . ; b n† ˆ …2h† 3n=2 ! P  exp i=h pj
rj dr1 dr2 . . . drn ; j

…8:7:2:7† leading, in analogy to (8.7.2.2), to the one-electron density matrix R 1; b 10 † ˆ n …b 1; b 2; . . . ; b n†  …b 1; b 2; . . . ; b n† db 2 . . . db n; 1 …b …8:7:2:8†

…8:7:2:2†

According to a basic postulate of quantum mechanics, physical properties are represented by their expectation values hF i obtained from the corresponding operator equation,





 b F ˆ jFj j ; …8:7:2:3† b is a (Hermitian) operator. As almost all operators of where F interest are one- or two-particle operators, the one- and twoparticle matrices 1 …1 ; 10 † and 2 …1; 2 ; 10 ; 20 † are of prime interest. The charge density, or one-electron density, can be obtained from 1 …1; 10 † by setting 10 ˆ 1 and integrating over the spin coordinates, i.e.

and the momentum density …p† ˆ

714 s:\ITFC\ch-8-7.3d (Tables of Crystallography)

1; b 1† ds1 : 1 …b

…8:7:2:9†

The spin density distribution of the electrons, s…r†; can be obtained from 1 …1; 10 † by use of the operator for the z component of the spin angular momentum. If R …8:7:2:10† s…r; r0 † ˆ …2M† 1 sz …1† …1; 10 † ds1 ; s…r† ˆ s…r; r†; where M, the total magnetization, is the eigenvalue of the operator P Sz ˆ sz …i†:

713 Copyright © 2006 International Union of Crystallography

R

i

8. REFINEMENT OF STRUCTURAL PARAMETERS 8.7.3. Charge densities

Table 8.7.3.1. De®nition of difference density functions

8.7.3.1. Introduction The charge density is related to the elastic X-ray scattering amplitude F…S† by the expression

 R …r† ˆ F…S† exp… 2iS
r† dS; …8:7:3:1†

2
 ˆ V

As F…h† is in general complex, the Fourier transform (8.7.3.1) requires calculation of the phases from a model for the charge distribution. In the centrosymmetric case, the free-atom model is in general adequate for calculation of the signs of F…h†. However, for non-centrosymmetric structures in which phases are continuously variable, it is necessary to incorporate deviations from the free-atom density in the model to obtain estimates of the experimental phases. Since the total density is dominated by the core distribution, differences between the total density …r† and reference densities are important. The reference densities represent hypothetical states without chemical bonding or with only partial chemical bonding. Deviations from spherical, free-atom symmetry are obtained when the reference state is the promolecule, the superposition of free-space spherical atoms centred at the nuclear positions. This difference function is referred to as the deformation density (or standard deformation density) p …r†;

where Fobs and Fcalc are in general complex. Several other different density functions analogous to (8.7.3.3), summarized in Table 8.7.3.1, may be de®ned. Particularly useful for the analysis of effects of chemical bonding is the fragment deformation density, in which a chemical fragment is subtracted from the total density of a molecule. The fragment density is calculated theoretically and thermally smeared before subtraction from an experimental density. `Prepared' atoms rather than spherical atoms may be used as a reference state to emphasize the electron-density shift due to covalent bond formation. 8.7.3.2. Modelling of the charge density The electron density …r† in the structure-factor expression R …r† exp…2ih
r† dr …8:7:3:4a† Fcalc …h† can be approximated by a sum of non-normalized density functions gi …r† with scattering factor fi …h† centred at ri ; P …r† ˆ gi …r†  …r ri †: …8:7:3:5† i

…8:7:3:4b†

When gi …r† is the spherically averaged, free-atom density, (8.7.3.4b) represents the free-atom model. A distinction is often made between atom-centred models, in which all functions g…r†

A2 † cos 2h
r ‡

0

) …B1

B2 † sin 2h
r

…a† Residual map

A1 , B1 from observations calculated with model phases. A2 , B2 from re®nement model.

…b† X

A1 , B1 from observation, with model phases. A2 , B2 from high-order re®nement, free-atom model, or other reference state.

X deformation map

…c† X N deformation map [as …b† but]

A2 , B2 calculated with neutron parameters.

…d† X …X ‡ N† deformation map [as …b† but]

A2 , B2 calculated with parameters from joint re®nement of X-ray neutron data.

…e† X X; X N; X …X ‡ N† valence map

As …b†, …c†, …d† with A1 , B1 calculated with core-electron contribution only.

… f † Dynamic model map

A1 , B1 from model. A2 , B2 with parameters from model re®nement and free-atom functions.

…g† Static model map

model free atom , where model is sum of static model density functions.

atom …r† ˆ Pcore core …r† ‡ 3 Pvalence valence …r†:

…8:7:3:6†

This `kappa model' allows for charge transfer between atomic valence shells through the population parameter Pvalence , and for a change in nuclear screening with electron population, through the parameter , which represents an expansion … < 1†, or a contraction … > 1† of the radial density distribution. The atom-centred, spherical harmonic expansion of the electronic part of the charge distribution is de®ned by atom …r† ˆ Pc core …r† ‡ Pv 3 valence …r† ‡

l…max† P lˆ0

0 3 Rl …0 r†

l P P mˆ0

p

Plmp dlmp …; '†;

…8:7:3:7†

where p ˆ  when m is larger than 0, and Rl …0 r† is a radial function. The real spherical harmonic functions d lmp and their Fourier transforms have been described in International Tables for Crystallography, Volume B, Chapter 1.2 (Coppens, 1992). They differ from Rthe functions ylmp by the normalization condition, de®ned as jdlmp j d ˆ 2 l0 . The real spherical harmonic functions are often referred to as multipoles, since each

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…A1

1=2 X

are centred at the nuclear positions, and models in which additional functions are centred at other locations, such as in bonds or lone-pair regions. A simple, atom-centred model with spherical functions g…r† is de®ned by

unit cell

i

0

…8:7:3:2†

where p …r† is the promolecule density. In analogy to (8.7.3.1), the deformation density may be obtained from 

 1 X Fobs …h† Fcalc;free atom …h† exp… 2ih
r†;
…r† ˆ V …8:7:3:3†

Substitution in (8.7.3.4a) gives P fi …h† exp…2ih
ri †: F …h† ˆ

1=2 X

with F ˆ A ‡ iB.

or, for scattering by a periodic lattice,

 1X F…h† exp… 2ih
r†: …r† ˆ V h


…r† ˆ …r†

(

8.7. ANALYSIS OF CHARGE AND SPIN DENSITIES represents the component of the charge distribution …r† that gives a non-zero contribution to the integral for the electrostatic multipole moment qlmp ; R atom …r†r l clmp dr; …8:7:3:8† qlmp ˆ where the functions clmp are the Cartesian representations of the real spherical harmonics (Coppens, 1992). More general models include non-atom centred functions. If the wavefunction in (8.7.2.4) is an antisymmetrized product of molecular orbitals i , expressed P in terms of a linear combination of atomic orbitals  ; i ˆ  ci  (LCAO formalism), the integration (8.7.2.4) leads to PP …r† ˆ P  …r R † …r R †; …8:7:3:9† 



with RP  and R de®ning the centres of  and  , respectively, P ˆ i ni ci ci , and the sum is over all molecular orbitals with occupancy ni . Expression (8.7.3.9) contains products of atomic orbitals, which may have signi®cant values for orbitals centred on adjacent atoms. In the `charge-cloud' model (Hellner, 1977), these products are approximated by bond-centred, Gaussianshaped density functions. Such functions can often be projected ef®ciently into the one-centre terms of the spherical harmonic multipole model, so that large correlations occur if both spherical harmonics and bond-centred functions are adjusted independently in a least-squares re®nement. According to (8.7.2.4) and (8.7.3.9), the population of the two-centre terms is related to the one-centre occupancies. A molecular-orbital based model, which implicitly incorporates such relations, has been used to describe local bonding between transition-metal and ligand atoms (Becker & Coppens, 1985). 8.7.3.3. Physical constraints There are several physical constraints that an electron-density model must satisfy. With the exception of the electroneutrality constraint, they depend strongly on the electron density close to the nucleus, which is poorly determined by the diffraction experiment. 8.7.3.3.1. Electroneutrality constraint Since a crystal is neutral, the total electron population must equal the sum of the nuclear charges of the constituent atoms. A constraint procedure for linear least squares that does not increase the size of the least-squares matrix has been described by Hamilton (1964). If the starting point is a neutral crystal, the constraint equation becomes P …8:7:3:10†
Pi Si ˆ 0; R where Si ˆ g…r† dr, g being a general density function, and the
Pi are the shifts in the population parameters. For the multipole model, only the monopolar functions integrate to a non-zero value. For normalized monopole functions, this gives P
Pi ˆ 0: …8:7:3:11† monopoles

If the shifts without constraints are given by the vector y and the constrained shifts by yc , the Hamilton constraint is expressed as yTc ˆ yT

Expression (8.7.3.12) cannot be applied if the unconstrained re®nement corresponds to a singular matrix. This would be the case if all population parameters, including those of the core functions, were to be re®ned together with the scale factor. In this case, a new set of independent parameters must be de®ned, as described in Chapter 8.1 on least-squares re®nements. Alternatively, one may set the scale factor to one and rescale the population parameters to neutrality after completion of the re®nement. This will in general give a non-integral electron population for the core functions. The proper interpretation of such a result is that a core-like function is an appropriate component of the density basis set representing the valence electrons.

yT QT …QA 1 QT † 1 QA 1 ;

…8:7:3:12†

where the superscript T indicates transposition, A is the leastsquares matrix of the products of derivatives, and Q is a row vector of the values of Si for elements representing density functions and zeros otherwise.

8.7.3.3.2. Cusp constraint The electron density at a nucleus i with nuclear charge Zi must satisfy the electron±nuclear cusp condition given by   @ ‡ 2Zi 0i …ri † ˆ 0; …8:7:3:13† lim ri !0 @ri R where 0i …ri † ˆ …1=4† …r† d i is the spherical component of the expansion of the density around nucleus i. Only 1s-type functions have non-zero electron density at the nucleus and contribute to (8.7.3.13). For the hydrogen-like atom or ion described by a single exponent radial function R…r† ˆ N exp… r†, (8.7.3.13) gives  ˆ 2Z=a0 , where Z is the nuclear charge, and a0 is the Bohr unit. Thus, a modi®cation of  for 1s functions, as implied by (8.7.3.6) and (8.7.3.7) if applied to H atoms, leads to a violation of the cusp constraint. In practice, the electron density at the nucleus is not determined by a limited resolution diffraction experiment; the single exponent function R…r† is ®tted to the electron density away from, rather than at the nucleus. 8.7.3.3.3. Radial constraint Poisson's electrostatic equation gives a relation between the gradient of the electric ®eld r2 …r† and the electron density at r: r 2 …r† ˆ

…8:7:3:14†

As noted by Stewart (1977), this equation imposes a constraint on the radial functions R…r†. For Rl …r† ˆ Nl r n…l† exp… l r†, the condition n…l†  l must be obeyed for Rl r l to be ®nite at r ˆ 0, which satis®es the requirement of the non-divergence of the electric ®eld rV , its gradient r2 V , the gradient of the ®eld gradient r3 V ; etc. 8.7.3.3.4. Hellmann±Feynman constraint According to the electrostatic Hellmann±Feynman theorem, which follows from the Born±Oppenheimer approximation and the condition that the forces on the nuclei must vanish when the nuclear con®guration is in equilibrium, the nuclear repulsions are balanced by the electron±nucleus attractions (Levine, 1983). The balance of forces is often achieved by a very sharp polarization of the electron density very close to the nuclei (Hirshfeld & Rzotkiewicz, 1974), which may be represented in the X-ray model by the introduction of dipolar functions with large values of . The Hellmann±Feynman constraint offers the possibility for obtaining information on such functions even though they may contribute only marginally to the observed X-ray scattering (Hirshfeld, 1984). As the Hellmann±Feynman constraint applies to the static density, its application presumes a proper deconvolution of the thermal motion and the electron density in the scattering model.

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4…r†:

8. REFINEMENT OF STRUCTURAL PARAMETERS 8.7.3.4. Electrostatic moments and the potential due to a charge distribution 8.7.3.4.1. Moments of a charge distribution* Use of the expectation value expression R b …r† dr; hOi ˆ O …8:7:3:15† b ˆ br r r . . . r ˆ r r r . . . r gives with the operator O 1 2 3 l 1 2 3 l for the electrostatic moments of a charge distribution …r† R …8:7:3:16† 1 2 3 ...l ˆ …r†r1 r2 r3 . . . rl dr; in which the r are the three components of the vector r (i ˆ 1; 2; 3), and the integral is over the complete volume of the distribution. For l ˆ 0, (8.7.3.16) represents the integral over the charge distribution, which is the total charge, a scalar function described as the monopole. The higher moments are, in ascending order of l, the dipole, a vector, the quadrupole, a second-rank tensor, and the octupole, a third-rank tensor. Successively higher moments are named the hexadecapole …l ˆ 4†, the tricontadipole …l ˆ 5†, and the hexacontatetrapole …l ˆ 6†. An alternative, traceless, de®nition is often used for moments with l  2. In the traceless de®nition, the quadrupole moment,  , is given by   R …8:7:3:17†  ˆ 12 …r† 3r r r 2  dr; R where  is the Kronecker delta function. The term …r†r 2 dr, which is subtracted from the diagonal elements of the tensor, corresponds to the spherically averaged second moment of the distribution. Expression (8.7.3.17) is a special case of the following general expression for the lth-rank traceless tensor elements.   Z … 1† l @l 1 …l † 2l‡1 …r†r dr: M 1 2 ...l ˆ l! @r1 @r2 . . . @rl r

lmp ˆ

and xy ˆ 32 xy :

…8:7:3:19†

Expressions for the other elements are obtained by simple permutation of the indices. For a site of point symmetry 1, the electrostatic moment 1 2 3 ...l of order l has …l ‡ 1†…l ‡ 2†=2 unique elements. In the traceless de®nition, not all elements are independent. Because the trace of the tensor has been set to zero, only 2l ‡ 1 independent components remain. For the quadrupole there are 5 independent components of the form (8.7.3.19). In a different form, the traceless moment operators can be written as the Cartesian spherical harmonics clmp (IT B, 1992) multiplied by r l , which de®nes the spherical electrostatic moments * An excellent review of experimental results has appeared in the literature (Spackman, 1992).

…8:7:3:20†

zz ˆ …1=2†20 ;   xx ˆ …1=2† 322‡ …1=2†20 ;   yy ˆ …1=2† 322‡ …1=2†20 ; xz ˆ …3=2†21‡ ; yz ˆ …3=2†21 ; xy ˆ …3=2†22 :

…8:7:3:21†

8.7.3.4.1.1. Moments as a function of the atomic multipole expansion In the multipole model [expression (8.7.3.7)], the charge density is a sum of atom-centred density functions, and the moments of a whole distribution can be written as a sum over the atomic moments plus a contribution due to the shift to a common origin. An atomic moment is obtained by integration over the charge distributions total;i …r† ˆ nuclear;i e;i of atom i, R …8:7:3:22† 1 2 3 ...l ˆ total;i …r†r1 r2 r3 . . . rl dr; where the electronic part of the atomic charge distribution is de®ned by the multipole expansion e;i …r† ˆ Pi;c core …r † ‡ P i;v 3i i;valence …i r † ‡

lP max lˆ0

0 03 i Ri;l i r

l P
P mˆ0

p

P i;lmp dlmp …; '†;

…8:7:3:23†

where p ˆ  when m > 0, and Rl …0i r† is a radial function. We get for the jth moment of the valence density j ˆ 1 2 3 ...j Z  lP max
0 ˆ P i;v 3i i;valence …i r† ‡ 03 i Ri;l i r lˆ0 # l PP Pi;lmp d lmp …; '† r1 r2 . . . rj dr;  mˆ0 p

…8:7:3:24†

in which the minus sign arises because of the negative charge of the electrons. b for the moment operators. We get We will use the symbol O " # Z lmax X l P P j 03 b Plmp dlmp Rl dr; …8:7:3:25† Oj  ˆ i lˆ1

mˆ0 p

where, as before, p ˆ : The requirement that the integrand be totally symmetric means that only the dipolar terms in the multipole expansion contribute to the dipole moment. If we use the traceless de®nition of the higher moments, or the equivalent de®nition of the moments in terms of the spherical harmonic functions, only the quadupolar terms of the multipole expansion will contribute to the quadrupole moment; more generally, in the traceless de®nition the lth-order multipoles are the sole contributors to the lth moments. In terms of the spherical moments, we get

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…r†clmp r l dr:

The expressions for clmp are listed in Volume B of International Tables for Crystallography (IT B, 1992); for the l ˆ 2 moment, the clmp have the well known form 3z2 1, xz, yz, …x2 y2 †=2, and xy, where x, y and z are the components of a unit vector from the origin to the point being described. The spherical electrostatic moments have …2l ‡ 1† components, which equals the number of independent components in the traceless de®nition (8.7.3.18), as it should. The linear relationships are

…8:7:3:18† Though the traceless moments can be derived from the unabridged moments, the converse is not the case because the information on the spherically averaged moments is no longer present in the traceless moments. The general relations between the traceless moments and the unabridged moments follow from (8.7.3.18). For the quadrupole moments, we obtain with (8.7.3.17)
xx ˆ 32 xx 12 xx ‡ yy ‡ zz
ˆ xx 12 yy ‡ zz ;

R

8.7. ANALYSIS OF CHARGE AND SPIN DENSITIES R RP  b lmp dlmp Rl dr: promolecule x2 dr ˆ spherical atom;i x2 dr …8:7:3:26† lmp ˆ Plmp O i PR Substitution with Rl ˆ f…0 †n…l†‡3 =‰n…l† ‡ 2Š!gr n…l† exp… r† and ˆ …8:7:3:35† spherical atom;i x2 dr: l b Olmp ˆ clmp r and subsequent integration over r gives i Z 1 ‰n…l† ‡ l ‡ 2Š! 1 If Ri ˆ …Xi ; Yi ; Zi † is the position vector for atom i, each singlelmp ˆ Plmp y2lmp sin  d d'; atom contribution can be rewritten as …0 †l ‰n…l† ‡ 2Š! Dlm M lm R i;xx;spherical atom ˆ i;spherical atom x2 dr …8:7:3:27† R where the de®nitions ˆ i;spherical atom … x Xi †2 dr R     Llm 1 ‡ Xi i;spherical atom 2… x Xi † dr dlmp ˆ Llm clmp ˆ and clmp ˆ y y R M lm lmp M lm lmp ‡ Xi2 i;spherical atom dr: …8:7:3:36† …8:7:3:28† Since the last two integrals are proportional to the atomic dipole have been used (IT B, 1992). Since the ylmp functions are moment and its net charge, respectively, they will be zero for wavefunction normalized, we obtain neutral spherical in (8.7.3.35) gives, with

 1 2atoms. 

Substitution  R 2 2 2 ˆ ; and r ˆ  r … r †r dr; … x X † i i i i 3 1 ‰n…l† ‡ l ‡ 2Š! Llm

 R P : …8:7:3:29† lmp ˆ Plmp 2 1 2 2 l r spherical atom ; …8:7:3:37† promolecule x dr ˆ 3 …0 † ‰n…l† ‡ 2Š! …M lm † R



Application to dipolar terms with n…l† ˆ 2, Llm ˆ 1= and M lm ˆ …3=4†1=2 gives the x component of the atomic dipole moment as Z 20 P : P11‡ d 11‡ R1 x dr ˆ …8:7:3:30† x ˆ 30  11‡ For the atomic quadrupole moments in the spherical de®nition, we obtain directly, using n…l† ˆ 2, l ˆ 2 in (8.7.3.29), p 30 L20 36 3 P 20 ˆ P20 ; …8:7:3:31† 20 ˆ …0 †2 …M 20 †2 …0 †2 and, for the other elements, 2mp ˆ

30 L2m P 2mp ˆ 2 0 … † …M 2m †2

6 P 2mp : …0 †2

…8:7:3:32†

As the traceless quadrupole moments are linear combinations of the spherical quadrupole moments, the corresponding expressions follow directly from (8.7.3.31), (8.7.3.32) and (8.7.3.21). We obtain with n…2† ˆ 2 p 18 3 P 20 ; zz ˆ … 0  † 2  9 p 3 P ‡ P yy ˆ ‡ ; 20 22‡ … 0  † 2  9 p 3P20 P22‡ ; xx ˆ 2 … 0  † and xz ˆ

9 P 21‡ ; …0 †2

…8:7:3:33†

and analogously for the other off-diagonal elements. 8.7.3.4.1.2. Molecular moments based on the deformation density The moments derived from the total density …r† and from the deformation density
…r† are not identical. To illustrate the relation for the diagonal elements of the second-moment tensor, we rewrite the xx element as
R xx total ˆ x2 dr R R ˆ promolecule x2 dr ‡
x2 dr: …8:7:3:34† The promolecule is the sum over spherical atom densities, or

atoms

and, by substitution in (8.7.3.34),
P 2 r spherical atom ; xx tot ˆ xx …
† ‡ 13 atoms

with xx …
† ˆ

i



i x2 dr ‡ 2Xi i ‡ Xi2 qi ;

…8:7:3:38b†

in which i and qi are the atomic dipole moment and the charge on atom i, respectively. The last term in (8.7.3.38a) can be derived rapidly from analytical expressions for the atomic wavefunctions. Results for Hartree±Fock wavefunctions have been tabulated by Boyd (1977). Since the off-diagonal elements of the second-moment tensor vanish for the spherical atom, the second term in (8.7.3.38a) disappears, and the off-diagonal elements are identical for the total and deformation densities. The relation between the second moments  and the traceless moments  of the deformation density can be illustrated as follows. From (8.7.3.17), we may write R …8:7:3:39†  …
† ˆ 32  …
† 12 
 r 2 dr: Only the spherical density terms contribute to the integral on the right. Assuming for the moment that the spherical deformation is represented by the valence-shell distortion …i:e. neglect of the second monopole in the aspherical atom expansion), we have, with density functions  normalized to 1, for each atom …
†spherical ˆ 3 Pvalence valence …r †

P0valence valence …r † …8:7:3:40†

and R P 3 R i P valence;i valence;i …i r †
 r 2 dr ˆ i  P0valence;i valence;i …r † r 2 dr
 P P valence;i =2i P0valence ri2 spherical valence shell ˆ i
…8:7:3:41† ‡ R2i Pvalence;i P 0valence;i ; which, on substitution in (8.7.3.39), gives the required relation. 8.7.3.4.1.3. The effect of an origin shift on the outer moments In general, the multipole moments depend on the choice of origin. This can be seen as follows. Substitution of r0 ˆ r R in (8.7.3.16) corresponds to a shift of origin by R , or X, Y, Z in the original coordinate system. In three dimensions, we get, for the ®rst moment, the charge q,

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P R

…8:7:3:38a†

8. REFINEMENT OF STRUCTURAL PARAMETERS Z X 1 q ˆ q; …8:7:3:42† l …VT † ˆ F …h† exp… 2ih
r† dr

bl V and for the transformed ®rst and second moments VT Z 1X 0x ˆ x qX; 0y ˆ y qY; 0z ˆ z qZ; F …h† ˆ …8:7:3:48†

bl exp… 2ih
r† dr; V 2 0 VT  ˆ  2 R ‡ qR ; 0  ˆ   R  R ‡ qR R : …8:7:3:43† where bl is the product of l coordinates according to (8.7.3.16), and l represents the moment of the static distribution if the F…h† For the traceless quadrupole moments, the corresponding are the structure factors on an absolute scale after deconvolution equations are obtained by substitution of r0 ˆ r R and of thermal motion. Otherwise, the moment of the thermally r0 ˆ r R into (8.7.3.17), which gives averaged densityR is obtained.
The integral VT bl exp… 2ih
r† dr is de®ned as the shape 0 ˆ  ‡ 12 3R R R2  q transform S of the volume VT :
P
3 ‡  R  ‡ R  R  : …8:7:3:44†  

 2 1X

F …h†SVT … bl ; h†: l …VT † ˆ V Similar expressions for the higher moments are reported in the For regularly shaped volumes, the integral can be evaluated literature (Buckingham, 1970). analytically. A volume of complex shape may be subdivided into We note that the ®rst non-vanishing moment is origin- integrable subvolumes such as parallelepipeds. By choosing the independent. Thus, the dipole moment of a neutral molecule, subvolumes suf®ciently small, a desired boundary surface can be but not that of an ion, is independent of origin; the quadrupole closely approximated. moment of a molecule without charge and dipole moment is not If the origin of each subvolume is located at ri , relative to a dependent on the choice of origin and so on. The molecular coordinate system origin at P, the total electronic moment electric moments are commonly reported with respect to the relative to this origin is given by centre of mass. ! X X 1X l  VT ;i ˆ F …h†SVT … bl ; h† exp… 2ih
ri †: 8.7.3.4.1.4. Total moments as a sum over the pseudoatom V h i i moments The moments of a molecule or of a molecular fragment are …8:7:3:49† obtained from the sum over the atomic moments, plus a Expressions for SVT for l  2 and a subvolume parallelepipecontribution due to the shift to a common origin for all but the dal shape are given in Table 8.7.3.2. Since the spherical order monopoles. If individual atomic coordinate systems are used, as Bessel functions jn …x† that appear in the expressions generally is common if chemical constraints are applied in the leastdecrease with increasing x, the moments are strongly dependent squares re®nement, they must be rotated to have a common on the low-order re¯ections in a data set. An example is the orientation. Expressions for coordinate system rotations have moment. Relative to an origin O, been given by Cromer, Larson & Stewart (1976) and by Su & shape transform for the dipole R Coppens (1994a). S … b1 ; h† ˆ r0 exp… 2ih
r0 † dr: The transformation to a common coordinate origin requires Vt use of the origin-shift expressions (8.7.3.42)±(8.7.3.44), with, for an atom at ri , R ˆ ri . The ®rst three moments summed A shift of origin by ri leads to   Z over the atoms i located at ri become 1X 10 b F … h † S  … V † ˆ … ; h † ‡ r … † dr

exp 2ih
r T VT 1 1 0 P V qtotal ˆ qi ; …8:7:3:45† P P  exp… 2ih
r1 † i ‡ r i q i ; …8:7:3:46† total ˆ i ˆ 1 …VT † ‡ r1 q; 0

and  ;total ˆ

P i

0 0 0 0  i ‡ r i  ‡ ri  ‡ ri r i qi




in agreement with (8.7.3.46). …8:7:3:47†

with ; ˆ x; y; z; and expressions equivalent to (8.7.3.44) for the traceless components  . 8.7.3.4.1.5. Electrostatic moments of a subvolume of space by Fourier summation Expression (8.7.3.16) for the outer moment of a distribution within a volume element VT may be written as R

1 2 3 ...l dr; …8:7:3:16† 1 2 ...l ˆ …r†b VT

with b1 2 3 ...l ˆ r1 r2 r3 . . . rl , and integration over the volume VT . Replacement of …r† by the Fourier summation over the structure factors gives

8.7.3.4.2. The electrostatic potential 8.7.3.4.2.1. The electrostatic potential and its derivatives The electrostatic potential …r0 † due to the electronic charge distribution is given by the Coulomb equation, Z …r† dr; …8:7:3:50† …r0 † ˆ k jr r0 j where the constant k is dependent on the units selected, and will here be taken equal to 1. For an assembly of positive point nuclei and a continuous distribution of negative electronic charge, we obtain Z X ZM …r† dr; …8:7:3:51† …r0 † ˆ RM r0 jr r0 j M

in which ZM is the charge of nucleus M located at RM .

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8.7. ANALYSIS OF CHARGE AND SPIN DENSITIES The electric ®eld E at a point in space is the gradient of the electrostatic potential at that point. E…r† ˆ

r…r† ˆ

i

@…r† @x

j

@…r† @y

k

@…r† : @z

…8:7:3:52†

As E is the negative gradient vector of the potential, the electric force is directed `downhill' and proportional to the slope of the potential function. The explicit expression for E is obtained by differentiation of the operator jr r0 j 1 in (8.7.3.50) towards x, y, z and subsequent addition of the vector components. For the negative slope of the potential in the x direction, one obtains Z Z total …r† …r0 r†x total …r† 0 0 E x …r † ˆ …r r†x dr; dr ˆ 2 0 0 jr rj jr rj jr0 rj3 …8:7:3:53† which gives, after addition of the components, Z t …r†…r0 r† 0 0 dr: E…r † ˆ r…r † ˆ jr r0 j3

Table 8.7.3.2. Expressions for the shape factors S for a parallelepiped with edges x , y , and z ( from Moss & Coppens, 1981) j0 and j1 are the zero- and ®rst-order spherical Bessel functions: j0 …x† ˆ sin x=x, j1 …x† ˆ sin x=x2 cos x=x; VT is volume of integration. y^

S‰ y^ …r†; hŠ

Property

1

Charge

r

Dipole 

VT j0 …2hx x † j0 …2hy y † j0 …2hz z † iVT  j1 …2h  †  j0 …2h  † j0 …2hy y †

r r

r r

…8:7:3:54†

Second moment  off-diagonal

VT   j1 …2h  †

Second moment  diagonal

VT 2

 j1 …2h  † j0 …2h  † 

The electric ®eld gradient (EFG) is the tensor product of the gradient operator r ˆ i @x@ ‡ j @y@ ‡ k @z@ and the electric ®eld vector E; rE ˆ r : E ˆ

r : r:

…8:7:3:55†

It follows that in a Cartesian system the EFG tensor is a symmetric tensor with elements rE ˆ

@2  : @r @r

…8:7:3:56†

The EFG tensor elements can be obtained by differentiation of the operator in (8.7.3.53) for E to each of the three directions . In this way, the traceless result rE …r0 † ˆ ˆ

@E

r 0 † n 1 3…r r0 † r jr r0 j5 o r r0 2  total …r† dr

@…r Z

r 0


…8:7:3:57†

is obtained. We note that according to (8.7.3.57) the electric ®eld gradient can equally well be interpreted as the tensor of the traceless quadrupole moments of the distribution 2total …r†=jr r0 j5 [see equation (8.7.3.17)]. De®nition (8.7.3.56) and result (8.7.3.57) differ in that (8.7.3.56) does not correspond to a zero-trace tensor. The situation is analogous to the two de®nitions of the second moments, discussed above, and is illustrated as follows. The trace of the tensor de®ned by (8.7.3.56) is given by  2  @  @2  @2  ‡ ‡ : …8:7:3:58† r2  ˆ r
r ˆ @x2 @y2 @z2 Poisson's equation relates the divergence of the gradient of the potential …r† to the electron density at that point:   …8:7:3:59† r2 …r† ˆ 4 e …r† ˆ 4e …r†: Thus, the EFG as de®ned by (8.7.3.56) is not traceless, unless the electron density at r is zero. The potential and its derivatives are sometimes referred to as inner moments of the charge distribution, since the operators in (8.7.3.50), (8.7.3.52) and (8.7.3.54) contain the negative power of the position vector. In the same terminology, the electrostatic moments discussed in x8:7:3:4:1 are described as the outer moments.

 j0 …2h  †

 j0 …2h  † j0 …2h  †

It is of interest to evaluate the electric ®eld gradient at the atomic nuclei, which for several types of nuclei can be measured accurately by nuclear quadrupole resonance and MoÈssbauer spectroscopy. The contribution of the atomic valence shell centred on the nucleus can be obtained by substitution of the multipolar expansion (8.7.3.7) in (8.7.3.57). The quadrupolar …l ˆ 2† terms in the expansion contribute to the integral. For the radial function Rl ˆ fn…l†‡3 =‰n…l† ‡ 2Š!gr n…l† exp… r† with n…l† ˆ 2, the following expressions are obtained:  p  3P20 Qr ; rE11 ˆ ‡…3=5† P22‡  p  rE22 ˆ …3=5† P22‡ ‡ 3P20 Qr ; p  rE33 ˆ ‡…6=5† 3P20 Qr ; …8:7:3:60† rE12 ˆ ‡…3=5†…P22 †Qr ;
rE13 ˆ ‡…3=5† P21‡ Qr ; rE23 ˆ ‡…3=5†…P21 †Qr ; with

 Qr ˆ r 3 3 d R1 ˆ ‰R…r †=r Š dr 0

3

ˆ …0 † =‰n2 …n2 ‡ 1†…n2 ‡ 2†Š 3

ˆ …0 † =120; in the case that n2 ˆ 4 (Stevens, DeLucia & Coppens, 1980). The contributions of neighbouring atoms can be subdivided into point-charge, point-multipole, and penetration terms, as discussed by Epstein & Swanton (1982) and Su & Coppens (1992, 1994b), where appropriate expressions are given. Such contributions are in particular important when short interatomic distances are involved. For transition-metal atoms in coordination complexes, the contribution of neighbouring atoms is typically much smaller than the valence contribution.

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j1 …2h  † h 

8. REFINEMENT OF STRUCTURAL PARAMETERS 8.7.3.4.2.2. Electrostatic potential outside a charge distribution Hirshfelder, Curtiss & Bird (1954) and Buckingham (1959) have given an expression for the potential at a point ri outside a charge distribution: …ri † ˆ

  q  r  1  ‡ 3 ‡ 2 3r r r 2  5 ri ri ri 
  ‡ 5r r r r 2 r  ‡ r   ‡ r  ‡ ...; 5ri7 …8:7:3:61†

where summation over repeated indices is implied. The outer moments q,  ,  and  in (8.7.3.61) must include the nuclear contributions, but, for a point outside the distribution, the spherical neutral-atom densities and the nuclear contributions cancel, so that the potential outside the charge distribution can be calculated from the deformation density. The summation in (8.7.3.61) is slowly converging if the charge distribution is represented by a single set of moments. When dealing with experimental charge densities, a multicentre expansion is available from the analysis, and (8.7.3.61) can be replaced by a summation over the distributed moments centred at the nuclear positions, in which case ri measures the distance from a centre of the expansion to the ®eld point. The result is equivalent to more general expressions given by Su & Coppens (1992), which, for very large values of ri , reduce to the sum over atomic terms, each expressed as (8.7.3.61). The interaction between two charge distributions, A and B; is given by R EAB ˆ A …r†B …r† dr; where B includes the nuclear charge distribution.

rE …Rp † ˆ

M6ˆP

‡

2

 jRMP j †

M

jrp j5

 jrp j2 †

Expression (8.7.3.49) is an example of derivation of electrostatic properties by direct Fourier summations of the structure factors. The electrostatic potential and its derivatives may be obtained in an analogous manner. In order to obtain the electrostatic properties of the total charge distribution, it is convenient to de®ne the `total' structure factor Ftotal …h† including the nuclear contribution, P

drM ; …8:7:3:64†

in which the exclusion of M ˆ P only applies when the point P coincides with a nucleus, and therefore only occurs for the central contributions. ZM and RM are the nuclear charge and the position vector of atom M, respectively,

F …h†;

where FN …h† ˆ j Zj exp…2ih
Rj †, the summation being over all atoms j with nuclear charge Zj , located at Rj . If …h† is de®ned as the Fourier transform of the direct-space potential, we have R …r† ˆ …h† exp… 2ih
r† dh r2 …r† ˆ

R 42 h2 …h† exp… 2ih
r† dh;

which equals 4total according to the Poisson equation (8.7.3.59). One obtains with R total …r† ˆ Ftotal …h† exp… 2ih
r† dh; …h† ˆ ‡ Ftotal …h†=h2 ;

…8:7:3:65†

and, by inverse Fourier transformation of (8.7.3.65), 1 X Ftotal …h†=h2 exp… 2ih
r† …8:7:3:66† …r† ˆ V (Bertaut, 1978; Stewart, 1979). Furthermore, the electric ®eld due to the electrons is given by R E…r† ˆ rr …r† ˆ r …h† exp… 2ih
r† dh R ˆ 2i h…h† exp… 2ih
r† dh: Thus, with (8.7.3.65),  2i X Ftotal …h†=h2 h exp… 2ih
r†; E…r† ˆ V

E…h† ˆ

…8:7:3:67a†

2i hF …h†: h2 total

Similarly, the h Fourier component of the electric ®eld gradient tensor with trace 4…r† is

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Ftotal …h† ˆ FN …h†

which implies

jRMP j5

X Z e;M …rM †…3r r

8.7.3.4.3. Electrostatic functions of crystals by modi®ed Fourier summation

and

8.7.3.4.2.3. Evaluation of the electrostatic functions in direct space The electrostatic properties of a well de®ned group of atoms can be derived directly from the multipole population coef®cients. This method allows the `lifting' of a molecule out of the crystal, and therefore the examination of the electrostatic quantities at the periphery of the molecule, the region of interest for intermolecular interactions. The dif®culty related to the origin term, encountered in the reciprocal-space methods, is absent in the direct-space analysis. In order to express the functions as a sum over atomic contributions, we rewrite (8.7.3.51), (8.7.3.54) and (8.7.3.57) for the electrostatic properties at point P as a sum over atomic contributions. X Z e;M …rM †
X ZM drM ; …8:7:3:62†  Rp ˆ jRMP j jrp j M6ˆP M XZ R X Z rp e;M …rM † MP MP ‡ drM ; …8:7:3:63† E…Rp † ˆ 3 jrp j3 M6ˆP jRMP j M X ZM …3R R

while rP and rM are, respectively, the vectors from P and from the nucleus M to a point r, such that rP ˆ r RP , and rM ˆ r RM ˆ rP ‡ RP RM ˆ rP RMP . The subscript M in the second, electronic part of the expressions refers to density functions centred on atom M. Expressions for the evaluation of (8.7.3.62)±(8.7.3.64) from the charge-density parameters of the multipole expansion have been given by Su & Coppens (1992). They employ the Fourier convolution theorem, used by Epstein & Swanton (1982) to evaluate the electric ®eld gradient at the atomic nuclei. A directspace method based on the Laplace expansion of 1=jRp rj was reported by Bentley (1981).

‰r : EŠ…h† ˆ ‡42 h : h…h† ˆ ‡4h : hFtotal …h†=h2 ; …8:7:3:67b†

8.7. ANALYSIS OF CHARGE AND SPIN DENSITIES where i : k represents the tensor product of two vectors. This leads to the expression for the electric ®eld gradient in direct space, ‰r : EŠ…r† ˆ

4 X h : hFtotal …h†=h2 exp… 2ih
r†: …8:7:3:68† V

(The elements of h : h are the products hi hj :) The components of E and the elements of the electric ®eld gradient de®ned by (8.7.3.67a) and (8.7.3.68) are with respect to the reciprocal-lattice coordinate system. Proper transforms are required to get the values in other coordinate systems. Furthermore, to get the P traceless rE tensor, the quantity …4=3†e …r† ˆ …4=3V † F …h† exp… 2ih
r† must be subtracted from each of the diagonal elements rEii : The Coulombic self-electronic energy of the crystal can be obtained from Z Z e …r†e …r0 † 1 dr dr0 ; ECoulombic; electronic ˆ 2 jr r0 j R ˆ 12 e …r†…r† dr: R R Since …r†…r† dr ˆ …h†F…h† dh (Parseval's rule), the summation can be performed in reciprocal space, ECoulombic; electronic ˆ

1 X 2 F …h†=h2 ; 2V

…8:7:3:69a†

and, for the total Coulombic energy, ECoulombic; total ˆ

1 X 2 Ftotal …h†=h2 ; 2V

…8:7:3:69b†

where the integral has been replaced by a summation. The summations are rapidly convergent, but suffer from having a singularity at h ˆ 0 (Dahl & Avery, 1984; Becker & Coppens, 1990). The contribution from this term to the potential cannot be ignored if different structures are compared. The term at h ˆ 0 gives a constant contribution to the potential, which, however, has no effect on the energy of a neutral system. For polar crystals, an additional term occurs in (8.7.3.69a; b), which is a function of the dipole moment D of the unit cell (Becker, 1990), ECoulombic; total ˆ

1 X 2 2 2 Ftotal …h†=h2 ‡ D: 2V 3V

…8:7:3:69c†

To obtain the total energy of the static crystal, electron exchange and correlation as well as electron kinetic energy contributions must be added. 8.7.3.4.4. The total energy of a crystal as a function of the electron density

where Zi is the nuclear charge for an atom at position Ri , and Rij ˆ Rj Ri . Because of the theorem of Hohenberg & Kohn (1964), E is a unique functional of the electron density , so that T ‡ Exc must be a functional of . Approximate density functionals are discussed extensively in the literature (Dahl & Avery, 1984) and are at the centre of active research in the study of electronic structure of various materials. Given an approximate functional, one can estimate non-Coulombic contributions to the energy from the charge density …r†. In the simplest example, the functionals are those applicable to an electronic gas with slow spatial variations (the `nearly free electron gas'). In this approximation, the kinetic energy T is given by R …8:7:3:72† T ˆ ck t‰Š d3 r; with ck ˆ …3=10†…22 †2=3 ; and the function t‰Š ˆ 2=3 . The exchange-correlation energy is also a functional of ; R Exc ˆ cx exc ‰Š d3 r; with cx ˆ …3=4†…3=†1=3 and exc ‰Š ˆ 1=3 . Any attempt to minimize the energy with respect to  in this framework leads to very poor results. However, cohesive energies can be described quite well, assuming that the change in electron density due to cohesive forces is slowly varying in space. An example is the system AB, with closed-shell subsystems A and B. Let A and B be the densities for individual A and B subsystems. The interaction energy is written as
E ˆ Ec ‰Š Ec ‰A Š Ec ‰B Š R  ‡ ck dr t‰Š A t‰A Š B t‰B Š R  cx dr exc ‰Š A exc ‰A Š B exc ‰B Š :

This model is known as the Gordon±Kim (1972) model and leads to a qualitatively valid description of potential energy surfaces between closed-shell subsystems. Unlike pure Coulombic models, this density functional model can lead to an equilibrium geometry. It has the advantage of depending only on the charge density . 8.7.3.5. Quantitative comparison with theory Frequently, the purpose of a charge density analysis is comparison with theory at various levels of sophistication. Though the charge density is a detailed function, the features of which can be compared at several points of interest in space, it is by no means the only level at which comparison can be made. The following sequence represents a progression of functions that are increasingly related to the experimental measurement.

One can write the total energy of a system as E ˆ ec ‰Š ‡ T ‡ Exc ;

…8:7:3:70†

where T is the kinetic energy, Exc represents the exchange and electron correlation contributions, and Ec ‰Š, the Coulomb energy, discussed in the previous section, is given by Z Z X Zi Zj X …r†…r0 † dr dr0 ; Ec ˆ 12 Zi …Ri † ‡ 12 0j j R r r ij i6ˆj i …8:7:3:71†

…1; 2; . . . ; n† !

electrostatic properties " 1 …1; 1† ! …r† ! #
…r† !

 …r† ! F …h† ! I …h†


…r† ; …8:7:3:74†

where the angle brackets refer to the thermally averaged functions. The experimental information may be reduced in the opposite sequence:

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…8:7:3:73†

8. REFINEMENT OF STRUCTURAL PARAMETERS Table 8.7.3.3. The matrix M

1

relating d-orbital occupancies Pij to multipole populations Plm ( from Holladay, Leung & Coppens, 1983) Multipole populations

d-orbital populations Pz2 Pxz Pyz Px2 Pxy

y2

P00

P20

P22‡

P40

P42‡

P44‡

0.200 0.200 0.200 0.200 0.200

1.039 0.520 0.520 0.039 1.039

0.00 0.942 0.942 0.00 0.00

1.396 0.931 0.931 0.233 0.233

0.00 1.108 1.108 0.00 0.00

0.00 0.00 0.00 1.571 1.571

Mixing terms

Pz2 =xz Pz2 =yz Pz2 =x2 y2 Pz2 =xy Pxz=yz Pxz=x2 y2 Pxz=xy Pyz=x2 y2 Pyz=xy Px2 y2 =xy

P21

P21

P22‡

P22

P41‡

P41

P42‡

P42

P43‡

P43

P44

1.088 0.00 0.00 0.00 0.00 1.885 0.00 0.00 1.885 0.00

0.00 1.088 0.00 0.00 0.00 0.00 1.885 1.885 0.00 0.00

0.00 0.00 2.177 0.00 0.00 0.00 0.00 0.00 0.00 0.00

0.00 0.00 0.00 2.177 1.885 0.00 0.00 0.00 0.00 0.00

2.751 0.00 0.00 0.00 0.00 0.794 0.00 0.00 0.794 0.00

0.00 2.751 0.00 0.00 0.00 0.00 0.794 0.794 0.00 0.00

0.00 0.00 1.919 0.00 0.00 0.00 0.00 0.00 0.00 0.00

0.00 0.00 0.00 1.919 2.216 0.00 0.00 0.00 0.00 0.00

0.00 0.00 0.00 0.00 0.00 2.094 0.00 0.00 2.094 0.00

0.00 0.0 0.0 0.0 0.0 0.0 2.094 2.094 0.00 0.00

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.142

electrostatic properties " …r† #
…r†



 …r†

# 
…r† :

F …h†

I …h†

…8:7:3:75† The crucial step in each sequence is the thermal averaging (top sequence) or the deconvolution of thermal motion (bottom sequence), which in principle requires detailed knowledge of both the internal (molecular) and the external (lattice) modes of the crystal. Even within the generally accepted Born±Oppenheimer approximation, this is a formidable task, which can be simpli®ed for molecular crystals by the assumption that the thermal smearing is dominated by the larger-amplitude external modes. The procedure (8.7.3.65) requires an adequate thermal-motion model in the structurefactor formalism applied to the experimental structure amplitudes. The commonly used models may include anharmonicity, as described in Volume B, Chapter 1.2 (IT B, 1992), but assume that a density function centred on an atom can be assigned the thermal motion of that atom, which may be a poor approximation for the more diffuse functions. The missing link in scheme (8.7.3.75) is the sequence 1 …1; 1† …r†. In order to describe the wavefunction analytically, a basis set is required. The number of coef®cients in the wavefunction is minimized by the use of a minimal basis for the molecular orbitals, but calculations in general lead to poor-quality electron densities. If the additional approximation is made that the wavefunction is a single Slater determinant, the idempotency condition can be used in the derivation of the wavefunction from the electron density. A simpli®ed two-valence-electron two-orbital system has been treated in this manner (Massa, Goldberg,

Frishberg, Boehme & La Placa, 1985), and further developments may be expected. A special case occurs if the overlap between the orbitals on an atom and its neighbours is very small. In this case, a direct relation can be derived between the populations of a minimal basis set of valence orbitals and the multipole coef®cients, as described in the following sections. 8.7.3.6. Occupancies of transition-metal valence orbitals from multipole coef®cients In general, the atom-centred density model functions describe both the valence and the two-centre overlap density. In the case of transition metals, the latter is often small, so that to a good approximation the atomic density can be expressed in terms of an atomic orbital basis set di , as well as in terms of the multipolar expansion. Thus, d ˆ ˆ

iˆ1 ji 4 P lˆ0

Pij di dj ;

(

03 Rl …0 r †

l P P mˆ0 p

) Plmp dlmp ;

…8:7:3:76†

in which dlmp are the density functions. The orbital products di dj can be expressed as linear combinations of spherical harmonic functions, with coef®cients listed in Volume B, Chapter 1.2 (IT B, 1992), which leads to relations between the Pij and Plmp . In matrix notation, Plmp ˆ MPij ;

…8:7:3:77†

where Plmp is a vector containing the coef®cients of the 15 spherical harmonic functions with l ˆ 0, 2, or 4 that are generated by the products of d orbitals. The matrix M is also a function of the ratio of orbital and density-function normalization coef®cients, given in Volume B, Chapter 1.2 (IT B, 1992).

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5 P 5 P

8.7. ANALYSIS OF CHARGE AND SPIN DENSITIES Table 8.7.3.4. Orbital±multipole relations for square-planar complexes (point group D4h )

P20 P21‡ P21 P22‡ P22

a1g eg b1g b2g

P00

P20

0.200 0.200 0.200 0.200 0.200

1.039 0.520 0.520 1.039 1.039

P40

P44‡

1.396 0.931 0.931 0.233 0.233

0.00 0.00 0.00 1.570 1.570

Table

P2

P40

1.039 0.520 0.520 1.039 1.039 0.00 0.00 0.00 0.00

1.396 0.931 0.931 0.233 0.233 0.00 0.00 0.00 0.00

for

trigonal

P43‡

P43

…a† In terms of d orbitals P20 P21‡ P21 P22‡ P22 P21‡=22‡ P21‡=22 P21 =22‡ P21 =22

…8:7:3:78†

(Holladay, Leung & Coppens, 1983). The matrix M 1 is given in Table 8.7.3.3. Point-groupspeci®c expressions can be derived by omission of symmetryforbidden terms. Matrices for point group 4=mmm (square  32, 3m, 3m)  planar) and for trigonal point groups (3, 3, are listed in Tables 8.7.3.4 and 8.7.3.5, respectively. Point groups with and without vertical mirror planes are distinguished by the occurrence of both dlm‡ and dlm functions in the latter case, and only dlm‡ in the former, with m being restricted to n, the order of the rotation axis. The dln functions can be eliminated by rotation of the coordinate system around a vertical axis through an angle 0 given by 0 ˆ …1=n† arctan…Pln =Pln‡ †. 8.7.3.7. Thermal smearing of theoretical densities 8.7.3.7.1. General considerations In the Born±Oppenheimer approximation, the electrons rearrange instantaneously to the minimum-energy state for each nuclear con®guration. This approximation is generally valid, except when very low lying excited electronic states exist. The thermally smeared electron density is then given by

 R …r† ˆ …r; R†P …R† d…R†;

Orbital±multipole relations complexes P00

The d-orbital occupancies can be derived from the experimental multipole populations by the inverse expression, Pij ˆ M 1 Plmp

8.7.3.5.

…8:7:3:79†

0.200 0.200 0.200 0.200 0.200 0.00 0.00 0.00 0.00

0.00 0.00 0.00 0.00 0.00 2.094 0.00 0.00 2.094

0.00 0.00 0.00 0.00 0.00 0.00 2.094 2.094 0.00

…b† In terms of symmetry-adapted orbitals*y P1 …a1g † P2 …eg † P3 …e0g † P4 …eg‡ eg0 ‡ eg e0g †

0.200 0.400 0.400 0.00

1.039 1.039 0.00 2.942

1.396 0.310 1.087 2.193

0.00 1.975 1.975 1.397

* The electron density in terms of the symmetry-adapted orbitals is given by: 3d ˆ P1 a21g ‡ 12 P2 …e2g‡ e2g † ‡ 12 P4 …eg‡ eg0 ‡ eg eg0 †; p p p …2=3†dx2 p …1=3†dxz ; eg ˆ p…2=3†dxy ‡ with: ‡ ˆ y2  p  a1g ˆ d0z2 ; egp 0 p…1=3†dyz ; eg‡ ˆ …1=3†dx2 y2 ‡ …2=3†dxz ; and eg ˆ0 …1=3†dxy …2=3†dyz . y The signs given here imply a positive eg lobe in the positive xz quadrant. Care should be exercised in de®ning the coordinate system if this lobe is to point towards a ligand atom.

be made. The simplest is to assume a gradual variation of the thermal motion along the bond, which gives at a point ri on the internuclear vector of length R   Uij …ri † ˆ Uij …R † R ri ‡ Uij …R † R ri =R : …8:7:3:82†

where R represents the 3N nuclear space coordinates and P…R† is the probability of the con®guration R. Evaluation of (8.7.3.79) is possible if the vibrational spectrum is known, but requires a large number of quantum-mechanical calculations at points along the vibrational path. A further approximation is the convolution approximation, which assumes that the charge density near each nucleus can be convoluted with the vibrational motion of that nucleus,

 PR …8:7:3:80† n …r u Rn †Pn …u† du; …r† ˆ

This expression may be used to assign thermal parameters to a bond-centred function. 8.7.3.7.2. Reciprocal-space averaging over external vibrations

…8:7:3:81†

Thermal averaging of the electron density is considerably simpli®ed for modes in which adjacent atoms move in phase. In molecular crystals, such modes correspond to rigid-body vibrations and librations of the molecule as a whole. Their frequencies are low because of the weakness of intermolecular interactions. Rigid-body motions therefore tend to dominate thermal motion, in particular at temperatures for which kT …k ˆ 0:7 cm 1 † is large compared with the spacing of the vibrational energy levels of the external modes (internal modes are typically not excited to any extent at or below room temperature). For a translational displacement …u†, the dynamic density is given by R …8:7:3:83†  dyn …r† ˆ …r u†P …u† du;

where  and  are basis functions centred at R and R , respectively. As the motion of a point between the two vibrating atoms depends on their relative phase, further assumptions must

with …r† de®ned by (8.7.3.81) (Stevens, Rees & Coppens, 1977). In the harmonic approximation, P…u† is a normalized three-dimensional Gaussian probability function, the exponents

n

where n stands for the density of the nth pseudo-atom. The convolution approximation thus requires decomposition of the density into atomic fragments. It is related to the thermal-motion formalisms commonly used, and requires that two-centre terms in the theoretical electron density be either projected into the atom-centred density functions, or assigned the thermal motion of a point between the two centres. In the LCAO approximation (8.7.3.9), the two-centre terms are represented by  …r† ˆ P  …r

R † …r

R †;

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8. REFINEMENT OF STRUCTURAL PARAMETERS of which may be obtained by rigid-body analysis of the experimental data. In general, for a translational displacement …u† and a librational oscillation …!†,
P …8:7:3:84†  dyn …r† ˆ P    P…u; !†: If correlation between u and ! can be ignored (neglect of the screw tensor S†, P…u; !† ˆ P…u†P…!†; and both types of modes can be treated independently. For the translations  P hitrans ˆ P  …r† …r†  P…u†  P …8:7:3:85† ˆ P F 1 f …h†
Ttr …h† ; where F 1 is the inverse Fourier transform operator, and Ttr …h† is the translational temperature factor. If R is an orthogonal rotation matrix corresponding to a rotation !, we obtain for the librations  P hilibr ˆ P  …Rr†v …Rr†  P…!† 

 P …8:7:3:86† ˆ P F 1 f …Rh† ; in which f …h† has been averaged over the distribution of orientations of h with respect to the molecule;

 R f …h† ˆ f …Rh†P…!† d!: …8:7:3:87† Evaluation of (8.7.3.85) and (8.7.3.86) is most readily performed if the basis functions have a Gaussian-type radial dependence, or are expressed as a linear combination of Gaussian radial functions. For Gaussian products of s orbitals, the molecular scattering N exp‰  …r rA †2 Š  factor of the product   ˆ 2 N exp‰  …r rB † Š, where N and N are the normalization factors of the orbitals  and  centred on atoms A and B, is given by   3=2 2    s;s fstat …h† ˆ N N exp r rB  ‡   ‡  A  2 2  jhj  exp …8:7:3:88† exp…2ih
rc †;  ‡ v where the centre of density rc is de®ned by rc ˆ … rA ‡  rB †=… ‡  †. ForP thePtranslational modes, the temperature-factor exponent 22 i j Uij hi hj is simply added to the Gaussian exponent in (8.7.3.88) to give   PP 2 jhj2 Uij hi hj : exp 22  ‡  i j For librations, we may write Rr ˆ r ‡ ulib T

As …Rh†
r ˆ h
R r ˆ h
r …Rh†
ulib , for a function centred at r,  

 P exp…2h
rc † ˆ exp 2i…Rh†
rc P…† d!   R ˆ exp…2h
rc † exp 2i…Rh†
uclib P …!† d!; …8:7:3:89† which shows that for ss orbital products the librational temperature factor can be factored out, or   R s;s s;s f dyn …8:7:3:90† ˆ fstat exp 2i…Rh†
uclib P…!† d!:

Expressions for P…!† are described elsewhere (Pawley & Willis, 1970). For general Cartesian Gaussian basis functions of the type …r† ˆ … x

yA †n … z

zA †p exp… jr

rA j2 †; …8:7:3:91†

the scattering factors are more complicated (Miller & Krauss, 1967; Stevens, Rees & Coppens, 1977), and the librational temperature factor can no longer be factored out. However, it may be shown that, to a ®rst approximation, (8.7.3.90) can again be used. This `pseudotranslation' approximation corresponds to a neglect of the change in orientation (but not of position) of the two-centre density function and is adequate for moderate vibrational amplitudes. Thermally smeared density functions are obtained from the averaged reciprocal-space function by performing the inverse Fourier transform with phase factors depending on the position coordinates of each orbital product h i ˆ

X  1X P f …h† exp 2ih
…r V h

 rc † ;

…8:7:3:92†

where the orbital product   is centred at rc . If the summation is truncated at the experimental limit of …sin †=l, both thermal vibrations and truncation effects are properly introduced in the theoretical densities. 8.7.3.8. Uncertainties in experimental electron densities It is often important to obtain an estimate of the uncertainty in the deformation densities in Table 8.7.3.1. If it is assumed that the density of the static atoms or fragments that are subtracted out are precisely known, three sources of uncertainty affect the deformation densities: (1) the uncertainties in the experimental structure factors; (2) the uncertainties in the positional and thermal parameters of the density functions that in¯uence calc ; and (3) the uncertainty in the scale factor k. If we assume that the uncertainties in the observed structure factors are not correlated with the uncertainties in the re®ned parameters, the variance of the electron density is given by


2  2 …k †  2 …
† ˆ  2 0obs ‡  2 calc ‡ 0obs k2 X calc
0  …k†


up ; k ; ‡  up obs up k p

…8:7:3:93†

where 0obs ˆ obs =k, up is a positional or thermal parameter, and the …up ; k† are correlation coef®cients between the scale factor and the other parameters (Rees, 1976, 1978; Stevens & Coppens, 1976). Similarly, for the covariance between the deformation densities at points A and B,
cov…
A ;
B † ˆ cov obs;A ; obs;B =k2
‡ cov calc;A ; calc;B ‡ obs;A obs;B ‰ …k†=kŠ2 ;

…8:7:3:94†

where it is implied that the second term includes the effect of the scale factor/parameter correlation. Following Rees (1976), we may derive a simpli®ed expression  Since the for the covariance valid for the space group P1. structure factors are not correlated with each other,

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725 s:\ITFC\ch-8-7.3d (Tables of Crystallography)

xA †m … y

8.7. ANALYSIS OF CHARGE AND SPIN DENSITIES X microscopic magnetization densities are related by the simple
 @obs;A @obs;B 2  cov obs;A ; obs;B '  Fobs …h† expression @Fobs …h† @Fobs …h† Z 1  2 X 2 m…r† dr; …8:7:4:1† lˆ ' 2  …Fobs † cos 2…rA ‡ rB †
h V cell V 1=2  ‡ cos 2…rA rB †
h ; …8:7:3:95† where V is the volume of the unit cell, m…r† is the sum of two contributions: ms …r† originating from the spins of the electrons, P  and where the latter equality is speci®c for P 1, indicates and mL …r† originating from their orbital motion. 1=2 summation over a hemisphere in reciprocal space. In general, the …8:7:4:2† m…r† ˆ ms …r† ‡ mL …r†: second term rapidly averages to zero as hmax increases, while the ®rst term may be replaced by its average 8.7.4.2. Magnetization densities from neutron magnetic elastic

 scattering cos 2…rA rB †
h ˆ 3…sin u u cos u†=u3  C…u†; The scattering process is discussed in Section 6.1.3 and only …8:7:3:96† the features that are essential to the present chapter will be 2 with u ˆ 2jrA rB jhmax , or cov…obs;A P Pobs;B2 † ' …2=V †C…u†  summarized here. 2 2 2 For neutrons, the nuclear structure factor FN …h† is given by and  …obs † ' …2=V † 1=2  …F0 †, a relation 1=2  …F0 † P derived earlier by Cruickshank (1949). A discussion of the bj Tj exp…2ih
Rj †: …8:7:4:3† FN …h† ˆ applicability of this expression in other centrosymmetric space j groups is given by Rees (1976). bj , Tj , Rj are the coherent scattering length, the temperature factor, and the equilibrium position of the jth atom in the unit 8.7.3.9. Uncertainties in derived functions cell. The electrostatic moments are functions of the scale factor, the Let r be the spin of the neutron (in units of h=2). There is a positional parameters x, y and z of the atoms, and their charge- dipolar interaction of the neutron spin with the electron spins and density parameters  and Plmp . The standard uncertainties in the the currents associated with their motion. The magnetic structure derived moments are therefore dependent on the variances and factor can be written as the scalar product of the neutron spin and covariances of these parameters. an `interaction vector' Q…h†: If M p represents the m  m variance±covariance matrix of …8:7:4:4† FM …h† ˆ r
Q…h†: the parameters pj , and T is an n  m matrix de®ned by @l =@pj for the lth moment with n independent elements, the variances Q…h† is the sum of a spin and an orbital term: Q and Q , s L and covariances of the elements of ml are obtained from respectively. If r0 ˆ re  0:54  10 12 cm, where is the …8:7:3:96a† gyromagnetic factor (=1.913) of the neutron and re the classical M  ˆ TM p T T : Thomson radius of the electron, the spin term is given by If a moment of an assembly of pseudo-atoms is evaluated, the ^ …8:7:4:5† Qs …h† ˆ r0 h^  Ms …h†  h; elements of T include the effects of coordinate rotations required to transfer atomic moments into a common coordinate system. h^ being the unit vector along h, while Ms …h† is de®ned as * + A frequently occurring case of interest is the evaluation of the P magnitude of a molecular dipole moment and its standard rj exp …2i h
rj † ; …8:7:4:6† Ms …h† ˆ deviation. De®ning j y ˆ 2 ˆ lGlT ;

…8:7:3:96b†

where l is the dipole-moment vector and G is the direct-space metric tensor of the appropriate coordinate system. If Y is the 1  3 matrix of the derivatives @y=@i ,  2 … y† ˆ YM  Y T ;

…8:7:3:96c†

where M  is de®ned by (8.7.3.96a). The standard uncertainty in  may be obtained from …† ˆ …y†=2. Signi®cant contributions often result from uncertainties in the positional and chargedensity parameters of the H atoms. 8.7.4. Spin densities 8.7.4.1. Introduction Magnetism and magnetic ordering are among the central problems in condensed-matter research. One of the main issues in macroscopic studies of magnetism is a description of the magnetization density l as a function of temperature and applied ®eld: phase diagrams can be explained from such studies. Diffraction techniques allow determination of the same information, but at a microscopic level. Let m…r† be the microscopic magnetization density, a function of the position r in the unit cell (for crystalline materials). Macroscopic and

where rj is the spin of the electron at position rj , and angle brackets denote the ensemble average over the scattering sample. Ms …h† is the Fourier transform of the spin-magnetization density ms …r†, given by * + P ms …r† ˆ rj …r rj † : …8:7:4:7† j

This is the spin-density vector ®eld in units of 2B . The orbital part of Q…h† is given by * + X ir0 ^ pj exp …2i h
rj † ; QL …h† ˆ h 2h j

where pj is the momentum of the electrons. If the current density vector ®eld is de®ned by * + e X pj …r rj † ‡ …r rj †pj ; j…r† ˆ …8:7:4:9† 2m j QL …h† can be expressed as ir0 ^ h  J…h†; …8:7:4:10† 2h where J…h† is the Fourier transform of the current density j…r†.

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…8:7:4:8†

QL …h† ˆ

8. REFINEMENT OF STRUCTURAL PARAMETERS The electrodynamic properties of j…r† allow it to be written as the sum of a rotational and a nonrotational part: j…r† ˆ = ‡ =  ‰mL …r†Š;

…8:7:4:11†

where = is a `conduction' component and mL …r† is an `orbitalmagnetization' density vector ®eld. Substitution of the Fourier transform of (8.7.4.11) into (8.7.4.10) leads in analogy to (8.7.4.5) to ^ QL …h† ˆ r0 h^  ML …h†  h;

…8:7:4:12†

where ML …h† is the Fourier transform of mL …r†. The rotational component = of j…r† does not contribute to the neutron scattering process. It is therefore possible to write Q…h† as ^ Q…h† ˆ r0 h^  M…h†  h;

…8:7:4:13†

M…h† ˆ Ms …h† ‡ ML …h†

…8:7:4:14†

with being the Fourier transform of the `total' magnetization density vector ®eld, and m…r† ˆ ms …r† ‡ mL …r†:

…8:7:4:15†

As Q…h† is the projection of M…h† onto the plane perpendicular to h, there is no magnetic scattering when M is parallel to h. It is clear from (8.7.4.13) that M…h† can be de®ned to any vector ®eld V…h† parallel to h, i.e. such that h  V…h† ˆ 0. This means that in real space m…r† is de®ned to any vector ®eld v…r† such that =  v…r† ˆ 0. Therefore, m…r† is de®ned to an arbitrary gradient. As a result, magnetic neutron scattering cannot lead to a uniquely de®ned orbital magnetization density. However, the de®nition (8.7.4.7) for the spin component is unambiguous. However, the integrated magnetic moment l is determined unambiguously and must thus be identical to the magnetic moment de®ned from the principles of quantum mechanics, as discussed in x8:7:4:5:1:3. Before discussing the analysis of magnetic neutron scattering in terms of spin-density distributions, it is necessary to give a brief description of the quantum-mechanical aspects of magnetization densities.

8.7.4.3.1. Spin-only density at zero temperature Let us consider ®rst an isolated open-shell system, whose orbital momentum is quenched: it is a spin-only magnetism case. ^ s be the spin-magnetization-density operator (in units of Let m 2B ): P ^sˆ m r^ j …r rj †: …8:7:4:16† j

rj and r^ j are, respectively, the position and the spin operator (in h units) of the jth electron. This de®nition is consistent with (8.7.4.7). The system is assumed to be at zero temperature, under an applied ®eld, the quantization axis being Oz. The ground state is an eigenstate of S^ 2 and S^ z , where S^ is the total spin: P r^ j : …8:7:4:17† S^ ˆ j

Let S and Ms be the eigenvalues of S^ 2 and S^ z . (Ms will in general be ®xed by Hund's rule: MS ˆ S.) n# Š;

mSz …r† is proportional to the normalized spin density that was de®ned for a pure state in (8.7.2.10). mSz …r† ˆ MS s…r†:

If " …r† and # …r† are the charge densities of electrons of a given spin, the normalized spin density is de®ned as s…r† ˆ ‰" …r†

# …r†Š

1 ‰n"

n# Š

;

…8:7:4:21†

compared with the total charge density …r† given by …r† ˆ " …r† ‡ # …r†:

…8:7:4:22†

A strong complementarity is thus expected from joint studies of …r† and s…r†. In the particular case of an independent electron model,  …r† ˆ

N P iˆ1

j'i …r†j2

… ˆ"; #†;

…8:7:4:23†

where 'i …r† is an occupied orbital for a given spin state of the electron. If the ground state is described by a correlated electron model (mixture of different con®gurations), the one-particle reduced density matrix can still be analysed in terms of its eigenvectors i and eigenvalues ni (natural spin orbitals and natural occupancies), as described by the expression  …r† ˆ

1 P iˆ1

ni j

i …r†j

2

;

…8:7:4:24†

where h i j j i ˆ ij  , since the natural spin orbitals form an orthonormal set, and ni  1

1 P iˆ1

ni ˆ n :

…8:7:4:18†

^ ms …r† ˆ Ss…r†:

…8:7:4:25†

…8:7:4:26†

Equation (8.7.4.26) expresses the proportionality of the spinmagnetization density to the normalized spin density function. 8.7.4.3.2. Thermally density

averaged

spin-only

magnetization

The system is now assumed to be at a given temperature T. S remains a good quantum number, but all …SMS † states …MS ˆ S; . . . ; S† are now populated according to Boltzmann statistics. We are interested in the thermal equilibrium spinmagnetization density: ms …r† ˆ

‡S P MS ˆ S

p…MS †h

^ sj SMS jm

SMS i;

…8:7:4:27†

^s where p…MS † is the population of the MS state. The operator m ful®ls the requirements to satisfy the Wigner±Eckart theorem (Condon & Shortley, 1935), which states that, within the S ^ The ^ s are proportional to S. manifold, all matrix elements of m consequence of this remarkable property is that

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727 s:\ITFC\ch-8-7.3d (Tables of Crystallography)

…8:7:4:20†

As the quantization axis is arbitrary, (8.7.4.20) can be generalized to

8.7.4.3. Magnetization densities and spin densities

2MS ˆ ‰n"

where n" and n# are the numbers of electrons with …": ‡ 12 † and …#: 12 † spin, respectively. The spin-magnetization density is along z, and is given by * + P mSz …r† ˆ r^ …r rj † SMS : …8:7:4:19† SMS j jz

8.7. ANALYSIS OF CHARGE AND SPIN DENSITIES h

^ sj SMS jm

SMS i

ˆh

^

SMS jSj

SMS i fS …r†;

…8:7:4:28†

where fS …r† is a function that depends on S, but not on MS . Comparison with (8.7.4.26) shows that fS …r† is the normalized spin-density function s…r†, which therefore is an invariant for the S manifold ‰s…r† is calculated as the normalized spin density for any MS Š. Expression (8.7.4.27) can thus be written as ms …r† ˆ hSis…r†;

…8:7:4:29†

where hSi is the expected value for the total spin, at a given temperature and under a given external ®eld. As s…r† is normalized, the total moment of the system is lS ˆ hSi: The behaviour of hSi is governed by the usual laws of magnetism: it can be measured by macroscopic techniques. In paramagnetic species, it will vary as T 1 to a ®rst approximation; unless the system is studied at very low temperatures, the value of hSi will be very small. The dependence of hSi on temperature and orienting ®eld is crucial. Finally, (8.7.4.29) has to be averaged over vibrational modes. Except for the case where there is strong magneto-vibrational interaction, only s…r† is affected by thermal atomic motion. This effect can be described in terms similar to those used for the charge density (Subsection 8.7.3.7). The expression (8.7.4.29) is very important and shows that the microscopic spin-magnetization density carries two types of information: the nature of spin ordering in the system, described by hSi, and the delocalized nature of the electronic ground state, represented by s…r†. 8.7.4.3.3. Spin density for an assembly of localized systems A complex magnetic system can generally be described as an ensemble of well de®ned interacting open-shell subsystems (ions or radicals), where each subsystem has a spin S^ n , and Sn2 is assumed to be a good quantum number. The magnetic interaction occurs essentially through exchange mechanisms that can be described by the Heisenberg Hamiltonian: P P Jnm S^ n
S^ m B0
Sn ; …8:7:4:30† *ˆ n 1 kinds of layers. Examples: kaolinites and MoS2 . Acta Cryst. B30, 76±78. Æ urovicÆ, S. (1974b). Die Kristallstruktur des K4 [Si8 O18 ]: D Eine desymmetrisierte OD-Struktur. Acta Cryst. B30, 2214± 2217. Æ urovicÆ, S. (1979). Desymmetrization of OD structures. Krist. D Tech. 14, 1047±1053. Æ urovicÆ, S. (1981). OD-Charakter, Polytypie und Identi®kation D von Schichtsilikaten. Fortschr. Mineral. 59, 191±226. Æ urovicÆ, S. (1994). Classi®cation of phyllosilicates according to D the symmetry of their octahedral sheets. Ceramics-SilikaÂty, 38, 81±84. Æ urovicÆ, S. & Dornberger-Schiff, K. (1981). New fully D descriptive polytype symbols for the basic types of clay minerals. 8th Conference on Clay Mineralogy and Petrology, Teplice, Czechoslovakia, 1979, edited by S. Konta, pp. 19±25. Praha: Charles University. Æ urovicÆ, S., Dornberger-Schiff, K. & Weiss, Z. (1983). D Chlorite polytypism. I. OD interpretation and polytype symbolism of chlorite structures. Acta Cryst. B39, 547±552. Æ urovicÆ, S. & Weiss, Z. (1983). Polytypism of pyrophyllite and D talc. Part I. OD interpretation and MDO polytypes. SilikaÂty, 27, 1±18. Æ urovicÆ, S., Weiss, Z. & Backhaus, K.-O. (1984). Polytypism D of micas. II. Classi®cation and abundance of MDO polytypes. Clays Clay Miner. 32, 464±474. Effenberger, H. (1991). Structures of hexagonal copper(I) ferrite. Acta Cryst. C47, 2644±2646. Eggleton, R. A. & Guggenheim, S. (1994). The use of electron optical methods to determine the crystal structure of a modulated phyllosilicate: parsettensite. Am. Mineral. 79, 426±437. Evans, B. W. & Guggenheim, S. (1988). Talc, pyrophyllite, and related minerals. Reviews in mineralogy, Vol. 19, edited by S. W. Bailey, pp. 225±294. Washington, DC: Mineralogical Society of America.

Fichtner, K. (1965). Zur Existenz von Gruppoiden verschiedener Ordnungsgrade bei OD-Strukturen aus gleichartigen Schichten. Wiss. Z. Tech. Univ. Dresden, 14, 1±13. Fichtner, K. (1977). Zur Symmetriebeschreibung von ODKristallen durch Brandtsche und Ehresmannsche Gruppoide. Beitr. Algebra Geom. 6, 71±79. Fichtner, K. (1979a). On the description of symmetry of OD structures (I). OD groupoid family, parameters, stacking. Krist. Tech. 14, 1073±1078. Fichtner, K. (1979b). On the description of symmetry of OD structures (II). The parameters. Krist. Tech. 14, 1453±1461. Fichtner, K. (1980). On the description of symmetry of OD structures (III). Short symbols for OD groupoid families. Krist. Tech. 15, 295±300. Fichtner, K. & Grell, H. (1984). Polytypism, twinning and disorder in 2,2-aziridinedicarboxamide. Acta Cryst. B40, 434±436. Fichtner-Schmittler, H. (1979). On some features of X-ray powder patterns of OD structures. Krist. Tech. 14, 1079±1088. Figueiredo, M. O. D. (1979). CaracterõÂsticas de empilhamento e modelos condensados das micas e ®lossilicatos a®ns. Lisboa: Junta de Investigacoes Cientõ®cas do Ultramar. Franzini, M. (1969). The A and B mica layers and the crystal structure of sheet silicates. Contrib. Mineral. Petrol. 21, 203±224. Frueh, A. J. & Gray, N. (1968). Con®rmation and re®nement of the structure of Hg3 S2 Cl2 . Acta Cryst. B24, 156. Gard, J. A. & Taylor, H. F. W. (1960). The crystal structure of foshagite. Acta Cryst. 13, 785±793. Grell, H. (1984). How to choose OD layers. Acta Cryst. A40, 95±99. Grell, H. & Dornberger-Schiff, K. (1982). Symbols for OD groupoid families referring to OD structures (polytypes) consisting of more than one kind of layer. Acta Cryst. A38, 49±54. Guinier, A., Bokij, G. B., Boll-Dornberger, K., Cowley, J. M., Æ urovicÆ, S., Jagodzinski, H., Krishna, P., de Wolff, P. M., D Zvyagin, B. B., Cox, D. E., Goodman, P., Hahn, Th., Kuchitsu, K. & Abrahams, S. C. (1984). Nomenclature of polytype structures. Report of the International Union of Crysallography Ad-Hoc Committee on the Nomenclature of Disordered, Modulated and Polytype Structures. Acta Cryst. A40, 399±404. Hamid, S. A. (1981). The crystal structure of the 11 AÊ natural tobermorite Ca2:25 [Si3 O7 :5 (OH)1:5 ]
1H2 O. Z. Kristallogr. 154, 189±198. Heinrich, A. R., Eggleton, R. A. & Guggenheim, S. (1994). Structure and polytypism of bementite, a modulated layer silicate. Am. Mineral. 79, 91±106. Iijima, S. (1982). High-resolution electron microscopy of mcGillite. II. Polytypism and disorder. Acta Cryst. A38, 695±702. Ingrin, J. (1993). TEM imaging of polytypism in pseudowollastonite. Phys. Chem. Miner. 20, 56±62. Ito, T., Sadanaga, R., TakeÂuchi, Y. & Tokonami, M. (1969). The existence of partial mirrors in wollastonite. Proc. Jpn Acad. 45, 913-918. Jagner, S. (1985). On the origin of the order±disorder structures (polytypes) of some transition metal hexacyano complexes. Acta Chem. Scand. 139, 717±724. Jagodzinski, H. (1964). Allgemeine Gesichtspunkte fuÈr die Deutung diffuser Interferenzen von fehlgeordneten Kristallen. Advances in structure research by diffraction methods, Vol. I, edited by R. Brill, pp. 167±198. Braunschweig: Vieweg, and New York/London: Interscience.

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REFERENCES 9.2.2 (cont.) Jarchow, O. & Schmalle, H. W. (1985). Fehlordnung, Polytypie und Struktur von Primetin: 5,8-Dihydroxy-2-phenylchromen4-on. Z. Kristallogr. 173, 225±236. Kaneko, F., Sakashita, H., Kobayashi, M., Kitagawa, Y., Matsuura, U. & Suzuki, M. (1994). Double-layered polytypic structure of the E form of octadecanoic acid, C18 H36 O2 . Acta Cryst. C50, 247±250. Kowalski, M. (1985). Polytypic structures of chromium iron [(Cr,Fe)7 C3 ] carbides. J. Appl. Cryst. 18, 430±435. Kuban, R.-J. (1985). Polytypes of the system Fe1 x S. Cryst. Res. Technol. 20, 1649±1656. Kutschabsky, L., Kretschmer, R.-G., Schrauber, H., Dathe, W. & Schneider, G. (1986). Structure of the OD disordered 2-hydroxy-4-methoxy-2H-1,4-benzoxazin-3-one, C9 H9 NO4 . Cryst. Res. Technol. 21, 1521±1529. McLarnan, T. J. (1981a). Mathematic tools for counting polytypes. Z. Kristallogr. 155, 227±245. McLarnan, T. J. (1981b). The number of polytypes of sheet silicates. Z. Kristallogr. 155, 247±268. McLarnan, T. J. (1981c). The number of polytypes in close packings and related structures. Z. Kristallogr. 155, 269±291. MakovickyÂ, E., Leonardsen, E. & Moelo, Y. (1994). The crystallography of lengenbachite, a mineral with the noncommensurate layer structure. N. Jahrb. Mineral. Abh. 166, 169±191. Mellini, M., Merlino, S. & Pasero, M. (1986). X-ray and HRTEM structure analysis of orientite. Am. Mineral. 71, 176±187. Merlino, S., Orlandi, P., Perchiazzi, N., Basso, R. & Palenzona, A. (1989). Polytypism in stibivanite. Can. Mineral. 27, 625±632. Merlino, S., Pasero, M., Artioli, G. & Khomyakov, A. P. (1994). Penkvilskite, a new kind of silicate structure ± OD character, X-ray single-crystal (1M), and powder Rietveld (2O) re®nements of 2 MDO polytypes. Am. Mineral 79, 1185±1193. Merlino, S., Pasero, M. & Perchiazzi, N. (1993). Crystal structure of paralaurionite and its OD relationship with laurionite. Mineral. Mag. 57, 323±328. Merlino, S., Pasero, M. & Perchiazzi, N. (1994). Fiedlerite ± revised chemical formula (Pb3 Cl4 F(OH)
H2 O), OD description and crystal-structure re®nement of the 2 MDO polytypes. Mineral Mag. 58, 69±78. Mogami, K., Nomura, K., Miyamoto, M., Takeda, H. & Sadanaga, R. (1978). On the number of distinct polytypes of mica and SiC with a prime layer-number. Can. Mineral. 16, 427±435. MuÈller, U. & Conradi, E. (1986). Fehlordnung bei Verbindungen MX3 mit Schichtenstruktur. I. Berechnung des IntensitaÈtsverlaufs auf den Streifen der diffusen RoÈntgenstreuung. Z. Kristallogr. 176, 233±261. Nikolin, B. I. (1984). Multi-layer structures and polytypism in metallic alloys. Kiev: Naukova dumka. [In Russian.] Nikolin, B. I., Babkevich, A. Yu., Izdkovskaya, T. V. & Petrova, S. N. (1993). Effect of heat-treatment on the crystalline structure of martensite in iron-doped, nickeldoped, manganese-doped and silicon-doped Co±W and Co±Mo alloys. Acta Metall. 41, 513±515. Pasero, M. & Reinecke, T. (1991). Crystal-chemistry, HRTEM analysis and polytypic behavior of ardennite. Eur. J. Mineral. 3, 819±830. Pauling, L. (1930a). Structure of micas and related minerals. Proc. Natl Acad. Sci. USA, 16, 123±129.

Pauling, L. (1930b). Structure of the chlorites. Proc. Natl Acad. Sci. USA, 16, 578±582. Phelps, A. W., Howard, W. & Smith, D. K. (1993). Space groups of the diamond polytypes. J. Mater. Res. 8, 2835±2839. Pring, A. & Graeser, S. (1994). Polytypism in baumhauerite. Am. Mineral. 79, 302±307. Radoslovich, E. W. (1961). Surface symmetry and cell dimensions of layer-lattice silicates. Nature (London), 191, 67±68. Reck, G. & Dietz, G. (1986). The order±disorder structure of carbamazepine dihydrate: 5H-dibenz[b,f]azepine-5-carboxamide dihydrate, C15 H12 N2 O
2H2 O. Cryst. Res. Technol. 21, 1463±1468. Reck, G., Dietz, G., Laban, G., GuÈnther, W., Bannier, G. & HoÈhne, E. (1988). X-ray studies on piroxicam modi®cations. Pharmazie, 43, 477±481. Ross, M., Takeda, H. & Wones, D. R. (1966). Mica polytypes: systematic description and identi®cation. Science, 151, 191±193. Schwarz, W. & Blaschko, O. (1990). Polytype structures of lithium at low-temperatures. Phys. Rev. Lett. 65, 3144±3147. Sedlacek, P., Kuban, R.-J. & Backhaus, K.-O. (1987). Structure determination of polytypes. Cryst. Res. Technol. 22, 793±798 (I), 923±928 (II). Smaalen, S. van & de Boer, J. L. (1992). Structure of polytype of the inorganic mis®t-layer compound (PbS)1.18TiS2 . Phys. Rev B, 46, 2750±2757. Smith, J. V. & Yoder, H. S. (1956). Experimental and theoretical studies of the mica polymorphs. Mineral. Mag. 31, 209±235. Sorokin, N. D., Tairov, Yu. M., Tsvetkov, V. F. & Chernov, M. A. (1982). The laws governing the changes of some properties of different silicon carbide polytypes. Dokl. Akad. Nauk SSSR, 262, 1380±1383. [In Russian]. See also Kristallogra®ya, 28, 910±914. SzymanÂski, J. T. (1980). A redetermination of the structure of Sb2 VO5 , stibivanite, a new mineral. Can. Mineral. 18, 333±337. TakeÂuchi, Y., Ozawa, T. & Takahata, T. (1983). The pyrosmalite group of minerals. III. Derivation of polytypes. Can. Mineral. 21, 19±27. Taxer, K. (1992). Order±disorder and polymorphism of the compound with the composition of scholzite, CaZn2 [PO4 ]2
2H2 O. Z. Kristallogr. 198, 239±255. Thompson, J. B (1981). Polytypism in complex crystals: contrasts between mica and classical polytypes. Structure and bonding in crystals II, edited by M. O'Keefe & A. Navrotsky, pp. 168±196. New York/London/Toronto/Sydney/San Francisco: Academic Press. Tomaszewski, P. E. (1992). Polytypism of -LiNH4 SO4 crystals. Solid State Commun. 81, 333±335. Tsvetkov, V. F. (1982). Problems and prospects of growing large silicon carbide single crystals. Izv. Leningr. Elektrotekh. Inst. 302, 14±19. [In Russian.] Verma, A. J. & Krishna, P. (1966). Polymorphism and polytypism in crystals. New York: John Wiley. Æ urovicÆ, S. (1980). OD interpretation of MgWeiss, Z. & D vermiculite. Symbolism and X-ray identi®cation of its polytypes. Acta Cryst. A36, 633±640. Æ urovicÆ, S. (1983). Chlorite polytypism. II. Weiss, Z. & D Classi®cation and X-ray identi®cation of trioctahedral polytypes. Acta Cryst. B39, 552±557. Æ urovicÆ, S. (1985a). Polytypism of pyrophyllite and Weiss, Z. & D talc. Part II. Classi®cation and X-ray identi®cation of MDO polytypes. SilikaÂty, 28, 289±309.

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9. BASIC STRUCTURAL FEATURES 9.2.2 (cont.) Æ urovicÆ, S. (1985b). A uni®ed classi®cation and Weiss, Z. & D X-ray identi®cation of polytypes of 2:1 phyllosilicates. 5th Meeting of the European Clay Groups, Prague, 1983, edited by J. Konta, pp. 579±584. Praha: Charles University. Weiss, Z. & WiewioÂra, A. (1986). Polytypism in micas. III. X-ray diffraction identi®cation. Clays Clay Miner. 34, 53±68. Wennemer, M. & Thompson, A. B. (1984). Tridymite polymorphs and polytypes. Schweiz. Mineral. Petrogr. Mitt. 64, 335±353. White, T. J., Segall, R. L., Hutchison, J. L. & Barry, J. C. (1984). Polytypic behaviour of zirconolite. Proc. R. Soc. London Ser. A, 392, 343±358. Yamanaka, T. & Mori, H. (1981). The crystal structure and polytypes of -CaSiO3 (pseudowollastonite). Acta Cryst. B37, 1010±1017. Zhukhlistov, A. P., Zvyagin, B. B. & Pavlishin, V. I. (1990). The polytype 4M of the Ti-biotite displayed on an obliquetexture electron-diffraction pattern. Kristallogra®ya, 35, 406± 413. [In Russian.] Zoltai, T. & Stout, J. H. (1985). Mineralogy: concepts and principles. Minneapolis, Minnesota: Burgess. Zorkii, P. M. & Nesterova, Ya. M. (1993). Interlayered polytypism in organic crystals. Zh. Fiz. Khim. 67, 217±220. [In Russian.] Zvyagin, B. B. (1964). Electron diffraction analysis of clay minerals. Moskva: Nauka. [In Russian.] Zvyagin, B. B. (1967). Electron diffraction analysis of clay minerals. New York: Plenum. Zvyagin, B. B. (1988). Polytypism in crystal structures. Comput. Math. Appl. 16, 569±591. Zvyagin, B. B. & Fichtner, K. (1986). Geometrical conditions for the formation of polytypes with a supercell in the basis plane. Bull. MineÂral. 109, 45±47. Zvyagin, B. B., Vrublevskaya, Z. V., Zhoukhlistov, A. P., Sidorenko, O. V., Soboleva, S. V. & Fedotov, A. F. (1979). High-voltage electron diffraction in the investigation of layered minerals. Moskva: Nauka [In Russian.]

Kordes, E. (1939a). Die Ermittlung von AtomabstaÈnden aus der È ber eine einfache Beziehung Lichtbrechnung. I. Mitteilung. U zwischen Ionenrefraktion, Ionenradius und Ordnungszahl der Elemente. Z. Phys. Chem. B, 44, 249±260. Kordes, E. (1939b) Die Ermittlung von AtomabstaÈnden aus der Lichtbrechnung. II. Mitteilung. Z. Phys. Chem. B, 44, 327±343. Kordes, E. (1940). Ionenradien und periodisches System. II. Mitteilung. Berechnung der Ionenradien mit Hilfe atomphysicher GroÈssen. Z. Phys. Chem. 48, 91±107. Kordes, E. (1960). Direkte Berechnung der Ionenradien allein aus den Ionen-abstaÈnden. Naturwissenschaften, 47, 463. Pauling, L. (1947). The nature of the interatomic forces in metals. II. Atomic radii and interatomic distances in metals. J. Am. Chem. Soc. 69, 542±553. Pearson, W. B. (1979). The stability of metallic phases and structures: phases with the AlB2 and related structures. Proc. R. Soc. London Ser. A, 365, 523±535. Rodgers, J. R. & Villars, P. (1988). Computer evaluation of crystallographic data. In Proceedings of the 11th International CODATA Conference, Karlsruhe, FRG, edited by P. S. Glaeser. New York: Hemisphere Publishing Corp. Samsonov, G. V. (1968). Editor. Handbook of physicochemical properties of elements, p. 98. New York/Washington: IFI/ Plenum Data Corporation. Teatum, E. T., Gschneider, K. Jr & Waber, J. T. (1960). Compilation of calculated data useful in predicting metallurgical behaviour of the elements in binary alloy systems. USAEC Report LA±2345, 225 pp. Washington, DC: United States Atomic Energy Commission. Teatum, E. T., Gschneider, K. Jr & Waber, J. T. (1968). Compilation of calculated data useful in predicting metallurgical behaviour of the elements in binary alloy systems. USAEC Report LA±4003, 206 pp. [Supercedes Report LA2345 (1960).] Washington, DC: United States Atomic Energy Commission. Villars, P. & Calvert, L. D. (1991). Pearson's handbook of crystallographic data for intermetallic phases, 2nd ed. Materials Park, OH: ASM International. Villars, P. & Girgis, K. (1982). RegelmaÈûigkeiten in binaÈren intermetallischen Verbindungen. Z. Metallkd. 73, 455±462.

9.3

9.4

Brunner, G. O. & Schwarzenbach, D. (1971). Zur Abgrenzung der KoordinationsphaÈre und Ermittlung det Koordinationszahl in Kristallstrukturen. Z. Kristallogr. 133, 127±133. Daams, J. L. C. (1995). Atomic environments in some related intermetallic structure types. Intermetallic compounds, principles and practice, edited by J. H. Westbrook & R. L. Fleischer, Vol. 1, pp. 363±383. New York: John Wiley. Daams, J. L. C. & Villars, P. (1993). Atomic-environment classi®cation of the rhombohedral ``intermetallic'' structure types. J. Alloys Compd. 197, 243±269. Daams, J. L. C. & Villars, P. (1994). Atomic-environment classi®cation of the hexagonal ``intermetallic'' structure types. J. Alloys Compd. 215, 1±34. Daams, J. L. C. & Villars, P. (1997). Atomic enironment classi®cation of the tetragonal ``intermetallic'' structure types. J. Alloys Compd. 252, 110±142. Daams, J. L. C., Villars, P. & van Vucht, J. H. N. (1991). Atlas of crystal structure types for intermetallic phases. Materials Park, OH: ASM International. Daams, J. L. C., Villars, P. & van Vucht, J. H. N. (1992). Atomic-environment classi®cation of the cubic ``intermetallic'' structure types. J. Alloys Compd. 182, 1±33.

Bergerhoff, G. & Brown, I. D. (1987). Inorganic crystal structure database. In Crystallographic databases, edited by F. H. Allen, G. Bergerhoff & R. Sievers, pp. 77±95. Bonn/Cambridge/Chester: International Union of Crystallography. International Tables for X-ray Crystallography (1962). Vol. III, pp. 257±274. Birmingham: Kynoch Press. Sievers, R. & Hundt, R. (1987). Crystallographic information system CRYSTIN. In Crystallographic databases, edited by F. H. Allen, G. Bergerhoff & R. Sievers, pp. 210±221. Bonn/Cambridge/Chester: International Union of Crystallography. 9.5 Allen, F. H., Bellard, S., Brice, M. D., Cartwright, B. A., Doubleday, A., Higgs, H., Hummelink, T., HummelinkPeters, B. G., Kennard, O., Motherwell, W. D. S., Rodgers, J. R. & Watson, D. G. (1979). The Cambridge Crystallographic Data Centre: computer-based search, retrieval, analysis and display of information. Acta Cryst. B35, 2331±2339.

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REFERENCES 9.5 (cont.) Bergerhoff, G., Hundt, R., Sievers, R. & Brown, I. D. (1983). The Inorganic Crystal Structure Database. J. Chem. Inf. Comput. Sci. 23, 66±70. Cambridge Crystallographic Data Centre User Manual (1978). 2nd ed. Cambridge University, England. Harmony, M. D., Laurie, V. W., Kuczkowski, R. L., Schwendemann, R. H., Ramsay, D. A., Lovas, F. J., Lafferty, W. J. & Maki, A. G. (1979). Molecular structures of gas-phase polyatomic molecules determined by spectroscopic methods. J. Phys. Chem. Ref. Data, 8, 619±721. Kennard, O. (1962). Tables of bond lengths between carbon and other elements. International tables for X-ray crystallography, Vol. III, Section 4.2, pp. 275±276. Birmingham: Kynoch Press. Kennard, O., Watson, D. G., Allen, F. H., Isaacs, N. W., Motherwell, W. D. S., Pettersen, R. C. & Town, W. G. (1972). Molecular structures and dimensions, Vol. A1. Interatomic distances 1960±65. Utrecht: Oosthoek. Sutton, L. E. (1958). Tables of interatomic distances and con®guration in molecules and ions. Spec. Publ. No. 11. London: The Chemical Society. Sutton, L. E. (1965). Tables of interatomic distances and con®guration in molecules and ions. Spec. Publ. No. 18. London: The Chemical Society. Taylor, R. & Kennard, O. (1983). The estimation of average molecular dimensions from crystallographic data. Acta Cryst. B39, 517±525. Taylor, R. & Kennard, O. (1985). The estimation of average molecular dimensions. 2. Hypothesis testing with weighted and unweighted means. Acta Cryst. A41, 85±89. Taylor, R. & Kennard, O. (1986). Cambridge Crystallographic Data Centre. 7. Estimating average molecular dimensions from the Cambridge Structural Database. J. Chem. Inf. Comput. Sci. 26, 28±32. 9.6 Allen, F. H., Bellard, S., Brice, M. D., Cartwright, B. A., Doubleday, A., Higgs, H., Hummelink, T., HummelinkPeters, B. G., Kennard, O., Motherwell, W. D. S., Rodgers, J. R. & Watson, D. G. (1979). The Cambridge Crystallographic Data Centre: computer-based search, retrieval, analysis and display of information. Acta Cryst. B35, 2331±2339. Bergerhoff, G., Hundt, R., Sievers, R. & Brown, I. D. (1983). The Inorganic Crystal Structure Database. J. Chem. Inf. Comput. Sci. 23, 66±70. Brown, I. D., Brown, M. C. & Hawthorne, F. C. (1982). BIDICS-1981, Bond index to the determinations of inorganic crystal structures. Institute for Materials Research, Hamilton, Ontario, Canada. Bruce, M. I. (1981). Comprehensive organometallic chemistry, Vol. 9, pp. 1209±1520. London; Pergamon Press. Cambridge Crystallographic Data Centre User Manual (1978). 2nd ed. Cambridge University, England. Harmony, M. D., Laurie, R. W., Kuczkowski, R. L., Schwendemann, R. H., Ramsay, D. A., Lovas, F. J., Lafferty, W. J. & Maki, A. G. (1979). Molecular structures of gas-phase polyatomic molecules determined by spectroscopic methods. J. Phys. Chem. Ref. Data, 8, 619±721. Kennard, O. (1962). Tables of bond lengths between carbon and other elements. International tables for X-ray crystallography, Vol. III, pp. 275±276. Birmingham: Kynoch Press.

Kennard, O., Watson, D. G., Allen, F. H., Isaacs, N. W., Motherwell, W. D. S., Pettersen, R. C. & Town, W. G. (1972). Molecular structures and dimensions, Vol. A1. Interatomic distances, 1960±65. Utrecht: Oosthoek. Murray-Rust, P. & Raftery, J. (1985a). J. Mol. Graphics, 3, 50±59. Murray-Rust, P. & Raftery, J. (1985b). J. Mol. Graphics, 3, 60±68. Russell, D. R. (1988). Specialist periodical reports, organometallic chemistry, pp. 427±525. London: Royal Society of Chemistry. Sutton, L. E. (1958). Tables of interatomic distances and con®guration in molecules and ions. Spec. Publ. No. 11. London: Chemical Society. Sutton, L. E. (1965). Tables of interatomic distances and con®guration in molecules and ions. Spec. Publ. No. 18. London: Chemical Society. Taylor, R. & Kennard, O. (1983). The estimation of average molecular dimensions from crystallographic data. Acta Cryst. B39, 517±525. Taylor, R. & Kennard, O. (1985). The estimation of average molecular dimensions. 2. Hypothesis testing with weighted and unweighted means. Acta Cryst. A41, 85±89. Taylor, R. & Kennard, O. (1986). Cambridge Crystallographic Data Centre. 7. Estimating average molecular dimensions from the Cambridge Structural Database. J. Chem. Inf. Comput. Sci. 26, 28±32.

9.7 Allen, F. H., Davies, J. E., Galloy, J. J., Johnson, O., Kennard, O., Macrae, C. F., Mitchell, E. M., Smith, J. M. & Watson, D. G. (1991). The development of versions 3 and 4 of the Cambridge Structural Database system. J. Chem. Inf. Comput. Sci. 31, 187±204. Baker, R. J. & Nelder, J. A. (1978). The GLIM System. Release 3. Oxford: Numerical Algorithms Group. Belsky, V. K., Zorkaya, O. N. & Zorky, P. M. (1995). Structural classes and space groups of organic homomolecular crystals: new statistical data. Acta Cryst. A51, 473±481. Belsky, V. K. & Zorky, P. M. (1977). Distribution of homomolecular crystals by chiral types and structural classes. Acta Cryst. A33, 1004±1006. Bertaut, E. F. (1995). International tables for crystallography, Vol. A, fourth, revised edition, Chap. 4.1. Dordrecht: Kluwer Academic Publishers. Brock, C. P. & Dunitz, J. D. (1994). Towards a grammar of crystal packing. Chem. Mater. 6, 1118±1127. Coutanceau Clarke, J. A. R. (1972). New periodic close packings of identical spheres. Nature (London), 240, 408±410. Donohue, J. (1985). Revised space-group frequencies for organic compounds. Acta Cryst. A41, 203±204. Evans, R. C. (1964). An introduction to crystal chemistry. Cambridge University Press. Filippini, G. & Gavezzotti, A. (1992). A quantitative analysis of the relative importance of symmetry operators in organic molecular crystals. Acta Cryst. B48, 230±234. Gavezzotti, A. (1991). Generation of possible crystal structures from the molecular structure for low-polarity organic compounds. J. Am. Chem. Soc. 113, 4622±4629.

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9. BASIC STRUCTURAL FEATURES 9.7 (cont.) Gavezzotti, A. (1994). Molecular packing and correlations between molecular and crystal properties. Structure correlation , Vol. 2, edited by H.-B. BuÈrgi & J. D. Dunitz, Chap. 12, pp. 509±542. Weinheim/New York/Basel/Cambridge/Tokyo: VCH Publishers. Gibson, K. D. & Scheraga, H. A. (1995). Crystal packings without symmetry constraints. 1. Test of a new algorithm for determining crystal structures by energy minimization. J. Phys. Chem. 99, 3752±3764. Hahn, Th. (1995). Editor. International tables for crystallography , Vol. A, Space-group symmetry, fourth, revised edition. Dordrecht: Kluwer Academic Publishers. Kitaigorodskii, A. I. (1961). Organic chemical crystallography. New York: Consultants Bureau. Kitaigorodsky, A. I. (1945). The close-packing of molecules in crystals of organic compounds. J. Phys. (Moscow), 9, 351±352. Kitaigorodsky, A. I. (1973). Molecular crystals and molecules. New York: Academic Press. Kitajgorodskij, A. I. (1955). Organicheskaya Kristallokhimiya. Moscow: Academy of Science. Lidin, S., Jacob, M. & Andersson, S. (1995). A mathematical analysis of rod packings. J. Solid State Chem. 114, 36±41. Mezey, P. G. (1993). Shape in chemistry, an introduction into molecular shape and topology. New York/Weinheim/Cambridge: VCH Publishers. Mighell, A. D., Himes, V. L. & Rodgers, J. R. (1983). Spacegroup frequencies for organic compounds. Acta Cryst. A39, 737±740. Nowacki, W. (1942). Symmetrie und physikalisch-chemische Eigenschaften krystallisierter Verbindungen. I. Die Verteilung der Kristallstrukturen uÈber die 219 Raumgruppen. Helv. Chim. Acta, 25, 863±878. Nowacki, W. (1943). Symmetrie und physikalisch-chemische Eigenschaften kristallisierter Verbindungen. II. Die allgemeinen Bauprinzipien organischer Verbindungen. Helv. Chim. Acta, 26, 459±462. Padmaya, N., Ramakumar, S. & Viswamitra, M. A. (1990). Space-group frequencies of proteins and of organic compounds with more than one formula unit in the asymmetric unit. Acta Cryst. A46, 725±730. Patterson, A. L. & Kasper, J. S. (1959). Close packing. International tables for X-ray crystallography, Vol. II, Mathematical tables, pp. 342±354. Birmingham: Kynoch Press. Scaringe, R. P. (1991). A theoretical technique for layer structure prediction. Electron crystallography of organic molecules, edited by J. R. Fryer & D. L. Dorset, pp. 85±113. Dordrecht: Kluwer Academic Publishers. Smith, A. J. (1973). Periodic close packings of identical spheres. Nature (London) Phys. Sci. 246(149), 10±11. Williams, D. E. G. (1987). Close packing of spheres. J. Chem. Phys. 87, 4207±4210. Wilson, A. J. C. (1980). Testing the hypothesis `no remaining systematic error' in parameter determination. Acta Cryst. A36, 937±944. Wilson, A. J. C. (1988). Space groups rare for organic structures. I. Triclinic, monoclinic and orthorhombic crystal classes. Acta Cryst. A44, 715±724. Wilson, A. J. C. (1990). Space groups rare for organic structures. II. Analysis by arithmetic crystal class. Acta Cryst. A46, 742±754.

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REFERENCES 9.8 (cont.) International Tables for Crystallography (1992). Vol. A, edited by Th. Hahn. Dordrecht: Kluwer Academic Publishers. International Tables for Crystallography (1993). Vol. B, edited by U. Shmueli. Dordrecht: Kluwer Academic Publishers. Janner, A. & Janssen, T. (1977). Symmetry of periodically distorted crystals. Phys. Rev. B, 15, 643±658. Janner, A., Janssen, T. & de Wolff, P. M. (1983). Bravais classes for incommensurate crystal phases. Acta Cryst. A39, 658±666; Wyckoff positions used for the classi®cation of Bravais classes of modulated crystals, 667±670; Determination of the Bravais class for a number of incommensurate crystals, 671±678. Janssen, T. (1969). Crystallographic groups in space and time. III. Four-dimensional Euclidean crystal classes. Physica (Utrecht), 42, 71±92. Janssen, T. & Janner, A. (1987). Incommensurability in crystals. Adv. Phys. 36, 519±624. Janssen, T., Janner, A. & Ascher, E. (1969). Crystallographic groups in space and time. I. General de®nitions and basic properties. Physica (Utrecht), 41, 541±565; Crystallographic groups in space and time. II. Central extensions, 42, 41±70. Janssen, T., Janner, A. & de Wolff, P. M. (1980). Symmetry of incommensurate surface layers. Proceeding of Colloquium on Group-Theoretical Methods in Physics, Zvenigorod, edited by M. Markov, pp. 155±166. Moscow: Nauka. Jellinek, F. (1972). Structural transitions of some transitionmetal chalcogenides. Proceedings 5th Materials Research Symposium, Washington. NBS Publ. No. 364, pp. 625±635. Kind, R. & Muralt, P. (1986). Unique incommensurate± commensurate phase transitions in a layer structure perovskite. Incommensurate phases in dielectrics, edited by R. Blinc & A. P. Levanyuk, pp. 301±317. Amsterdam: NorthHolland. Koehler, W. C., Cable, J. W., Wollan, E. O. & Wilkinson, M. K. (1962). Neutron diffraction study of magnetic ordering in thulium. J. Appl. Phys. 33, 1124±1125. Koptsik, V. A. (1978). The theory of symmetry of space modulated structures. Ferroelectrics, 21, 499. Korekawa, M. (1967). Theorie der Satellitenre¯exe. Habilitationsschrift der Ludwig-Maximilian UniversitaÈt MuÈnchen, Germany. Lifshitz, R. (1996). The symmetry of quasiperiodic crystals. Physica (Utrecht), A232, 633±647. McConnell, J. D. C. & Heine, V. (1984). An aid to the structural analysis of incommensurate phases. Acta Cryst. A40, 473±482. Opechowski, W. (1986). Crystallographic and metacrystallographic groups. Amsterdam: North-Holland. Paciorek, W. A. & Kucharczyk, D. (1985). Structure factor calculations in re®nement of a modulated crystal structure. Acta Cryst. A41, 462±466. Perez-Mato, J. M., Madariaga, G. & Tello, M. J. (1984). Superspace transformation properties of incommensurate irreducible distortions. Modulated structure materials, edited by T. Tsakalakos, pp. 151±159. Dordrecht: Nijhoff. Perez-Mato, J. M., Madariaga, G. & Tello, M. J. (1986). Diffraction symmetry of incommensurate structures. J. Phys. C, 19, 2613±2622.

Perez-Mato, J. M., Madariaga, G., ZunÄiga, F. J. & Garcia Arribas, A. (1987). On the structure and symmetry of incommensurate phases. A practical formulation. Acta Cryst. A43, 216±226. PetrÏÂõcÏek, V. & Coppens, P. (1988). Structure analysis of modulated molecular crystals. III. Scattering formalism and symmetry considerations: extension to higher-dimensional space groups. Acta Cryst. A44, 235±239. Petricek, V., Coppens, P. & Becker, P. (1985). Structure analysis of displacively modulated molecular crystals. Acta Cryst. A41, 478±483. Preston, G. D. (1938). The diffraction of X-rays by agehardening aluminium alloys. Proc. R. Soc. London, 167, 526±538. Shechtman, D., Blech, I., Gratias, D. & Cahn, J. W. (1984). Metallic phase with long-range orientational order and no translation symmetry. Phys. Rev. Lett. 53, 1951±1953. Smaalen, S. van (1987). Superspace-group description of shortperiod commensurately modulated crystals. Acta Cryst. A43, 202±207. È ber das bemerkenswerthe Problem der Smith, G. F. H. (1903). U Entwickelung der Kristallformen des Calaverit. Z. Kristallogr. 37, 209±234. Steurer, W. (1987). (3‡1)-dimensional Patterson and Fourier methods for the determination of one-dimensionally modulated structures. Acta Cryst. A43, 36±42. Tanisaki, S. (1961). Microdomain structure in paraelectric phase of NaNO2 . J. Phys. Soc. Jpn, 16, 579. Tanisaki, S. (1963). X-ray study on the ferroelectric phase transition of NaNO2 . J. Phys. Soc. Jpn, 18, 1181. Veysseyre, R. & Weigel, D. (1989). Crystallography, geometry and physics in higher dimensions. V. Polar and monoincommensurate point groups in the four-dimensional space E4 . Acta Cryst. A45, 187±193. Weigel, D., Phan, T. & Veysseyre, R. (1987). Crystallography, geometry and physics in higher dimensions. III. Geometrical symbols for the 227 crystallographic point groups in fourdimensional space. Acta Cryst. A43, 294±304. Wolff, P. M. de (1974). The pseudo-symmetry of modulated crystal structures. Acta Cryst. A30, 777±785. Wolff, P. M. de (1977). Symmetry considerations for displacively modulated structures. Acta Cryst. A33, 493±497. Wolff, P. M. de (1984). Dualistic interpretation of the symmetry of incommensurate structures. Acta Cryst. A40, 34±42. Wolff, P. M. de, Janssen, T. & Janner, A. (1981). The superspace groups for incommensurate crystal structures with a one-dimensional modulation. Acta Cryst. A37, 625±636. Wolff, P. M. de & Tuinstra, F. (1986). The incommensurate phase of Na2 CO3 . Incommensurate phases in dielectrics, edited by R. Blinc & A. P. Levanyuk, pp. 253±281. Amsterdam: North-Holland. Yamamoto, A. (1982a). A computer program for the re®nement of modulated structures. Report NIRIM, Ibaraki, Japan. Yamamoto, A. (1982b). Structure factor of modulated crystal structures. Acta Cryst. A38, 87±92. Yamamoto, A., Janssen, T., Janner, A. & de Wolff, P. M. (1985). A note on the superspace groups for one-dimensionally modulated structures. Acta Cryst. A41, 528±530. È ber einen Algorithmus zur Bestimmung Zassenhaus, H. (1948). U der Raumgruppen. Commun. Helv. Math. 21, 117±141.

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International Tables for Crystallography (2006). Vol. C, Chapter 10.1, pp. 958–961.

10.1. Introduction

By D. C. Creagh and S. Martinez-Carrera WARNING. In this section, the main objectives of protection from ionizing radiation will be discussed and such information as may be necessary for the interpretation of legal documents relating to radiation protection will be given. The material contained herein is drawn from a wide variety of sources but principally from Vol. 26 of the International Commission on Radiological Protection (1977) (ICRP, 1977) and Part 4 (AS-2243/4) of the Standards Association of Australia (1979). It must be stressed that the recommendations made here have no legal force, nor indeed do either ICRP-26 or AS-2243/4. The precise legal requirements will be stipulated in government legislation and by the regulations pertaining to the laboratory in which the researcher is working. Notwithstanding the legal requirements, a moral requirement exists for the operator of a laboratory involved in research with ionizing radiation to be aware of the dangers involved, and to take such steps as are necessary to ensure that both he* and his workers are fully educated in the protective measures to be taken to preserve their own safety. In Vol. III of International Tables for X-ray Crystallography, Cook & Oosterkamp (1968) restricted their discussions, in the main, to the effects of X-rays and neutrons. However, with the increasing use of MoÈssbauer and other -ray techniques in crystallography and the development of nuclear magnetic resonance techniques involving the orientation of (radioactive) nuclei (NMRON), the scope of this chapter will be necessarily more general than that of IT III (1968). Finally, since this chapter can have only an advisory nature and the ®nal arbiter is the legislation of the state and local authority concerned, a list of countries that are known to have legislation concerning radiation protection is given in Table 10.3.1. Also shown in the table is the law under which control is effected and the authority responsible under the act for the implementation of radiation safety procedures. This list results from the return of questionnaires sent to all countries and is believed to be correct as of 1 October 1997.

Table 10.1.1. The relationship between SI and the earlier system of units Quantity

10.1.1.1. Ionizing radiation Ionizing radiation is de®ned as radiation that by its nature and energy has the capacity to interact with and remove electrons from (i.e. ionize) the atoms of substances through which the radiation passes. Suf®ciently energetic radiations may cause permanent changes in the nuclei of the atoms of the substance. Radiation may be propagated in the form of electromagnetic radiation (X-rays and -rays) or particles ( and  particles, neutrons, protons, and other nuclear particles). In the list of de®nitions that follows SI units will be used. The relation between these SI units and the earlier system of units is given in Table 10.1.1. 10.1.1.2. Absorbed dose The energy per unit mass imparted to matter by ionizing radiation at the place of interest [SI unit ˆ gray (Gy)]. *In what follows, `he', `his' and similar pronouns are to be interpreted in a nongender-speci®c manner.

Absorbed dose [gray (Gy ˆ J kg 1 )]

1 J kg 1 0.01 J kg

Activity [becquerel (Bq ˆ s 1 )]

1 Bq 3.7  1010 Bq

2.7  1011 Ci 1 Ci

Dose equivalent [sievert (Sv ˆ J kg 1 )]

1 Sv 0.01 Sv

100 rem 1 rem

Exposure

1 C kg 1 2.58  10

100 rad 1 rad

1

4

C kg

1

3876 R 1R

10.1.1.3. Activity The number of nuclear transformations per unit time occurring in a radionuclide. 10.1.1.4. Adequate protection Protection against ionizing radiations such that the radiation doses received by an individual from internal or external sources, or both, are as low as reasonably achievable and do not exceed the maximum levels given in Table 10.1.2. 10.1.1.5. Background (radiation) Ionizing radiation other than that to be measured, but which contributes to the quantity being measured. 10.1.1.6. Becquerel (Bq) The SI unit of activity 1 Bq corresponds to one nuclear transformation per second. It replaces the curie (Ci).

An area where the occupational exposure of personnel to radiation or radioactive material is under the supervision of a designated radiation safety of®cer. 10.1.1.8. Dose equivalent Product of absorbed dose and quality factor (Subsection 10.1.1.24). This enables the dose received by individuals to be expressed on a scale common to all ionizing radiations. Where the term `dose' is used without quali®cation it is implied that `dose equivalent' is meant. 10.1.1.9. Exposure of X-ray or -radiation A measure of the radiation at a certain place based on its ability to produce ionization in air. [SI unit ˆ coulomb kg 1 . It replaces the roÈntgen (R).] 10.1.1.10. External radiation Ionizing radiation received by the body from sources outside the body.

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Earlier

10.1.1.7. Designated radiation area

10.1.1. De®nitions

Copyright © 2006 International Union of Crystallography

SI

10.1. INTRODUCTION 10.1.1.11. Glove box

10.1.1.25. Radiation laboratory

A closed box having polymer gloves and viewing ports that is used to enclose completely radioactive materials whilst being manipulated.

A laboratory in which irradiating apparatus or sealed radioactive sources are used or stored. It does not contain any unsealed radioactive material.

10.1.1.12. Gray (Gy) The SI unit of absorbed dose. [SI unit ˆ 1 J kg 1 . It replaces the rad.] 10.1.1.13. Half life The period of time in which half the nuclei in a given sample of a particular radionuclide undergo decay.

10.1.1.26. Radioactive contamination The contamination of any material, surface or environment, or of a person by radioactive material. 10.1.1.27. Radioactive material

10.1.1.14. Internal radiation

Any substance that consists of, or contains any, radionuclide provided that the activity of such material is greater than 0.1 Bq kg 1 .

Radiation received from the body from sources within the body.

10.1.1.28. Radioisotope laboratory

10.1.1.15. Irradiating apparatus

A laboratory in which unsealed radioactive material is used or stored. It does not contain any irradiating apparatus.

Apparatus capable of producing ionizing radiation.

10.1.1.29. Radiological hazard

10.1.1.16. Leakage radiation All radiation except the useful beam coming from within a protective housing.

The potential danger to health arising from exposure to ionizing radiation.

10.1.1.17. Licensable quantity

10.1.1.30. Radiological laboratory

The amount of any radionuclide or mixture thereof that is permitted under statutory regulations.

A laboratory in which unsealed radioactive material and/or sealed radioactive material or irradiating apparatus is used or stored.

10.1.1.18. Maximum permissible concentration The concentration of a radionuclide in the air when breathed or water when ingested that would result in an individual receiving the maximum permissible dose (to the whole body or to a speci®c organ depending on the radionuclide in question). 10.1.1.19. Natural background Ionizing radiation received by the body from natural sources (cosmic radiation or naturally occurring radionuclides). 10.1.1.20. Non-stochastic effects Effects on a biological system in which the severity of the effect varies with the dose and for which a threshold is likely to occur. 10.1.1.21. Nuclide A species of atom characterized by the number of protons and neutrons in its nucleus. 10.1.1.22. Occupied area An area that may be occupied by personnel and where a radiation hazard may exist. 10.1.1.23. Protective housing A housing of an X-ray tube or of a sealed source intended to reduce the leakage radiation to a speci®ed level.

10.1.1.31. Radionuclide Species of atom that undergoes spontaneous nuclear transformation with consequent emission of corpuscular and/or electromagnetic radiations. 10.1.1.32. Radiotoxicity The toxicity attributable to ionizing radiation emitted by a radionuclide (and its decay products). It is related to both radioactivity and chemical effects. 10.1.1.33. Sealed source Any radioactive material ®rmly bonded within metals and sealed in a capsule or similar container of adequate mechanical strength so as to prevent dispersion of the active material into its surroundings under foreseeable conditions of use and wear. 10.1.1.34. Sievert (Sv) The SI unit for dose equivalent. 10.1.1.35. Stochastic effects Effects on a biological system in which the probability of an effect occurring rather than its severity is regarded as a function of dose without threshold.

10.1.1.24. Quality factor (QF)

10.1.1.36. Unsealed source

A non-dimensional factor used to reduce the biological effects of radiation to a common scale (see Table 10.1.3).

A source that is not a sealed source and that can produce contamination under normal conditions.

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10. PRECAUTIONS AGAINST RADIATION INJURY Table 10.1.2. Maximum primary-dose limit per quarter [based on National Health and Medical Research Council (1977), as amended]

Table 10.1.3. Quality factors (QF) Type of radiation

Note: The annual MPD is typically twice the quarterly MPD MPD (i) (workers)

Part of body

X-rays, -rays, and electrons

MPD (ii) (public)

Gonads, bone marrow, whole body

30 mSv (3 rem)

2.5 mSv (2.5 rem)

Skin, bone, thyroid

150 mSv (15 rem)

15 mSv (1.5 rem)

Hands, forearms, feet, ankles

400 mSv (40 rem)

35 mSv (3.5 rem)

Organs (including eye lens)

80 mSv (8 rem)

7.5 mSv (0.75 rem)

Abdomen of female of reproductive age

13 mSv (1.3 rem)

1 mSv (0.1 rem)

Foetus between diagnosis of and completion of a pregnancy

10 mSv (1 rem)

1

Neutrons, protons, singly charged particles of rest mass not greater than one atomic mass unit of unknown energy

10

 particles and multiply charged particules

20

1 Sv ˆ (dose in grays)  QF.

(i) no practice ought to be adopted unless its introduction produces a positive net bene®t; (ii) all exposures should be kept as low as reasonably achievable under the existing economic and social circumstances; (iii) the dose equivalent to individuals should not exceed the limits indicated in Table 10.1.2. 10.1.3. Responsibilities 10.1.3.1. General

Note: The maximum primary dose limits as set here are advisory only, and ultimately one should strive to achieve an MPD limit as low as reasonably achievable (often referred to by the acronym ALARA), economic and social factors being taken into account.

10.1.1.37. Useful beam That part of the primary and secondary radiation that passes through the aperture, cone, or other device for collimating a beam of ionizing radiation.

10.1.2. Objectives of radiation protection Radiation protection is concerned with the protection of individuals, their offspring, and society as a whole, at the same time allowing for the participation in activities for which radiation exposure might take place. There are two aspects of these deleterious effects: the somatic effects which become manifest in the individuals themselves, and the hereditary effects which become manifest in their descendants. For the dose range involved in radiation protection, hereditary processes are regarded as being stochastic (thresholdless) processes. Some somatic effects are stochastic, and carcinogenesis is considered to be the chief risk at low doses and therefore a signi®cant problem in radiation protection. Non-stochastic processes are speci®c to particular tissues, e.g. damage to the cataract of the eye lens, non-malignant damage to the skin, damage to the bone marrow causing depletion of the red-cell count, and gonadal cell damage which impairs fertility. For these changes, the severity of the effect depends on the dose received and a clear threshold exists below which no detrimental effect has been found to occur. A balance has to be achieved between the risk of damage to individuals and the bene®ts to society in the use of the ionizing radiation in experiments. Bearing this in mind:

In laboratories using ionizing radiations, a clearly de®ned chain of responsibility has to be established with the employer accepting the responsibility for the provision of services and equipment for the implementation of radiation-protection procedures under whatever legal or administrative procedures are valid for the country in question. 10.1.3.2. The radiation safety of®cer The radiation safety of®cer (RSO) is responsible for the controlled areas within a given establishment. He (or she) is responsible to his employer for the implementation of a radiation-protection programme. His duties will vary according to the legislation and administrative arrangements applicable to his institution but will include, inter alia: (i) giving advice on working practices to management and employees; (ii) monitoring and surveying all controlled areas; (iii) maintaining all equipment for monitoring radiation levels, including personal radiation monitoring devices; (iv) keeping records of radiation levels in controlled areas, dosages to employees, stocks and locations of all radioactive materials and irradiating apparatus; (v) keeping in safe custody all radioactive materials; (vi) arranging the safe disposal of all radioactive waste; (vii) preparing the local rules concerning accident safety and emergencies; (viii) recording and reporting to the appropriate authorities all breaches of the radiation-protection rules. 10.1.3.3. The worker In English common law, the employer is responsible for the actions of his employees but this does not absolve personnel from a duty of care to their fellows. Ultimately, the responsibility for radiation protection lies with the worker concerned. He (or she) should: (i) ensure that he has an appropriate radiation dosimetry device and wears it;

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QF

10.1. INTRODUCTION (ii) inform the RSO whenever he is to work with radioactive materials or irradiating devices; (iii) report to the RSO all known or suspected unsafe situations; (iv) be aware of the directionality of scattered beams, particularly in the case of X-rays scattered from extended single crystals; (v) be familiar with the relevant codes of practice as laid down in legislation and local instructions. 10.1.3.4. Primary-dose limits Two classes of people are envisaged

(i) persons exposed to ionizing radiation in the course of the pursuance of their duties, (ii) members of the general public. In Table 10.1.2, the maximum primary dose (MPD) for those in class (i) and class (ii) is tabulated. SI units are shown in bold type, and the earlier units are shown in parentheses in light type. Planned special exposures are permissible in emergency circumstances provided that in any single exposure twice the annual dose limit is not exceeded, and in a lifetime ®ve times the limit. Also, to allow for the different biological effectiveness of different types of radiation, the quality factor listed in Table 10.1.3 is applied to determine the dose.

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10.2. Protection from ionizing radiation By D. C. Creagh and S. Martinez-Carrera

10.2.1. General

10.2.2.2. Open installations

Because of the diversity of apparatus for the generation of ionizing radiations and the signi®cant differences that exist between laboratories within and between countries, it is not possible to give other than general guidelines as to the preventative measures to be taken. It will be assumed here that the most likely sources of exposure will be X-ray generators and radioisotopes used in the manufacture of specimens for MoÈssbauer and NMRON use, for example. The basis for this assumption is the belief that establishments maintaining neutron and particle accelerator sources will have local regulations more stringent than those of the country in which they exist ± certainly more stringent than those suggested in ICRP-26. They will also have a radiation protection of®cer who will discharge a list of duties similar to those stated in Subsection 10.1.3.2.

10.2.2. Sealed sources and radiation-producing apparatus The types of source and apparatus covered in this section include: (1) sealed sources, such as those used for radiography, and for X-ray scattering experiments; (2) apparatus that produces ionizing radiations, such as X-ray generators and particle accelerators; (3) apparatus that produces ionizing radiation incidentally, such as electron microscopes, cathode-ray oscilloscopes, and high-voltage electronic recti®ers. 10.2.2.1. Enclosed installations Most modern equipment is produced in such a form as to meet the prevailing radiation-protection regulations of the country in which it is sold, and care must be taken that safety circuits provided by the manufacturer are not defeated by staff members undertaking setting-up procedures. Such safety devices might cause visual or audible signals to be given and turn off power to the irradiating device. Many early X-ray generators, electron microscopes, etc. have by modern standards inadequate radiation-protection facilities. Where practicable, therefore, special enclosures should be fabricated to house the apparatus producing the ionizing radiation. These should be designed such that: (i) no person should have access to the interior during irradiation; (ii) access should be prevented during irradiation by the provision of fail-safe interlocks that turn off the irradiating source; (iii) no person should be able to remain in an enclosure during irradiation; (iv) a means of rapid exit should be available to an individual should by chance he (she) be within a enclosure when irradiation commences; (v) the source can be turned off from within the enclosure; (vi) during operation the dose equivalent at any accessible surface outside the enclosure shall not exceed 25 mSv (2.5 rem) per hour; (vii) when not in use, sealed sources should be capable of being housed, by remote control, within suitable shielding inside the enclosure; (viii) all interlocks should be fail-safe enabling isolation of the source in the event of the loss of electrical power.

An open installation because of operational requirements cannot have many of the safeguards suggested in Subsection 10.2.2.1. It is essential that extreme caution be exerted by the operators of such installations. They should bear in mind the following facts: (i) almost all radiation injuries in X-ray diffraction laboratories are to the ®ngers of the operators and occur when setting up monochromators close to the radiation source. Necrosis of the skin occurs within seconds under these circumstances. (ii) The beams scattered from single crystals are highly directional and very intense. Finding and monitoring these beams is usually dif®cult, and normal radiation monitors tend to underestimate the dose. 10.2.2.3. Sealed sources Sealed sources ought to be manipulated only by remote means such as forceps and long tongs. Shielding should be close to the source to minimize the risk of scattered radiation reaching other workers. Sealed sources should be registered by the RSO according to nature and activity. He (or she) is also responsible for their physical integrity and for regular examinations to detect corrosion or other damage. Note that high-activity neutron sources can activate their immediate housings and give rise to additional radiation hazards. 10.2.2.4. X-ray diffraction and X-ray analysis apparatus X-ray-generating devices such as sealed tubes and rotatinganode generators produce intense beams of small cross section and are capable of giving severe radiation burns within a second or so of exposure. Great care is necessary when working close to the exit port of these devices. Apertures in the housing enclosing the X-ray source should be covered by a shutter when the source is not being used. Interlocking devices should exist to prevent the emission of X-rays when: (i) the shutter is open without the analysing components and the beam stops being in place; (ii) the analysing device is not properly in its position in relation to the housing. Housings, shutters, shielded enclosures, and beam stops should be constructed such that the dose equivalent at any accessible point 0.05 m from their surface does not exceed 25 mSv for all practical operating conditions of the source. Warning lights and illuminated signs should be ®tted, interlocked such that they are lit when a shutter is open. 10.2.2.5. Particle accelerators The codi®cation of rules for the safe operation of high-energy particle accelerators is not simple because the various ionizing radiations produced by them require different protective procedures. Particle accelerators ought to be operated in an enclosure from a remote control room in which the dose equivalent rate does not exceed 25 mSv h 1 . A lower dose rate (2.5 mSv h 1 ) is required in adjacent areas used by non-radiation workers.

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10.2. PROTECTION FROM IONIZING RADIATION The probability of mixed radiations (e.g. X-rays and neutrons) co-existing makes servicing hazardous and all maintenance should be performed under the supervision of the RSO. 10.2.3. Ionizing-radiation protection ± unsealed radioactive materials The most common controlled situation in which unsealed radioactive materials is used is in the construction of samples for use in MoÈssbauer experiments, NMRON experiments, and radioactive tracer experiments. Uncontrolled situations can occur, for example, whenever maintenance is being carried out on particle accelerators and neutron generators where radioactivity might be induced in the materials being handled by the particle beams. Great care should be taken to avoid the radioactive material being taken into the body by inhalation, ingestion or absorption through the skin or a wound. Factors that in¯uence the manner in which unsealed radioactive materials are handled include: its radiotoxicity, its volatility, the external radiation level, the nature of the work, and the design of the equipment and ultimately the design of the laboratory.

The decision concerning the manner of handling unsealed radioactive materials is the responsibility of the RSO and the safe implementaion is that of the worker. A great many rules exist concerning the handling of this material, but in the ®nal analysis the worker should: (i) think the problem through, rehearsing his actions where possible; (ii) use his common sense by minimizing the risk of breathing, eating or absorbing on his skin the radioactive material. In particular, eating, drinking or smoking in radioactive environments is to be avoided; (iii) exercise caution and wear the appropriate protective clothing at all times; (iv) be fully cognisant of the rules and regulations pertinent to the laboratory in which he is working. It is the duty of the RSO to ensure that this is so; (v) ensure that he carries the appropriate radiation monitor and the RSO records his levels of exposure regularly; (vi) have ready access to handbooks and textbooks on radiation safety, e.g. Brodsky (1982) and Stott (1983).

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10.3. Responsible bodies

By D. C. Creagh and S. Martinez-Carrera It has been stressed that the foregoing information is of an advisory nature only and that it has no legal force. Countries that have responded to the questionnaire on radiation safety produced by the Commission on Crystallographic Apparatus by 1 October

1997 are shown in Table 10.3.1. It is to the regulatory authorities designated in Table 10.3.1 that questions on radiation safety should be referred.

Table 10.3.1. Regulatory authorities Country Argentina

Legislation

Proclaimed

Responsible authority

Ð

Ð

Ministereo de Educacion, Conseuo Nacional de Investigacion Cientõ®ca y TeÂcnica.

Australia

Code of Practice for Protection Against Ionizing Radiation Emitted from X-ray Analaysis Equipment

1/6/84

National Health and Medical Research Council, PO Box 100, Woden, ACT 2606. Note: Each state and territory has its own speci®c regulations.

Austria

Strahlen Schutzgesetz (Radiation Protection Law)

11/6/69

Federal Ministry for Health and Environment Protection, Stubenring 1, A-1010 Wien.

Belgium

Protection of the Population Against the Hazards of Ionizing Radiations

29/3/58

Service de Protection ControÃles Radiations Ionisantes.

Royal Decrees

12/3/94

MinisteÁre de la Sante Publique, Cite Administrative de l'Etat, Quartier Vesale 2/3, B-1010 Bruxelles.

Brazil

Normas BaÄsicas de RadioprotecËaÄo (Basic Norms of Radiation Protection)

19/9/73

ComissaÄo National de Energia Nuclear, Rua General Severiano, 90-Botafogo, 22.290, Rio de Janeiro.

Canada

Radiation Emitting Devices Regulations (1981)

Ð

Radiation and Protection Bureau, Health and Welfare (Canada), Ottawa, Ontario K1A 0K9.

Chile

Decree Concerning Radiological Protection (1976)

Ð

ComisioÂn Nacional de Investigacion, Cienti®ca y Tecnologica, Cassilia 308, Santiago.

China

Ð

Ð

National Environmental Protection Agency, 115 Nanxiaouie, Xizhemen, Beijing 100035.

Cyprus

Ð

Ð

Senior Medical Physicist, Nicosia General Hospital, Nicosia.

Czech Republic

Denmark

Act of the Ministry of Health of the Czech Republic

30/6/72

Czechoslovak State Norm No. 341725

24/7/68

Order Concerning X-ray Analytical Equipment

15/4/30

Egypt Finland

Ð Radiation Protection Act

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State Of®ce for Nuclear Security, Sleszka 9, 12029 Praha 2.

National Institute of Radiation Hygiene, 378 Fredrikssundsvej, DK-2700 Brùnshùj, Copenhagen.

Ð

Atomic Energy Authority, 101 Kasr El-Eini Street, Cairo.

26/4/57

Finnish Centre for Radiation and Protection, PO Box 14, FIN-00881 Helsinki.

10.3. RESPONSIBLE BODIES Table 10.3.1. Regulatory authorities (cont.) Country France

Legislation

Proclaimed

Ð

Ð

Responsible authority MinisteÁre de la Sante Publique, 31 rue de l'Ecluse, BP 35, 78110 Levesinet. CEA, 31±33 rue de la FeÂdeÂration, 75752 Paris CEDEX 15.

Germany

Gesetz uÈber die friedliche Verwendung der Kernenergie und den Schutz gegen ihre Gefahren (Atomgesetz)

23/12/59

Verordnung uÈber den Schutz vor SchaÈden durch Ionisierende Strahlen (Strahlenschutz Verordnung)

13/10/78

Bundesministerium fuÈr Verkehr, Referat A 13, Robert-Schumann Platz, D-53175 Bonn.

Verordnung uÈber den Schutz vor SchaÈden durch RoÈntgenstrahlen (RoÈntgen Verordnung)

8/1/87

Greece

Protection from Ionizing Radiation

18/1/74

Greek Atomic Energy Commission, 153 10 Aghia paraskevi-Attiki, PO Box 60228.

Hungary

Act 1/1980

1/6/80

National Atomic Energy Commission, 1374 Budapest Pf 365.

India

Atomic Energy Act of 1962

1962

Indian Atomic Energy Regulatory Board, 4th Floor, Vikram Sarabhai Bkavan Anushaktinagar, Bombay 400 094.

Ireland

Order No. 166, Nuclear Energy Act of 1971

1971

Sealed Sources SI No. 17

1972

Nuclear Energy Board, 20±22 Lr Hatch Street, Dublin 2.

Unsealed Sources SI No. 249

1972

Occupational Radiation Protection Regulation of 1981

1981

Employment of Women

1980

Italy

Legislative Act No. 185

13/2/64

Japan

The Atomic Energy Basic Law; Law concerning Prevention from Radiation Hazards due to Radioisotopes etc.

Korea, South

The Atomic Energy Law

New Zealand

Radiation Protectin Act

Norway Pakistan

Israel

Ð

The Licensing Division, Israeli Atomic Energy Commission, PO Box 7061, Tel Aviv 61070. Nuclear Safety and Health Protection Directorate, ENEA, Via Vitaliano, Brancati 48, 00144 Rome-EUR. Radiation Council, 2-2-1 Kasumigaseki, Chiyoda-ku, Tokyo.

11/3/58

Atomic Energy Bureau, Ministry of Science and Technology, The Second Integrated Government Building, Gwacheon, Kyunggi-D, 427 760.

1965

National Radiation Laboratory, Department of Health, PO Box 25-099, Christchurch.

Act Relating to the Use of X-rays, Radium, etc.

18/6/38

National Institute of Radiation Hygiene, PO Box 55, N-1345 ésteras.

Pakistan Nuclear Safety and Radiation Protection Ordinance No. IV of 1984

26/1/84

Pakistan Atomic Energy Commission, Directorate of Nuclear Safety and Radiation Protection, PO Box 1912, Islamabad.

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10. PRECAUTIONS AGAINST RADIATION INJURY Table 10.3.1. Regulatory authorities (cont.) Country

Legislation

Proclaimed

Responsible authority

Ð

Ð

Insituto Peruano de Energia Nuclear, Direccion de Seguridad Nuclear y Proteccion Radiologica, Direccion Av. Canada No. 1470, Lima 41.

Normas Cerais parra ProteccaÄo das Pessons ~ contra as RadiacoÄes Ionizantes ~

25/11/61

Ð

Ð

Peru

Portugal

Russian Federation

Ministerio da Suude, Direccao-Geral da saude, Almeda D. Alfonso Henriques, 45, P-1056, Lisboa Codex. Ministry for Atomic Energy, Committee on Safety, Ecology, and Emergency Situations, ul. B. Ordynka 24/26, 101000 Moscow.

Singapore

The Radiation Protection Act 19B and Regulations 1974

1/9/74

Radiation Protection Inspectorate, Department of Scienti®c Services, Outram Road, Singapore 0316.

Slovak Republic

Act of the Ministry of Health of the Slovak Socialist Republic No. 65

12/9/72

Ministry of Health of the Slovak Republic, Limbova 2, SK-83341 Bratislava.

Czechoslovak State Norm No. 451725

24/7/68

Ley Reguladora de la Energia Nuclear

29/4/64

Reglamento Sobre Instalaciones Nucleares y Radiactivas

21/7/72

Reglamento s. Protection-Sanitaria contra Radiaciones Ionizantes

8/10/82

Spain

South Africa

Ð

Ð

Sweden

Act Concerning Protection Against Radiation

14/3/58

Switzerland

Federal Order (1980)

Turkey

United Kingdom

United States of America

Consejo de Seguridad Nuclear, Paseo de La Castellana 135, Madrid.

Deparment of Health and Welfare, Civitas Building, Cnr Andrew Struken St, Pretoria 0001 (Private Bag X63). Swedish Radiation Protection Institute, S-17116 Stockholm.

Ð

Of®ce FeÂdeÂral de la Sante Publique, Division of Radiation Protection, CH-3003 Berne.

Radiological Health and Safety

1967

Turkish Atomic Energy Authority, Radiological Health and Safety Department, Karantil Sk. No. 67, Bakanliklar-Ankara.

Health and Safety at Work Act

1974

Ionizing Radiation Regulations

1/1/86

Health and Safety Executive, Rose Court, 2 Southwark Bridge, London SE1 9HS.

Atomic Energy Act of 1954

1954

Executive Order 10831

Department of Energy, Forestal Building, 1000 Independence Avenue SW, Washington, DC 20585.

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Nuclear Regulatory Commission, Matomic Building, 1717th Street NW, Washington, DC 20555.

REFERENCES

References Brodsky, A. (1982). Editor. Handbook of radiation measurement and protection, Vols I and II. Florida: CRC Press. Cook, J. E. & Oosterkamp, P. W. J. (1968). Protection against radiation injury. International tables for X-ray crystallography, Vol. III, Chap 6, pp. 333±338. Birmingham: Kynoch Press. International Commission on Radiological Protection (1977). Recommendations of the International Commission on Radiological Protection (adopted 17 January 1977). ICRP Publication 26. Oxford: Pergamon Press. International Tables for X-ray Crystallography (1968). Vol. III. Birmingham: Kynoch Press. National Heath and Medical Research Council (1977). Revised radiation protection standards for individuals exposed to ionizing radiation (as amended). ACT: NHMRC (Australia). Standards Association of Australia (1979). Safety in Laboratories. Part 4. Ionizing radiations. AS-2243/4. Sydney: Standards Association of Australia. Stott, A. M. B. (1983). Radiation protection. Nuclear power and technology, Vol. 3, edited by W. Marshall, pp. 50±77. Oxford: Clarendon Press. Other publications containing relevant material Information relevant to this part may be obtained from the sources listed below. Recommendations of the International X-ray and Radiation Protection Commission (1931). Br. J. Radiol. 4, 485.

International Commission on Radiological Protection, Clifton Avenue, Sutton, Surrey SM2 5PU, England. International Commission on Radiation Units and Measurements, 7910 Woodmont Avenue, Suite 1016, Washington, DC 20013, USA. International Atomic Energy Agency, Wagramerstrasse 5, PO Box 100, A-1400 Vienna, Austria. World Health Organization, CH-1211 GeneÁve 27, Switzerland. National Health and Medical Research Council of Australia, PO Box 100, Woden, ACT 2606, Australia. International Labour Organization, 4 route des Morillons, CH-1211 GeneÁve 22, Switzerland. OECD Nuclear Energy Agency, 38 Bd Suchet, F-75016 Paris, France. National Committee on Radiation Protection and Measurement, C/- National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. Her Majesty's Stationery Of®ce, PO Box 598, London SE1 9NH, England. National Radiological Protection Board, Chilton, Didcot, Oxford OX11 0RQ, England. Food and Drug Administration, 5600 Fishers Lane, Rockville, MD 20857, USA. Hospital Physicists Association, 47 Belgrave Square, London SW1X 8QX, England. National Competent Authorities Responsible for Approvals and Authorizations in Respect of the Transport of Radioactive Material (1997). List No. 28. International Atomic Energy Agency, Vienna.

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references

AUTHOR INDEX

Author Index Entries refer to part, chapter or section numbers Abele, R. K., 7.3 Ê berg, T., 7.4.3 A Abragam, A., 2.6.2 Abrahams, J. M., 7.1.6 Abrahams, K., 4.4.2 Abrahams, S. C., 1.4, 4.2.2, 4.2.6, 5.3, 6.2, 8.1, 8.5, 9.2.2 Abramowitz, M., 6.1.1, 6.3, 7.5 Achiwa, N., 2.9 Ackermann, I., 4.3.7 Adams, L. H., 3.2 Adamsky, R. F., 9.2.1 Adlhart, W., 3.4 Agamalyan, M. M., 4.4.2 Agarwal, B. K., 4.2.6 Ahahama, Y., 4.2.5 Ahlrichs, R., 6.1.1 Ahmed, A., 5.2 Ahn, C. C., 4.3.4, 7.2 Ahtee, M., 2.3, 8.6 Airey, R. W., 7.1.6 Akashi, Y., 5.3 Akhiezer, A. I., 4.2.6 Akiyoshi, T., 2.9 Alani, R., 3.5 Albers, R. C., 4.2.3 Albertsson, J., 5.3 Albinati, A., 8.6 Alcock, N. W., 5.3, 6.3 Aldred, P. J. E., 4.2.6 Alefeld, B., 2.6.2, 4.4.2 Aleksandrov, K. S., 3.1 Alexander, E., 9.2.1 Alexander, H., 4.3.8 Alexander, L., 5.2, 5.3 Alexander, L. E., 2.3, 3.4, 5.1, 5.3, 6.2 Alexander, T. K., 4.4.2 Alexandropoulos, N. G., 7.4.3 Alkire, R. W., 3.4 Allemand, R., 2.4.2, 7.1.6, 7.3 Allen, F. H., 9.5, 9.6, 9.7 Allen, J. P., 3.1 Allen, S., 3.4 Allen, S. J. M., 4.2.4 Allewell, N. M., 3.4 Allin, G. W., 7.3 Allington-Smith, J. R., 7.1.6 Allinson, N. M., 2.7, 7.1.6 Allison, S. K., 2.3, 2.7, 4.2.1, 5.3 Allsopp, D. W. E., 2.7 Alp, E. E., 5.3 Alstrup, I., 4.2.3, 4.2.6 Alstrup, O., 2.5.1 Altarelli, M., 4.3.4 Alter, U., 5.3 Altmann, S. L., 6.1.1 Altomare, A., 8.6 Alvarez, L. W., 4.2.3, 4.4.2 Amadori, R., 4.4.2 Amelinckx, S., 3.5, 4.3.8, 9.2.2 Amemiya, Y., 7.1.6, 7.1.8 Ames, L., 7.1.4 Ammon, H. L., 3.1 AmoroÂs, J. L., 2.2, 5.3 AmoroÂs, M. C., 2.2, 5.3

d'Amour, H., 5.3 Anderegg, J. W., 2.6.1 Anderson, C. A. F., 2.3 Anderson, D., 2.2, 3.4 Anderson, D. W., 6.3 Anderson, E., 8.1 Anderson, I., 4.4.2 Anderson, I. S., 4.4.2 Anderson, J. E., 7.1.6 Anderson, R., 2.4.1 Anderson, W. F., 3.1 Andersson, B., 4.3.7 Andersson, S., 9.1, 9.7 Ando, M., 2.2, 2.7, 2.8, 5.3, 7.1.8 Ando, T., 4.3.3 Ando, Y., 4.3.7, 8.8 Andrade, M., 9.2.1 Andresen, A., 6.1.2 Andrew, N. L., 5.3 Andrews, S. J., 2.2, 2.3 Andrianova, M. E., 7.1.6 Andrus, J., 2.7 Angel, R. J., 9.2.2 Anger, H. O., 7.1.6 Anisimov, Yu. S., 7.1.6 Ankner, J. F., 2.9, 4.4.2 Ansara, I., 2.6.2 Anstis, G. R., 4.3.8 d'Anterroches, C., 4.3.8 Aoki, K., 3.4 Aoki, Y., 4.3.7 Appleman, D. E., 5.2 Apsimon, R. J., 7.1.6 Arai, T., 2.3 Arakali, S. V., 3.1 Arcese, A., 7.1.7 Archer, B. T., 4.3.3 Archer, J. M., 3.4 Argos, P., 3.4 Argoud, R., 3.4 Aristov, V. V., 4.2.6, 5.3 Armstrong, R. W., 2.7 Arndt, U. W., 2.2, 2.7, 3.4, 4.2.1, 4.2.2, 5.3, 6.2, 7.1.6 Arnesen, S. P., 4.3.3 Arnold, E., 3.4 Arnold, H., 3.4 Arnold, P., 2.5.2 Arrott, A., 6.2 Arrott, A. S., 2.8 Arsenin, V. Ya., 2.6.1 Artioli, G., 9.2.2 Artymiuk, P., 2.2 Arvedson, M., 4.3.3 Ê sbrink, S., 5.3 A Ascher, E., 9.8 Ascheron, C., 5.3 Ateiner, J., 2.3 Atoji, M., 6.1.1 Att®eld, J. P., 2.3 Auleytner, J., 5.3 Austerman, S. B., 2.7 Authier, A., 2.7 Autrata, R., 7.2 Averbach, B. L., 2.3 Avery, J., 6.1.1, 8.7

Avilov, A. S., 2.4.1, 4.3.5 Axe, J. D., 4.4.2, 4.4.3 Axelrod, H. J., 3.1 Axelsson, U., 4.2.2 Ayers, G. L., 2.3 Azaroff, L. V., 2.3, 4.2.3, 5.3, 6.3, 9.2.1 Azumi, I., 5.3 BaÎk-Misiuk, J., 5.3 Babkevich, A. Yu., 9.2.2 Bacchella, C. L., 2.6.2 Bach, H., 3.5 Bachmann, R., 2.3, 7.4.2 Backhaus, K.-O., 9.2.2 BacÏkovskyÂ, J., 5.3 Bacon, G. E., 2.6.2, 3.6, 4.4.2, 4.4.4, 6.1.3, 6.4 Bacon, J. R., 2.6.1 Badurek, G., 4.4.2 Baerlocher, Ch., 2.3, 8.6 Bagchi, S. N., 2.6.1 Baharie, E., 8.6 Bai, Z., 8.1 Baigarin, K. A., 4.2.1 Baik, D. H., 4.2.2 Bailey, D., 5.3 Bailey, I., 2.4.2 Bailey, R. L., 4.2.1 Bailey, S. W., 9.2.2 Baker, J. A., 5.3 Baker, J. F. C., 5.3 Baker, R. F., 4.3.4 Baker, R. J., 9.7 Baker, S. M., 2.9 Baker, T. W., 2.3, 5.3 Bakken, L. N., 4.3.7, 8.8 Balaic, D. X., 4.2.5 Baldock, P., 3.1 Ballon, J., 7.1.3, 7.1.6 Balzar, D., 8.6 Band, I. M., 4.2.4 Banerjee, D., 3.5 Bannett, Y. B., 7.4.3 Bannier, G., 9.2.2 Baptista, G. B., 4.2.4 Barber, D. J., 3.5 Barclay, A. N., 3.4 Barla, K., 5.3 Barna, S. L., 2.7 Barnea, Z., 4.2.5 Barnes, I. L., 5.3 Barnes, P., 3.4 Barns, R. L., 5.3 Baronnet, A., 9.2.2 Barraud, J., 2.3 Barreau, G. H., 4.2.2 Barrett, C. S., 2.3, 2.7, 4.3.5 Barrientos, J., 4.3.3 Barry, J. C., 9.2.2 Bartell, L. S., 4.3.3 Bartels, K., 3.4, 6.3 Bartels, K. S., 3.4 Bartels, W. J., 5.3 Barth, H., 2.7, 5.2 Bartl, H., 3.4 Bartunik, H. D., 3.4

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Baru, S. E., 7.1.6 Baruchel, J., 2.8, 7.3 Basile, G., 4.2.2, 5.3 Basinski, Z. S., 4.3.6.2 Basso, R., 9.2.2 Batchelder, D. N., 5.3 Bateman, J. E., 7.1.6 Bateman, O., 3.4 Bates, D. R., 3.4 Bates, F. S., 2.6.2 Batson, P. E., 4.3.4 Battagliarin, M., 2.3 Batterman, B. W., 2.7 Baumhauer, H., 9.2.2 Bauspiess, W., 2.7 Bautz, M. W., 7.1.6 Bayvel, L. P., 2.6.1 Bearden, J. A., 2.3, 4.2.2, 5.2, 5.3 Beaumont, J. H., 2.3, 2.7, 4.2.5 Becherer, G., 2.6.1 Becker, J., 4.4.2 Becker, P., 4.2.2, 5.3, 8.7, 9.8 Becker, P. J., 6.3, 6.4, 8.7 Beckman, R. J., 8.5 Bednarski, S., 4.4.2 Bedzyk, M. J., 4.2.3 Beeman, W. W., 2.6.1, 6.3 Begg, G. S., 3.4 Begum, R., 4.2.6 Behlke, J., 2.6.1 Behrendt, D. R., 6.1.1 Bellamy, B. A., 2.3, 5.3 Bellard, S., 9.5, 9.6 Bellis, J. G., 7.1.6 Bellman, R., 6.1.1 Bellotto, M., 2.3, 5.2, 5.3 Belokoneva, E. L., 9.2.2 Belov, N. V., 1.4, 9.2.1 Belsky, V. K., 9.7 Belsley, D. A., 8.2, 8.5 Benedetti, A., 2.3 Beni, G., 4.2.3 Bennett, C. L., 3.4 Benoit, H., 2.6.2 Bentley, J., 8.7 Berendsen, H. J. C., 3.1 Berestetsky, V. B., 4.2.6 Berg, H. M., 5.3 Berg, W. F., 2.7 Bergamin, A., 4.2.2, 5.3 Berger, H., 5.3 Berger, J. O., 8.1 Berger, S. D., 4.3.4 Bergerhoff, G., 9.4, 9.5, 9.6 Bergevin, F. de, 4.2.5, 8.7 Berggren, K.-F., 7.4.3 Bergman, G., 8.3 Bergstrom, J. C., 4.2.1 Bergstrom, P. M. Jr, 4.2.6 Berk, N. F., 2.9 Berkum, J. van, 5.2 Berliner, R., 7.3 Berman, H., 3.2, 3.3 Berman, L. E., 4.2.5 Bernal, J. D., 2.2, 3.2, 4.3.5

AUTHOR INDEX Bernard, L., 9.8 Bernard, Y., 3.1 Berndtsson, A., 4.2.2 Berneron, M., 4.4.2 Bernstein, S., 4.4.2 Berry, B. S., 2.3 Bertaut, E. F., 1.4, 8.7, 9.2.1, 9.7 Bertin, E. P., 4.2.3 Berzina, T. S., 2.9 Besson, J. M., 2.5.1 Beth, H. A., 4.3.3 Bethe, H., 4.3.4 Bethe, H. A., 2.4.1, 4.3.1 Beu, K. E., 5.2, 5.3 Bevis, M., 5.3 Bewilogua, L., 7.4.3 Beyer, H., 4.2.2 Bhat, H. L., 3.4 Bhatt, V. P., 3.4 Bianconi, A., 4.2.3, 4.3.4 Bickmann, K., 5.3 Bieber, R. L., 5.3 Bienenstock, A., 4.2.1, 4.2.3, 4.2.6 Biggin, S., 5.3 Biggs, F., 4.3.3, 7.4.3 Bigler, E., 7.1.6 Bijvoet, J. M., 2.2, 4.2.6 Bilderback, D. H., 2.2, 4.2.5 Binnig, G., 4.3.8 Bird, D. M., 4.3.2, 4.3.7, 8.8 Bird, R. B., 8.7 Birks, L. S., 2.3 Birnbaum, H. R., 4.2.3 Bischof, C., 8.1 Bish, D. L., 2.3, 7.1.4 Bishop, A. C., 3.1 Bjerrum Mùller, H., 4.4.3 Black, D. R., 3.4 Black, R. E., 5.3 Blackman, M., 2.4.1, 4.3.1, 8.8 Blair, D. G., 6.4 Blake, A. J., 2.3 Blake, R. G., 4.3.7 Blakeslee, D. M., 3.1 Blanc, Y., 4.4.2 Blanton, T. N., 5.2 Blaschko, O., 9.2.2 BlaÈser, D., 3.4 Blech, I., 9.8 Bleeksma, J., 2.3 Bloch, B. J., 7.4.3 Bloch, F., 4.4.2, 7.4.3 Block, S., 2.3, 5.1, 5.3 Blow, D. M., 3.1, 3.4 Blum, M., 7.1.6 Blume, M., 4.2.6, 6.1.2, 7.4.3, 8.7 Blundell, S. A., 4.2.2 Blundell, T. L., 2.2, 3.1 Bùe, N., 4.3.7, 8.8 Boehli, T., 4.2.1 Boehme, R. F., 8.7 Boer, D. K. G. de, 2.9 Boer, J. L. de, 7.5, 9.2.2 Boerdijk, A. H., 9.2.1 Boersch, H., 4.3.4 Boese, R., 3.4 Boettinger, W. J., 2.7 Boeuf, A., 2.8

Boggs, P. T., 8.1 BoÈhlen, K. van, 3.4 Bohlin, H., 2.3 Boie, R. A., 7.3 Bojarski, Z., 2.3 Bokij, G. B., 9.2.2 Boød, T., 2.3 Boll-Dornberger, K., 9.2.2 Bolling, E. D., 4.4.2 Bolotina, N. B., 5.3 Bomchil, G., 5.3 Bond, C. C., 7.1.6 Bond, W. L., 2.7, 5.3 Bone, D. A., 7.1.6 Bonelle, J. P., 4.2.3 Bongaarts, P. J. M., 4.4.2 Bonham, R. A., 4.3.3 BoÈni, P., 4.4.2 Bonin, D., 7.1.6 Bonnet, M., 8.7 Bonnet, R., 3.4 Bonse, M., 2.6.2 Bonse, U., 2.2, 2.3, 2.6.1, 2.7, 4.1, 4.2.2, 4.2.5, 4.2.6, 4.4.2, 5.3 Bontchev, R., 9.2.2 Booker, G. R., 5.4.2 Boom, G., 5.2 Boothroyd, A. T., 2.6.2 Borchert, G. L., 4.2.2 Bordas, J., 2.5.1, 4.1, 5.2, 7.1.6, 9.2.1 Bordet, J., 2.4.2 Bordet, P., 3.1 Borg, I. Y., 2.3 Borgeaud, P., 5.3 Borkowski, C. J., 7.1.6, 7.3 BoÈrner, H. G., 4.2.2 Borovilova, N. V., 4.4.2 Borso, C. S., 7.1.6 Bosshard, R., 3.4, 7.1.6 BoÈttger, G., 4.4.2 Botton, G. A., 8.8 Boucherle, J. X., 8.7 Bouchiat, M. A., 4.4.2 Bouldin, C. E., 4.2.3 Boulin, C., 7.1.6 Bouman, J., 6.2 Bouquiere, J. P., 3.4 Bourdel, J., 7.3 Bourdillon, A. J., 2.5.1, 4.3.4, 5.2 Bourke, P., 4.2.1 Bourret, A., 4.3.8 Bovin, J.-O., 9.2.2 Bowen, D. K., 2.7, 4.1, 4.2.3, 5.3 Bowen, T. S., 4.2.1 Bowman, H. A., 5.3 Box, G. E. P., 8.1, 8.2 Boyarskaya, R. V., 4.3.5 Boyd, R. J., 8.7 Boyers, D. G., 4.2.1 Braam, A. W. M., 7.4.2 Bracewell, R., 2.6.1 BraÂdler, J., 2.7 Brady, R. L., 3.1, 3.4 Brafman, O., 9.2.1 Bragg, W. H., 2.2, 2.3, 5.3 Bragg, W. L., 2.2, 2.6.2, 5.3 Braillon, P., 3.5

Brammer, L., 9.5, 9.6 Brandenburg, K., 9.4 Breitenstein, M., 4.3.3 Brenner, R., 7.3 Brentano, J. C. M., 2.3 Brese, N. E., 9.1 Bretherton, L., 3.4 Briand, J. P., 5.2 Brice, M. D., 9.5, 9.6 Bricogne, G., 4.3.7, 7.1.6 Briggs, E. A., 4.2.4, 4.2.6, 7.4.3 Brindley, G. W., 9.2.2 Brister, K. E., 4.2.5 Britton, D., 3.1 Brock, C. P., 9.7 Brockhouse, B. N., 4.4.2 Brockway, L. O., 4.3.3 Brodsky, A., , 4.2.5 Brongersma, H. H., 7.1.6 Brooks, I., 2.2 Bross, H., 4.3.4 Brouns, E., 9.8 Brown, A. S., 4.2.5 Brown, B. R., 5.3 Brown, D., 4.2.1 Brown, D. B., 2.3 Brown, G. E., 4.2.6 Brown, G. M., 6.1.1 Brown, G. S., 4.2.3, 7.4.4 Brown, H., 1.4, 9.8 Brown, I. D., 9.4, 9.5, 9.6 Brown, L. M., 4.3.4, 4.3.8 Brown, M. C., 9.6 Brown, N. E., 3.4 Brown, P. J., 4.4.5, 6.1.2, 8.7 Brown, R. T., 4.2.4, 4.2.6, 7.4.3 Brown, W. D., 7.4.3 Brownell, S. J., 2.3, 5.2 Brownell, W. E., 2.3 Bruce, M. I., 9.6 BruÈhl, H.-G., 5.3 Brumberger, H., 2.6.1 Brunegger, A., 4.3.4 Brunel, M., 8.7 Brunner, G. O., 9.1, 9.3 Brydson, R., 4.3.4 Brysk, H., 4.2.6 Bubenzer, A., 4.3.4 Buchanan, D., 2.3 Buchanan, J., 8.2 Buckingham, A. D., 8.7 Budinger, T. F., 4.3.8 Budnick, J. L., 4.4.2 Bueche, A. M., 2.6.1 Buerger, M. J., 1.4, 2.2, 2.3, 3.4, 5.3, 6.2, 9.2.1 Buffat, P., 4.4.2 Buggy, T. W., 4.3.4, 7.2 BuÈhrer, W., 4.4.2 Bulkin, B. J., 4.1 BuÈlow, H., 9.8 BuÈlow, R., 1.4 Bunch, D. S., 8.1 Bunge, A. V., 4.3.3 Bunge, C., 4.3.3 Bunge, C. F., 4.3.3 Bunge, H.-J., 4.3.5 Bunkenburg, J., 4.2.1 Bunker, B., 4.2.3 Bunker, G., 4.2.3 Bunn, C. W., 3.1

969

970 s:\ITFC\index.3d (Authors Index)

Bunyan, P. J., 4.3.3 Burany, X. M., 9.2.2 Buras, B., 2.5.1, 2.5.2, 4.2.1, 4.2.6, 5.2, 5.3, 7.1.5 Burbank, R. D., 6.2 Burch, T. J., 4.4.2 Burdette, H. E., 2.7, 3.4 Burek, A. J., 4.2.1 Burge, R. E., 7.2 Burger, A., 7.1.4 Burgers, W. G., 2.2 Burgess, W. G., 8.8 Burgy, M. T., 4.4.2 Burke, B. E., 7.1.6 Burke, J., 5.3 Burkel, E., 7.4.2 Burla, M. C., 8.6 Burley, S. K., 3.1 Burns, R., 7.1.6 Burr, A. F., 2.3, 4.2.2 Burshtein, Z., 7.1.4 Bursill, L. A., 4.3.8 Buschert, R. C., 5.3 Buseck, P., 4.3.4 Buseck, P. R., 4.3.8 Bushnell-Wye, G., 2.3 Bushuev, V. A., 7.4.3 Busing, W. R., 3.4, 5.3 Butler, D. J., 7.1.6 Butler, E. P., 3.5 Butler, M., 2.3 Butler, R. D., 3.3 Buttiker, M., 2.9 Buxton, B. F., 4.3.7 Bychkova, V. E., 2.6.1 Byer, R. L., 4.2.1 Byrd, R. H., 8.1 Caballero, A., 4.2.3 Cable, J. W., 9.8 Caglioti, G., 2.3, 2.4.2, 4.4.3, 8.6 Cahn, J. W., 9.8 Cahn, R. W., 1.3 Calas, G., 4.2.3, 4.3.4 Calvert, L. D., 2.3, 9.3 Campbell, J. E., 3.4 Campos, C., 3.4 Camps, R. A., 4.3.8 Capasso, S., 3.1 Capel, M. S., 2.6.2 Capellmann, H., 4.4.2 Caplan, H. S., 4.2.1 Cardona, M., 4.2.2, 5.3 Cardoso, L. P., 3.4 Carlile, C. J., 2.4.2, 4.4.2, 7.4.2 Carlson, E. H., 9.2.2 Caroll, C. L., 5.3 Carpenter, J. M., 4.4.1 Carr, M. J., 2.4.1 Carr, P. D., 2.2, 3.4, 5.3 Carter, C. B., 4.3.8 Carter, C. W., 3.1 Carter, C. W. Jr, 3.1 Cartwright, B. A., 9.5, 9.6 Carver, T. R., 4.4.2 Cascarano, G., 8.6 Cascio, D., 3.4 Case, A. L., 2.8 Caspar, D. L. D., 4.4.2 Cassetta, A., 2.2

AUTHOR INDEX Castaing, R., 4.2.1, 4.3.4 Castelli, C. M., 2.7 Caticha-Ellis, S., 3.4 Catti, M., 1.3 Catura, R. C., 7.1.6 Cauchois, Y., 4.2.2 Caudron, B., 7.1.6 Caul®eld, P. B., 5.3 Causer, R., 2.3, 5.3 Cavagnero, G., 4.2.2, 5.3 Cembali, F., 5.3 Cernik, R., 5.2 Cernik, R. J., 2.3 CÏernohorskyÂ, M., 5.3 Cerva, H., 2.7 Ceska, T. A., 3.1 Chadha, G. K., 9.2.1 Chadi, D. J., 9.1 Chaimdi, M., 3.4 Chakera, A., 6.3 Chamberland, B. L., 9.2.2 Chambers, F. W., 5.3 Chambers, W. F., 2.4.1 Chan Dyk Tkhan, 7.1.6 Chance, B., 4.2.3 Chandler, G. S., 6.1.1 Chandrasekaran, M., 9.2.1 Chandrashekar, G. V., 3.1 Chang, S.-L., 5.3 Chan Khyo Dao, 7.1.6 Chantler, C. T., 4.2.6 Chapman, J. N., 7.2 Chapuis, G., 4.2.6, 7.5 Charpak, G., 2.2, 7.1.6 Chatterjee, S., 8.5 Chau, K., 4.3.8 Chayen, N. E., 3.1 Cheary, R. W., 5.2 Cheetham, A. K., 2.3, 8.6 Cheetham, G. M. T., 2.3, 3.1 Chen, C. H., 4.3.4 Chen, H., 4.2.3, 4.4.2 Chen, S. H., 2.6.1, 2.6.2 Chen, S.-H., 2.9 Chen-Mayer, H. H., 4.4.2 Cheng, T. Z., 4.3.8 Cheremukhina, G. A., 7.1.6 Chernenko, S. P., 7.1.6 Chernov, M. A., 9.2.2 Cherns, D., 4.3.8 Chesser, N. J., 4.4.2, 4.4.3 Cheung, S., 4.4.2 Chevallier, P., 5.2 Chidambaram, R., 6.1.1 Chieux, P., 7.3 Chikawa, J., 7.1.6, 7.1.7, 7.1.8 Chikawa, J.-I., 2.7 Chipera, S. J., 7.1.4 Chipman, D. R., 4.2.3 Chirino, A. J., 3.1 Chou, H. P., 7.3 Chowanietz, E. G., 7.1.6 Christ, J., 4.4.2 Christen, D. K., 2.6.2 Christensen, A. N., 2.3, 7.1.3 Christoph, A., 5.3 Chu, B., 7.1.6 Chung, S. J., 1.3 Chupp, T. E., 4.4.2 Chwaszczewska, J., 2.5.1 CõÂsarÏovaÂ, I., 9.2.2

Cisney, E., 2.3 Citrin, P. H., 4.1, 4.2.3 Clark, G. F., 2.7 Clark, S. M., 2.5.1, 3.4 Clay, R. E., 4.2.1 Clay, W. T., 7.3 Cleemann, J. C., 2.6.1 Clegg, W., 3.4, 5.3 Clementi, E., 4.4.5, 6.1.1, 6.1.2 Clifton, I. J., 3.4 Cline, J. P., 2.3 Clout, P. N., 7.1.6 Cochran, W., 5.3 Cockayne, D. J. H., 4.3.8 Cocking, S. J., 4.4.2 Cody, V., 3.1 Coelho, A., 5.2 Coene, W., 4.3.8 Coene, W. M. J., 4.3.8 Coffman, D., 4.3.3 Cohen, E. R., 4.2.1, 4.2.2, 4.2.3 Cohen, G. G., 2.7 Cohen, J. B., 2.3 Cohen, M. U., 5.2 Cohn-Vossen, S., 9.1 Cole, H., 2.7, 4.2.6, 5.3 Cole, W. F., 5.3 Colegrove, F. D., 4.4.2 Coleman, T. A., 7.1.6 Collett, B., 7.1.6 Colliex, C., 4.3.4 Collins, C. B., 4.2.1 Collins, D. M., 8.2 Colwell, J. F., 4.4.2 Comparat, V., 7.1.3, 7.1.6 Compton, A. H., 2.3, 2.7, 4.2.1, 5.3 Condon, E. U., 8.7 Conger, G. B., 7.1.6 Conolly, M. L., 3.4 Conradi, E., 9.2.2 Constenoble, M. L., 2.3 Conturie, Y., 4.2.1 Convert, P., 2.4.2, 7.3 Conway, J. H., 9.1 Cook, J. E., Cook, R. D., 8.5 Cookson, D. J., 4.2.6 Cooper, A. S., 5.3 Cooper, C. W., 2.6.1 Cooper, M. J., 4.2.3, 4.4.3, 6.3, 7.4.2, 7.4.3, 8.6 Copley, J. R. D., 4.4.2 Coppens, P., 2.2, 3.4, 6.3, 6.4, 8.7, 9.8 Cork, C., 2.2 Cork, C. W., 7.1.6 Cosier, J., 3.4 Cosslet, V. E., 4.2.3 Cosslett, V. E., 4.2.1 Cotton, J. P., 2.4.2, 7.3 Cottrell, A., 9.2.1 Cottrell, A. H., 6.4 Couderchon, G., 4.4.2 Coulter, K. P., 4.4.2 Coulthard, M. A., 4.3.1, 6.1.1 Coustham, J., 2.6.2 Coutanceau Clarke, J. A. R., 9.7 Cowley, J. M., 2.4.1, 4.1, 4.3.1, 4.3.2, 4.3.6.1, 4.3.7, 4.3.8, 8.8, 9.2.1, 9.2.2

Cowley, R. A., 4.4.3 Cox, A. R., 3.5 Cox, D. E., 2.3, 2.5.1, 4.2.6, 7.4.4, 8.6, 9.2.2 Cox, H. L. Jr, 4.3.3 Cox, M. J., 3.1 Coyle, B. A., 6.3 Cracknell, A. P., 6.1.1 Crain, J., 2.3 CrameÂr, H., 8.4 Craven, A. J., 4.3.4, 7.2 Craven, B. M., 6.4 Crawford, F. S., 4.2.3 Crawford, R. K., 2.9 Craxton, R. S., 4.2.1 Creagh, D. C., 4.2.3, 4.2.4, 4.2.5, 4.2.6, 10 Cressey, G., 2.3 Crewe, A. V., 4.3.4, 4.3.8 Crichton, R. R., 2.6.1, 2.6.2 Croce, P., 2.9 Cromer, D. T., 4.2.4, 4.2.6, 4.3.1, 6.1.1, 7.4.3, 8.7 Cross, J. O., 4.2.3 Crowder, C. E., 2.3, 5.2 Crowfoot, D., 3.2 Crozier, E. D., 4.2.3 Crozier, P. A., 4.3.4 Cruickshank, D. W. J., 2.2, 3.4, 5.3, 8.3, 8.7 Cudney, B., 3.1 Culhane, J. L., 7.1.6 Cullen, E. E., 4.2.4 Cullity, B. D., 2.3 Currat, R., 4.4.2, 7.4.3, 9.8 Curtis, C. F., 8.7 Cusack, S., 2.6.2 Cusatis, C., 4.2.6 Cuttitta, F., 3.2 Czerwinski, H., 7.4.3 Daams, J. L. C., 9.3 Dabbs, J. W. T., 4.4.2 Daberkow, I., 4.3.8 Daberkow, L., 7.2 Dabrowski, A., 7.1.4 Dabrowski, A. J., 7.1.5 Dahl, J. P., 8.7 Dainton, D., 7.1.6 Dalglish, R. L., 7.1.6 Dallas, W. J., 7.1.6 DalleÂ, D., 3.4 Dam, B., 9.8 Damaschun, G., 2.6.1 Damaschun, H., 2.6.1 Dana, E. S., 3.5 Daniel, V., 9.8 Daniels, J., 4.3.4 Daniels, P. J., 7.1.6 D'Antonio, P., 3.1 Danz, H., 3.4 D'Aprile, F., 3.4 Darriet, B., 9.2.2 Darriet, J., 9.2.2 Dartyge, E., 7.1.6 Darwin, C. G., 6.4 Das Gupta, P., 5.2 Dash, J. G., 4.4.2 Dathe, W., 9.2.2 D'Auria, S., 3.1 Davanloo, F., 4.2.1

970

971 s:\ITFC\index.3d (Authors Index)

David, W. I. F., 2.3, 2.5.2, 8.6 Davidson, E. R., 6.1.1 Davidson, J. B., 2.8 Davies, J. E., 9.7 Davies, N. C., 3.5 Davies, S. T., 2.7, 4.2.3 Davis, B. L., 2.3, 5.3 Dawson, B., 6.1.1 Day, M. W., 3.1 Deacon, A., 2.2 Debye, P., 2.3, 2.6.1, 6.2 DeCicco, P. D., 7.4.3 Deckman, H. W., 7.1.6 Degoy, S., 3.1 Dehlinger, U., 9.8 Deininger, C., 8.8 Delaey, L., 9.2.1 Delamoye, P., 9.8 De Lange, P. W., 4.4.2 Delapalme, A., 2.5.2, 4.4.2, 8.7 Delduca, A., 7.1.6 Delettrez, J., 4.2.1 Delf, B. W., 4.2.5, 5.2 Del Grande, N. K., 4.2.3, 4.2.4 Delhez, R., 2.3, 5.2 Dellby, N., 4.3.7, 4.3.8 Delley, B., 8.7 Deltour, J., 2.3 DeLucia, M. L., 8.7 De Marco, J. J., 4.2.4 Demasi, D., 3.1 Demierre, C., 2.2 Demmel, J., 8.1 Denesyuk, A. I., 2.6.1 Denley, D., 4.2.3 Denne, W. A., 3.4 Denner, W., 5.3 Dennis, J. E., 8.1 Dent Glasser, L. S., 3.4 Depmeier, W., 9.8 Dereniak, E. L., 7.1.6 Derewenda, Z., 7.1.6 Desai, C. F., 3.4 Descamps, J., 4.2.1 Desclaux, J. P., 4.2.2, 4.4.5, 6.1.2, 8.7 Deslattes, R., 5.2 Deslattes, R. D., 4.2.1, 4.2.2, 5.2, 5.3 Desseaux, J., 4.3.8 DeTitta, G. T., 3.1 Deutsch, M., 2.3, 4.2.2, 4.2.6, 5.3 Dewan, J. C., 3.4 Dexpert, H., 4.2.3 Dexter, D. L., 2.3 D'Eye, R. W. M., 3.4 Dickens, B., 8.3 Dideberg, O., 3.4 Dietrich, B., 5.3 Dietz, G., 9.2.2 Dietz, J., 7.1.6 DiGiovanni, H. J., 2.3 Dikovskaya, R. R., 5.3 Diller, T. C., 3.1 Dimitrov, D. P., 2.6.1 Dingley, D. J., 5.3 Dinnebier, R. E., 8.6 Di Nova, K., 4.2.1 Dischler, B., 4.3.4 Disko, M. M., 4.3.4

AUTHOR INDEX Divadeenam, M., 4.4.4 Dixon, N. E., 3.1 Dobrzynski, L., 4.4.2 Dobson, P. J., 4.3.8 Dodson, G. G., 3.4 Doi, K., 2.8 Dolin, R., 7.1.6 Doll, C., 4.4.2 Dollase, W. A., 2.3 Dolling, G., 4.4.2 Donaldson, J. R., 8.1 Dongarra, J., 8.1 Doniach, S., 2.6.1, 4.2.3 Donnay, G., 1.3 Donnay, J. D. H., 1.3, 1.4, 9.8 DoÈnni, A., 4.4.2 Donohue, J., 9.7 Dorenwendt, K., 4.2.2, 5.3 Dornberger-Schiff, K., 3.4, 9.2.1, 9.2.2 Dorner, B., 4.4.3, 7.4.2 Dorrington, E., 7.1.6 Dorset, D. L., 3.5, 4.3.7, 4.3.8 D'Orsi, C. J., 7.1.6 Doscher, M. S., 3.4 Doty, J. P., 7.1.6 Doubleday, A., 9.5, 9.6 Downing, K. H., 4.3.8 Downing, R. G., 4.4.2 Downs, J., 4.3.7, 8.8 Doyle, P. A., 4.2.4, 4.3.1, 4.3.2, 6.1.1 Drabkin, G. M., 4.4.2 Dragoo, A. L., 5.2 Draper, N., 8.1, 8.4 Dreier, P., 4.2.3, 4.2.6 Drenth, J., 3.1 Dressler, L., 5.3 Drits, V. A., 2.4.1, 4.3.5 Drum, C. M., 3.5 Drummond, W., 7.1.4 Duarte, P. W. E. P., 4.2.4 Dubey, M., 9.2.1 Duchenois, V., 7.1.6 Du Croz, J., 8.1 Ducruix, A., 3.1 Dudarev, S. L., 4.3.2 Dudley, M., 2.8 Duijneveldt, F. B. van, 6.1.1 Duisenberg, A. J. M., 3.4 Duke, P. J., 4.2.1 DuÈker, H., 4.3.8 Dumas, P., 3.4 Du Mond, J. W. M., 2.3, 2.7 Dunitz, J. D., 9.7 Dunn, H. M., 5.3 Dunning, T. H. Jr, 6.1.1 Dupont, Y., 7.1.6 Duppich, J., 4.4.2 Durand, D., 6.1.1 Durbin, R., 2.2 Durbin, R. M., 7.1.6 Durham, J. P., 4.3.4 Durham, P. J., 4.2.3 Ï urovicÏ, S., 9.2.2 D DuÈrr, J., 4.2.3 DusÏek, M., 9.2.2 Dvoryankina, G. G., 2.4.1 Dwiggins, C. W. Jr, 6.3 Dyson, N. A., 2.3, 4.2.1, 7.1.6

Early, J. G., 3.4 Eastabrook, J. N., 5.3, 7.1.2, 7.5 Ebeling, G., 4.2.2, 5.3 Eberhardt, W., 4.1 Ebert, M., 4.4.2 Ebisawa, T., 2.9, 4.4.2 Eckert, J., 4.4.3 Eddy, M. M., 2.3 Edington, J. W., 3.5, 5.4.1 Edwards, H. J., 2.3, 5.2 Edwards, S. L., 3.4 Edwards, T. H., 2.3 Effenberger, H., 9.2.2 Egelstaff, P. A., 4.4.2 Egerton, R. F., 4.3.4 Eggleton, R. A., 9.2.2 Egidy, T. V., 4.2.2 Egorov, A. I., 4.4.2 Eguchi, T., 4.3.7, 8.8 Ehrenberg, W., 4.2.1 Eichelle, G., 3.1 Eigner, W.-D., 2.6.1 Eikenberry, E. F., 2.7, 7.1.6 EiseleÂ, J.-L., 3.1 Eisenberg, H., 2.6.2 Eisenberger, P., 2.2, 4.1, 4.2.3, 7.4.3 Eklund, H., 3.4 El Korashy, A., 3.4 Elder, M., 3.4 Eling, A., 9.1 Ellinger, Y., 8.7 Ellis, T., 5.3 Ellisman, M. H., 7.2 Elsenhans, O., 4.4.2 Elsner, G., 7.1.6 Emberson, D. L., 7.1.6 Emmerich, C., 2.2 Endesfelder, A., 4.3.3 Endoh, H., 4.3.8 Endoh, T., 7.1.6 Eng, P. J., 4.2.5 Enge, H. A., 4.3.4 Engel, D. H., 4.2.6 Engel, P., 1.4 Engel, W., 4.3.4 Engelman, D. M., 2.6.2 Englander, M., 2.8 Engstrom, P., 4.2.5 Enzo, S., 2.3 Epstein, J., 4.3.3, 8.7 Erickson, J. W., 3.4 Ermer, O., 9.1 Ernst, R. R., 5.5 Ertl, G., 4.1 Escof®er, A., 4.4.2 Esquivel, R. O., 4.3.3 Esteva, J. M., 4.3.4 Evans, B. W., 9.2.2 Evans, E. H., 3.4 Evans, H. T., 2.2, 5.2 Evans, H. T. Jr, 5.3 Evans, J. C., 3.4 Evans, R. C., 2.3, 9.7 Evans, R. G., 3.5 Ewing, F., 3.1 Ewins, C., 3.5 Eyres, B. L., 3.5 Faber, W., 4.4.2 Fabian, D. J., 4.2.2

Fabri, R., 5.3 Fagherazzi, A., 2.3 Fagherazzi, G., 2.3 FaÊk, B., 2.8 Fan, G. Y., 4.3.7, 7.2 Fan, H. F., 4.3.8 Fang, Y., 6.2 Fankuchen, I., 2.3 Fano, U., 4.3.4, 7.1.6 Farabaugh, E. N., 3.5 Farge, Y., 4.2.1 Farkas-Jahnke, M., 9.2.1 Farnell, G. C., 7.2 Farnoux, B., 2.4.2, 7.3 Farquhar, M. C. M., 5.3 Faruqi, A. R., 7.1.6 Fast, G., 9.8 Favro, L. D., 6.1.1 Fawcett, T. G., 2.3, 5.2 Fearon, E. O., 5.3 Feder, R., 2.3 Fedorov, B. A., 2.6.1 Fedorov, V. V., 8.1, 8.4, 8.5 Fedotov, A. F., 4.3.5, 9.2.2 Feher, G., 3.1 Feidenhans'l, R., 2.3, 7.1.3 Feigin, L. A., 2.6.1, 2.9 Fejes, P. L., 4.3.4, 4.3.8 Felcher, G. P., 2.9 Feldman, C., 4.1 Feller, W., 6.1.1 Feng, H.-P., 7.1.6 Ferguson, I. F., 5.2 Fermi, E., 4.2.6, 7.4.3, 8.7 Ferraris, G., 1.3, 4.3.5 FerreÂ-D'AmareÂ, A. R., 3.1 Festenberg, C. V., 4.3.4 Fewster, P. F., 5.3 Fichtner, K., 9.2.2 Fichtner-Schmittler, H., 9.2.2 Fields, P. M., 4.3.8 Figueiredo, M. O., 9.1 Figueiredo, M. O. D., 9.2.2 Filhol, A., 3.4 Filippini, G., 9.7 Filscher, G., 5.3 Finger, L. W., 2.3, 2.5.1, 3.4, 8.3 Fink, J., 4.3.4 Fink, M., 4.3.3 Finlayson, H., 4.2.2 Finney, J. L., 3.4 Finzel, B. C., 7.1.6 Fiori, C. E., 7.1.4 Fiorito, R. B., 4.2.1 Fischer, D. G., 5.3 Fischer, D. W., 4.3.4 Fischer, J., 3.4, 7.3 Fischer, K., 2.7, 4.2.6 Fischer, K. F., 1.4 Fischer, P., 4.4.2, 5.5 Fischer, S., 4.4.2 Fischer, W., 1.4, 9.1 Fisher, R., 6.1.1 Fisher, R. G., 3.1 Fisher, R. M., 4.3.7, 8.8 FitzGerald, J. D., 4.3.8, 5.4.2 Fitzsimmons, M., 2.9 FjellvaÊg, H., 2.3, 7.1.3 Flack, H. D., 1.3, 4.2.2, 5.3, 6.3, 8.1

971

972 s:\ITFC\index.3d (Authors Index)

Flank, A. M., 7.1.6 Fleischer, M., 9.2.2 Flint, R. B., 7.2 Flower, H. M., 3.5 Fock, V., 4.2.6 Foit, F. F. Jr, 3.4 Foltyn, T., 4.4.2 Fomin, V. G., 5.3 Fontaine, A., 7.1.6 Fontecilla-Camps, J. C., 3.1 Ford, W. E., 3.5 Fordham, J. L. A., 7.1.6 FoÈrster, E., 4.2.2, 5.3 Forsyth, J. B., 4.4.2, 4.4.5, 7.3, 8.7 Forsyth, J. M., 4.1, 4.2.1 Forsythe, E., 3.1 Forte, M., 4.4.2 Foster, B. A., 7.1.3 Fouassier, M., 7.1.6 Fourme, R., 2.2, 3.4, 4.2.1, 7.1.6 Fourmond, M., 2.6.2 Fournet, G., 2.6.1, 2.6.2 Fournier, T., 3.1 Fowler, C. E., 7.3 Fox, A. G., 4.3.1, 4.3.2, 4.3.7, 6.1.1, 8.8 Fraaije, J. G. E. M., 3.1 Fraase Storm, G. M., 3.4 Frahm, A., 4.2.3 Frank, F. C., 9.1, 9.2.1 Frank, J., 4.3.8 Frankel, R. D., 4.1, 4.2.1 Frank-Kamenetskii, V. A., 9.2.2 Franklin, K. R., 2.3 Franzini, M., 9.2.2 Fraser, G. W., 7.1.6 Frauenfelder, H., 3.4 Freeborn, B. R., 2.6.2 Freeborn, W. P., 2.3 Freeman, A. J., 4.4.5, 6.1.2, 8.7 Freeman, F. F., 4.4.2 Freer, S. T., 7.1.6 French, S., 7.5 Freund, A., 4.2.6, 5.3 Freund, A. K., 4.2.5, 4.4.2 Freund, I., 7.4.3 Frevel, L. K., 2.3, 2.4.1 Frey, F., 3.4, 4.4.2 Freymann, D., 7.1.6 Fricke, H., 4.2.3 Friedli, H. P., 4.4.2 Friedman, H., 6.3 Friedrich, H., 4.4.2 Friedrich, W., 2.1, 2.2 Frishberg, C., 8.7 Fritsch, E., 4.3.4 Fritsch, M., 4.2.2, 5.3 Frolova, K. E., 4.3.5 Frolow, F., 3.4 Frueh, A. J., 9.2.2 Fryer, J. R., 3.5, 4.3.8 Fu, Z. Q., 4.3.8 Fuchs, H. F., 7.1.6 Fuchs, R., 4.3.4 Fuess, H., 3.4, 4.4.2, 8.7 Fuggle, J. C., 4.2.2, 4.3.4 Fujii, K., 4.2.2 Fujii, Y., 4.4.3 Fujikawa, B. K., 4.2.4, 4.2.6

AUTHOR INDEX Fujimoto, I., 2.7, 7.1.6, 7.1.7 Fujimoto, Z., 4.2.2 Fujita, T., 7.1.6 Fujiwara, K., 4.3.1 Fujiwara, M., 4.2.3 Fujiyoshi, Y., 4.3.7, 4.3.8 Fukahara, A., 5.3 Fukamachi, T., 2.5.1, 5.2, 6.3 Fukuhara, A., 4.3.7, 4.3.8, 8.8 Fukumachi, T., 4.2.5 Fukumori, T., 5.3 Fuller, W. A., 8.1 Fuoss, P. H., 4.2.3, 4.2.6 Furry, W. H., 6.1.1 Futagami, K., 5.3 Gabe, E. J., 5.3 Gabel, K., 4.2.5 Gabor, D., 4.3.8 Gabriel, A., 7.1.6 GaÈhler, R., 4.4.2 Gainsford, G. J., 2.3 Gaødecka, E., 5.3 Gale, B., 5.2 Gallo, R., 3.4 Galloy, J. J., 9.7 Galy, J., 9.2.2 Gamarnik, M. Ya., 5.3 Gamblin, S. J., 3.4 Gandol®, G., 2.3 Ganow, D., 5.3 Garavito, R. M., 3.1 Garcia Arribas, A., 9.8 GarcõÂa-Ruiz, J. M., 3.1 Gard, J. A., 5.4.1, 9.2.2 Gar®eld, B. R. C., 7.1.6 Garlick, G. F. J., 7.2 Garman, E. F., 3.4 Garrett, R., 4.2.5 Garrett, R. F., 4.2.5 Garroff, S., 2.9 Gasgnier, M., 4.3.4 Gaultier, J.-P., 4.3.5 Gauthier, J. P., 9.2.1 Gavezzotti, A., 9.7 Gavin, R. M. Jr, 4.3.3 Gavrila, M., 4.2.6, 7.4.3 Gay, D. M., 8.1 Gearhart, R. A., 4.2.1 Gedcke, D. A., 5.2 Geiger, H., 7.1.2 Geiger, J., 4.3.3, 4.3.4 Geist, V., 5.3 George, B., 2.6.2 George, J. D., 2.3, 5.3 Gerber, C., 4.3.8 Gerdau, E., 5.3 Gerken, M., 5.3 Gerlich, R., 9.1 Gernat, C., 2.6.1 Gerold, V., 2.7 Gerstenberg, H., 4.2.3 Gerstenberg, H. M., 4.2.3, 4.2.4 Gerward, L., 2.5.1, 2.5.2, 4.2.3, 4.2.4, 4.2.6, 5.2, 5.3 Ghose, S., 3.4 Giacovazzo, C., 8.6 Gibbons, P. C., 4.3.4 Gibbs, D., 2.9, 7.4.3, 8.7 Gibson, K. D., 9.7 GiegeÂ, R., 3.1

Gielen, P., 5.3 Giessen, B. C., 2.3, 2.5.1, 5.2 Giles, C., 4.2.5 Gill, P. E., 8.3 Gillham, C. J., 2.3, 5.2 Gilliland, G. L., 3.1, 7.1.6 Gillon, B., 8.7 Gilmore, C. J., 4.3.7, 4.3.8 Gilmore, D. J., 7.1.6 Girgis, K., 9.3 Gjùnnes, J., 4.3.3, 4.3.7, 5.4.2, 8.8 Gjùnnes, K., 4.3.7, 8.8 Glaeser, R. M., 4.3.7, 4.3.8 Glass, H. L., 5.3 Glatter, O., 2.6.1, 2.6.2 GlaÈttli, H., 2.6.2, 4.4.4 Glauber, R., 4.3.3 Glazer, A. M., 2.5.1, 3.4, 5.2, 5.3 Glazer, J., 4.3.7 Glinka, C. J., 4.4.2 Glover, I., 3.4 Glusker, J. P., 2.2 Gobel, H., 4.2.6 GoÈbel, H. E., 2.3, 7.1.3 Gobert, G., 4.4.2 Goddard, H. F., 7.1.6 Goddard, P. A., 2.7 Godwin, R. P., 4.2.1 Godwod, K., 5.3 Goetz, K., 4.2.2, 5.3 Golay, M. J. E., 2.3 Goldberg, M., 4.2.1, 8.7 Goldman, L. M., 4.2.1 Goldman, M., 4.4.4 Goldschmidt, V., 9.8 Goldsmith, C. C., 2.3 Goldsztaub, S., 4.2.1, 9.2.2 Golob, P., 4.3.4 Golovin, A. L., 5.3 Golub, R., 4.4.2 Gonschorek, W., 5.3 Gonzalez, A., 3.4 Goodhew, P. J., 3.5 Goodisman, J., 2.6.1 Goodman, P., 2.4.1, 4.3.6.1, 4.3.7, 8.8, 9.2.2 Goodson, J. H., 7.1.6 Goral, K., 2.6.1 Gorceix, O., 4.2.2 Gordon, G. E., 2.3, 2.5.1, 5.2 Gordon, R. G., 8.7 Gorshkov, A. I., 4.3.5 Goto, K., 2.7, 7.1.6, 7.1.7 Goto, N., 7.1.6, 7.1.7 Gottschalk, H., 4.3.8 Gotwals, J. K., 5.3 Goulon, J., 4.2.5 Graaff, R. A. G. de, 6.3 Graafsma, H., 3.4 Graeff, W., 2.7 Graeser, S., 9.2.2 Graf, W., 4.4.2 Grant, B. K., 2.3 Grant, D. F., 7.5 Grant, G. A., 3.5 Grant, I., 4.3.1, 4.3.2 Grasselli, J. G., 4.1 Gratias, D., 9.8 Graubner, H., 3.2

Gray, N., 9.2.2 Grebille, D., 9.8 Greegor, R. B., 4.3.4 Green, M., 2.3, 4.2.1 Green, R. E. Jr, 2.7, 7.1.7 Greenbaum, A., 8.1 Greenberg, B., 5.2 Greene, G. C., 4.4.2 Greene, G. L., 4.2.2 Greenhough, T. J., 2.2, 3.4 Greenwood, J. A., 6.1.1 Grell, H., 9.2.2 Grenville-Wells, H. J., 6.2 Greville, T. N. E., 2.6.1 Grey, D., 4.2.5 Griebner, U., 5.3 Grif®th, J. P., 3.4 Grigson, C. W. B., 2.4.1 Grimmer, H., 1.3, 4.4.2 Grimsditch, M. H., 5.3 Grimvall, G., 4.2.6 Grinton, G. R., 4.3.8 Gritsaenko, G. S., 4.3.5 Gronsky, R., 4.3.8 Grossi, F., 4.2.5 Grossman, T., 4.4.2 Grosso, J. S., 2.3 Grosswig, S., 5.3 Groves, G. W., 3.5 Grubel, G., 4.2.5 Gruber, E. E., 5.3 GruÈnbaum, B., 9.1 Gruner, S. M., 2.7, 7.1.6 Grunes, L. A., 4.3.4 Gschneider, K. Jr, 9.3 Guagliardi, A., 8.6 Gubbens, A. J., 4.3.7 Gudat, W., 4.3.4 Guetter, E., 7.2 Guggenheim, S., 9.2.2 Guidi-Morosini, C., 6.3 Guigay, J. P., 2.8 Guillemet, E., 7.1.6 Guinet, P., 4.4.2 Guinier, A., 2.3, 2.6.1, 2.6.2, 2.7, 4.3.5, 9.2.2 Gumbel, E. J., 6.1.1 GuÈnther, W., 9.2.2 Guo, C.-L., 4.2.1 Guo, S. Y., 3.2 Gupta, S. K., 3.5 Gurman, S. J., 4.2.3 Guttmann, P., 7.1.6 Guyot, P., 2.6.2 Gyax, F. N., 4.1 Hausermann, D., 4.2.5 Haag, F., 9.1 Haas, J., 2.6.1, 2.6.2 Habash, J., 2.2, 3.4 Hadi, A. S., 8.5 Haendler, H. M., 3.4 Haga, K., 4.2.3 Hagashi, Y., 5.3 Hagemann, H. J., 4.3.4 Hagen, W., 2.7 HaÈgg, G., 2.2 Hahn, Th., 1.3, 1.4, 5.3, 9.2.2, 9.7 Haider, M., 4.3.8 Hails, J. E., 2.2

972

973 s:\ITFC\index.3d (Authors Index)

Hainisch, B., 2.6.1 Hajdu, J., 3.4 Hale, K. F., 3.5 Hales, T. C., 9.1 Halfon, Y., 3.4 Hall, E. L., 5.3 Hall, M. M. Jr., 2.3 Halliwell, M. A. G., 5.3 Hamacher, E. A., 2.3 Hamelin, B., 4.4.2 Hamid, S. A., 9.2.2 Hamill, G. P., 2.3, 5.2 Hamilton, J. F., 7.2 Hamilton, L. D., 2.6.1 Hamilton, R., 2.3, 5.2 Hamilton, W., 2.9 Hamilton, W. A., 2.9 Hamilton, W. C., 2.2, 5.3, 6.4, 7.5, 8.3, 8.4, 8.7 Hamley, I. W., 2.9 Hamlin, R., 2.2, 3.4, 7.1.6 Hammarling, S., 8.1 Hanawalt, J. D., 2.3 Han¯and, M., 4.2.5 Hanic, F., 5.3 Hann, R. A., 3.5 Hanneman, R. E., 5.3 Hansen, N. K., 4.1 Hansen, P. G., 4.2.2 Hanson, H. P., 4.3.3 Hanson, I. R., 3.4 Harada, J., 4.2.5, 7.4.2 Harada, Y., 4.3.7, 7.2 Harding, M. M., 2.2, 2.3, 3.1, 3.4, 5.3 Hardman, K. D., 3.4 Harlos, K., 3.1 Harmon, H. E., 4.4.2 Harmony, M. D., 9.5, 9.6 Harper, R. G., 3.5 Harris, J. L., 4.2.1 Harris, K. D. M., 8.6 Harris, L. J., 7.1.6 Harris, N., 5.3 Harrison, D. C., 7.1.6 Harrison, S. C., 2.2, 7.1.6 Harrison, W. T. A., 2.3 Hart, M., 2.2, 2.3, 2.5.1, 2.6.1, 2.6.2, 2.7, 4.2.2, 4.2.5, 4.2.6, 4.4.2, 5.2, 5.3 Hartl, W. A. M., 4.3.4 Hartmann, H., 3.4 Hartmann, W., 2.7 Hartmann-Lotsch, I., 4.2.6 Hartree, D. R., 4.2.6, 7.4.3 Hartshorne, N. H., 3.1, 3.3 HaÈrtwig, J., 4.2.2, 5.3 Haruta, K., 2.7 Hasegawa, K., 7.1.6 Hasegawa, T., 5.3 Hashimoto, H., 2.7, 4.2.6, 4.3.8 Hashizume, H., 2.2, 2.3, 2.7, 4.2.5, 7.1.3, 7.4.4 Hasnain, S. S., 4.2.3 Hastings, J. B., 2.2, 2.3, 4.2.3, 4.2.6, 7.4.4, 8.6 Hastings, T. J., 3.4 Haszlo, S. E., 7.1.7 Hatton, P. D., 2.3 Hattori, S., 4.2.6 Haubold, H. G., 7.1.6

AUTHOR INDEX Haumann, J., 2.9 Hauptmann, H., 3.2 HaÈusermann, D., 2.5.1, 5.3 Hautecler, S., 4.4.2 Hawkes, D. J., 4.2.4 Hawthorne, F. C., 9.6 Hayakawa, K., 2.7, 6.3, 7.1.6 Hayes, C., 4.4.2 Hayter, J. B., 2.6.2, 2.9, 4.4.2 Hazen, R. M., 2.5.1, 3.4 Heal, K. M., 3.4 Heald, A., 4.2.3 Heath, M. T., 8.1 Heathman, S. P., 4.4.2 Hebert, H., 5.3 Heckingbottom, R., 5.3 Hedman, B., 7.1.5 Heesch, H., 9.1 Hehn, R., 4.4.2 Heidorn, D. B., 2.6.1 Heigl, A., 3.2 Heil, W., 4.4.2 Heine, S., 2.6.1 Heine, V., 4.3.4, 9.8 Heinrich, A. R., 9.2.2 Heinrich, K. F. J., 4.2.4, 7.1.4 Heise, H., 5.3 Heisenberg, W., 4.3.3 Hellings, G. J. A., 7.1.6 Helliwell, J. R., 2.1, 2.2, 2.3, 3.1, 3.4, 4.2.1, 4.2.3, 4.2.6, 7.1.6 Helliwell, M., 3.1 HellkoÈtter, H., 4.2.6 Hellner, E., 7.1.1, 8.7, 9.1 Helmholdt, R. B., 7.4.2 Hemley, R. J., 2.5.1 Henderson, R., 4.3.8 Henderson, R. J., 4.3.7 Hendricks, R. W., 2.6.1, 7.1.6 Hendricks, S., 9.2.1 Hendrickson, W. A., 3.2, 4.2.6, 8.3 Hendrix, J., 2.6.1, 7.1.6 Henins, A., 4.2.2, 5.2, 5.3 Henke, B. L., 4.2.4, 4.2.6 Hennig, M., 3.1 Henning, A., 4.2.6 Henriksen, K., 3.4 Henry, L., 4.3.4 Henry, N. F. M., 2.2, 3.1, 5.3 Hensler, D. H., 2.3 Heo, N. H., 3.4 Hepp, A., 2.3, 8.6 Herbstein, F. H., 5.3 Herino, R., 5.3 Herpin, A., 9.8 Herrman, K., 4.3.8 Herrmann, K.-H., 4.3.4, 7.2 Hertz, G., 4.2.3 Hestenes, M., 8.3 Heuss, K. L., 3.4 Hewat, A. W., 2.4.2, 5.5, 8.6 Hewett, C. A., 2.3 Hewitt, R., 4.2.3 Hey, P. D., 2.4.2, 4.4.2 Heynes, G. D., 7.1.7 Hezemans, A. M. F., 3.1 Hickling, N., 3.2 Hida, M., 4.2.3 Hidaka, M., 2.5.1, 5.2

Higashi, T., 2.2, 3.4 Higgins, S. A., 4.4.3 Higgs, H., 9.5, 9.6 HiismaÈki, P., 4.4.2 Hikaru, T., 4.2.3 Hilbert, D., 9.1 Hilczer, B., 5.3 Hildebrandt, G., 2.7 Hilderbrandt, R. L., 4.3.3 Hill, R. J., 2.3 Hilleke, R. O., 2.9 Hillier, J., 4.3.4 Hilton, M. R., 4.3.7 Himes, V. L., 2.4.1, 9.7 Himmelblau, D. M., 8.4 Hines, W. A., 4.4.2 Hinze, E., 5.2, 5.3 Hirabayashi, M., 4.2.3 Hirabayshi, M., 5.3 Hiraga, K., 4.3.8 Hirai, T., 2.7, 7.1.6, 7.1.7 Hirano, T., 7.1.6 Hirota, F., 4.3.3 Hirs, C. H. W., 2.2 Hirsch, P. B., 2.3, 3.5, 4.3.6.2, 4.3.8, 5.4.1 Hirshfeld, F. L., 7.5, 8.7 Hirshfelder, J. O., 8.7 Hirvonen, J.-P., 2.9 Hitchcock, A. P., 4.3.4 Hjelm, R. P., 2.6.2 Ho, A. H., 4.2.1 Ho, M. M., 4.3.7 Hoaglin, D. C., 8.2 Hobbs, L. W., 3.5 Hock, R., 4.4.2 Hodeau, J. L., 3.1 Hodges, C. H., 4.3.4 Hodgson, K. O., 2.6.1, 4.2.3, 4.2.6, 7.1.5 Hoerni, J. A., 4.3.3 Hofer, F., 4.3.4 Hofer, M., 2.6.1 Hoff, R. W., 4.2.2 Hoffmann, H., 2.6.1, 2.6.2 Hoffmann, R., 4.3.4 Hofmann, A., 4.2.1 Hofmann, D., 4.4.2 Hofmann, E. G., 2.3 Hùghùj, P., 4.4.2 Hohberger, H. I., 4.3.4 Hohenberg, P., 8.7 Hohlwein, D., 3.4, 7.3 HoÈhne, E., 9.2.2 Hùier, R., 4.3.7, 5.4.2, 8.8 Holden, N. E., 4.4.4 Holladay, A., 8.7 Holland, F. M., 3.5 Holmes, K. C., 2.6.1, 3.4 Holmestad, R., 4.3.7, 8.8 Holmshaw, R. T., 7.1.6 Holt, S. A., 4.2.5 HolyÂ, V., 2.9, 5.3 Holzapfel, W. B., 2.5.1 HoÈlzer, G., 4.2.2, 5.3 Hom, T., 5.3 Honess, A. P., 3.5 Hong, S.-H., 5.3 Honjo, G., 2.4.1, 9.2.1 Honkimaki, V., 4.2.1 HoÈnl, H., 4.2.6

d'Hooghe, P., 4.4.2 Hope, H., 3.4 Hopf, R., 7.1.6 Hoppe, W., 2.6.2 Horisberger, M., 4.4.2 Horita, Z., 4.3.7, 8.8 Horiuchi, S., 4.3.8 Hornstra, J., 3.4 Horota, F., 4.3.3 Horstmann, M., 2.4.1 HorvaÂth, J., 5.3 Hosemann, R., 2.6.1, 2.7 Hosokawa, N., 5.3 Hosoya, S., 2.5.1, 2.8, 4.2.6, 5.2, 9.2.1 Hossfeld, F., 2.6.1, 2.6.2, 4.4.2 HovmoÈller, S., 3.4, 4.3.7 Howard, A., 2.2 Howard, A. J., 7.1.6 Howard, C. J., 2.4.2 Howard, S. A., 2.3 Howard, W., 9.2.2 Howerton, R. J., 4.2.4, 4.2.6, 7.4.3 Howes, M. J., 7.1.6 Howie, A., 3.5, 4.3.6.2, 4.3.7, 4.3.8, 5.4.1 Hoya, H., 3.4 Hoylaerts, M., 2.6.1 Hsiang, W. Y., 9.1 Hsu, B. T., 3.1 Hu, H.-C., 6.2 Huang, D. X., 4.3.8 Huang, T. C., 2.3, 5.2, 8.6 Hubbard, C., 2.3, 5.2 Hubbard, C. R., 2.3, 5.1, 5.2, 5.3 Hubbard, K. M., 2.9 Hubbard, S. T., 2.6.1 Hubbell, J. H., 4.2.3, 4.2.4, 4.2.6, 7.4.3 Huber, H., 3.4 Huber, P. J., 8.2 Huber, R., 6.3 Huffman, F. N., 4.2.2 Huggins, F. G., 2.3 Hughes, D. J., 4.4.2 Hughes, G., 7.1.6 Hughes, J. W., 7.1.2, 7.5 Hughes, T. E., 5.2 Huke, K., 4.2.1 Hull, A. W., 2.3 HuÈller, A., 6.1.1 Hulme, R., 5.3 Hulubei, H., 4.2.2 Humblot, H., 4.4.2 Huml, K., 5.3 Hummelink, T., 9.5, 9.6 Hummelink-Peters, B. G., 9.5, 9.6 Humphreys, C. J., 4.3.6.2, 8.8 Hundt, R., 9.4, 9.5, 9.6 Hunter, B., 8.6 Hunter, J. S., 8.1 Hunter, W. G., 8.1 Hustache, R., 2.8 Hutchings, M. T., 4.4.6 Hutchinson, J. L., 4.3.8 Hutchison, J. L., 9.2.2 Huxham, M., 3.5 Huxley, H. E., 7.1.6 d'Huysser, A., 4.2.3

973

974 s:\ITFC\index.3d (Authors Index)

Huyton, A., 5.2 Huzinaga, S., 6.1.1 Hwang, S. R., 4.4.2 Hyde, S. T., 9.1 Hyman, A., 3.5 Hyogah, H., 4.2.6 I'anson, K. J., 2.6.1 Ibach, H., 4.3.4 Ibel, K., 2.4.2, 2.6.1, 2.6.2, 4.4.2, 7.3 Ibers, J. A., 4.3.1 Ichimiya, A., 4.3.7, 8.8 IevinÎsÏ, A., 5.3 Ihara, H., 4.2.3 Ihringer, J., 3.4 Iijima, S., 4.3.8, 9.2.2 Iijima, T., 4.3.3 Ikeda, S., 4.2.3 Ikhlef, A., 7.1.6 Illini, Th., 7.4.2 Imada, K., 3.4 Imai, K., 5.3 Imamov, R. M., 2.4.1, 5.3 Immirzi, A., 8.6 Imura, T., 5.3 Inagaki, Y., 7.3 Inagami, T., 3.4 Incoccia, L., 4.2.3 Indelicato, P., 4.2.2 Ingrin, J., 9.2.2 Inkinen, O., 2.3 Inokuti, M., 4.3.4 In't Veld, G. A., 7.1.6 Inzaghi, D., 5.3 Irie, K., 5.3 Isaacs, N. W., 3.4, 9.5, 9.6 Isaacson, M., 4.3.4 Isaacson, M. S., 4.3.4 Isherwood, B. J., 5.3 Ishida, K., 4.2.6 Ishigaki, A., 2.5.1 Ishiguro, T., 4.2.3 Ishikawa, T., 2.7, 4.2.5, 4.2.6 Ishimura, T., 4.2.1, 4.2.3 Ishizawa, N., 3.4 Ishizuka, K., 4.3.8, 7.2 Isoda, S., 7.2 Isokawa, K., 5.3 Isozaki, Y., 7.1.6 Israel, H., 4.2.6 Israel, H. I., 4.2.4 Ito, M., 2.7, 7.1.6, 7.1.8 Ito, T., 9.2.2 Ivanov, A. B., 7.1.6 Iwai, S., 3.4 Iwanczyk, J., 7.1.4 Iwanczyk, J. S., 7.1.5 Iwasaki, N., 4.2.6 Izdkovskaya, T. V., 9.2.2 Jack, A., 8.3 JaÈckel, K.-H., 5.3 Jackson, D. F., 4.2.4 Jacob, M., 9.7 JacobeÂ, J., 2.4.2, 7.3 Jacobs, L., 2.7, 4.2.2 Jacobs, S., 4.2.1 Jacobson, R. A., 3.4 Jacrot, B., 2.6.2 Jagner, S., 9.2.2

AUTHOR INDEX Jagodzinski, H., 2.3, 3.4, 9.2.1, 9.2.2 Jahn, H. A., 7.4.2 Jain, P. C., 9.2.1 James, R. W., 4.2.6, 5.3, 6.3, 7.4.2 James, V. J., 7.1.6 James, W. J., 5.3 Jancarik, J., 3.1 JaÈnig, G. R., 2.6.1 Janin, J., 3.1 Janner, A., 9.8 Janot, C., 2.6.2 Jansen, J., 3.5 Jansonius, J. N., 3.1 Janssen, R. W., 4.3.4 Janssen, T., 9.8 Jap, B. K., 4.3.7, 4.3.8 Jarchow, O., 9.2.2 JaÈrvinen, M., 2.3 JaÈschke, J., 5.3 Jauch, J. M., 7.4.3 Jauch, W., 2.5.2 Jaynes, E. T., 8.2 Jeffery, J. W., 2.2, 3.1, 3.4 Jeffrey-Hay, P., 6.1.1 Jeitschko, W., 2.3 Jelinsky, P., 7.1.6 Jelley, E. E., 3.3 Jellinek, F., 9.8 Jelonek, S., 8.6 Jenkins, R., 2.3, 4.2.1, 5.2 Jennings, L. D., 4.2.3, 4.2.5, 7.4.4 Jensen, L. H., 2.2, 3.1, 3.4, 5.3 Jensen, T., 2.5.1 Jephcoat, A. P., 2.5.1 Jepsen, O., 4.3.4 Jesson, D. E., 4.3.8 Jiang, S.-S., 2.7 Johann, H. H., 2.3 Johansson, T., 2.3 Johnson, A. L., 4.3.4 Johnson, A. W. S., 4.3.8, 5.4.1, 5.4.2 Johnson, C. A., 9.2.1 Johnson, C. K., 6.1.1, 8.3 Johnson, D., 4.3.4 Johnson, D. E., 4.3.4 Johnson, D. W., 4.3.4 Johnson, G. G. Jr, 2.4.1 Johnson, J. E., 3.4 Johnson, K. H., 4.3.4 Johnson, L. N., 2.2, 3.1, 3.4 Johnson, L. R., 5.3 Johnson, M. W., 2.5.2 Johnson, O., 9.7 Johnson, R. W., 8.2 Johnson, W. R., 4.2.2 Johnston, D. F., 8.7 Johnston, J., 3.2 Jones, A., 3.4 Jones, A. R., 2.6.1 Jones, E. Y., 3.4 Jones, P. M., 4.3.6.2, 5.4.2 Jones, R. C., 7.1.6 Jones, R. M., 9.2.1 Jong, W. F. de, 6.2 Jonson, B., 4.2.2 Jorde, C., 2.6.1 Jorgensen, J. D., 2.5.2, 5.5, 8.6

Jùrgensen, J.-E., 6.4 Jostsons, A., 4.3.7 Jouffrey, B., 4.3.4 Joy, D. C., 4.2.3, 4.3.4 Jucha, A., 7.1.6 Jurnak, F., 3.1 Kaat, E. de, 5.3 Kabra, V. K., 9.2.1 Kabsch, W., 3.4 Kaesberg, P., 2.6.1 Kaesberg, P. J., 2.6.1 Kafadar, K., 8.5 Kahn, R., 2.2, 3.4, 7.1.6 Kahovec, L., 2.6.1 Kainuma, Y., 8.8 Kaiser, A., 7.1.7 Kaiser, W., 4.4.2 Kajantie, K., 7.4.3 Kakinoki, J., 9.2.1 Kakudo, M., 4.3.5 Kakuta, N., 4.3.3 Kalata, K., 7.1.6 Kalenik, J., 3.1 Kalinin, Y. G., 4.2.1 Kalman, Z. H., 2.5.1, 5.3, 9.2.1 Kalnajs, J., 5.3 Kalus, J., 2.6.1, 2.6.2 Kamada, K., 2.8 Kambe, K., 4.3.4, 4.3.7, 4.3.8 Kaminaga, U., 7.4.4 Kamino, N., 4.2.3 Kamiya, K., 7.1.8 Kamiya, N., 7.1.6 Kammerer, O. F., 4.4.2 Kampermann, S. P., 6.4 Kane, P. P., 4.2.4, 4.2.6 Kaneko, F., 9.2.2 Kantor, B., 5.3 Kaplow, R., 2.3, 6.3 Kappler, E., 2.7 Karamura, T., 6.3 Karellas, A., 7.1.6 Karen, V. L., 9.7 Kariuki, B. M., 2.3, 3.1 Karle, I. L., 4.3.3 Karle, J., 4.2.6, 4.3.3 Karlsson, R., 3.1 Karnatak, R. C., 4.3.4 Karplus, M., 3.4 Kasai, N., 4.3.5 Kasman, Ya. A., 4.4.2 Kasper, J. S., 6.2, 9.1, 9.2.1, 9.7 Katayama, C., 6.3 Kato, A., 9.2.2 Kato, H., 7.1.6, 7.1.8 Kato, N., 2.7, 6.3 Katoh, H., 4.2.6 Katoh, T., 7.2 Katsube, Y., 3.4 Kaucic, V., 3.1 Kaufmann, E. N., 4.1 Kavinki, B. M., 8.6 Kawaminami, M., 5.2, 5.3 Kawamura, T., 2.7, 4.2.5, 7.1.7 Kawamura, T. W., 7.1.6 Kawasaki, M., 4.3.8 Kawasaki, T., 4.2.1 Kawata, H., 5.3 Kay, M. I., 6.1.1 Keast, D. J., 3.5

Keeney, R. B., 4.3.4, 7.2 Keijser, Th. H. de, 2.3, 5.2 Keil, P., 4.3.4 Kellar, J. N., 2.3 Keller, H. L., 5.3 Kelley, D. M., 3.4 Kelley, M. H., 4.3.3 Kelly, A., 3.5 Kelly, E. H., 5.2 Kelly, P. M., 4.3.7 Kendall, M. G., 6.1.1 Kendrick, H., 6.2 Kennard, C. H. L., 3.4 Kennard, O., 9.5, 9.6, 9.7 Kephart, J. O., 4.2.1 Kessler, E., 4.2.2 Kessler, E. G., 4.2.2, 5.2 Kessler, E. G. Jr, 4.2.2 Kessler, J., 4.3.3 Ketkar, S. N., 4.3.3 Keve, E. T., 8.5 Khabakhshev, A. G., 7.1.6 Kharitonov, Yu. I., 4.2.4 Kheiker, D. M., 5.3, 7.1.6, 7.5 Khejker, D. M., 5.2 Khomyakov, A. P., 9.2.2 Kihara, H., 4.3.7 Kihn, Y., 4.3.4 Kikuta, S., 2.7, 4.2.5 Killat, U., 4.3.4 Killean, R. C. G., 7.5 Kim, S., 3.4 Kim, S.-H., 3.1 Kim, Y. K., 4.2.2 Kim, Y. S., 8.7 Kimura, M., 4.3.3 Kimura, T., 4.2.3 Kincaid, B. M., 2.2, 4.1, 4.2.3 Kind, R., 9.8 King, H. E. Jr, 2.3 King, H. W., 2.3, 5.2 King, J. S., 6.2 King, M. V., 3.4, 6.1.1 King, Q. A., 4.3.2, 8.8 Kirfel, A., 4.2.6 Kirisits, M. J., 3.1 Kirk, D., 5.3 Kirkham, A. J., 5.3 Kirkland, A., 4.3.8 Kirkpatrick, H., 2.3 Kirkpatrick, H. B., 3.5 Kirkpatrick, P., 4.2.1 Kirste, R. G., 2.6.1, 2.6.2 Kishimoto, S., 7.1.8 Kishino, S., 2.7, 5.3 Kisker, E., 4.3.4 Kissel, L., 4.2.4, 4.2.6 Kiszenick, W., 5.3 Kitagawa, Y., 9.2.2 Kitaigorodskii, A. I., 9.7 Kitaigorodsky, A. I., 9.1, 9.7 Kitajgorodskij, A. I., 9.7 Kitano, T., 2.7 Kittner, R., 5.3 Kjeldgaard, M., 2.6.2 Klapper, H., 1.3 Kleb, R., 2.9 Klein, A. G., 4.4.4 Klein, O., 7.4.3 Klemperer, O., 4.3.4 Kliewer, K., 4.3.4

974

975 s:\ITFC\index.3d (Authors Index)

Klimanek, P., 4.4.2 Kloos, G., 2.3 Kloot, N. H., 8.4 Klug, A., 4.1 Klug, H. P., 2.3, 3.4, 5.1, 6.2 Knibbeler, C. L. C. M., 7.1.6 Knipping, P., 2.1, 2.2 Knoll, W., 2.6.2 Knop, W., 2.6.2 Knop, W. E., 1.4 Knox, J. R., 3.4 Ko, T.-S., 3.4 Kobayakawa, M., 4.2.1 Kobayashi, J., 5.3 Kobayashi, K., 4.2.6, 4.3.8 Kobayashi, M., 9.2.2 Kobayashi, T., 4.3.8, 7.2 Kobayashi, Y., 4.2.6 Koch, A., 7.1.6 Koch, B., 4.2.4 Koch, E., 1.1, 1.2, 1.3, 9.1 Koch, E. E., 4.2.1 Koch, M., 4.4.2 Koch, M. H. J., 2.6.1, 2.6.2 Koch, M. J. H., 7.1.6 Koehler, W. C., 9.8 Koester, L., 4.4.4 Kogan, V. A., 5.2 Kogiso, M., 4.3.7, 5.4.2 Koh, F., 6.3 Kohl, D. A., 4.3.3 Kohl, H., 4.3.2 Kohler, H., 2.3, 7.4.2 Kohler, T. R., 7.1.4 Kohn, W., 4.2.6, 8.7 Kohra, K., 2.2, 2.7, 4.2.3, 4.2.5 Koidl, P., 4.3.4 Koike, H., 4.3.8 Kolpakov, A. V., 4.1 Komarov, F. F., 4.2.5 Komem, Y., 5.3 Komoda, T., 4.3.8 Komura, Y., 9.2.1 Konaka, S., 4.3.3 Kondrashkina, E. A., 5.3 Konnert, J. H., 3.1, 8.3 Kopfmann, G., 6.3 Kopp, M., 7.1.6 Kopp, M. K., 7.3 Koptsik, V. A., 1.4, 9.8 Kordes, E., 9.3 Korekawa, M., 9.8 Koritsanszky, T., 8.7 Korneev, D. A., 4.4.2 Korolev, V. D., 4.2.1 KorytaÂr, D., 5.3 Koshiji, N., 5.3 Kossel, W., 5.3 Kostarev, A. L., 4.2.3 Kosten, K., 3.4 Kostorz, G., 2.6.2 Kostroun, V. O., 2.7 Kosugi, N., 4.3.4 Kottke, T., 3.4 Kovalchuk, M. V., 5.3 Kovev, E. K., 5.3 Kowalczyk, R., 5.3 Kowalski, M., 9.2.2 Koyama, K., 7.1.6 Kozaki, S., 2.3, 4.2.1, 4.2.6 Kraft, S., 4.2.2

AUTHOR INDEX Krahl, D., 4.3.4, 4.3.7, 7.2 Kraimer, M. R., 7.1.6 Kramers, H. A., 4.2.1 Kranold, R., 2.6.1 Kratky, C., 3.4 Kratky, O., 2.6.1, 2.6.2 Krause, M. O., 6.3 Krauss, M., 8.7 Krec, K., 7.4.2 Kreinik, S., 7.1.7 Kretschmer, R.-G., 9.2.2 Krigbaum, W. R., 2.6.1 Krijgsman, P. C. J., 2.6.2 Krinari, G., 4.3.5 Krinary, G. A., 4.3.5 Krishna, P., 9.2.1, 9.2.2 Krivanek, O. L., 4.3.4, 4.3.7, 4.3.8, 7.2, 8.8 KroÈber, R., 2.6.1 Kroeger, K. S., 3.4 KroÈger, E. Z., 4.3.4 Kroll, N. M., 4.2.2 Kronig, R. de L., 4.2.3 Kroon, J., 3.1 Kruger, E., 4.4.2 Kruit, P., 4.3.4 Krumpolc, M., 2.6.2 Kshevetsky, S. A., 5.3 Kuban, R.-J., 9.2.2 Kubena, J., 2.9, 5.3 Kucharczyk, D., 5.3, 9.8 Kuchitsu, K., 9.2.2 Kuczkowski, R. L., 9.5, 9.6 Kudo, S., 5.3 Kudriashov, V. A., 4.4.2 Kuetgens, U., 4.2.2 Kugasov, A. G., 4.4.2 KuÈgler, F. R., 2.6.1 Kuh, E., 8.2, 8.5 KuÈhl, W., 2.7 KuÈhlbrandt, W., 4.3.7 Kuhn, K., 4.2.1 Kuhs, W. F., 6.1.1 Kujawa, S., 7.2 Kulda, J., 4.4.2 Kulenkampff, H., 4.2.1 Kulipanov, G. N., 4.2.1 Kulpe, S., 3.4 Kumachov, M. A., 4.2.1 Kumada, J., 7.1.6 Kumakov, M. A., 4.2.5 Kumaraswamy, S., 3.4 Kumosinski, T. F., 2.6.1 KuÈndig, W., 4.1 Kundrot, C. E., 3.2, 3.4 Kuntz, I. D. Jr, 3.4 Kunz, A. B., 4.3.4 Kunz, C., 4.1, 4.2.1, 4.3.4 Kunze, G., 2.3 KuÈppers, H., 5.3 KuÈppers, J., 4.1 Kupriyanov, M. F., 5.2 Kurbatov, B. A., 5.3 Kurittu, J., 7.4.2 Kuriyama, M., 2.7, 7.1.7 Kuriyama, T., 7.1.7 Kuriyan, J., 3.4 Kurki-Suonio, K., 6.1.1 Kuroda, H., 4.2.3, 4.3.4 Kuroda, K., 2.8 Kuroiwa, T., 8.8

Kurz, R., 7.3 Kusev, S. V., 4.2.1 KuÈster, A., 3.4 Kutschabsky, L., 9.2.2 Kutzler, F. W., 4.2.3 Kuyatt, C. E., 4.2.2, 4.3.4 Kuz'min, R. N., 4.1, 7.4.3 Kuznetsov, P. I., 6.1.1 Ê ., 5.3 Kvick, A Kwong, P. D., 3.2 Laan, G. van der, 4.3.4 Laban, G., 9.2.2 Labergerie, D., 4.2.5 Labzowsky, L., 4.2.2 Laclare, J. L., 4.2.1 Ladd, M. F. C., 3.1 Ladell, J., 2.3, 5.2 Ladner, J. E., 3.1 Lafferty, W. J., 9.5, 9.6 Lagasse, A., 3.5 Laggner, P., 2.6.1 Lagomarsino, S., 2.8 Laguitton, D., 5.2 LaÈhteenmaÈki, I., 2.5.1 Laine, E., 2.5.1 Lairson, B. M., 2.2 Lambert, N., 2.6.1 Lamoreaux, R. D., 7.1.6 Lampton, M., 7.1.6 Landau, L., 4.3.4 Lander, G., 4.4.1 Landre, J. K., 2.7 Lang, A. R., 2.3, 2.7, 5.3 Lang, W., 4.2.2 Lange, B. A., 3.4 Lange, G., 3.4 Langer, J. A., 2.6.2 Langford, J. I., 2.3, 5.2, 6.2, 7.1.2 Langridge, R., 2.6.1 Lanz, H. Jr, 3.2 Lapington, J. S., 7.1.6 La Placa, S. J., 8.7 LaRock, J. G., 4.4.2 Larsen, E. S. Jr, 3.3 Larsen, F. K., 3.4 Larsen, P. K., 4.3.8 Larson, A. C., 3.4, 8.7 Larson, B. C., 5.3 Lartigue, C., 4.4.2 Laue, M. von, 2.1, 2.2 Lauer, R., 4.2.2, 5.3 Laugier, J., 3.4 Laurie, V. W., 9.5, 9.6 Laves, F., 9.1 Lawrance, J. L., 2.7 Lea, K., 4.2.1 Lea, K. R., 4.2.6 Leapman, R. D., 4.2.3, 4.3.4 Lebech, B., 2.5.2, 4.3.7, 8.8 Leber, M. L., 4.3.7 Leboucher, P., 7.1.6 Lebugle, A., 4.2.2 Leciejewicz, J., 2.5.2 Leduc, M., 4.4.2 Lee, B., 6.3 Lee, J. S., 4.3.3 Lee, P., 4.2.4, 4.2.6 Lee, P. A., 4.1, 4.2.3 Lefaucheux, F., 3.1

LeGalley, D. P., 2.3 Legrand, E., 4.4.2 Lehmann, A., 5.3 Lehmann, M. S., 2.3, 3.4, 7.1.3 Lehmpfuhl, G., 4.3.7, 4.3.8, 8.8 Leifer, K., 4.4.2 Leising, G., 4.3.4 Lele, S., 9.2.1 Lemonnier, M., 2.2, 7.1.6 Lengeler, B., 4.2.3, 4.2.6 Lenglet, M., 4.2.3 Leon, R., 4.2.5 Leonardsen, E., 9.2.2 Leopold, H., 2.6.1 LePage, Y., 1.3, 5.4.1 Le Peltier, F., 4.2.3 Lerche, M., 5.3 Lereboures, B., 4.2.3 Leroux, J., 4.2.4 LeszczynÂski, M., 3.4, 5.3 Leung, P. C., 8.7 Levi, A., 7.1.4 Levine, I. L., 8.7 Levine, M. R., 6.3 Levinger, J. S., 4.2.4 Levitt, M., 8.3 Levy, H. A., 3.4, 5.3, 6.1.1, 8.3 LeÂvy, P., 6.1.1 Lewis, M. H., 3.5 Lewis, O., 4.2.1 Lewis, R., 7.1.6 Lewis, S. J., 3.4 Lewit-Bentley, A., 3.1 Ley, L., 4.2.2 Li, F. H., 4.3.8 Li, J. Q., 4.3.8 Li, Q., 4.2.1 Li, Y., 7.1.6 Liang, K. S., 2.3 Liberman, D., 4.2.4, 4.2.6 Liberman, D. A., 4.2.6 Lichte, H., 4.3.8 Lider, V. V., 5.3 Lidin, S., 9.7 Liebhafsky, H. A., 4.2.4 Liesen, D., 4.2.2 Lietzke, R., 2.6.2 Lifchitz, E., 4.3.4 Lifshitz, R., 9.8 Lim, G., 2.3 Lim, G. S., 5.2, 5.3 Lima-de-Faria, J., 9.1 Liminga, R., 5.3 Lindau, I., 4.2.4, 7.4.4 Lindegaard-Andersen, A., 2.5.1 Lindemann, R., 2.3 Linderstrom-Lang, K., 3.2 Lindgren, I., 4.2.2 Lindhard, J., 4.3.4 Lindley, P., 3.4 Lindley, P. F., 3.1, 3.2, 3.4 Lindner, P., 2.6.2 Lindner, T., 4.3.4 Lindroth, E., 4.2.2 Lindstrom, R. M., 4.4.2 Lippman, R., 3.4 Lipps, F. W., 7.4.3 Lipscomb, W. N., 6.1.1 Lipson, H., 2.2, 2.3, 5.2, 5.3, 6.2, 9.8 Lischka, K., 2.9

975

976 s:\ITFC\index.3d (Authors Index)

Lisher, E. J., 4.4.5 Lisoivan, V. I., 5.3 Liss, K.-D., 4.4.2 Litrenta, T., 4.4.2 Liu, H., 7.1.6 Liu, J. W., 4.3.3 Liu, L., 4.3.8, 7.2 Livesey, A. K., 8.2 Livingood, J. J., 4.3.4 Lloyd, K. H., 5.3 Lobashov, V. M., 4.4.2 LoÈchner, U., 3.4 Loeb, A., 9.1 Long, D. C., 7.1.6 Long, N., 4.3.8 Lonsdale, K., 2.2, 5.3, 6.2 Lontie, R., 2.6.1 Looijenga-Vos, A., 9.8 Loopstra, B. O., 2.4.2 Lorber, B., 3.1 Lorenz, G., 3.4 Lotsch, H., 4.2.6 Lotz, B., 3.5 LoueÈr, D., 2.3, 5.2, 8.6 Lourie, B., 2.2 Lovas, F. J., 9.5, 9.6 Love, G., 4.2.1 Lovesey, S. W., 4.1, 6.1.2, 7.4.3, 8.7 Lovey, F. C., 4.3.8 Low, B. W., 3.2 Lowde, R. D., 2.5.2, 4.4.2, 6.4 Lowe, B. M., 2.3 Lowenthal, S., 7.1.6 Lowitzsch, K., 2.3 Lowrance, J. L., 7.1.6 Lucas, W., 4.2.2, 5.3 Lucht, M., 5.3 Luft, J., 3.1 Luft, J. R., 3.1 Luger, P., 3.4, 5.3 èukaszewicz, K., 5.3 Lukehart, C. M., 2.5.2 Lum, G. K., 4.2.2 Lumb, D. H., 7.1.6 Lund, L., 4.2.1 Luo, M., 3.4 Lushchikov, V. I., 4.4.2 Lutterotti, L., 5.2 Lutts, A., 5.3 Lutts, A. H., 5.3 Lutz, H. D., 2.3 Luzzati, V., 2.6.1, 2.6.2 Lynch, D. F., 4.3.6.1, 4.3.8 Lynch, F. J., 7.3 Lynch, J., 4.2.3, 4.3.8 Lynn, J. E., 4.4.4 Lytle, F. W., 4.2.3, 4.3.4 Lyutzau, V. G., 5.3 Ma, H., 4.3.4 Ma, Y., 4.2.3, 4.3.7, 8.8 Maaskamp, H. J., 7.1.6 MacGillavry, C. H., 3.1, 4.2.4, 4.3.1, 8.8 Machado, W. G., 2.7 Machin, K. J., 3.4 Machin, P. A., 3.4 Machlan, L. A., 5.3 Mack, B., 2.4.2 Mack, B. J., 4.4.2

AUTHOR INDEX Mack, M., 2.3, 5.2, 7.5 Mackay, A. L., 1.4, 3.4, 6.2 Mackay, K. J. H., 5.3 Mackenzie, J. K., 6.1.1, 7.5 Macrae, C. F., 9.7 Madar, R., 4.4.2 Madariaga, G., 9.8 Madsen, I. C., 2.3 Maeda, H., 4.2.3 Maeder, D. L., 3.1 Magerl, A., 4.4.2 Magorrian, B. G., 2.7 Maher, D., 4.2.3 Maher, D. M., 4.3.4 Mai, Z.-H., 2.7 Maier-Leibnitz, H., 4.4.2 Main, P., 5.3 Mair, S. L., 4.2.6, 6.1.1 Maistrelli, P., 5.2 Majkrzak, C. F., 2.9, 4.4.2 Makarova, I. P., 3.1 Makepeace, A. P. W., 2.7 Maki, A. G., 9.5, 9.6 Maki, M., 5.3 Makita, Y., 4.3.8 MakovickyÂ, E., 9.2.2 Makowski, I., 3.4 Malgrange, C., 2.8, 7.3 Malik, S. S., 2.9 Malina, R. F., 7.1.6 Malinowski, A., 2.6.2 Malinowski, M., 3.4, 5.3 Mallett, J. H., 4.2.3, 4.2.4 Malmros, G., 2.3, 8.6 Malzfeldt, W., 4.2.6 Mamy, J., 4.3.5 Mana, G., 4.2.2 Mann, J. B., 4.2.4, 4.3.1, 4.3.3, 6.1.1, 7.4.3 Mannami, M., 4.3.8 Manne, R., 4.2.1 Manninen, S., 7.4.3 Manoubi, T., 4.3.4 Mantler, M., 5.2 Manzke, R., 4.3.4 Mao, H. K., 2.5.1 Marchant, J. C. J., 7.2 Marcus, M., 4.2.3 Mardin, K. V., 6.1.1 Mardix, S., 2.7 MareÂschal, J., 4.4.2 Marezio, M., 3.1 Marks, L., 4.3.8 Marmeggi, J. C., 2.5.2 Marr, G. V., 4.2.1 Marsh, D. J., 3.4 Marsh, P., 5.3 Marsh, R. E., 5.3, 8.3 Marshall, R. C., 9.2.1 Marshall, W., 4.1, 8.7 Martens, G., 4.2.3 MaÊrtensson, N., 4.2.2 Marthinsen, K., 4.3.7, 8.8 Martin, C., 7.1.6 Martinez-Carrera, S., 10 Martini, M., 4.2.3 Maruani, J., 8.7 Maruyama, E., 7.1.6 Maruyama, H., 2.7, 7.1.6, 7.1.7 Maruyama, X. K., 4.2.1 Marvin, D. A., 2.6.1

Marx, D., 4.4.2 Marxreiter, J., 3.4 Marzolf, J. G., 4.2.2, 5.3 Masaki, N., 2.8 Masciocchi, N., 2.3, 8.6 Maslen, E. N., 4.2.6, 6.1.1, 6.3 Maslen, V. M., 4.3.4 Mason, B., 3.2 Mason, I. M., 7.1.6 Massa, L., 8.7 Massalski, T. B., 2.3, 4.3.5 Massey, H. S. W., 4.3.3, 4.3.4 Masuda, K., 4.2.1 Materlik, G., 2.2, 2.7, 4.2.3, 4.2.6 Mateu, L., 2.6.2 Mathews, F. S. 3.4, 6.3 Mathias, H. G., 3.4 Mathieson, A. McL., 7.4.4 Matsuhata, H., 4.3.7, 8.8 Matsui, J., 2.7, 7.1.7 Matsumoto, T., 9.1 Matsumura, S., 8.8 Matsunaga, K., 5.3 Matsushima, I., 7.1.6 Matsushita, T., 2.2, 2.7, 4.2.3, 4.2.5, 7.1.8, 7.4.4 Matsuura, U., 9.2.2 Matthewman, J. C., 8.6 Matthews, B. W., 3.1, 3.2, 3.4 Matthews, D., 2.2 Matthews, G. D., 4.2.2 Matzfeld, W., 4.2.3 Mauer, F. A., 5.2, 5.3 Maurice, J. L., 4.3.4 Mawhorter, R. J., 4.3.3 Max, N., 3.4 May, C., 4.4.2 May, R. P., 2.6.2 May, W., 2.5.1 Mayer, J., 4.3.7, 8.8 Mayer, J. W., 4.1 Mayers, D. F., 4.3.4 Mazzarella, L., 3.1 McCallum, B., 4.3.8 McClelland, J. J., 4.3.3 McConnell, C. H., 3.5 McConnell, J. D. C., 9.8 McCourt, M. P., 4.3.8 McCrory, L. R., 4.2.1 McCusker, L., 2.3, 8.6 McDermott, G., 3.1 McKeever, B., 3.4 McKenney, A., 8.1 McKie, C., 2.2 McKie, D., 2.2 McKinstry, H. A., 3.4 McLarnan, T. J., 9.2.2 McLaughlin, P. J., 3.4 McLean, A. D., 4.3.3, 6.1.1 McLean, R. S., 4.3.3 McMahon, M., 4.2.5 McMahon, M. I., 2.3, 2.5.1 McMann, R. H., 7.1.7 McMaster, R. C., 7.1.7 McMaster, W. H., 4.2.3, 4.2.4 McMeeking, R., 2.3 McMullan, D., 4.3.4 McMullan, R. K., 6.4 McMurdie, H. F., 3.4 McNeely, J. B., 5.3

McNeill, K. M., 7.1.6 McPherson, A., 3.1, 3.4 McSweeney, S., 2.2 Meardon, B. H., 4.4.2 Medarde, M., 4.4.2 Mees, C. E. K., 7.1.1 Megaw, H. D., 5.3 Mei, R., 4.2.3 Meier, B. H., 5.5 Meier, F., 2.7 Meier, J., 4.4.4 Meier, P. F., 4.1 Meieran, E. S., 2.7 Meijer, G., 9.2.2 Meisheng, H., 4.3.8 Meister, H., 4.4.2 Melgaard, D. K., 2.4.1 Melkanov, M. A., 4.3.3 Melle, W., 5.3 Mellema, J. E., 2.6.2 Mellini, M., 9.2.2 Melmore, S., 9.1 Mendelsohn, L. B., 4.3.3, 7.4.3 Mendelssohn, M. J., 5.3 Menke, H., 2.6.1 Menotti, A. H., 4.4.2 Menter, J. W., 4.3.8 Menzel, M., 7.2 Meriel, P., 2.6.2, 9.8 MeÂring, J., 4.3.5 Merisalo, M., 2.3, 6.1.1, 7.4.2 Merlini, A. E., 5.3 Merlino, S., 9.2.2 Merritt, E. A., 7.1.6 Merritt, F. C., 7.3 Merwin, H. E., 3.3 Merz, K. M., 9.2.1 Merzbacher, E., 2.9 Mesquita, A. H. G. de, 9.2.1 Messerschmidt, A., 3.4, 7.1.6 Metcalf, P., 7.1.6 Metchnik, V., 4.2.1 Metherell, A. J. F., 4.3.4 Metoki, N., 2.9 Metzger, T. H., 4.3.7, 8.8 Meuth, H., 4.2.3 Meyer, A. J., 5.3 Meyer, C. E., 4.3.7 Meyer, G., 2.4.1 Meyer, H., 4.3.3 Meyer-Ilse, W., 7.1.6 Meyrowitz, R., 3.2, 3.3 Meysner, L., 5.3 Mezei, F., 4.4.2 Mezey, P. G., 9.7 Michalowicz, A., 2.8 Midgley, H. G., 3.2 Midgley, P. A., 4.3.7, 8.8 Mighell, A. D., 2.4.1, 5.2, 9.7 Mihama, K., 2.4.1 Mikhailyuk, I. P., 5.3 Mikhalchenko, V. P., 5.3 Mikke, K., 2.5.2 Mikol, V., 3.1 Milch, J. R., 7.1.6 Mildner, D. F. R., 4.4.2, 7.3 Miles, M. J., 2.6.1 Milledge, H. J., 4.2.4, 5.3 Miller, A., 2.6.2 Miller, B., 4.3.3 Miller, B. R., 4.3.3

976

977 s:\ITFC\index.3d (Authors Index)

Miller, K. J., 8.7 Miller, P. H., 4.4.2 Millhouse, A. H., 7.4.3 Million, G., 7.1.6 Mills, D. L., 4.3.4 Milne, A. D., 2.7 Minakawa, N., 2.8 Minato, I., 2.3, 3.4, 7.1.3 Miner, B. A., 4.3.4 Mingos, D. M. P., 2.3 Minkowski, M., 9.1 Misemer, D. K., 4.2.3 Mises, R. von, 6.1.1 Misselwitz, R., 2.6.1 Mitchell, E. M., 9.7 Mitchell, J. P., 7.1.7 Mitchell, P. W., 4.4.3 Mitchell, R. S., 9.2.1 Mitra, G. B., 5.2 Mitsunaga, T., 4.2.3 Mittelbach, P., 2.6.1 Mittemeijer, E. J., 2.3 Miyahara, J., 7.1.6, 7.1.8, 7.2 Miyake, S., 9.2.1 Miyamoto, M., 9.2.2 Miyata, T., 3.4 Miyoshi, A., 2.7 Mizusaki, T., 4.3.7 Mizutani, I., 5.3 Mochiki, K., 7.1.6 Modrzejewski, A., 5.3 Moelo, Y., 9.2.2 Moews, P. C., 3.4 Moffat, K., 2.2, 3.4 Mogami, K., 9.2.2 Mohr, P. J., 4.2.2, 5.3 Moliterni, A. G., 8.6 MoÈllenstedt, G., 4.3.8 Monaco, H. L., 3.1 Montenegro, E. C., 4.2.4 Moodie, A. F., 4.3.1, 4.3.6.1, 4.3.8 Moody, P. C. E., 3.4 Mook, H. A., 4.4.2, 8.7 Moon, K. J., 2.7 Mooney, P. E., 4.3.7, 4.3.8 Mooney, T., 4.2.2 Mooney, T. M., 4.2.2 Moore, J. K., 7.1.7 Moore, L. J., 5.3 Moore, M., 2.7 Moore, P. B., 2.6.1, 2.6.2 Moran, M. J., 4.2.1 Moras, D., 3.4 Morawe, C., 2.9 Morchan, V. D., 7.1.6 Moreno, A., 3.1 Moret, R., 3.4 Moretto, R., 3.4 Morgan, B. L., 7.1.6 Morgan, C. B., 7.3 Morgan, D. V., 7.1.6 Morgenroth, W., 4.2.6 Mori, H., 9.2.2 Mori, N., 4.3.7, 4.3.8, 7.2 Moriguchi, S., 7.2 Morikawa, K., 4.3.7 Moring-Claesson, O., 2.6.1 Morosin, B., 3.4 Morris, I. L., 9.1 Morris, M. C., 2.3, 3.4

AUTHOR INDEX Morris, P. L., 3.5 Morris, R. E., 2.3 Morris, V. J., 2.6.1 Morris, W. G., 5.3 Morrison, G. R., 7.2 Morse, P. M., 4.3.3 Mort, K., 4.2.3 Mortensen, K., 2.6.2 Mortier, W. J., 2.3 Mory, C., 4.3.4 Moss, G., 8.7 Mosteller, M., 8.2 Motherwell, W. D. S., 9.5, 9.6 Motohashi, H., 2.8 Mott, N. F., 4.3.4 Mott, N. I., 4.3.3 Moudy, L. A., 5.3 Moulai, J., 7.1.6 Mountain, R. W., 7.1.6 Mount®eld, M. J., 3.5 Mourou, X., 4.2.1 Moy, J.-P., 7.1.6 Moyer, N. E., 5.3 MuÈcklich, F., 4.4.2 Mughabghab, S. F., 4.4.4 Mughier, J., 3.5 MuÈller, A., 4.2.1 Muller, J., 3.4 MuÈller, J. E., 4.2.3, 4.3.4 MuÈller, J. J., 2.6.1 MuÈller, K., 2.6.1 MuÈller, U., 9.2.2 MuÈller, W., 7.1.2 MuÈller-Heinzerling, T., 4.3.4 Munshi, S. K., 3.4 Muralt, P., 9.8 Muramatsu, T., 4.3.3 Murata, T., 4.2.3 Murray, W., 8.3 Murray-Rust, P., 9.6 Murshudov, G. N., 3.4 Mursic, Z., 4.4.2 Murthy, M. R. N., 3.4 Musil, F. J., 5.2, 5.3 Mustre de Leon, J., 4.2.3 Myklebust, R. L., 7.1.4 Myles, D., 3.4 Naday, I., 7.1.6, 7.3 Naday, Y., 4.3.4 Nagakura, S., 4.3.8 Nagel, D. J., 4.2.1 Naiki, T., 4.3.8 Najmudin, S., 3.4 Nakagawa, A., 7.1.8 Nakajima, K., 5.3 Nakajima, T., 5.2 Nakamura, T., 5.3 Nakamura, Y., 4.3.8 Nakano, Y., 4.2.5, 6.3 Nakayama, K., 2.7, 4.2.2 Nanni, L. F., 5.3 Nannichi, Y., 5.3 Napier, J. G., 4.3.7 Narayana, S. V. L., 3.4 Nash, S., 8.1 Nastasi, M., 2.9 Nathans, R., 4.4.2, 4.4.3, 6.1.2 Natoli, C. R., 4.2.3 Naukkarinen, K., 2.7 Nave, C., 2.6.1, 3.4

Navrotsky, A., 3.4 Nazarenko, V. A., 4.4.2 Necker, G., 8.8 Neder, R. B., 3.4 Neilsen, C., 7.1.6 Nelder, J. A., 9.7 Nellist, P., 4.3.8 Nelmes, R. J., 2.3, 2.5.1 Nelms, A. T., 4.2.6 Nelson, J. B., 5.2 Nemiroff, M., 5.3 Nesper, R., 9.1 Nesterova, Ya. M., 9.2.2 NeubuÈser, J., 1.4, 9.8 Neuling, H. W., 2.5.1 Nevot, L., 2.9 Newbury, D. E., 7.1.4 Newkirk, J. B., 2.7 Newman, B. A., 5.3 Newsam, J. M., 2.3 Newville, M., 4.2.3 Ng, E. W., 4.3.3 Nichols, M. C., 2.3 Nicholson, J. R. S., 2.7 Nicholson, R. B., 3.5, 4.3.6.2, 4.3.8, 5.4.1 Nicholson, W. L., 7.5, 8.2, 8.4, 8.5 Nicol, J. M., 2.3 Niculescu, V., 4.4.2 Nielsen, C., 2.2, 3.4 Nielsen, M., 2.3, 4.4.3, 7.1.3 Nielson, C., 7.1.6 Nielson, M., 4.4.3 Nieman, H. F., 3.4 Niemann, W., 4.2.3, 4.2.6 Nierhaus, K. H., 2.6.2 Niggli, P., 9.1 Niimura, N., 2.5.1 Niinikoski, T. O., 2.6.2 Niklewski, T., 5.3 Nikolin, B. I., 9.2.2 Ninio, J., 2.6.1 Nishina, Y., 7.4.3 Nishiyama, Z., 9.2.1 Nissenbaum, J., 7.1.4 Nittono, O., 2.7 Nixon, W. C., 4.2.1 Nomura, K., 9.2.2 Nomura, M., 4.2.3 Nonaka, Y., 7.1.6 Nonoyama, M., 5.4.2 Nordfors, B., 4.2.3 Norman, D., 4.2.3 Normand, J.-M., 6.1.1 North, A. C. T., 3.4, 6.3 Northwood, D. O., 9.2.2 Norton, T. J., 7.1.6 Nothnagel, A., 2.6.1 NovaÂk, C., 9.2.2 Nowacki, W., 9.1, 9.7 Nowotny, V., 2.6.2 Nugent, K. A., 4.2.5 Numerov, B. V., 4.3.3 Nunes, A. C., 4.4.2 Nunez, V., 2.9, 4.4.2 Nurmela, M., 2.3, 8.6 Nyholm, R., 4.2.2 Oba, K., 2.7, 7.1.6 Obaidur, R. M., 5.3

Obashi, M., 4.2.3 OberthuÈr, R. C., 2.6.1, 2.6.2 O'Connor, B., 8.6 Ogawa, T., 4.2.6 Ogilvie, R. E., 2.3, 5.3 Oguso, C., 7.1.6 Ohama, N., 5.3 O'Hara, S., 2.7 Ohkawa, T., 4.2.6 Ohlendorf, D. H., 7.1.6 Ohlidal, I., 2.9 Ohshima, K.-I., 3.4 Ohta, T., 4.2.3 Ohtaka, K., 4.2.4 Ohtsuki, Y. H., 4.2.4 Oikawa, T., 4.3.7, 4.3.8, 7.2 Okada, Y., 5.1, 5.3 Okamoto, S., 2.9 Okamura, Y., 7.1.6 Okazaki, A., 3.4, 5.2, 5.3 O'Keefe, M. A., 4.3.1, 4.3.2, 4.3.8, 6.1.1 O'Keeffe, M., 9.1 Oki, K., 8.8 O'Mara, D., 7.1.6 Okorokov, A. I., 4.4.2 Okude, S., 7.1.6 Okuno, H., 7.3 Old®eld, T. J., 3.1 Olejnik, S., 5.3 Olekhnovich, A. I., 6.4 Olekhnovich, N. M., 6.4 Oliver, J. H., 6.3 Olkha, G. S., 7.5 Olsen, A., 4.3.7, 4.3.8, 5.4.2 Olsen, J. S., 2.5.1, 5.2, 5.3 Olthoff-MuÈnter, K., 2.7 Omote, K., 2.3 Onitsuka, H., 5.3 Oosterkamp, P. W. J., Oosterkamp, W. J., 4.2.1 Op de Beeck, M., 4.3.8 Opechowski, W., 1.4, 9.8 Oppenheimer, I., 4.2.6 Orchowski, A., 4.3.8 Orlandi, P., 9.2.2 Orpen, A. G., 9.5, 9.6 Ortale, C., 7.1.6 Ortiz, C., 2.3 Oshima, K., 4.2.5 Ostapovich, M. V., 5.3 Ostrouchov, S., 8.1 Ostrowski, G., 2.9 Otten, E. W., 4.4.2 Ottewanger, H., 7.1.6 Otto, A., 4.3.4 Otto, J. W., 2.5.1 éverbù, I., 4.2.3, 4.2.4 Ovitt, T. W., 7.1.6 Oyanagi, H., 4.2.3, 4.2.5 Ozawa, S., 4.3.8 Ozawa, T., 9.2.2 Paakkari, T., 7.4.3 Pabst, A., 9.2.2 Pace, S., 5.3 Paciorek, W. A., 7.5, 9.8 Padawer, G. ,E., 5.3 Padmaya, N., 9.7 Pahl, R., 4.2.5 Palache, Ch., 9.8

977

978 s:\ITFC\index.3d (Authors Index)

Palenzona, A., 9.2.2 Palmer, R. A., 3.1 Palmer, S. B., 2.8 Panchenko, J. M., 5.2 Panchenko, Yu. M., 7.5 Pandey, D., 9.2.1 Pang, G., 5.3 Pangborn, W. A., 3.1 Pannhorst, V., 2.4.1 Panson, A. Y., 4.3.4 Pantos, E., 4.2.3 Paoletti, A., 2.3, 2.4.2, 4.4.3, 8.6 Paolini, F. R., 2.3 Papatzacos, P., 4.2.3 Papiz, M. Z., 2.3, 3.4 Parak, F., 3.4 Paretzkin, B., 3.4 Parfait, J., 2.6.1 Parfait, R., 2.6.2 Parker, N. W., 4.3.4 Parmon, V. S., 2.4.1 Parratt, L. G., 2.3, 4.2.2, 4.2.3 Parrish, W., 2.3, 2.5.1, 5.2, 5.3, 7.1.2, 7.1.3, 7.1.4, 7.5, 8.6 Parsons, D. F., 4.1 PartheÂ, E., 2.3 Pasemann, M., 4.3.8 Pasero, M., 9.2.2 Pashley, D. W., 3.5, 4.3.6.2, 4.3.8, 5.4.1 Passell, L., 4.4.2 Patel, N. B., 5.3 Patel, S., 3.1 Paterson, M. S., 9.2.1 Patt, B. E., 7.1.6 Patterson, A. L., 9.2.1, 9.7 Pattison, P., 7.4.3 PaÈtzold, H., 4.3.7 Paul, R. L., 4.4.2 Pauling, L., 9.2.2, 9.3 Paulus, M., 3.5 Pavlishin, V. I., 9.2.2 Pavlov, M. Yu., 2.6.2 Pawley, G. S., 2.3, 5.2, 6.1.1, 6.3, 8.6, 8.7 Peacock, M., 9.8 Pearce-Percy, H. T., 4.3.4 Pearl, L. H., 3.1 Pearlman, S., 2.3 Pearson, G. L., 5.3 Pearson, W. B., 9.3 Pease, D. M., 4.2.3 Pedersen, J. S., 2.6.2, 2.9 Peele, A. G., 4.2.5 Peerdeman, A. F., 4.2.6 Peerdeman, F., 5.2 Peierls, R. E., 4.2.6 Peiser, H. S., 2.3, 5.1 Peisert, A., 7.1.6 Peisl, J., 7.4.2 Peixoto, E. M. A., 4.3.3 Peltonen, H., 6.1.1 Pendry, J. B., 4.2.3, 4.3.4, 4.3.6.2 Penfold, J., 2.6.2, 2.9, 4.4.2 Peng, L.-M., 4.3.1, 4.3.2, 8.8 Pennartz, P. U., 3.4 Penner-Hahn, J. E., 4.2.3, 7.1.5 Penneycook, S. J., 3.5 Pennock, G. M., 3.5 Pennycook, S. J., 4.3.8

AUTHOR INDEX Perchiazzi, N., 9.2.2 Perez, J. P., 4.3.4 Perez-Mato, J. M., 9.8 Perez-Mendez, V., 2.2 Perfettii, P., 4.2.3 Perlman, M. L., 4.2.3 Pernot, P., 7.1.6 Perrier de la Bathie, R., 2.8, 4.4.2 Perrin, F., 6.1.1 Perry, J. A., 9.1 Persson, E., 4.2.6 Persson, H., 4.2.2 Perutz, M. F., 2.6.2 Peshekhonov, V. D., 7.1.6 Pesonen, A., 2.3 Pessen, H., 2.6.1 Peterson, R. C., 3.4 Petiau, J., 4.2.3, 4.3.4 Petit, M., 7.1.6 Petri, E., 4.3.4 Petricek, V., 9.2.2, 9.8 Petroff, J. F., 2.7, 2.8 Petrova, S. N., 9.2.2 Petsko, G. A., 3.4 Pettersen, R. C., 9.5, 9.6 Petzow, G., 4.4.2 Pfeiffer, H. G., 4.2.4 P®ster, J. C., 5.3 P¯uÈger, J., 4.3.4 P¯ugrath, J., 3.4 P¯ugrath, J. W., 7.1.6 Phan, T., 9.8 Phelps, A. W., 9.2.2 Philipp, H. R., 4.3.4 Philips, J. C., 4.2.6 Phillips, D. C., 2.2, 3.4, 6.3 Phillips, F. C., 3.1 Phillips, G. N. Jr, 3.4 Phillips, W. C., 2.3, 4.2.1, 7.1.6 Phizackerley, R. P., 7.1.6 Photen, M. L., 7.1.7 Piaget, C., 7.1.6 Pick, M. A., 5.3 Pickart, S. J., 4.4.2 Pickford, M. G., 3.4 Picot, D., 3.1 Picraux, S. T., 4.1 Piermarini, G. J., 5.3 Pierron, E. D., 5.3 Piestrup, M. A., 4.2.1 Pietraszko, A., 5.3 Pihl, C. F., 5.3 Pike, E. R., 2.3, 5.2 Piltz, R. O., 2.3 Pilz, I., 2.6.1 Pimentel, C. A., 5.3 Pincus, C. I., 4.2.1 Pinot, M., 2.6.2 Pinsker, Z. G., 2.4.1, 2.7, 4.3.5, 5.3 Pirenne, M. H., 4.2.4 Pirouz, P., 4.3.8 PlancËon, A., 4.3.5 Platzman, P. M., 7.4.3 Plechaty, E. F., 4.2.4 Plies, E., 4.3.4 Plotnikov, V. P., 4.3.5 Plotz, W., 2.9 Plummer, E. W., 4.1 Podlasin, S., 3.4, 5.3

Podolsky, R. J., 7.1.6 Pofahl, E., 5.3 Polack, F., 7.1.6 PolcarovaÂ, M., 5.3 Polidori, G., 8.6 Polizzi, S., 2.3 Pollehn, H. K., 7.1.6 Polyak, M. I., 5.3 Pommerrenig, D. H., 7.1.6 Pongratz, P., 7.4.2 Ponomarev, I. Yu., 4.4.2 Poole, M. W., 4.2.1 Popa, N. C., 7.4.2, 8.6 Popov, A. N., 7.1.6 PopovicÂ, S., 5.2, 5.3 Porat, Z., 3.5 Porod, G., 2.6.1, 2.6.2 Porsev, G. D., 4.4.2 Porteus, I. O., 4.2.3 Posselt, D., 2.6.2 Post, B., 5.3 Post, J. E., 2.3 Potts, H. R., 5.3 Poulos, T. L., 7.1.6 Pound, A., 3.2 Pouxe, J., 7.1.3, 7.1.6 Powell, B. M., 3.4 Powell, C. J., 4.2.2, 4.3.4 Powell, H. R., 2.3 Powers, L. S., 4.2.3 Prager, P. R., 9.2.1 Prandl, W., 3.4 Prasad, B., 9.2.1 Prasad, L., 9.2.1 Pratapa, S., 8.6 Pratt, R. H., 4.2.4, 4.2.6, 7.4.3 Press, W., 6.1.1 Preston, A. R., 8.8 Preston, G. D., 9.8 Preston, K. D., 2.3 Prewitt, C. T., 2.3, 3.4 Price, P. F., 4.2.6 Price, W. J., 7.1.6 Prince, E., 2.3, 4.2.2, 5.1, 5.3, 7.5, 8.1, 8.2, 8.3, 8.4, 8.5, 8.6 Prince, F. C. de, 5.3 Pring, A., 9.2.2 Prins, J. A., 2.6.1 Probst, R., 4.2.2, 5.3 Prout, C. K., 2.3 Proviz, G. I., 7.1.6 Provost, K., 3.1 Przybylska, M., 3.1, 3.4 Ptitsyn, O. B., 2.6.1 Pulay, P., 4.3.3 PuÈrschel, H. V., 2.6.1 Pusey, M., 3.1 Puxley, D. C., 3.4 Pynn, R., 2.9, 4.4.2, 4.4.3 Pyrros, N. P., 2.3 Quayle, J. A., 2.7 Queisser, H.-J., 2.7 Rabe, P., 2.7, 4.2.3, 4.2.6 Rabinovich, D., 2.2, 7.5 Rabukhin, V. B., 3.2 Rachinger, W. A., 2.3 Rackham, G. M., 4.3.6.2, 5.4.2 Radeka, V., 7.3 Rademacher, H.-J., 4.2.2, 5.3

Radi, G., 8.8 Radoslovich, E. W., 9.2.2 Rae, A. D., 8.3 Rae, W. N., 3.2 Raether, H., 4.3.4 Raftery, J., 9.6 Rai, R. S., 9.2.1 Raia, C. A., 3.1 Raiko, V. I., 4.2.1 Raj, K., 4.4.2 Ralph, R. L., 8.3 Ramachandran, G. N., 2.7 Ramakrishnan, V., 2.6.2 Ramakumar, S., 9.7 Ramaseshan, S., 4.2.6, 6.1.3 Ramesh, R., 4.3.7 Ramesh, T. G., 6.1.3 Ramsay, D. A., 9.5, 9.6 Ramsdell, L. S., 9.2.1 Randall, K. H., 9.1 Ranganath, G. S., 6.1.3 Rao, C. N., 4.3.4 Rao, Ch. P., 3.4 Rao, S., 9.1 Raoux, D., 7.1.6 Rask, J. H., 4.3.4 Rasmussen, B. F., 3.4 Rasmussen, S. E., 3.4 Rathie, P. N., 7.5 Rau, W., 4.3.8 Rau, W. D., 4.3.8, 7.2 Rauch, H., 2.7, 4.4.2, 4.4.4 Ravel, B., 4.2.3 Ravn, H. L., 4.2.2 Rayment, I., 3.4 Raynal, J., 4.3.3 Read, M. H., 2.3 Read, W. T., 6.4 Reck, G., 9.2.2 Redinbo, M. R., 3.1 Reed, M., 4.2.1 Reed, R. E., 4.4.2 Reed, S. J. B., 2.3, 4.2.1 Reeke, G. N. J., 5.3 Rees, A. L. G., 2.4.1 Rees, B., 8.7 Rees, D. C., 3.1 Rehr, J. J., 4.2.3 Reichard, T. E., 5.3 Reider, M., 3.4 Reifsnider, K., 2.7 Reilly, J., 3.2 Reim, G., 4.2.2, 5.3 Reimer, L., 4.3.4, 7.2 Reinecke, T., 9.2.2 Reinhardt, A., 9.1 Rem, P. C., 4.4.2 Remaut, G., 3.5 Remenyuk, P. I., 5.3 Remington, S. J., 3.1 Ren, G., 4.3.2 Renault, A., 4.3.8 Renda, G., 7.1.6 Rendle, D. F., 2.3 Rennekamp. R., 4.3.4 Renninger, M., 2.3, 2.7, 5.3 Resouche, E., 4.4.2 Reverchon, F., 3.5 Reynolds, G. T., 7.1.6 Reynolds, R. A., 3.1 Reynolds, R. C., 2.3

978

979 s:\ITFC\index.3d (Authors Index)

Rez, D., 4.3.1, 4.3.2 Rez, P., 4.3.1, 4.3.2, 4.3.4 Rhan, H., 5.3 Ribberfors, R., 7.4.3 Ricci, F. P., 2.3, 2.4.2, 4.4.3, 8.6 Rice, S. B., 4.3.8 Rice-Evans, P., 7.1.6 Richard, J. C., 7.1.6 Richards, F. M., 3.2, 3.4 Richardson, J. W., 8.6 Richardson, M. C., 4.2.1 Richardson, M. C. M., 4.2.5 Richter, D., 4.4.2 Ricker, G. R., 7.1.6 Ridou, C., 5.3 Rieck, C. D., 4.2.2 Riekel, C., 3.1 Ries-Kautt, M., 3.1 Rietveld, H. M., 2.3, 2.4.2, 5.2, 8.2, 8.3, 8.6 Rieubland, J. M., 2.6.2 Rieubland, M., 2.6.2 Riggs, P. J., 4.2.3 Riglet, P., 2.7 Rigoult, J., 6.3 Rijlart, A., 2.6.2 Rijllart, A., 2.6.2 Riley, D. P., 5.2 Rindby, A., 4.2.5 Ringe, D., 3.4 Ringe-Ponzi, D., 3.4 Rink, W. J., 3.4 Rinn, H. W., 2.3 Ripp, R., 3.4 Riquet, J. P., 3.4 Risler, J. L., 3.4 Riste, T., 4.4.2 Ritchie, R. H., 4.3.4 Ritland, H. N., 2.6.1 Ritsko, J. J., 4.3.4 Ritter, R., 4.4.2 Rizkallah, P. J., 3.1 Robert, M. C., 3.1 Roberts, K. J., 2.7, 3.4 Roberts, L. D., 4.4.2 Roberts, P.-H., 6.1.1 Robertson, B. E., 5.3 Robin, J., 4.2.1 Robinson, R. A., 4.4.3 Roche, C. T., 7.3 Rode, A. V., 4.2.5 Rodeau, J.-L., 3.1 Rodenburg, J., 4.3.8 Rodgers, J. R., 9.3, 9.5, 9.6, 9.7 Rodricks, B., 7.1.6 Rodrigues, A. R. D., 2.3, 2.7, 4.2.5 Rodriguez, S., 5.3 Roe, A. L., 7.1.5 Roe, S. M., 3.4 Roehrig, H., 7.1.6 Roetti, C., 4.4.5, 6.1.1, 6.1.2 Rogers, D. W., 3.4 Rogers, J. E., 8.1 Rogerson, I. F., 5.2 Rohe, D., 4.4.2 Rohrer, H., 4.3.8 Rohrlich, F., 7.4.3 Rollett, J. S., 5.3 Rùmming, C., 4.3.7, 8.8

AUTHOR INDEX Rooksby, H. P., 2.3, 5.1 Rooms, G., 4.4.2 Roos, B., 6.1.1 Roppert, J., 2.6.1 Rose, A., 7.1.6, 7.1.7 Rose, H., 4.3.4 Rosier, D. J. de, 4.1 Rosner, B., 5.3 Ross, A. W., 4.3.3 Ross, M., 9.2.2 Ross, P. A., 2.3 Rossbach, M., 4.4.2 Rossi, F. A., 3.4 Rossi, J., 7.1.7 Rossi, J. P., 7.1.7 Rossi, M., 3.1 Rossmanith, E., 5.3 Rossmann, M. G., 2.2, 3.4, 5.3 Rossouw, C. J., 4.3.4 Rotella, F. J., 2.5.2, 5.5 Rouault, M., 4.3.3 Roubeau, A., 2.6.2 Roudaut, E., 2.4.2, 7.3 Rourke, C. P., 6.3 Rouse, K. D., 6.3, 7.4.2 Rousseau, M., 5.3 Rousseaux, F., 2.2, 4.3.5 Roux, M., 4.3.3 Rowe, J. M., 4.4.2, 4.4.3 Rowlands, P. C., 5.3 Roy, S. C., 4.2.4, 4.2.6 Rozgonyi, G. A., 7.1.7 Rozhanski, V. N., 4.3.8 Rozhansky, V. H., 5.3 Rozhansky, V. N., 5.3 Rubin, H., 2.3 Rubinstein, I., 3.5 Ruble, J. R., 6.3 Ruckpaul, K., 2.6.1 Rudakov, L. I., 4.2.1 Rudman, R., 3.4 Rule, D. W., 4.2.1 Rullhausen, P., 4.2.4, 4.2.6 Rumpf, A., 2.7 Runov, V. V., 4.4.2 Ruoff, A. L., 2.5.1 Rush, J. J., 8.3 Russ, J. C., 7.1.4 Russell, D. R., 9.6 Russell, T. P., 2.9 Rustichelli, F., 2.8, 4.4.2 RuÈter, H. D., 5.3 Rzotkiewicz, S., 8.7 Sabine, T. M., 6.4 Sabino, E., 2.3, 5.2 Sadanaga, R., 9.2.2 Sadaoui, N., 3.1 Sadler, D. M., 2.6.1 Sagar, R. P., 4.3.3 Sagerman, G., 3.4 Sah, R. E., 4.3.4 Saito, M., 4.2.3 Saitoh, K., 7.2 Sakabe, K., 6.3 Sakabe, N., 2.2, 4.2.5, 6.3, 7.1.6, 7.1.8 Sakai, H., 2.7, 7.1.6, 7.1.7 Sakamaki, T., 3.4 Sakashita, H., 5.3, 9.2.2 Sakata, M., 7.4.2, 8.6

Sakurai, H., 4.2.1 Sakurai, K., 4.2.1 Salcido, M. M., 7.1.6 Saldin, D. K., 4.3.4, 8.8 Salemne, F. R., 7.1.6 Saloman, E. B., 4.2.3, 4.2.4 Salomonson, S., 4.2.2 Salva-Ghilarducci, A., 2.6.2 Samotoin, N. D., 4.3.5 Samsonov, G. V., 9.3 Sander, B., 5.3 SandstroÈm, A. E., 5.2 Sanford, P. W., 7.1.6 Sankey, O. F., 4.3.4 Sano, H., 4.2.4 Santiard, J. C., 2.2, 7.1.6 Santilli, V. J., 7.1.6 Santoro, A., 6.3 Sapirstein, J., 4.2.2 Sareen, R. A., 7.1.6 Sarikaya, M., 4.3.7 Sarma, R., 3.4 Sasaki, A., 4.2.3 Sasaki, H., 4.3.3 SasvaÂri, J., 5.3 Sato, F., 2.7, 7.1.6, 7.1.7 Sato, M., 3.4 Sato, S., 4.2.6 Sato-Sorensen, Y., 3.4 Satow, Y., 7.1.6, 7.1.8 Sauder, W. C., 4.2.2 Sauer, H., 4.3.4 Sauli, F., 2.2 Saunders, M., 4.3.7, 8.8 Sauvage, M., 2.7, 2.8 Savage, H. F. J., 3.4 Savinov, G. A., 7.1.6 Savitzky, A., 2.3 Sawada, M., 4.2.1, 4.2.3 Sawada, T., 4.3.3 Sawatsky, G. A., 4.3.4 Saxton, W., 4.3.8 Saxton, W. O., 4.3.8 Sayers, D. E., 4.2.3, 4.3.4 Sazaki, T., 4.3.4 Sbitnev, V. I., 4.4.2 Scarborough, G. A., 3.1 Scardi, P., 5.2, 8.6 Scaringe, R. P., 9.7 Schaefer, W., 7.3 Schaerpf, O., 4.4.2 SchaÈfer, L., 4.3.3 Schalt, W., 4.4.2 SchaÈrpf, O., 2.6.2, 4.4.2 Schattschneider, P., 4.3.4 Schauer, P., 7.2 Schaupp, D., 4.2.4, 4.2.6, 7.4.3 Schearer, L. D., 4.4.2 Schebetov, A. F., 4.4.2 Scheckenhofer, H., 2.9 Schedler, E., 4.4.2 Schedrin, B. M., 2.6.1 Scheer, J. W., 7.1.6 Scheerer, B., 4.3.4 Scheetz, B. E., 2.3 Schefer, J., 4.4.2 Scheinfein, M., 4.3.4 Schellenberger, U., 5.3 Schelten, J., 2.6.1, 2.6.2, 4.4.2, 7.3 Schenk, M., 5.3

Scheraga, H. A., 9.7 Scheringer, C., 6.1.1 Scherm, R., 2.8, 4.4.2 Scherm, R. H., 4.4.2 Scherrer, P., 2.3 Scherzer, O., 4.3.8 Schetelich, Ch., 5.3 Schick, B., 3.1 Schieber, M., 7.1.4 Schikora, D., 5.3 Schildkamp, W., 2.2 Schiller, C., 3.4 Schindler, D. G., 2.6.2 Schink, H.-J., 2.6.2 Schirber, J. E., 3.4 Schirmer, A., 4.4.2 Schiske, P., 4.3.8 Schlenker, M., 2.8, 7.3 Schlenoff, J. B., 3.4 Schlesier, B., 3.1 Schmalle, H. W., 9.2.2 Schmatz, W., 4.4.2 Schmetzer, K., 2.3 Schmider, H., 4.3.3 Schmidt, H., 5.3 Schmidt, K., 2.6.2 Schmidt, L., 4.2.1 Schmidt, V. V., 4.2.3 Schnabel, R. B., 8.1 Schnatterly, S. E., 4.3.4 Schneider, D. K., 2.6.2 Schneider, G., 9.2.2 Schneider, J., 3.4, 5.3 Schneider, J. R., 2.5.2, 4.1, 7.4.3 Schnering, H. G. von, 9.1 Schnopper, H. W., 4.2.3 Schoenborn, B. P., 2.6.2, 4.4.2, 6.1.3 Schomacher, V., 4.3.3 Schomaker, V., 4.3.3, 8.3 Schoonover, R. M., 5.3 Schrauber, H., 2.6.1, 9.2.2 Schreiner, W., 2.3, 5.2 Schreiner, W. N., 2.3, 5.2 Schrey, F., 5.3 Schreyer, A., 2.9 SchroÈder, B., 4.3.4 SchroÈder, W., 2.2, 2.7 Schroeder, L. W., 6.3 Schubert, P., 3.4 Schultz, A. J., 2.5.2, 7.3 Schultz, H., 2.3 Schulz, H., 3.4, 5.3, 6.1.1, 7.4.2, 9.2.2 Schulz, L. G., 2.7 Schulze, G. E. R., 3.2, 5.3 Schulze, H., 2.6.2 Schumacher, M., 4.2.4, 4.2.6, 7.4.3 Schurz, J., 2.6.1 Schuster, M., 4.2.6 Schutt, C. E., 2.2 Schwager, P., 3.4, 6.3 Schwahn, D., 2.6.2 Schwartz, L. S., 2.3 Schwartzenberger, D. R., 5.3 Schwarz, H. E., 7.1.6 Schwarz, W., 9.2.2 Schwarzenbach, D., 4.2.2, 5.3, 8.1, 9.3 Schweig, A., 4.3.3

979

980 s:\ITFC\index.3d (Authors Index)

Schweizer, J., 4.4.2, 8.7 Schwendemann, R. H., 9.5, 9.6 Schweppe, J., 4.2.2 Schweppe, J. E., 4.2.2 Schwinger, J., 4.2.1 Schwitz, W., 4.2.2 Schwuttke, G. H., 2.7, 5.3 Sco®eld, J., 4.2.6 Sco®eld, J. H., 4.2.3, 4.2.4 Scott, C. P., 7.2 Scott, H. G., 8.6 Scott, V. D., 4.2.1 Scuderi, J., 3.4 Sears, V. F., 2.9, 4.2.3, 4.4.2, 4.4.4 Seary, A. J., 4.2.3 Sebastian, M. T., 9.2.1 SeÂbilleau, F., 2.3 Secrest, D., 6.3 Sedlacek, P., 9.2.2 Seebold, R. E., 2.3 Seeds, W. E., 2.6.1 Seegar, P. A., 4.4.4 Seeger, A., 4.4.2 Seeger, P. A., 7.1.6 Seemann, H., 2.3 Segall, R. L., 9.2.2 SegmuÈller, A., 2.3, 5.3 Seip, H. M., 4.3.3 Seip, R., 4.3.3 Seka, W., 4.2.1 Seki, R., 4.2.2 Sekiguchi, A., 7.1.6 Sekiguchi, A. A., 7.1.6 Self, P. G., 4.3.8 Selsmark, B., 2.5.1 Semiletov, S. A., 2.4.1 Senemaud, C., 4.2.1, 4.2.2 Senzaki, K., 4.2.3 Serdyuk, I. N., 2.6.2 Serebrov, A. P., 4.4.2 Serughetti, J., 3.5 Servidori, M., 5.3 Sette, F., 4.3.4 Sevely, J., 4.3.4 Sevillano, E., 4.2.3 Seyfried, P., 4.2.2, 5.3 Seymann, E., 4.4.4 Shaham, H., 3.4 Sham, L. S., 4.2.6 Shankland, K., 4.3.7, 8.6 Shannon, C. E., 2.6.1 Shapiro, F. L., 4.4.2 Shapiro, S. M., 4.4.2 Sharov, V. A., 4.4.2 Shaw Stewart, P. D., 3.1 Shaw, A., 3.1 Shechtman, D., 9.8 Shekhtman, V. Sh., 5.3 Sheldon, J., 3.4 Sheldrick, G. M., 5.3 Shelud'ko, S. A., 5.3 Shenoy, G. K., 4.1 Shephard, G. C., 9.1 Sherman, I. S., 4.3.4, 7.1.6 Sherwood, J. N., 2.7, 2.8 Sheu, E. Y., 2.6.1, 2.6.2 Shibata, S., 4.3.3 Shidara, K., 2.7, 7.1.6, 7.1.7 Shields, W. R., 5.3 Shiles, E., 4.3.4

AUTHOR INDEX Shimakura, H., 4.2.6 Shimambukuro, R. L., 4.2.4, 4.2.6 Shindo, D., 4.3.8 Shinoda, G., 5.3 Shiraiwa, T., 4.2.3 Shiraiwa, Y., 4.2.1 Shirane, G., 4.4.2, 4.4.3, 6.1.2 Shirley, R., 8.6 Shishiguchi, S., 2.3, 7.1.3 Shmueli, U., 7.5 Shmytko, I. M., 4.2.6, 5.3 Shoemaker, D. P., 7.5, 8.4 Shoji, T., 2.3 Shore, J. E., 8.2 Shortley, G. H., 8.7 Shrier, A., 5.3 Shubnikov, A. V., 9.1 Shulakov, E. V., 4.2.6, 5.3 Shull, C. G., 2.8, 6.1.2, 6.1.3 Shulman, R. G., 4.2.3 Shulman, S., 2.6.1 Shuman, H., 4.3.4 Shuvalov, B. N., 7.1.6 Shvarts, D., 4.2.1 Shvyd'ko, Yu. V., 5.3 Sica, F., 3.1 Siddons, D. P., 2.3, 2.7, 4.2.6 Siddons, P., 4.2.6 Sidorenko, O. V., 4.3.5, 9.2.2 Sidorov, V. A., 7.1.6 Sieber, J., 8.6 Siegbahn, M., 4.2.1 Siegbahn, P., 6.1.1 Siegel, R. W., 4.1 Siegert, H., 4.2.2, 5.3 Siegmund, O. H. W., 7.1.6 Siegmund, W., 4.2.5 Siemensmeyer, K., 4.4.2 Sievers, R., 9.4, 9.5, 9.6 Silcox, J., 4.3.4 Sillers, I.-Y., 2.6.2 Sillou, D., 2.8 Silzer, R. M., 4.2.1 Simmons, R. O., 5.3 Simms, R. A., 7.1.6 Simon, J. P., 2.6.2 Simons, A. L., 4.2.3 Simpson, J. A., 4.3.4 Simpson, K., 2.6.2 Simpson, W. T., 6.1.1 Sinclair, H. B., 5.2 Sinfelt, J. H., 4.2.3 Singh, G., 9.2.1 Singh, K., 5.3 Singh, S. R., 9.2.1 Sinha, S. K., 2.9 Sinogowitz, U., 9.1 Sirianni, A. F., 2.3 Sironi, A., 8.6 Sirota, E. B., 2.9 Sirota, M. I., 2.4.1 Sivia, D. S., 8.6 Skalicky, P., 7.4.2 Skellam, J. G., 7.5 Skilling, J., 8.2 Skopik, D. M., 4.2.1 Skowronek, M., 7.1.6 Skupov, V. D., 5.3 Skuratowski, I. Ya., 4.2.1 Slack, G. A., 9.1

Slade, J. J., 5.3 Slade, J. J. Jr, 5.3 Slater, J. C., 7.4.3 Sleight, A. W., 2.3 Sleight, J., 4.2.1 Slingsby, S., 3.4 SÏljukicÂ, M., 5.3 Sloane, N. J. A., 9.1 Sluis, P. van der, 3.1 Smaalen, S. van, 9.2.2, 9.8 Smakula, A., 5.3 Smend, F., 4.2.4, 4.2.6, 7.4.3 Smirnov, V. V., 4.3.8 Smirnova, N. L., 9.1 Smith, A. J., 9.7 Smith, D., 4.3.3 Smith, D. G. W., 2.3 Smith, D. J., 3.5, 4.3.7, 4.3.8 Smith, D. K., 2.3, 9.2.2 Smith, D. T., 3.4 Smith, D. Y., 4.2.6, 4.3.4 Smith, G., 5.3, 7.1.6 Smith, G. F. H., 9.8 Smith, G. S., 2.3, 2.9 Smith, H., 8.1, 8.4 Smith, J. M., 9.7 Smith, J. V., 9.2.2 Smith, S. T., 2.3 Smith, S. Y., 4.3.4 Smith, T. B., 4.4.2 Smith, V. H., 4.3.3 Smith, V. H. Jr, 4.3.3, 6.1.1 Smits, D. W., 5.2 Snavely, M. K., 4.1 Snell, E., 2.2 Snigirev, A., 4.2.5 Snigireva, I., 4.2.5 Snyder, D., 4.2.1 Snyder, R. L., 2.3 Soares, D. A. W., 5.3 Soboleva, S. V., 4.3.5, 9.2.2 SoÈchtig, J., 4.4.2 Soejima, Y., 3.4, 5.3 Sofer, A., 8.1 Soff, G., 4.2.2 Soller, W., 2.3, 5.2 Somiya, S., 2.3 Somlyo, A. P., 4.3.4 Sommers, H. S., 4.4.2 Sonada, M., 7.1.6 Sonneveld, E. J., 2.3, 5.2 Sonoda, M., 7.1.8 Sorenson, D., 8.1 Sorenson, L. B., 4.2.3 Sorenson, L. O., 4.2.6 Soriano, T. M. B., 3.1 Sorokin, N. D., 9.2.2 Soures, J. M., 4.2.1 Sowa, H., 9.1 Spackman, M. A., 8.7 Spangfort, M. D., 3.1 Spargo, A. E. C., 4.3.7, 4.3.8 Sparks, C. J., 5.2, 7.4.3 Sparks, R. A., 2.3, 3.4 Sparrow, T. G., 4.3.4 Spear, W. E., 4.2.1 Spehr, R., 4.3.4 Speier, W., 4.3.4 Spence, A. J., 4.3.8 Spence, J. C. H., 4.3.4, 4.3.7, 4.3.8, 8.8

Spencer, R. C., 5.2 Spiegelman, C. H., 8.4, 8.5 Spielberg, N., 2.3, 5.2, 7.5 Spooner, F. J., 5.3 Springer, T., 2.6.2, 4.4.2 Sprong, G. J. M., 5.2 Squire, G. D., 3.4 Srinivasan, K., 2.5.2 SteÎpienÂ, J. A., 5.3 SteÎpienÂ-Damm, J., 5.3 SteÎpienÂ-Damm, J. A., 5.3 Stalick, J. K., 2.3, 2.4.1, 5.1, 5.2 Stalke, D., 3.4 Stanglmeier, F., 4.2.6 Stanley, H. B., 2.9 Stanton, M., 7.1.6 Stasiecki, P., 2.6.1 Statile, J. L., 7.1.7 Staub, U., 4.4.2 Stearns, D. G., 4.2.6 Stedman, R., 4.4.3 Steeds, J. W., 4.3.6.2, 4.3.7, 5.4.2, 8.8 Steeple, H., 2.3 Stegun, I. A., 6.1.1, 6.3, 7.5 Steichele, E., 2.5.2, 4.4.2 Steigemann, W., 3.4 Steinberger, I. T., 9.2.1 Steinberger, J., 4.4.2 Steiner, M., 4.4.2 Steiner, W., 7.4.2 Steinhauser, K. A., 2.9 Steinmeyer, P. A., 2.3 Steinsvoll, O., 4.4.2, 4.4.3 Stemple, N. R., 4.2.6 Stephens, M. A., 6.1.1 Stephens, P. W., 4.2.5, 8.6 Stephenson, S. T., 4.2.1 Stern, E. A., 4.2.1, 4.2.3, 4.3.4 Stern, R. A., 7.1.6 Steryl, A., 2.9 Stetsko, Yu. P., 5.3 Steurer, W., 9.8 Stevels, A. L. N., 2.7 Stevens, E. D., 7.4.2, 8.7 Stevenson, A. W., 7.4.2 Stevenson, M. L., 4.2.3 Stewart, G. W., 8.1 Stewart, R. F., 4.3.3, 6.1.1, 8.7 Stibius-Jensen, M., 4.2.3, 4.2.6 Stiefel, E., 8.3 Stipcich, S., 4.2.3 Stirling, W. G., 4.4.2 Stobbs, W. M., 4.3.8 Stock, A. M., 3.4 Stock, S. R., 4.2.3 Stohr, J., 4.2.3, 4.3.4 Stùlevik, V., 4.3.3 Storm, A. R., 4.2.3 Storm, E., 4.2.4, 4.2.6 Stott, A. M. B., Stout, C. D., 3.1 Stout, G. H., 2.2, 3.1, 3.4, 5.3 Stout, J. H., 9.2.2 Strack, R., 4.2.5 Stragier, H., 4.2.3 Stratonovich, R. L., 6.1.1 Straumanis, M., 5.3 Straumanis, M. E., 2.3, 5.3 Strauss, M. G., 4.3.4, 7.1.6, 7.3 Strauss, S., 7.4.3

980

981 s:\ITFC\index.3d (Authors Index)

Strinskii, A. N., 4.2.1 Strobel, P., 3.1 Stroud, A. H., 6.3 Stuart, A., 3.1, 3.3, 6.1.1 Stuart, D., 6.3 Stuart, D. I., 3.4 Stubbings, S. J., 3.4 Stuckey Kauffman, D., 5.3 Stuesser, N., 4.4.2 Stuhrmann, H., 4.2.1 Stuhrmann, H. B., 2.6.1, 2.6.2 StuÈmpel, J., 4.2.2 StuÈmpel, J. W., 7.1.6 Stura, E. A., 3.1 Sturhahn, W., 5.3 Sturkey, L., 2.4.1 Sturm, K., 4.3.4 Sturm, M., 4.2.6 Su, L. S., 4.3.3 Su, Z., 8.7 Suck, D., 3.4 Sudol, J., 7.3 Suehiro, S., 7.1.6 Sueno, S., 3.4 Suh, I.-H., 3.4 Suh, J.-M., 3.4 Sukharev, Y., 4.3.7 Suller, V. P., 4.2.1 Sullivan, J. D., 3.2 Sumner, I., 7.1.6 Suortti, P., 2.3, 4.2.1, 4.2.4, 4.2.6, 7.4.2, 7.4.4, 8.6 Surin, B. P., 3.1 Surkau, R., 4.4.2 Suski, T., 3.4, 5.3 Sussieck-Fornefeld, C., 2.3 Sussini, J., 4.2.5 Sutter, J., 5.3 Sutton, L. E., 9.5, 9.6 Suzuki, M., 9.2.2 Suzuki, S., 2.7 Suzuki, T., 4.3.8 Suzuki, Y., 7.1.6 Svensson, C., 5.3 Svensson, L. A., 3.1 Svergun, D. I., 2.6.1 Swann, P. R., 3.5, 4.3.4 Swanson, D. K., 3.4 Swanson, H. E., 5.2, 5.3 Swanton, D. J., 8.7 Swapp, S. M., 3.4 Sweet, R. M., 3.1, 7.1.6 Swoboda, M., 4.3.7 Swyt, C. R., 4.3.4 Sygusch, J., 8.3 Syromyatnikov, F. V., 3.2 SzaboÂ, P., 7.5 Szarras, S., 2.5.1 Szmid, Z., 2.5.1, 5.3 SzymanÂski, J. T., 9.2.2 Tabbernor, M. A., 4.3.1, 4.3.2, 4.3.7, 6.1.1, 8.8 Taft, E. A., 4.3.4 Taftù, J., 4.3.4, 4.3.7, 8.8 Tairov, Yu. M., 9.2.2 Takahashi, H., 4.3.7 Takahashi, K., 7.1.6, 7.1.8 Takahata, T., 9.2.2 Takama, T., 4.2.6 Takano, M., 7.1.6, 7.1.8

AUTHOR INDEX Takano, Y., 5.3 Takayanagi, K., 4.3.8 Takeda, H., 9.2.2 Takeda, T., 4.2.3, 4.4.2 TakeÂuchi, Y., 9.2.2 Tanaka, H., 7.1.8 Tanaka, M., 4.2.2, 4.3.7, 7.1.6, 8.8 Tanaka, N., 3.4 Tanaka, T. J., 4.2.4, 4.2.6 Tanemura, M., 9.1 Tanimoto, M., 7.1.6 Tanioka, K., 7.1.6 Tanisaki, S., 9.8 Tanner, B. K., 2.7, 4.1, 5.3 Tanoue, H., 4.2.3 Tao, K., 2.3 Taran, Yu. V., 4.4.2 Tardieu, A., 2.6.2 Tarling, S. E., 3.4 Tasset, F., 4.4.2 Tate, M. W., 2.7 Taub, H., 7.3 Taupin, D., 2.3 Tavard, C., 4.3.3 Taxer, K., 9.2.2 Taylor, A., 2.3, 4.2.1, 5.2, 9.2.1 Taylor, B. N., 4.2.1, 4.2.2, 4.2.3, 5.3 Taylor, H. F. W., 9.2.2 Taylor, J., 2.3, 5.2 Taylor, J. C., 8.6 Taylor, P. R., 6.1.1 Taylor, R., 9.5, 9.6 Tazzari, S., 4.2.1, 4.2.6 Tchoubar, C., 4.3.5 Tchoubar, D., 4.3.5 Teatum, E. T., 9.3 Teeter, M. M., 3.4 Teller, E., 9.2.1 Teller, R. G., 2.5.2 Tello, M. J., 9.8 Templer, R. H., 7.1.6 Templeton, D. H., 4.2.3, 4.2.6, 6.3 Templeton, L. K., 4.2.3, 4.2.6, 6.3 Tence, M., 4.3.4 Teng, T. Y., 3.4 Tennevin, J., 2.7 Teo, B. K., 4.2.3, 4.3.4 Terada, N., 4.2.3 Terasaki, D., 5.2 Terasaki, O., 2.5.1, 4.3.7, 5.2 Terhell, J. C. J. M., 9.2.1 Terminasov, Yu. S., 5.3 Termonia, Y., 2.3 Teuchert, W., 4.4.2 Thakkar, A. J., 4.3.3, 6.1.1 Thaller, C., 3.1 Thatcher, D. R., 3.1 Theisen, R., 4.2.4 Theobald-Dietrich, A., 3.1 Thiel, D. J., 4.2.5 Thierry, J. C., 3.4 Thiessen, M. J., 3.1 Thinh, T. P., 4.2.4 Thole, B. T., 4.3.4 Thomas, D. J., 7.1.6 Thomas, G., 3.5, 5.4.2, 7.1.6 Thomas, J. M., 4.3.4

Thomas, J. O., 8.6 Thomas, L. H., 4.2.6, 7.4.3, 8.7 Thomas, P., 7.3 Thomas, R. K., 2.9 Thomlinson, W., 2.3, 7.4.4, 8.6 Thompson, A. B., 9.2.2 Thompson, A. W., 2.2, 3.4 Thompson, D. J., 4.2.1 Thompson, J. B, 9.2.2 Thompson, P., 2.3 Thompson, T. E., 3.2 Thomsen, J. S., 4.2.2, 5.2, 5.3, 7.5 Thuesen, G., 4.2.3, 4.2.6 Thut, R., 4.4.2 Tiao, G. C., 8.1, 8.2 Tibballs, J. E., 6.3 Tighe, N. J., 3.5 Tikhonov, A. N., 2.6.1 Tikhonov, V. I., 6.1.1 Tilton, R. F., 3.4 Tilton, R. F. Jr, 3.4 Timasheff, S. N., 2.2, 2.6.1 Timchenko, T. I., 9.2.2 Timmers, J., 5.2 Timmins, P. A., 2.6.2 Tindle, G. L., 4.4.3 Tipson, R. S., 3.1 Tissen, J. T. W. M., 3.1 Tivol, W. F., 4.3.8 Tixier, R., 5.3 Toby, B. H., 2.3 Tode, G. E., 3.4 Toellner, T. S., 5.3 To®eld, B. C., 8.7 Tohji, K., 4.2.1 Tokonami, M., 9.2.1, 9.2.2 Tokumaru, Y., 5.1 Tokumoto, M., 4.2.3 Tolhoek, H. A., 7.4.3 Toman, K., 5.2 Tomaszewski, P. E., 5.3, 9.2.2 Tomimitsu, H., 2.8 Tomita, T., 9.2.1 Tomkeieff, M. V., 5.3 Tomlin, S. G., 4.2.1 Tomokiyo, Y., 4.3.7, 8.8 Tomonaga, N., 5.3 Tonomura, A., 4.3.8 Toorn, P. van, 7.2 Toraya, H., 2.3, 5.2 Tossel, J. A., 4.3.4 Tournarie, M., 2.3 Town, W. G., 9.5, 9.6 Toyoshima, N., 3.4 Trail, J., 4.2.1 Trammell, G. T., 6.1.2 Trautmann, N., 4.4.2 Travennier, M., 5.2 Travis, D. J., 7.1.6 Treacy, M. M. J., 4.3.8, 9.1 Trebbia, P., 4.3.4 Tremayne, M., 8.6 Treverton, J. A., 3.5 Trewhella, J., 2.6.1 Trigunayat, G. C., 5.3, 9.2.1 Tripathi, A. N., 4.3.3 Troitsky, V. I., 2.9 Trost, A., 2.3 Trueblood, K. N., 2.2, 8.3 Trzhaskovskaya, M. B., 4.2.4

Tse, T., 4.2.5 Tseng, H. K., 7.4.3 Tsernoglou, D., 3.4 Tsu, Y., 4.2.3 Tsuda, K., 4.3.7, 8.8 Tsuji, M., 4.3.8 Tsukimura, K., 3.4 Tsuno, K., 4.3.8 Tsutsumi, K., 4.2.3 Tsvetkov, V. F., 9.2.2 Tsypursky, S. I., 2.4.1 Tu, H. Y., 3.1 Tubbenhauer, G. A., 7.1.6 Tucker, P., 8.2 Tucker, T. N., 5.3 Tugulea, M. N., 7.4.3 Tuinstra, F., 3.4, 5.2, 9.8 Tukey, J. W., 8.2 Tulkki, J., 7.4.3 Tung, M., 3.1 Tuomi, T., 2.7 Turber®eld, K. C., 2.5.2 Turchin, V. F., 4.4.2 Turkenburg, J. P., 3.4 Turner, J. N., 4.3.8 Turner, P. S., 2.4.1, 4.2.4, 4.3.1, 4.3.2, 6.1.1 Tutton, A. E., 3.2 Tuzov, L. V., 5.3 Tzafaras, N., 3.4 Uchiyama, K., 7.1.6 Udagawa, Y., 4.2.1, 4.2.3 Uehling, E. A., 4.2.2 Ueno, Y., 7.1.8 Ugarte, D., 4.3.4 Ullrich, H.-J., 5.3 Ullrich, J. B., 4.4.2 Umanskii, M. M., 7.5 Umanskij, M. M., 5.2 Umansky, M. M., 5.3 Umeno, M., 5.3 Umezawa, K., 4.2.6 Unangst, D., 5.3 Uno, R., 2.5.1 Unonius, L., 2.3, 8.6 Unwin, P. N. T., 4.3.7, 4.3.8 Urbanowicz, E., 5.3 Ursell, H. D., 6.1.1 Usami, K., 7.1.6 Usha, R., 3.4 Uspeckaya, G. I., 5.3 Usuda, K., 5.3 Utlaut, M., 4.3.4 Uyeda, N., 4.3.8 Uyeda, R., 2.7, 4.3.7, 5.4.2, 8.8 Vacquier, V. D., 3.1 Vainshtein, B. K., 2.2, 2.4.1, 4.3.5 Vajda, I., 2.3 Valentine, R. C., 7.2 Valvoda, V., 4.1 Van Bommel, A. J., 4.2.6 Van Dyck, D., 4.3.8 Van Landuyt, J., 4.3.8 Van Mellaert, L., 2.7 Vanoni, F., 4.4.2 Vansteelandt, L., 4.4.2 Van Tendeloo, G., 4.3.8, 9.2.1, 9.2.2

981

982 s:\ITFC\index.3d (Authors Index)

Varghese, J. N., 4.2.5 Varnum, C. M., 4.4.2 Vaughan, D. J., 4.3.4 Veeraraghavan, V. G., 2.3 Veigele, W. J., 4.2.4, 4.2.6, 7.4.3 Veillard, A., 6.1.1 Venghaus, H., 4.3.4 Vercillo, R., 7.1.6 Vergamini, P. J., 3.4 Verheijen, M. A., 9.2.2 Verin, I. A., 3.1 Verma, A. J., 9.2.2 Verma, A. R., 9.2.1 Vernon, W., 2.2, 7.1.6 Vettier, C., 4.2.5 Veysseyre, R., 9.8 Via, G. H., 4.2.3 Victoreen, J. A., 4.2.4 Villain, F., 4.2.3 Villain, J., 9.8 Villars, P., 9.3 Vincent, M. G., 6.3 Vincent, R., 4.3.7, 8.8 Vincze, L., 4.2.5 Vineyard, G. H., 2.3 Visser, J. W., 2.3, 5.2, 9.8 Viswamitra, M. A., 9.7 Vittone, E., 4.2.2 Vittot, M., 7.1.6 Vogels, A. B. P., 2.3 Vogt, T., 4.4.2 Voigt, W., 7.4.2 Voigt-Martin, I. G., 4.3.7 Vollath, D., 4.2.4 Volz, K., 2.2 Von Dreele, R. B., 6.4, 8.6 Von Festenberg, C., 4.3.4 Voronin, L. A., 2.6.1 Vos, A., 7.4.2 Voss, R., 4.3.7, 4.3.8 Vossers, H., 3.4 Vriend, G., 3.4 Vrublevskaya, Z. V., 4.3.5, 9.2.2 Vucht, J. H. N. van, 9.3 Vvedensky, D. D., 4.3.4 Waarzak, I., 3.1 Waber, J. T., 4.2.4, 4.2.6, 4.3.1, 6.1.1, 9.3 WacheÂ, C., 5.3 Wachtel, E., 2.6.2 Wada, N., 4.2.3 Waddington, W. G., 4.3.8 Wade, R. H., 4.3.8 Wagenfeld, H., 4.2.6, 6.3 Wagner, C. N. J., 2.3 Wagner, R., 2.6.2 Wagner, V., 4.4.2 Wagshul, M. E., 4.4.2 Wait, E., 3.4 Wakabayashi, K., 7.1.8 Wakita, H., 4.2.3 Walder, V., 5.3 Walker, A. R., 5.4.2 Walker, G. A., 2.3 Walker, N., 6.3 Wall, J., 4.3.8 Wall, M. E., 2.7 Wallace, C. A., 2.7, 5.3 Waller, I., 4.2.6, 7.4.3

AUTHOR INDEX Walls, M. G., 4.3.4 Walter, G., 2.6.1 Walters, K., 4.4.2 Walton, D., 7.1.6 Wang, D. N., 4.3.7 Wang, J., 4.3.3 Wang, M. S., 4.2.6 Wang, S. Q., 8.8 Warble, C. E., 4.3.8 Warburton, W. K., 4.2.3, 7.1.5 Ward, K. B., 3.1 Ward, R. C., 7.4.2 Ward, R. C. C., 2.7 Ware, N. G., 2.3 Warren, B. E., 2.3, 4.2.5, 4.3.5 Warrington, D. H., 1.3 Waschkowski, W., 4.4.4 Waser, J., 6.2, 8.3 Washburn, J., 3.5 WasÂkowska, A., 5.3 Wassermann, G., 2.3 Watanabe, D., 4.3.7, 8.8 Watanabe, H., 4.3.7, 8.8 Watanabe, T., 4.2.3, 6.1.1 Watenpaugh, K. D., 3.4 Watkin, D. J., 2.3 Watson, D. G., 9.5, 9.6, 9.7 Watson, D. L., 2.7 Watson, K. J., 6.1.1 Watson, L. M., 4.2.2 Weaver, L. H., 3.1 Weaver, W., 2.6.1 Weber, H., 7.4.2 Weber, H.-P., 2.3 Weber, K., 6.3 Weber, P. C., 3.1 Weber, W., 4.2.6 Weckerman, B., 4.4.2 Weertman, J., 9.2.1 Weertman, J. R., 9.2.1 Wehenkel, C., 4.3.4 Weibel, E., 4.3.8 Weickenmeier, A., 4.3.2 Weickenmeier, A. L., 4.3.7, 8.8 Weigel, D., 9.8 Weik, H., 5.3 Weill, F., 9.2.2 Weill, G., 2.5.1 Weininger, M. S., 3.4 Weinstock, B., 4.3.3 Weisenberger, P., 4.2.3 Weisgerber, S., 2.2 Weiss, R. J., 6.3, 7.4.3 Weiss, Z., 9.2.2 Weissenberg, K., 2.2 Weissmann, S., 5.3 Weisz, O., 5.3 Welberry, T. R., 3.4 Wellenstein, H., 4.3.3 Wells, A. A., 7.1.6 Wells, A. F., 9.1, 9.2.1 Wells, M., 4.4.5 Welsch, R. E., 8.1, 8.2, 8.5 Welsh, R. C. J., 4.4.2 Weng, X. D., 4.3.4 Wenk, H. R., 4.3.8 Wennemer, M., 9.2.2 Wenskus, R., 7.4.3 Wenzl, H., 5.3 Werner, K., 4.4.2 Werner, P. E., 2.3, 8.6

Werner, S., 2.8 Werner, S. A., 4.4.3, 4.4.4, 6.2, 6.4, 7.5 Wertheim, G., 2.3 Wery, J. P., 3.4 West, D. R. F., 3.5 West, J. M., 3.5 West, K., 2.3 Westbrook, E. M., 3.2, 7.1.6 Westbrook, M. L., 7.1.6 Whaling, W., 7.3 Whatmore, R. W., 2.7 Whelan, M. J., 3.5, 4.3.2, 4.3.6.2, 4.3.8, 5.4.1 White, E. T., 3.2 White, T. J., 9.2.2 Whit®eld, H., 4.3.7 Whitney, D. R., 5.2, 5.3 Whittaker, E. J. W., 7.1.1 Whittemore, W. L., 4.4.2 Wichmann, E. H., 4.2.2 Wick, G. C., 4.4.2 Wicks, B. J., 3.5 Widom, J., 7.1.6 Wiedmann, L., 4.2.1 Wiegand, C. E., 4.2.2 Wien, W., 4.3.4 Wiesler, D. G., 2.9 WiewioÂra, A., 9.2.2 Wiewiorosky, J., 2.3 Wignall, G. D., 2.6.2 Wikinson, A. P., 8.6 Wiles, D. B., 2.3, 8.6 Wiley, D. C., 7.1.6 Wilhelm, T., 7.1.6 Wilkens, M., 5.2 Wilker, C. N., 4.3.4 Wilkins, J. W., 4.3.4 Wilkins, M. H. F., 2.6.1 Wilkins, S. W., 4.2.5, 6.1.1, 6.4 Wilkinson, A. P., 2.3 Wilkinson, C., 2.2 Wilkinson, D. H., 7.1.6 Wilkinson, M. K., 9.8 Will, G., 2.3, 5.2, 5.3, 7.3, 8.6 Wille, H.-C., 5.3 Wille, P., 4.4.2 Williams W. G., 4.4.2 Williams, B. G., 4.3.4, 7.4.3 Williams, D. B., 4.3.8 Williams, D. E. G., 9.7 Williams, E. J., 7.5, 8.4 Williams, G. P., 7.4.4 Williams, J. C., 3.5 Williams, J. M., 2.5.2 Williams, R., 3.4 Williams, W. G., 4.4.2 Williamson, G. K., 3.5 Willis, B. T. M., 2.2, 2.3, 2.5.2, 3.6, 4.4.6, 5.3, 5.5, 6.1.1, 6.1.3, 6.2, 7.4.2, 8.6, 8.7 Willoughby, A. F. W., 5.3 Willson, P. D., 2.3 Wilson, A. J. C., 1.4, 2.3, 2.4.2, 2.5.1, 3.3, 4.2.2, 4.3.5, 5.1, 5.2, 5.3, 6.3, 6.4, 7.5, 8.1, 8.2, 9.2.1, 9.2.2, 9.7 Wilson, A. R., 4.3.8 Wilson, C. G., 5.3 Wilson, E., 3.1 Wilson, H. R., 2.6.1

Wilson, K., 7.5 Wilson, R. J. F., 7.1.6 Wilson, R. R., 4.2.1 Wilson, S. A., 2.8 Winchell, P. G., 2.3 Windisch, D., 5.3 Windsor, C. G., 2.5.2, 4.1, 4.4.6, 7.3, 8.6 Winick, H., 4.2.1, 4.2.3 Winick, M., 7.4.3 Winkler, F. K., 2.2 Winslow, E. H., 4.2.4 Wippler, C., 2.6.2 Witters, R., 2.6.1 Wittmann, H. G., 3.4 Wittmann, J. C., 3.5 Wittono, G., 4.2.6 Witz, J., 2.2, 2.6.2 Wlodawer, A., 2.2, 6.3 Woicik, J. C., 4.2.3 Wokulska, K., 4.2.2, 5.3 Woøcyrz, M., 5.3 Wolf, B. de, 2.6.2 Wolf, J., 4.2.2, 5.3 Wolf, R. S., 7.3 WoÈlfel, E. R., 2.3, 5.3, 7.1.3, 7.1.6 Wolff, P. M. de, 1.4, 2.3, 7.1.1, 9.2.2, 9.8 Wollan, E. O., 9.8 Wolpert, R. L., 8.1 Wolstenholme, J. F. R., 5.2 Wonacott, A. J., 2.2, 3.4, 7.1.6 Wondratschek, H., 1.4, 9.8 Wones, D. R., 9.2.2 Wong, T. C., 4.3.3 Wong-Ng, W., 3.4, 5.2 Wood, G. J., 4.3.8 Wood, I. G., 3.4 Wood, R. A., 3.4 Woodruff, D. P., 4.2.3 Woodward, J. B., 4.2.6 Woolfson, M. M., 2.2, 5.3 Wooster, W. A., 2.2, 5.3, 7.4.2 Worcester, D. L., 2.6.1 Worgan, J. S., 7.1.5 Worlton, T. G., 2.5.2 Worthmann, W., 2.6.1, 2.6.2 Wright, A. F., 3.4, 4.4.2 Wright, D. J., 2.6.1 Wright, E. M., 7.5 Wright, M. M., 8.3 Wroblewski, T., 3.4 Wroe, H., 4.4.2 Wu, C. C., 2.7 Wu, D. Q., 7.1.6 Wu, Y., 5.2 Wu, Y.-Q., 4.2.1 Wulff, P., 3.2 Wunderlich, J. A., 3.2 Wurmbach, P., 2.6.2 Wyckoff, H. W., 2.2, 3.4 Xiao, Q. F., 4.4.2 Xie, J., 7.1.6 Xie, S.-D., 4.3.3 Xuong, Ng. H., 2.2, 3.4, 7.1.6 Yaakobi, B., 4.2.1 Yabuki, S., 2.6.2

982

983 s:\ITFC\index.3d (Authors Index)

Yagi, K., 4.3.8 Yakovlev, V. A., 7.1.6 Yakowitz, H., 5.3 Yamada, N., 5.3 Yamada, S., 2.9 Yamagishi, H., 4.3.7 Yamaguchi, M., 2.7, 7.1.6 Yamaguchi, T., 4.2.3 Yamamoto, A., 9.8 Yamamoto, M., 3.4 Yamanaka, T., 9.2.2 Yamashita, T., 7.1.7 Yamazaki, H., 3.4 Yan, D. H., 4.3.7 Yano, Y., 7.1.6 Yao, T., 4.2.1, 4.2.3 Yap, F. Y., 4.2.2, 5.2, 7.5 Yap, Y., 5.3 Yasuami, S., 5.3 Yates, A. C., 4.3.3 Yeates, T. O., 3.1 Yeh, J. J., 4.2.4 Yin, Y., 3.1 Yocum, C. F., 4.2.3 Yoder, H. S., 9.2.2 Yonath, A., 3.4 York, E. J., 6.3 Yoshida, N., 4.2.3 Yoshimatsu, M., 2.3, 4.2.1 Yoshimura, M., 2.3 Yoshioka, H., 8.8 Yoshioka, Y., 7.1.6 Young, A. C. M., 3.4 Young, H. D., 4.4.4 Young, R. A., 2.3, 4.2.5, 5.2, 6.3, 8.6 Yvon, K., 2.3 Zaanen, J., 4.3.4 Zabel, H., 2.9 Zabidarov, E. I., 4.4.2 Zaccai, G., 2.6.2 Zach, J., 4.3.8 Zachariasen, W. H., 4.2.6, 4.4.2, 6.3, 6.4 Zagari, A., 3.1 Zagofsky, A., 2.3 Zahorowski, W., 5.3 Zakharov, N. D., 4.3.8 Zaloga, G., 3.4 Zaluzec, N. J., 4.3.4, 8.8 Zanchi, G., 4.3.4 Zanevskii, Yu. V., 7.1.6 Zani, A., 5.3 Zarka, A., 2.8 Zassenhaus, H., 1.4, 9.8 Zeedijk, H. B., 3.5 Zeidler, T., 2.9 Zeisler, R., 4.4.2 Zeissler, C. J., 4.4.2 Zeitler, E., 3.5, 4.3.4, 7.2 Zemany, P. D., 4.2.4 Zemlin, F., 3.5 Zeppenfeld, K., 4.3.4 Zeppezauer, E. S., 3.4 Zeppezauer, M., 3.4 Zerby, C. D., 4.2.6 Zernicke, F., 2.6.1 Zevin, L. S., 5.2, 5.3, 7.5 Zeyen, C. M. E., 4.4.2 Zha, C. S., 2.5.1

AUTHOR INDEX Zhang, X.-J., 3.4 Zhang, Y., 2.3, 5.2 Zhao, Z. X., 4.3.8 Zhdanov, G. S., 4.1, 9.2.1 Zhou, X.-L., 2.9 Zhoukhlistov, A. P., 9.2.2 Zhu, J., 4.3.4 Zhukhlistov, A. P., 4.3.5, 9.2.2 Zimmermann, J., 4.2.1

Zimmermann, S., 4.3.4 Zinke, M., 2.6.1 Zipper, P., 2.6.1 Zirwer, D., 2.6.1 Zittlau, W., 4.3.3 Zobel, D., 3.4 Zobetz, E., 9.1 Zocco, T. G., 2.9 Zolensky, M. E., 2.3 Zolliker, P., 5.5

Zolotoyabko, E., 5.3 Zoltai, T., 9.2.2 Zorkaya, O. N., 9.7 Zorkii, P. M., 9.2.2 Zorky, P. M., 9.7 Zosi, G., 4.2.2, 5.3 Zou, X. D., 4.3.7 Zsoldos, EÃ., 5.3 Zubenko, V. V., 5.3 Zucchino, P., 7.1.6

983

984 s:\ITFC\index.3d (Authors Index)

Zucker, U. H., 6.1.1 ZunÄiga, F. J., 9.8 Zuo, J., 8.8 Zuo, J. M., 4.3.7, 4.3.8, 5.4.1, 8.8 ZuÊra, J., 5.3 Zurek, S., 3.4 Zvyagin, B. B., 3.5, 4.3.5, 9.2.2 Zwoll, K., 5.3

SUBJECT INDEX

Subject Index Abbe refractometer, 160 Abbe theory, 420 Abelian module, 937 Aberrations (see also Systematic errors) centroid displacements, 494 coefficients, 426 geometrical, 46, 83, 86, 493 in powder diffractometry, 46, 48, 50 line-profile breadths, 494 of an energy-dispersive diffractometer, 497 physical, 46, 85, 86, 493, 494 refraction, 492 transparency, 49 Absolute calibration of SANS data, 108 Absolute intensity in SANS, 108 Absolute measurements, 505 of lattice spacings, 505, 526, 529±533 Absorbed dose, definition of, 958 Absorption, 599, 609, 653 air, 73 anomalous, 416 coefficients, 213, 218 coefficients for Bloch waves, 735 coefficients for neutrons, 461 coefficients, linear, 599 coefficients, mass, 600 cross sections, macroscopic, 461 edges, 191, 202, 205, 206, 209, 599 edges, wavelengths of, 205±211 effects, 261 efficiency, 623 factor, 51 function, 261 in XED, 86 length, 188 minimization by suitable mounting of single crystals, 163 of generated X-rays in target, 191 photoelectric, 599 systematic error, 528 systematic error, elimination, 521±524, 528±529 X-ray, 599±608 Absorption corrections, 170, 600±608 neutron diffraction, 177 Accelerating voltage fluctuations, 424 of a transmission electron microscope, determination, 539 Accessible range of d's, 38 Accuracy, 490, 492, 707 factors determining, 501 Accuracy of lattice-parameter (lattice-spacing) determination, 505, 507, 526, 533±536 evaluation, 534 (methods of) increasing, 532±536 relative, 505 Acoustic modes, 653, 654 Activity, definition of, 958 Adequate protection, definition of, 958 Adhesives for mounting specimens, 163 Aggregation effects in SANS, 107 Air absorption, 73 Air and window transmission, 73 Air scattering, 74, 665 ALCHEMI (atom location by channelling enhanced microanalysis), 411 Alignment and angular calibration, 46

Aluminium dielectric coefficients, 402 effective number density, 411 film, 393 Ambiguities in modulated structure notation, 936 Amorphous material, diffraction from, 24 Analyser, 530 perfect-crystal, 665 Analysis of charge density, 713±734 Analysis of spin density, 713±734 Analytical extrapolation of lattice parameters, 493 Anatase, high-energy resolution spectra, 408 Anger camera for neutrons, 650 Angle definition, use of peak or centroid for, 63 Angle-dispersive diffractometry, 491, 495±496 Angle-reading error, 524 Angle-setting error, 524 Angles between crystal blocks, determination, 516 Angles in direct and reciprocal space, 4 Angles of reciprocal cell, determination, 517 Angular distribution of reflections in Laue diffraction, 29 Angular momentum, 727 orbital, 731 Angular setting errors (precession), 35 Angular-velocity factors, 596 Anharmonicity, 585, 722 Anisotropic mosaic crystals, 432 Anisotropic temperature factors, 697 Anisotropic thermal diffuse scattering correction, 654 Anode current/voltage relationship in electrochemical thinning, 175 Anomalous absorption, 416 Anomalous dispersion (scattering) (see also Dispersion), 21, 188, 241, 733 not anomalous, 241 Anomalous transmission, 116 Anti-equi-inclination setting, 31 Antiferromagnetic order, 728 Antiferromagnetism, 140 Antiferromagnets, 728 Antimorphism, 897 Antiscatter slits, 45 Aperiodic lattice, 921, 928, 937 Approximations Born, 591 Born±Oppenheimer, 713, 722, 723 commensurate, 909 convolution, 723 crystal-field, 729 dipolar, 731 first Born, 389 Glauber, 391 harmonic, 723 Hartree±Fock, 732 impulse, 657 kinematical, 260 LCAO, 723 Moliere high-energy, 260 no-upper-layer-line, 415 phase-grating, 260 projected charge-density, 423

984

c:\itfc\sindex.3d

Approximations quasi-Gaussian, 590 two-beam, 260 weak-phase-object, 423 Archimedes method for density measurement, 158 Area-detector diffractometry, 36, 170 Area detectors, geometric effects, 41 non-uniformity of response, 41 television, 630 Arithmetic crystal classes, 15, 897, 898, 911, 917, 939, 945 (3+1)-dimensional, 917 as classification of space groups, 15 classification by size, 20 derivation of, 15 four-dimensional, 15 notation for, 15 one-dimensional, 15, 16 three-dimensional, 15±20 two-dimensional, 15, 16 uses of, 15 Arithmetic equivalence, 911, 939 Arithmetic point groups, 914 Arithmetically equivalent point groups, 939 Arrangements giving partial reduction of systematic errors, 515, 514, 521±523, 526, 528±531 Associated Legendre polynomials, 581 Astigmatism, 421, 424 Asymmetric Bragg reflections, 526 Asymmetric (Straumanis) film mounting, 509 Asymmetry factor, 118 of peaks, 67 Asymptotic behaviour of SANS curves, 110 Atom-centred expansion, 729 Atom-centred models, 714 Atom-centred spherical harmonic approximation, 714 Atom location by channelling enhanced microanalysis (ALCHEMI), 411 Atomic beams, 189 Atomic dipole moment, 716 Atomic environment types, 776 Atomic form factor, 242 Atomic orbital basis, 722 Atomic quadrupole moment, 717 Atomic scattering factors, 188, 242, 259 analytical approximation for (tables), 578± 581 for electrons (tables), 263±281 free atoms (tables), 555±564 generalized, 565 ions (tables), 566±577 Atomic volumes, 774 Attenuation coefficients, 213, 230, 600 Auger shifts, 204, 205 Automation, computer-controlled, 63 Avalanche multiplication, 619, 634 Avalanche production, 626 Average structure, 913 Avogadro constant, determination of, 534 Axial divergence, 46, 50, 53, 494, 497 Axial-divergence error, 494, 523 correction for, 523 Axial holography, 427

SUBJECT INDEX Axial lengths, determination of, 532 Axial reflections, 517 Back reflection, 512±515 Backgammon ( jeu de jacquet) counter, 627 Background, 68, 661 in SANS, 108, 109 Background counting rates, 667 Background radiation, definition of, 958 Backlash in diffractometer drives, 47, 503, 667 Balanced filters, 74, 78, 79, 238 Bandwidth, 197 Basic polytypes, 763, 766, 767 Basic structural features, 745±944 Basic structure, 909 Basis conventional, 944 crystallographic, conventional, 3 crystallographic, non-primitive, 3 crystallographic, primitive, 2 primitive reciprocal, 2 standard, 944 vectors, 944 Bayerite family, 766 Bayes's theorem, 681 Beam centring, 45 Beam conditions, 120 Beam divergence, 45, 425, 498 Beam-splitting crystal, 531 Beam tilt (see also Misalignment), 524 Becquerel, definition of, 958 Bending magnets, 198 Bent crystals, 77 Berg±Barrett method, 114 Beryllium, cross section for neutrons, 439 Beryllium acetate, 663 Bessel function, 589, 666 spherical, 460, 581, 592 Best linear unbiased estimator, 680 Best overall fit, 493 Beta function, 703 Bethe approximation, 736 Bethe ridge, 411 Bethe theory for inelastic scattering, 406±408 Bias, 689, 707, 709 of midpoint of a chord, 520 of peak, 520 Bijvoet-pair intensity ratios, 251 Bijvoet-pair techniques, 251 Binding effects, 391 Biological macromolecules, SANS, 105 Birefringence, 153 of polytypes, 757 Black-body radiation in X-ray region, 198±199 Blackman curve, 81 Blind region, 34 Bloch standing waves, 411 Bloch-wave method, 259, 415±416, 426, 735 Block collimation, 99 Block polytypism, 760, 766 Boltzmann statistics, 726 Bond angles, 698 Bond lengths, 698, 813 Bond method, 498, 507, 508, 522±526, 529, 531, 534, 535±536 for small spherical crystals, 525 in multiple-crystal spectrometers, 529±531 systematic errors, 523±524 Bond-system diffractometers, 522, 524 Bonding electrons, distribution of, 425

Bonds, classification of, 791, 813 Bonse±Hart camera, 100 Bonse±Hart interferometer, 121 Born approximation, 591 first, 389 Born±Oppenheimer approximation, 713, 722, 723 Born series, 259 Borrmann effect, 113, 116, 600 Borrmann triangle, 116 Bound nuclear scattering lengths, 593 Boundaries, low-angle, 114 Bragg angle, 187 accuracy of, 505±506, 516 determination, 506, 519, 521 errors, 491, 494 from a diffraction profile, 519±521 from a photograph, 519 from a two-dimensional map of intensity, 522 measurement of, 505, 518 operational definitions, 491 Bragg±Brentano (Parrish) angle-dispersive diffractometers, 44, 495, 664 Bragg cut-off, 438 Bragg law, 505 Bragg optics, 432 Bragg reflection, 3, 432 magnetic, 591 Bravais classes, 910, 913, 940, 945 (2+l)-dimensional, 915 (2+2)-dimensional, 916 (3+l)-dimensional, 917±918 one-line symbols, 915, 920 two-line symbols, 915, 920 Bravais lattice, 3, 15, 913 Brazil twins, 11 Bremsstrahlung, 37, 191 for XED, 84 Brilliance, synchrotron radiation, 197 Brillouin zone, 657 Broadening function, 710 Brownian diffusion, 589 Broyden±Fletcher±Goldfarb±Shano update, 684 Cadmium iodide, 754, 756 Cadmium telluride detector, 623 Calculated powder patterns, 60 Calculation of the twin element, 14 Cambridge Structural Database, 790, 812 Camera methods for lattice-parameter determination, 491, 497 Camera radius extremely large, 510 uncertainty, elimination, 510 Camera tubes high-resolution TV, 633 lead oxide, 634 Cameras back-reflection, 71 Bonse±Hart, 100 cylindrical, 70 Debye±Scherrer, 42, 70 ellipsoidal mirror in SANS, 106 flat-film, 71 for recording lattice-parameter changes, 510 Gandolfi, 71 Guinier focusing, 44, 68, 70 Kossel, 512 Kratky, 99

985

c:\itfc\sindex.3d

Cameras mirror, 106 miscellaneous, 70 pinhole, in SANS, 106 pinhole, in SAXS, 100 powder, 69±71 small-angle, 99 systems for synchrotron radiation, 100 Capillary tubes for mounting specimens, 162 Carcinogenesis, 960 Cast films, 176 Castaing & Henry filter, 397 Categories of OD structures, 764 Cauchy curves, 67 Cauchy distribution, 689 Causality, principle of, 246 CBED (convergent-beam electron diffraction), 416, 540, 735 CBED disc, 417 Cell dimensions, incorrect assignment, 170 Cellulose film containers, 162, 163 Central-limit theorem, 702 Centre of gravity (centroid), 518 additivity, 518 variance, 518 Centred lattices, 3 Centred unit cells, 3 Centring conditions, 921 Centring lattice vectors, 3 Centring reflection conditions, 921 for (3+1)-dimensional Bravais classes, 935 Centroid of a reflection, 492 Centroid of wavelength distribution, 494 Ceramics, preparation of specimens, 171 Cerenkov radiation, 401 Cerium oxide (intensity standard), 500, 503 Channel-cut monochromators, 77, 121 Channelling, 189 Characteristic function, 90 Characteristic line spectrum, 191, 202 Characteristic radiation, efficiency of production, 192 Characteristic X-rays, excitation of, 510 Characterization of detectors, 639 Charge, 187 Charge-cloud model, 715 Charge-coupled devices, 629 Charge densities, analysis of, 713±734 Chemical analysis, 154 etchants for thin section preparation, 173 etching, 173 polishing, 174 properties, 154 thinning, 175 Chi-squared (2 ) distributions, 702, 703 Chiral volumes, 700 Chlorite group, 765, 769 Chlorite±vermiculite group, 769±770 Choice of reflections, 535 Cholesky decomposition, 681, 685 Cholesky factor, 678, 681, 694, 708 Choppers, 443 Chromatic aberration constant, 423, 424 Chromium oxide (intensity standard), 500, 503 Circle packings, 746±747, 752 Classification of bonds, 791, 813 of experimental techniques, 24 of space groups, 15 Cleavage, 153

SUBJECT INDEX Close-packed structures, 752, 761, 897 interstices in, 753 lattices possible, 755 notations for, 753±754, 756 polytypes, 754±756 space groups possible, 755 spheres, 747, 752 stacking faults in, 758±760 structure determination of, 756±758 symmetry of layers, 753 symmetry of stacking, 755 voids in, 753 Cobalt martensites, stacking faults in, 758 Coherent inelastic scattering, 177 Coherent multiple scattering, 661 Coherent (Rayleigh) scattering, 554 Coherent scattering cross sections, 594 Coherent scattering lengths, 594 Cohesive energy, 721 Coincidence operations, 761 Cold neutrons, 105 Collimation, 37 block, 99 in-plane, 522 of neutrons, 105, 431 systematic errors connected with, 523±524 Collimators misalignment (tilt), 523±524 misalignment (tilt), error, 524 Soller, 82, 443 Collinear structures, 591 Colour groups, 21 Column approximation, 414 Combined aberrations, 50 Combined methods, spectrometers for, 531 Commensurate approximation, 909 Commensurate modulated structures, 907±944 Comparison measurements of lattice parameters, 508 Compensating transformations, 940 Compensating translations, 940 Composite crystal structures, 907, 941 Composition surfaces, 10 Compton scattering, 90, 213, 242, 554, 599, 657±661, 663, 713 non-relativistic approximations, 657±659 relativistic treatment, 659±660 Compton shift formula, 657 Compton wavelength, 260 Computer-controlled automation, 63 Computer graphics for powder patterns, 69 Computer programs CRYSTIN, 778 data processing, 596 Computer simulation in estimation of error, 536 Computing methods for electron diffraction, 425 Concentration effects, 97 elimination of, 98 Condensed models, 766 Condition number, 678, 682 Conditional probability density function, 679 Conditional Q±Q plot, 708 Conditioning, 684 Cone-axis photography, 35 Confidence level, 64 Conic section, 515 Conical surface of an hkl reflection, 510 Conjugate-gradient methods, 686

Conservation laws, 657 Constrained models, 693 Constraints in refinement, 693, 693±701 Contact number, 747, 749 Continuous spectrum, 192 Contrast diffraction, 113, 735 extinction, 113 first-fringe, 116 match-point, 107 orientation, 113 variation in SANS, 107 variation in SAXS, 97 variation, inverse, 108 variation, spin, 108 Conventional basis, 3, 945 Conventional unit cell, 913 Conventional X-ray sources, 37 Convergent-beam electron diffraction (CBED), 80, 416, 417, 540, 735 Convolution, 66, 505, 518, 534 Convolution equations, 67 Convolution of rocking curves, 663 Convolution range, 66 Convolution square-root technique, 103 Coordination complexes, typical interatomic distances, 812±896 Coordination number, 774 Core-electron spectroscopy, 404 Core-loss spectroscopy, 404 Correction factor for absorption and extinction, 612 for powders, 657 Correction of systematic error, 653 Correlated and uncorrelated mosaic blocks, 610 Correlation coefficients, 724 Correlation energy, 391 Correlation function, 90 Correlation length, 93 Correlations between recorded intensities, 519 Corundum etching, 173 intensity standard, 500, 503 Coulombic self-electronic energy, 721 Counters backgammon ( jeu de jacquet), 627 gas-filled, 626 Geiger±MuÈller, 522 parallel-plate, 627 Counting losses, 625 Counting modes, 666 Counting rates, 666±668 background, 667 erratic fluctuations, 666 reflection only, 666 total, 666 Counting statistics, 64, 666±668 Critical-voltage effect, 416, 736 Critical wavelength, 196 Cross sections differential scattering, 260 dispersion corrections, 221 elastic differential scattering, 262 ionization, 407 of a rod-like particle, 93 PDDF of, 102, plasmon, 399 scattering and absorption, 439, 444 Cryoprotectants, 166,

986

c:\itfc\sindex.3d

Crystal(s) analysers, 56 datum orientation, 33 definition of, 908 displacively modulated, 909 edges, 3 ideal, 908 ideally imperfect, 113 ideally perfect, 113 intergrowth, 941 misalignment (tilt), 424 misalignment (tilt), error, 524 modulated, 908 monochromators, 76, 662 mosaicity, 170 normal, 908 orientation matrix, 33 real, 419 reflecting power, 590 rocking curves, 34, 37, 40 rocking widths, 33 selection, 148, 151 slippage within capillary, 165 systems, 6 Crystal classes arithmetic, 15, 911, 945 geometric, 15, 911, 913 Crystal-field approximation, 729 Crystal-lattice vector and crystal setting, 168 Crystal profile, 505 Crystal-size analysis, 81 Crystal structure determination by HREM, 419 images, 422 Crystal systems cubic, 9, 19 hexagonal, 7, 15, 19 monoclinic, 6, 16 oblique, 15 orthorhombic, 6, 16 rectangular, 15 rhombohedral, 8 square, 15 tetragonal, 7, 17 triclinic, 6 trigonal, 7, 18 Crystal thickness determination by electron diffraction, 416, 419 in transmission geometry, 512, 513 Crystalline solids, 259 Crystallite-size effects, 62 Crystallization, 148 Crystallographic system, 940 Cubic closest packing, 747 Cubic crystal system, 9, 19 Cubic harmonics, 585 Cumulant expansion, 588 Cumulative distribution function, 679 Current density, 725 Current ionization position-sensitive detectors, 628 Curvature, lattice, 114 Curvilinear density functions, 588±590 Cusp constraint, 715 Cyclic twins, 10 Cylinder elliptic, 92 homogeneous, 96 inhomogeneous, 96 Cylindrical camera, 70

SUBJECT INDEX Cylindrical collimators, 432 Cylindrical detector recording, 32 Cylindrical powder cameras, 70 Cylindrical powder specimens, 57 Cylindrical sample 2 scan, 57 for neutron diffraction, 177 d orbital occupancies, 722 Darwin width, 662 DAS (differential anomalous X-ray scattering) technique, 218 Data evaluation, 100 Data processing program for intensity factors, 596 single-crystal methods, 505, 517, 536 Databases inorganic structures, 778 organic structures, organometallic structures and coordination complexes, 790, 812 powder diffraction, 81 Datum orientation of the crystal, 33 Dauphine twins, 11 Davidon±Fletcher±Powell update, 684 de Broglie's law, 186 Dead-time, 619, 624, 666 Debye formula, 104 Debye±Scherrer camera, 70, 162 aberrations in, 498 Debye±Scherrer±Hull method, 42 Debye±Waller factor, 415, 729, 735 Deconvolution in SANS, 107, 111 techniques, 393 Defect types, electron diffraction, 424 Defects, 419 images, 426 lattice, 113 study of, 506, 531 viewed by an imaging system, 633 Deformation density, 714 Deformation map X ± N, 714 X ± X, 714 X ± (X+N), 714 Degrees of freedom, 703 Delay-line read-out, 627 DelbruÈck scattering, 242 Dense systems in SANS, 112 Densitometry, 618 Density, 154 Density functionals, 721 Density measurement Archimedes method, 158 flotation, 158 gradient tube (column), 156 immersion microbalance, 158 penetration or swelling of solid, 156 pycnometry, 158 vibrating-string method, 158 volumenometry, 158 Depth-profiling analysis, 58 Derivative lattice, 11 Designated radiation area, definition of, 958 Desymmetrization of OD structures, 765 Detection efficiency, 624 limits, 410 of systematic error, 498±499, 707±709 quantum efficiency, 639 systems, 397, 663

Detection processes (neutrons), 644±652 electronic aspects, 648±649 films, 646 gas ionization, 644±646 neutron capture, 644 scintillation, 645±646 Detection systems (neutrons), 649±651 Anger camera, 650 corrections, 652 gas position-sensitive, 650 position-sensitive, 649±651 single detectors, 649 Detective quantum efficiency (DQE), 624, 639 Detector recording cylindrical, 32 plane, 32 V-shaped, 32 Detector-response correction in SANS, 109 Detectors background from, 663 characterization, 639 energy-dispersive, 622, 663 for electrons, 639 for neutrons, 644, 649 gas-filled, 82 imaging, 623 in X-ray spectrometers, 522, 529±531 multiwire, 82 position-sensitive, 82, 87, 100, 113, 664 resolution of, 82 scintillation, 642, 664 semiconductor, 622±623, 629, 642 single-wire, 82 solid-state, 82, 664 with wide-open window, 522, 527 Detectors for X-rays, 618±638 Geiger counters, 618 photographic film, 498, 618 proportional counters, 619 scintillation counters, 619 solid-state detectors, 620 Diagram levels, 191 Diamagnetism, 154 Dielectric coefficients, 401 Dielectric description, 399 Difference densities, 714 Differential anomalous X-ray scattering (DAS) technique, 218 Differential methods, 527 Differential scattering cross section, 260 Diffraction contrast, 113, 735 coordinates, 31 geometry, practical realization, 36 grazing-incidence, 58 imaging, 124 intensities, 596 spot size and shape, 37, 39 topography, 113, 124 Diffraction absorption fine structure (DAFS), 254 Diffraction profile, 48, 528, 530 asymmetry of, 521 broadening of, 521 double-crystal, 528 (in) standardized (form), 519 location of, 518 narrow, 528, 530 parameters of, 528 shape of, 521 symmetric, 528

987

c:\itfc\sindex.3d

Diffractometers alignment, 46 area-detector, 36, 170 background scattering with, 664 Bragg±Brentano, 495 double-crystal in SANS, 106 for powder diffraction, 42 four-circle, 170, 516 gears, 503 inclination, 517 kappa, 36 neutron powder, 82, 652 neutron powder, high-resolution, 541 operation control, 64 Seemann±Bohlin, 492, 495 three-circle, 170 Diffractometry, 36 angle-dispersive, 491, 495±496 energy-dispersive, 491 Diffuse scattering, 261 Diffusion, Brownian, 589 Digital image processing, 635 Dimension of a lattice, 945 Dioctahedral sheet, 767 Dipolar approximation, 731 Dipole, 716 Dipole moment atomic, 717 molecular, 724 Dirac±Fock, 205 Direct and reciprocal lattices, 2 Direct crystallization, 174 Direct image, 115 Direct lattice, 412, 911 Direct-lattice parameters, 505 Direct method, X-ray detectors, 634 Direct structure analysis, 103 Direction angles of a crystal face, 4 Disc specimens, 171 Disc thinning method, 174 Dislocations, 114 Dispersion, 21, 75, 590, 600 Dispersion corrections, 241±258 for XED, 86 tables of, 255±257 theory of, 243 Dispersion surfaces, 416, 417, 736 Displacive modulation, 907 Distance distribution functions, 104 Divergent-beam techniques, 510±516 classification, 512 Dopant concentration, study of, 531 Dose equivalent, definition of, 958 Double-beam comparator, 531 diffractometer, 531 spectrometer, 531 technique, 531 Double-crystal diffraction profile, 528 Double-crystal diffractometer in SANS, 106 Double-crystal monochromator (at synchrotron), 39 Double-crystal spectrometers, 528±530 combined with double-beam technique, 531 with photographic recording, 510, 529 with symmetric (Bond) arrangement, 529 with white X-radiation, 529 Double-crystal topography, 117 Double-oscillation method, 168 DQE (detective quantum efficiency), 624 Drift chambers, 626

SUBJECT INDEX Drude model, 400 Du Mond diagram, 117 Duane±Hunt limit, 192 Dynamic measurements, 626 Dynamic R factor, 427 Dynamic range, 624 Dynamical diffraction, 80 Bloch-wave method, 41 calculations, 261 many-beam, 80 multislice method, 414 Dynamical wave amplitudes, 414 Eccentricity error, 524 elimination, 521±523, 529 EELS (electron energy-loss spectroscopy), 219, 391±412, 428 Effect on lattice parameters of electric field, 508 of irradiation, 525 of pressure, 508 of temperature, 507, 510, 516, 522, 524, 529 Effective misorientation, 119 Efficiency of the production of characteristic radiation, 192 Eigenvalue filtering, 510 Eigenvalues, 678 Eigenvectors, 678 Elastic constants, 654 Elastic differential scattering cross section, 262 Elastic scattering, 416 factors, 262 neutron, 727 Elastic specular neutron diffraction, 126 Elastic stiffness constants, 654 Elastic wave, velocity of, 654 Electric field gradient, 719 Electrical properties, 154 Electrochemical thinning, 175 Electromagnetic waves, 186 Electron beam, misalignment, 424 Electron binding energies, 203 Electron density, 90, 713 experimental, errors in, 724 thermally smeared, 723 Electron diffraction, 259 absorption effects, 188, 261 boundary conditions, 259 computing methods, 425 convergent-beam, 80, 735 crystal thickness, 188, 419 detectors for, 639±643 determination of crystal thickness, 416, 419 HOLZ technique, 538 interaction constant, 259 intensities, 416 Kikuchi technique, 538 lattice-parameter determination, 537 measurement of structure factors, 416 oriented texture patterns, 412±414 pattern analysis, 537 pattern indexing, 537 patterns, 80, 390 potential field, 259 preparation of specimens, 171 propagation function, 259 reciprocal-space representation, 412 relativistic values, 259

Electron diffraction scattering factors, 188, 259 selected-area, 80, 538 structure factors, 416 transmission function, 259 useful parameters as a function of accelerating voltage, 281 Electron diffractometry, 413 Electron distributions, 713 Electron energy-loss near-edge structure (ELNES), 408 Electron energy-loss spectrometry Castaing & Henry filter, 397 crystallographic information from, 397 parallel detection, 397 Wien filter, 396 Electron energy-loss spectroscopy (EELS), 219, 391±412, 428 aberrations in, 396 analysers for, 395 detection systems, 397 monochromators for, 395 non-characteristic background, 394 spectrometers for, 394±397 types of excitation in, 393 Electron holography, 426, 427 Electron inelastic scattering, 378 Electron kinetic energy, 721 Electron microscopy, 80, 419 preparation of specimens, 171 Electron multiplication in position-sensitive detectors, 622±623 in proportional counters, 623 Electron paramagnetic resonance, 190 Electron scattering amplitudes, 259 inelastic, 391 Electron spin, interaction with neutron spin, 725±726 Electron transitions, 261 Electron-transparent specimens, 171 Electron-tube device for measurement of intensities, 642 Electron wavelength of a transmission electron microscope, determination, 540 Electroneutrality constraint, 715 Electronic detectors, 639 Electronic instability, 424 Electrons properties, 187 scattering factors, 262 wavelength, 424 Electropolishing, 174 Electrostatic moments, 716, 717, 718 Electrostatic potential, 186, 718 Electrostatic properties, 721 Elimination of concentration effects, 98 Ellipse and ellipsoid packing, 751±752 Ellipsoid, 92 Ellipsoid of revolution, 94 Ellipsoidal-mirror SANS camera, 106 Elliptic cylinder, 92 ELNES (electron energy-loss near-edge structure), 408 Emission lines, 202, 203, 204, 206, 209 Emission-spectrum profile, 519 Empirical correction factor for preferred orientation, 61 Empirical metallic radii, 774 Enantiomorphous pairs of space groups, 20 Energy discrimination, 625

988

c:\itfc\sindex.3d

Energy-dispersive analysis, 428 detectors, 625, 641, 663 diffraction, 58, 619 diffractometer, aberrations of, 497 methods, in lattice-spacing determination, 496, 507 neutron diffraction, 87 techniques, 496 X-ray diffraction, 84, 619 Energy-filtered lattice images, 428 Energy-flow triangle, 115 Energy-flow vector, 119 Energy-loss spectrometer, 395 Energy of radiation, 187 Energy resolution, 396, 619, 620, 622 Enhanced symmetry, 13 Entrance slit, 45 Entropy maximization, 691 Epitaxic formation, 176 Epitaxic layers, study of, 516, 529 Epitaxy, 153 EPR (electron paramagnetic resonance), 190 Equatorial divergence, 497 Equatorial geometry, 516 Equi-inclination setting, 31 Equivalent origins, 15 Equivalent superspace groups, 940 Erratic fluctuations in counting rates, 667 Errors (see also Aberrations, Systematic errors) and aberrations in lattice-parameter measurements, 490 and uncertainties in wavelength, 493 in angle reading, 524 in angle setting, 524 in experimental electron density, 725 of the Bragg angle, 491 Escape peaks, 622 Estimated standard deviation, 707 of an observation of unit weight, 702 Estimates, 680 Etch figures, 153 Etching chemical, 173 corundum, 173 ion sources, 173 sputter, 173 Euclidean norm, 678 Eulerian angles, 694 Eulerian-cradle diffractometer, 517 Eulerian-geometry diffractometer, 517 Evaporated thin films, 173 Ewald sphere, 26, 526, 656 EXAFS (extended X-ray absorption fine structure), 24, 189, 213±220, 254, 409 Exchange-correlation energy, 721 Excitation errors, 414 Excitation of characteristic X-rays, 510 EXELFS (extended electron fine structure), 409 Exit beam, extremely parallel, 532 Expectation values, 679 Experimental techniques classification of, 24 for crystal structure analysis, 25 Exposure of radiation, definition of, 958 Extended electron fine structure (EXELFS), 409 Extended solids, 730

SUBJECT INDEX Extended X-ray absorption fine structure [(E)XAFS], 24, 189, 213±220, 254, 409 facilities for, 219 External space, 944 External standard, 499 External vibrations, 723 Extinction, 113, 599, 728 contrast, 113 correction factor for, 612 correction, neutron diffraction, 177 correction, XED, 86 distance, 736 length, 187 primary, 609, 610 secondary, 609, 611 symbol, 13 Extrapolated (midchord) peak, 518 Extrapolation in lattice-parameter determination, 505, 510, 521±522, 535 analytical, 493±494 graphical, 493 F distribution, 702 Face normals, 5 Face or cleavage plane of a crystal, 4 Factors determining accuracy, 501 Family diffractions, 765 Fano factor, 626 Fano plots, 408 Faraday cage, 642 Faster-than-sound neutrons, 657 Faults in polytypes, 758±760 Feasible point, 693 Fermi chopper, 443 Fermi level, 398 germanium, 406 heavy metals, 406 sulfur, 406 transition elements, 406 Fermi pseudopotential, 444 Ferrimagnetism, 154 Ferroelectricity, 154 Ferromagnetism, 154 Ferromagnets, 728 Fibre optics, 632 Fibre texture, 414 Fibres, diffraction from, 24 Film aluminium, 393 for neutrons, 646 germanium, 394 Film shrinkage, 498 error, elimination of, 509 Filters, 38, 76 balanced, 74, 78, 238 Castaing & Henry, 397 for common target elements, 79 for neutrons, 438 for X-rays, 236 graphite, 82 optimum-thickness, 238 polarizing, 438, 440 single, 78 thickness, 78 wavelength change by, 239 Wien, 396 with scintillation counters, 621 Fine-grained substances, oriented texture patterns, 412 First-fringe contrast, 116 First-order Laue zone (FOLZ), 417, 418

First/second derivatives, 65 Fixed-count timing, 667 Fixed-time counting, 666 Flat-cone setting, 31 Flat crystal, 77 Flat-crystal monochromator, 39 Flat-film camera for Laue patterns, 70 Flat particles, 95 cross-sectional inhomogeneity, 96 molecular weight, 93 Flat-specimen aberration, 47, 48 Flipping coil, radio-frequency, 728 Flipping ratios, 592, 728 Flotation, 158 Fluctuations in particle orientation, 61±62, 492 in recording counts, 492, 666 Fluorescence radiation, 657 Fluorescence scattering, 661 Fluorescence spectroscopy, 619 Fluorescence techniques, 218 Fluorescent screens, 640 Fluorophlogopite reflection angles, 503 Focal-line width, 48 Focusing diffractometer geometries, 43 Focusing geometry, 83 Focusing monochromator, 82 Focusing, neutron scattering, 443 Focusing powder camera, 70 Fog density, 618 Fog level, 640 Foil detector, 645 FOLZ (first-order Laue zone), 417, 418 Forbidden reflections, 527 Form factors, magnetic, 454, 591 Four-circle diffractometer, 516 Four-dimensional crystal classes, 16 Fourier imaging, n-beam, 422 Fourier integral, 89 Fourier-invariant expansions, 586 Fourier potential, 735 Fourier series, 89 Fourier transformation, 89 indirect, 111 techniques, 393 Free-electron gas Drude model, 400±401 Lorentz model, 400 Free-radical scavengers to improve crystal lifetime, 166 Free scattering length, 594 Frequency of space groups, 15 Fresnel diffraction theory, 259 Friedel-pair intensity ratios, 251 Friedel-pair techniques, 251 Friedel's law, 913 Fringe patterns, stacking-fault, 116 Fringe period, 419 Fringe visibility, 421 Full symbols for superspace groups, 921 Gallium selenide, 754 Gamma function, 702 Gamma rays, 187 Gas amplification, 626±627 Gas detector for neutrons, 644 Gas-filled counters, 82, 626 Gas multi-electrode position-sensitive detectors for neutrons, 650 Gas multiplication, 626 Gauss±Markov theorem, 680

989

c:\itfc\sindex.3d

Gauss±Newton algorithm, 683, 690, 693 Gaussian curves, 66, 711 Gaussian fits to X-ray scattering factors, 261 Gaussian radial functions, 724 Geiger counter, 618 Gelatine capsules, 163 Generalized Bessel function, 666 Generation of X-rays, 191 Generator stability, 72 Geometric crystal classes, 15, 911, 945 Geometrical aberrations, 41, 493 for XED, 86 Geometrical analysis of oriented texture patterns, 412 Geometrical instrument parameters, 44 Geometrical peak, 518 Geometry of SANS, 106 Germanium, Fermi level, 406 Germanium film, 394 Gibbs instability, 415 Gibbsite±nordstrandite family, 766 Gittergeister (lattice ghosts), 907 Givens rotations, 679 Glauber approximation, 391 Globular particles, 93 Glove box, definition of, 959 Gnomonic transformations, 29 Gold, dielectric coefficients, 401 Goodness-of-fit parameters, 702, 707 Gordon±Kim model, 721 Gradient tube (column) cavities, problem of, 156 Ficoll gradient, 157 inclusions, problem of, 156 shallow gradient, 157 Gram±Charlier series expansion, 586 Graphical extrapolation of lattice parameters, 493 Graphite dielectric functions, 403 monochromator, 37, 38, 51, 620 Gray, definition of, 959 Grazing-incidence diffraction, 58 Grigson scanning method, 81 Growth striations, study of, 530 Growth twins, 10 Guinier and Tennevin technique, 119 Guinier approximation, 92, 110 Guinier camera, 162 Guinier focusing, 70 Half-life, definition of, 959 Half-width, 506, 519, 522, 526, 528 (methods of) reducing, 526 minimum, 506 of wavelength distribution, 506 Hamilton's R-factor ratio test, 704 Hankel transform, 102 Hard-sphere interference model, 98 Hard X-rays, 187 Hardness, 153 Harmonics, cubic, 585 Hartree±Fock approximation, 732 model, 243 self-consistent field, 659 wavefunctions, 460 Hat matrix, 705 Heat capacity, 154 Heavy metals, Fermi level, 406 HEED (high-energy electron diffraction), 412

SUBJECT INDEX Helimagnetic order, 728 Hellmann±Feynman constraint, 715 Hermite polynomial tensors, 586 Hessian matrix, 684 Heterogeneous packing, 746 Hetero-octahedral sheet, 767 Hexacontatetrapole, 716 Hexadecapole, 716 Hexagonal closest packing, 747, 752 crystal system, 7, 15, 19 High-angle annular dark-field (HAADF) images, 428 High-angle Bragg reflections in latticeparameter determination, 509, 522, 529, 532 High-energy electron diffraction (HEED), 412 High-order Laue zone (HOLZ), 418, 424, 538, 539 High-pressure structural studies, 87 High-purity germanium detector, 622 High-resolution electron microscopy (HREM), 261, 419, 773 High-resolution energy-dispersive diffraction, 58 High-resolution experiments, 97 High-resolution powder diffractometers D2B at Institut Laue±Langevin, 541 HRPD at Rutherford Appleton Laboratory, 541 High-sensitivity lattice-parameter comparison, 531±532 High-tension supplies, unsmoothed, 667 Higher-dimensional crystallography, 908 Histogramming memories, 626 Hohenberg and Kohn theorem, 721 Hollow cylinders, 92 Hollow particles, 96 Holographic reconstructions, 427 Holohedry, 12, 939, 945 HOLZ (high-order Laue zone), 418, 424, 538, 539 Homogeneous cylinder, 96 Homogeneous packing, 746 Homogeneous particles, 93 Homogeneous triaxial bodies, 92 Homometric mapping, 751 Homo-octahedral sheet, 767 Horizontal divergence, error, 525 Horizontal Soller slits, 56 Householder transformations, 679, 686 HREM (high-resolution electron microscopy), 261, 419, 773 Hydrogen-atom scattering factors, 565 Hydrogen bonding, 906 Hyperbolic Bessel function, 666 Hyperfine interaction, 732 Hyper-resolution, 427 Hypothesis testing (no remaining systematic errors), 523 ICDD Powder Diffraction File, 81 Icosahedral viruses, SANS, 111 Ideal crystals, 908 Ideally imperfect crystals, 113 Ideally perfect crystals, 113 Idempotency conditions, 722 Idempotent, 705 Identity period, 752 Identity period determination, 508 accuracy of, 510

Ill-conditioned least-squares problems, 101 Image intensifiers, 122, 632, 635 Image processing, 427, 635 Imaging detectors, 623 Imaging plates, 426, 635, 641 Immersion microbalance, 158 Impulse approximation, 657 Incidence aperture, 53 Incident-beam monochromatization, 120 Incident-beam monochromator, 53 Inclination diffractometer, 517 Inclination of plane of specimen, 494 Incoherent elastic scattering cross section, 595 Incoherent multiple scattering, 108, 661 Incoherent scattering, 177, 554 Compton, 90 cross section, 594 functions (Table 7.4.3.2), 658 level, 109 Incommensurate modulated structures, 907±944 Index of refraction, 600 Indexing powder patterns, 541 Indirect method, X-ray detectors, 634 Indirect transformation method, 101 Indium antimonide, dielectric coefficients, 401 Induced matrix norm, 678 Inelastic coherent scattering, 109 Inelastic crystal excitations, 425 Inelastic scattering, 378, 416, 657 Bethe theory, 406±408 electrons, 391 neutrons, 391 Inelastic scattering factors for electrons (Table 4.3.3.2), 378±388 Inelastically scattered electrons, 81 Influential data points, 705, 708 Information resolution limit, 424 Infrared radiation, 187 Inhomogeneities in matter, 105 Inhomogeneous cylinders, 96 Inhomogeneous particles, 96 Inner moments, 718 Inner surface area, 109 Inorganic compounds silicates, 766±769 typical interatomic distances, 778±789 Inorganic Crystal Structure Database, 778 Insertion devices, 197 Instrument parameters, geometrical, 44 Instrumental broadening and aberrations, 47, 101 Integrated intensity for XED and powder samples, 85 formulae for, 600 of a reflection, 668 Integrated reflections, 114 Intensity, 519 distribution, two-dimensional map, 522 of characteristic lines, 191 of diffracted intensities, 554±595 standards, 500 statistics, 519 variation with take-off angle, 74 Intensity factors, 596 angular velocity, 596 data-processing programs for, 596 in single-crystal methods, 596±598 polarization, 596 trigonometric, 596±598

990

c:\itfc\sindex.3d

Interatomic distances, 778±896 in inorganic compounds, 778±789 in metals, 774±777 in organic compounds, 790±811 programs for calculating, 778 Interaxial angles, determination, 525 Interband transition, 401 Interference model, hard sphere, 98 Interferometers Bonse & Hart, 121 Fabry±Perot, 533 Interferometry, combined optical and X-ray, 533±534 Intergrowth crystal structures, 907 Interlaboratory comparison, 536 Internal space, 912, 937, 944 standard, 499 translation, 912 Interparticle interference, 97, 98 Interpenetrating packing, 751 Interplanar spacing determination accuracy of, 505 precision of, 505 Interquartile range, 690 Intersecting-Kikuchi-line method, 736 Interstices in close-packed structures, 753 Intramolecular multiple scattering, 392 Intrinsic background (neutrons), 651 Intrinsic component, 917 Intrinsic efficiency, 622 Intrinsic part of a space group, 940 Inverse contrast variation, 108 Inversion twins, 10, 12 Ion-beam thinning, 171±173 Ion-implanted silicon, 525 Ion sources for etching, 173 Ionic radii, 778 Ionicity, degree of, 425 Ionization cross sections, 407 Ionizing radiation definition of, 958 protection from, 962±963 Irradiated area displacement of, 526 exactly defined, 522 Irradiated specimen length, 45 Irradiation, study of effects of, 516, 525 Isometric point groups (crystal classes), 939 Isotopic replacement, triple, 111 IUPAC notation, X-ray diagram levels, 191 Jagodzinski notation, silicon carbide, 754 Johann monochromator, 664 Johansson monochromator, 664 Joint probability density function, 679 K doublet, 62, 510, 512±515 K1 and K 1 wavelengths in lattice-spacing determination, 521 K2 radiation, elimination, 510 K line in lattice-spacing determination, 507 Kaolinite, 769 Kappa diffractometer (definition), 37 Kappa model, 714 Kikuchi lines, 419 Kikuchi patterns, 735 Kikuchi techniques, 538 Kinematic image, 115 Kinematic theory, 590 Kinematical approximation, 80, 260, 262

SUBJECT INDEX Kinetic energy, 721 Kitajgorodskij's categories, 897 Knife-edge calibration, 498 Kossel camera, 512 cone, 510, 514 lines, 510±515 lines, intersections of, 512±513 method, 510±516 pattern, 512±514, 735 plane, 513 Kramer's constant, 192 Kramers±Kronig transform, 245 Kratky cameras, 99 Label triangulation, 111 Labelling, 97 isotopic, 108 Lagrange polynomials, 111 Lagrange undetermined multipliers, 693 Lambda curves (Laue), 39 Lambda symmetry (operations), 763 Lamellar particles, 97 Lamellar textures, 412 Lanthanum hexaboride, instrumental sample, 501 Large-scale problems, 685 Larmor frequency, 728 Laser, He±Ne, 533 Laser plasma X-ray sources, 189 Latex particles, 107 Lattice(s) aperiodic, 937 Bravais, 3, 15, 913 centred, 3 curvature, 114 defects, 113 derivative, 11 dimension, 937 direct, 911 direct and reciprocal, 2 for close-packed structures, 755 holohedry, 939 point, 2 rank, 937 twin, 10 vector, 2 vector centring, 3 vector, reciprocal, 2 Lattice bases, standard, 938 Lattice-fringe images, 421 Lattice ghosts (Gittergeister), 907 Lattice-parameter changes, study of, 507, 510, 522, 525, 529±530 Lattice-parameter determination, 490±541 aberrations in, 493 absolute, 505, 525, 529±532 for rectangular systems, 528 from one crystal mounting, 509, 510 from separate photographs, 509 HOLZ techniques, 538, 540 inter-laboratory comparison, 536 Kikuchi techniques, 538±540 least-squares methods, 498 local, 525, 529, 532 neutron diffraction, 541 of cubic lattice, 528 of deformed lattice, 513±515 of imperfect crystal, 522 of large flat slab, 507, 522, 524, 527 of perfect crystal, 522

Lattice-parameter determination of polycrystals (Kossel method), 515 of single crystals, 505±536 of small spherical crystals, 507, 525 of standard crystal, 507 powder diffraction, 491, 506, 509, 518, 521 precision, 505, 509, 515, 526, 530, 536 preliminary, 507 relative, 505 sensitivity of, 505, 507, 532 standards, 499 systematic errors in, 493, 498 wavelength problems, 492 Lattice-parameter determination methods camera, 497, 507 diffractometer, 495±496, 516±517 electron diffraction, 537±540 energy-dispersive, 496±497 neutron diffraction, 541 non-dispersive, 506, 509, 526, 533±534 polycrystalline X-ray, 491±504 pseudo-non-dispersive, 506, 526, 528 single-crystal X-ray, 505±536 synchrotron, 495 whole-pattern, 496 X-ray, 534 Lattice-parameter differences, determination of, 507, 522, 525, 528±531 Lattice-parameter measurements accuracy of, 490 discrepancy for silicon, 490 possible effect of filter, 239 Lattice parameters of silicon, 490, 499 of silver, 499 of tungsten, 499 Lattice-spacing comparators, 530 Laue class, 13, 938 Laue diffraction multiplicity distribution, 27 neutron single-crystal, 87 Laue geometry, 26, 38 Laue method, 663 Laue patterns, 27, 124 flat-film camera for recording, 70 Laue photography combined with powder diffraction, 506 Laue point group, 908, 913, 938 Laue sphere, 26 Layer-line screen (precession), 34 Layer-line screen (Weissenberg), 35 Layer lines, 414 Layer polytypism, 760, 766 Layer silicates, 414 Layer stacking, 752±773 in polytypes, 760±773 LCAO (linear combination of atomic orbitals) approximation, 715, 723 Lead oxide camera tubes, 634 Leakage radiation, definition of, 959 Least-dense sphere packings, 748, 749 Least-squares calculations, 678±688 estimator, 680 nonlinear, 682 software for, 688 Least-squares refinement, 504, 505, 510, 517 problems, 101 LEED (low-energy electron diffraction), 24 Legendre polynomial, 565 associated, 581 Lens configuration, 514

991

c:\itfc\sindex.3d

Lens-shaped figures, 512±514 Levenberg±Marquardt algorithm, 683 Leverage, 705, 708 Libration (rotational oscillation), 589 Libration tensor, 697 Librational model, 697 Librational temperature factor, 723, 724 Licensable quantity, definition of, 959 Likelihood, 689 Likelihood-ratio method, 523 Limited projection topographs, 116 Limiting resolution of X-ray detectors, 634 Line focus, 194 Line profile, 518 calculated by convolution, 662 Linear algebra, 678 Linear attenuation coefficient, 213 Linear combination of atomic orbitals (LCAO) approximation, 715, 723 Linear estimator, 680 Linearity, 621 Linearity of response, 619 Lithium-drifted germanium detector, 622 Lithium-drifted silicon detector, 622 Live X-ray topographs, 122 Local measurements (topography), 516, 525±527, 529 Location of diffraction profile, 518 Long-period polytypes, 757 Lorentz factor, 497, 596, 710 Lorentz model, 400 Lorentz±polarization factor, errors, 60, 523, 596 correction for, 523 Lorentzian curves, 66 Lorentzian functions, 711 Lorentzian profiles, 67, 400 Low-angle boundaries, 114 Low-angle reflections, confusion with escape peaks, 622 Low-energy electron diffraction (LEED), 24 Low-Q scattering, 105 Lower quartile, 813 Luminescence, photostimulated, 635 Macromolecules, biological, use of SANS, 105 Macroscopic absorption cross section, 461 Magnetic Bragg reflection, 591 domains, 124 form factors, 454, 592 interaction vector, 591 orbital structure factor, 731 ordering, 725 space group, 591 Magnetic properties, 154 of the neutron, 108 Magnetic scattering of neutrons, 590 of neutrons, elastic, 591 X-ray, 733 Magnetic structure factors, 591, 726, 727 unit-cell, 591 X-ray, 733 Magnetism, 725 Magnetization density, 591, 725 Magnetostatic energy, 731 Magnetostatic properties, 731 Magnets, bending, 197 Main reflections, 907

SUBJECT INDEX Mains-voltage fluctuations, 667 Many-beam dynamical diffraction, 80 Marginal probability density function, 679 Mass absorption coefficients, 213, 600 Mass attenuation coefficients, 213±214 tables of, 230±236 Mathematical interpretation in single-crystal methods, 536 Mathematical theory of powder diffractometry, 518 Matrix diagonalization, 425 Matrix formulae for two-circle diffractometer, 517 Maximum degree of order (MDO) polytypes, 762, 767, 768, 769, 770, 772 Maximum dimension of a particle, 93, 102 Maximum-entropy method, 428, 689 Maximum-likelihood estimate, 689 Maximum-likelihood methods, 691 Maximum oscillation angle, 33 Maximum primary dose (MPD), 960 MDO (maximum degree of order) polytypes, 762, 767, 768, 769, 770, 772 Mean, 679, 813 Mean-square broadening, 493 Measured-as-negative intensities, 667 Measured profile, 505 as a convolution, 503 Measurements of lattice parameters absolute, 505 relative, 505 Mechanical (deformation, glide) twins, 10 Mechanical properties, 153 Mechanical twins, 10 Median, 520 absolute deviation, 690 variance of, 520 Melt-grown crystals, 114 Melting point, 154 Membrane proteins, 24 Mercury iodide detector, 623 Mercury sulfide chloride, -Hg3 S2 Cl2 , 771, 772 Merohedral point groups, 12 Meso-octahedral sheet, 767 Metallic radii, empirical, 774 Metals preparation of specimens, 173 texture studies, 414 typical interatomic distances, 774±777 Methyl methacrylate resin containers, 162 Metric tensor, 694 Mezei flipper, 442 Mica containers, 162 Mica group, 765, 768±770 Microanalysis, 54 quantitative, 410 Microdensitometer, 618 Microdiffractometers, 491 Microdiffractometry, 53 Microfocus sources, 71 Microrefractometer, 160 Microtome, 171 Microwaves, 190 Midchord peak, 518 Midpoint of a single chord, 518 bias, 520 variance, 520 Miller formulae, 5 Miller indices, 5, 11 Mimetic twinning, 153

Mirror cameras, 106 Mirrors, 37 for neutrons, 436 reflection devices, 435 Misalignment, 506, 531, 535±536 diffraction, 424 of electron beam, 424 Misorientation functions, 414 Misorientation matrices, 33 Mixed-layer structures, 760 Model calculations in SAXS, 103 Model fitting in SANS, 111 Modelling of space-group frequencies, 897 Moderators for neutrons, 431 Modulated crystal structures, 907±944 examples, 936 types defined, 907 Modulation displacive, 907 occupation, 907, 913 relations, 941 Modulation transfer function (MTF), 634 Moire topography, 121 Molecular beams, 189 Molecular biology, isotopic composition in SANS, 107 Molecular dipole moment, 725 Molecular geometry, 812 Molecular organic structures packing in, 897 space-group distribution of, 905 Molecular packing, 904 Molecular scattering factors, 390 Molecular weight, 93 Moliere high-energy approximation, 260 Moment, 679 Moments of a charge distribution, 716 Momentum density distributions, 659, 713 Momentum space, 713 Monitor methods, 72 Monitoring circuits, 619 Monochromatic radiation, ±2 scan, 55 Monochromatic still exposure, 30 Monochromator-scan method for diffraction, 85 Monochromators, 37, 43, 46, 51, 76, 99, 120, 395, 528, 662 alignment, 46 angular calibration, 46 channel-cut, 77, 121, 239 common types, 77 comparison of, 433 crystal, 76 different diffraction geometries, 43 diffracted beam, 44, 46 double-reflection, 239 focusing, 82 for neutrons, 432±435 for X-rays, 236 graphite, 38, 239, 620, 664±665 incident-beam, 53 Johann, 664 Johansson, 664 mosaic crystals, 432, 662 multi-reflection, 239 perfect-crystal, 39, 443, 663 pyrolytic graphite, 46, 72 quartz, 661 scanning-crystal, 622 single-reflection, 239 Monoclinic crystal system, 6, 16

992

c:\itfc\sindex.3d

Monodisperse systems, 91 Monopole, 716 Morphological properties, 153 Morphology, and mounting of single crystals, 164 Morse approximation, 389 Mosaic-crystal monochromator, 662 Mosaic spread, 432 Mosaicity, 443 neutron diffraction, 433 Moseley's law, 76 MoÈssbauer radiation, 656 MoÈssbauer spectroscopy, 189, 719 Mott±Bethe formula, 261 Mounting of specimens, 163 biological macromolecule single crystals, 165 polycrystalline specimens, 162 single crystals, 164 small organic and inorganic single crystals, 164 Moving splines, 111 Multichannel pulse-height analyser, 496 Multi-component complex, label triangulation, 111 Multidetector, 82 Multilayer materials, 171 Multilayer polarizers, 436 Multiple-beam methods, 531 Multiple-crystal techniques, 528±532 Multiple diffraction, 513 Multiple-diffraction methods, 526±528 with counter recording, 526±528 with photographic recording, 513 Multiple-diffraction pattern, 527 indexing, 527 Multiple-exposure techniques, 514 Multiple-order reflections (Laue), 27 Multiple scattering, 661 deconvolution techniques, 391 incoherent, 661 intramolecular, 392 neutron diffraction, 177 Poisson distribution, 393 problems associated with, 392 Multiple twins, 10 Multiplicity distribution in Laue diffraction, 27 Multiplicity factor, 596 Multipole expansions, 103, 714, 716, 730 Multipole functions, angle dependence, 583 Multipole model, 716 Multi-reflection devices, 121 Multislice method, 414±416, 425 programs for, 415 Multiwire detectors, 82 Multiwire proportional chamber (MWPC), 627 Muons, 189 Muskovite, 771 n-beam Fourier imaging, 422 n-particle density matrix, 713 n-particle wavefunction, 713 Natural background, definition of, 959 Near-edge fine structures, 408 Neighbours, nearest (direct) and next-nearest (indirect), 775 Net planes, 4 Neutron Anger camera, 650 Neutron-beam definition, 431 Neutron-capture reactions, 644±645

SUBJECT INDEX Neutron diffraction, 26 cross section (tables), 445±461 energy-dispersive, 87 Laue, 87 powder, 82 preparation of specimens, 177 scattering lengths (tables), 445±461 time-of-flight, 87 time-of-flight, powder, 88 white-beam, 87 Neutron polarization, 592 Neutron powder data, 68 Rietveld analysis of, 710±712 Neutron resonance spin echo (NRSE), 443 Neutron scattering, 591±595 elastic, 728 focusing, 443 form factors, 454±461 inelastic, in spectroscopy of solids, 391 magnetic, 591, 726 monochromators, 443 nuclear, 593 polarized, 728 resolution functions, 443 scattering factors, 454±461 Soller collimators, 443 spectrometers, 444 Neutron sources pulsed spallation, 189 reactors, 430 spallation, 87, 430 Neutron spin, 444 interaction with electron spin, 725±726 Neutrons absorption coefficients (Table 4.4.6.1), 461 cold, 105 faster-than-sound, 657 films for, 646 filters, 438 guide tubes, 432, 435 moderated, 430 monochromators, 432 polarized, 108, 592 properties, 187 reflectivity, 126, 433 reflectometry, 126 scattering-length densities, 441 slower-than-sound, 657 topography, 124 Next-nearest (indirect) neighbours, 775 NFZ relation, 761 NIST (National Institute of Standards and Technology) silicon standard, 495 NMR (nuclear magnetic resonance), 154, 190 No-upper-layer-line approximation, 415 Nodal reflections, 27 Noise reducer for image processing, 635 Non-crystalline samples, diffraction from, 24 Non-crystallographic symmetry elements, 907 Non-dispersive methods (techniques), 506, 526, 533±534 Non-linear least squares, 683 Non-periodic systems, 89 Non-stochastic effects, 959 Non-systematic interactions, 81 Non-uniformity of response, area detectors, 41 Normal attenuation, 214 Normal-beam equatorial geometry, 36 Normal-beam rotation method, 31 Normal crystal, 908 Normal equations, 680, 682

Normal modes of vibration, 653 Normal probability distribution function, 66, 702 Normalized spin density, 727 Notations for close-packed structures, 753, 758 Nuclear magnetic resonance (NMR), 154, 190 Nuclear reactors, 430 Nuclear scattering amplitude, 594 length, bound, 594 of neutrons, 593 Nuclear structure factors, 595, 725, 732 Nuclear Thomson scattering, 242 Numbers of reciprocal-lattice points within resolution sphere, 28 Numerical approximations to f(s), 261 Numerical methods, 685 Objective-lens defocus, 421 Oblate ellipsoid of revolution, 94 Oblique crystal system, 15 Oblique-texture electron difraction patterns, 412 Obliquity, 41 Occupation modulation, 907, 913 Octahedral sheet, 767 Octupole, 716 OD (order±disorder) diffraction pattern, 763 groupoid families, 761, 763, 765, 773 layers, 764 packets, 765 repeat unit, 764 structures, 761, 764 structures, desymmetrization of, 765 theory, 761 One-crystal spectrometers, 521±526 asymmetric (arrangement), 521±522 symmetric (arrangement), 521±526 One-dimensional crystal classes, 15, 16 One-line symbols for Bravais classes, 915, 920 One-particle reduced density matrix, 726 Open shell electrons, 727 Operations in polytypes, 762±763 Optic modes, 653 Optical activity, 153 antipodes, 153 diffractograms, 427 interferometry, 533±534 properties, 153, 160 reflectivity, graphite, 403 wavelength as a standard, 533 Optimization (of measurement), 517±520, 526±528, 532±534, 667 Optimum design of experiments, 74, 702 Orbital angular momentum, 731 Orbital magnetism, 731 Orbital moment, 727 Orbital momentum, 726 Orbitals, Slater-type, 584 Order±disorder (OD) diffraction pattern, 763 groupoid families, 761, 763, 765, 773 layers, 764 packets, 765 repeat unit, 764 structures, 761, 764 structures, desymmetrization of, 765 theory, 761

993

c:\itfc\sindex.3d

Organic compounds preparation of specimens for electron diffraction and electron microscopy, 176 space-group distribution of molecular, 905 typical interatomic distances, 790±811 Organometallic compounds label triangulation, 111 typical interatomic distances, 812±896 Orientated solidification, 176 Orientation contrast, 113 Orientation matrix, 516, 535, 537 determination, 517 four-circle diffractometer, 516±517 Orientation of crystals, 134 Orientation of the lattice relative to the point group, 15 Oriented texture patterns, 412 Origin of angular scale recovery of, 530 uncertainty of, 530, 536 Original profile, 505, 520 half-width of, 506, 520 Origins, equivalent, 15 Orthorhombic crystal system, 6, 16 Oscillation angle, maximum, 33 Oscillation photographs processing, 510 Outer moments, 718±720 Outlier removal, 813 Packing contact number in, 746±747, 752 density of, 746 heterogeneous, defined, 746 homogeneous, defined, 746 interpenetrating, 751 of circles, 746±747, 752 of ellipses and ellipsoids, 751±752 of layers, 752±773 of spheres, 746±751, 752, 904 stable, 747, 750 types, tables of, 747±748 voids in, 750 Pair-distance distribution function (PDDF), 90 Pair-production cross sections, 213 Parafocusing, 47 Parallax, 41, 624 Parallel-beam geometry, 54, 663 Parallel detection, 397 Parallel-plate counters, 627 Parallel recording, 639 Paramagnetism, 154 Paramagnets, 728 Parasitic scattering, 661 Partial coincidence operations, 761 Partial structure factors in SANS, 112 Partial wave phase shifts, 389 Partially stimulated reflections (partials), 34, 39 Particle(s), 186 latex, 107 mass in SANS, 110 maximum dimension, 102 parameters of, 91 shape in SANS, 110 shape in SAXS, 93 Particle orientation, fluctuations, 492 Particle size, 62, 89, 162 distribution, 111 Patterson synthesis, 21 Pauli principle, 412 Pauling model of hydrous phyllosilicates, 767

SUBJECT INDEX PCD (projected charge-density) approximation, 423 PDDF (pair-distance distribution function), 90 Peak asymmetry, 67 displacements, 518 height, 518 of a reflection, 492 satellite, 75 search, 65 shift, 518 variance, 520 Peak flux, 431 Peak-shape function, 710±711 Peak-to-background ratio, 65, 661 with scintillation counters, 622 Pearson VII function, 67, 711 PendelloÈsung, 250 Penetration depth, 58 of X-rays, methods of reducing, 525 Peptides, standard coordinates, 699 Per cent point function, 708 Perfect-crystal analysers, 665 Perfect-crystal monochromators, 444, 663 Perfect single crystals, 510, 519 Persistence length, 93 Petrographic sections, 171 Phase analysis, electron diffraction, 412 Phase diagrams, determination of, 510 Phase-grating approximation, 260 Phase identification, 42, 81 from electron-diffraction patterns, 81 Phase-space analysis, 661 Phase-space diagrams, 661 Phase transitions, study of, 509, 522, 525, 529 Phonon absorption, 656 Phonons, 261, 653 Phosphor screens, 634 Phosphoric acid as etchant, 173 Phosphors, 630 storage, 635 Photoabsorption measurements, 406 Photoconductive layer amorphous Se±As alloy, 635 lead oxide, 634 X-ray-sensing, 634 Photo-effect data, theoretical, 221 Photoelectric absorption, 599 Photographic emulsions, 640 Photographic film graininess, 640 properties of, 640 shrinkage, 498 Photographic methods electron diffraction powder pattern, 81 single-crystal, 508±516 single-crystal, classification of, 508 Photographs cone-axis, 36 setting (precession), 35 upper-layer (precession), 35 upper-layer (Weissenberg), 35 zero-layer (precession), 35 zero-layer (Weissenberg), 34 Photomultiplier tube, 619 Photon energy, 84 Photon-induced X-ray analysis, 189 Photon interaction cross sections, tables of, 223±229

Photon noise, 633 Photon scattering cross section, 213 Photons, 186 Photostimulated luminescence, 635 Phyllosilicates, 413, 766±771 Physical aberrations, 493, 493 for XED, 86 Physical constraints, 715 Physical properties, relation to crystal structure, 151±153 Picture elements (pixels), 634 Piezoelectricity, 154 Pinhole cameras in SANS, 106 in SAXS, 100 PIX (proton-induced X-ray analysis), 189 Pixels (picture elements), 634 Planck's law, 186 Plane detector recording, 32 Plane-wave topography, 121 Plasmas, 191 Plasmon(s), 261, 403 cross section, 399 dispersion, 398 energies in metals, 397 excitation energy, 660 lifetime, 399 scattering, 657, 661 Plasticity, 153 Pleochroism, 153 Point group(s), 939 arithmetic, 913 arithmetically equivalent, 939 definition of, 945 equivalence class, 939 geometrically equivalent, 939 Laue, 908, 913 merohedral, 12 orientation of the lattice relative to, 15 reducible, 940 Point lattice, 2 Point row, 3 Point-spread factor, 40 Point-spread function (PSF), 625 Poisson distribution, 393, 666, 690 difference of two, 666 sum of two, 666 Poisson statistics, 519 Poisson's electrostatic equation, 719 Polarization, 193 dependence, 732 incident neutron, 727 index, 611 neutron, 592 rotation of, 593 vector, 654 Polarization factor, 51, 596 for XED, 85 Polarized neutron scattering, 728 Polarized neutrons, 108, 592 Polarized radiation, circularly, 734 Polarizers, multilayer, 435 Polarizing filters, 438 microscope, 154 mirrors, 440 neutron guides, 431 Polishing, 174 Polycrystalline samples for neutron diffraction, 177 Polydisperse systems, 89, 99

994

c:\itfc\sindex.3d

Polymers isotopic composition in SANS, 107 preparation of specimens for electron diffraction and electron microscopy, 176 texture studies, 414 Polypeptides, restraints in refining, 699±700 Polysynthetic twins, 10 Polytypes, 754±756, 760±773 basic, 762 families, 761 faults in, 758±760 layer stacking in, 760±773 long-period, 757 maximum degree of order (MDO), 762 mixed-layer structures, 761 regular, 762 rod, 760, 766 simple, 762 standard, 762 turbostratic structures, 761 Polytypism definition, 760 layer, 766 oriented texture patterns, 412 rod, 760, 766 Position-sensitive detectors, 82, 87, 100, 113, 619, 623±633, 664 choice of detectors, 623 detection efficiency, 623±624 detector properties, 623±625 for neutrons, 649, 652 localization of detected photon, 627 photographic film, 623 size and weight, 626 software packages, 633 storage phosphors, 634, 635±638 Positron annihilation spectroscopy (PAS), 189 Positrons, 189 Posterior probability density function, 681 Potential scattering, 594 Powder cameras, 70 Powder diffraction, 42, 664 advantages of synchrotron, 54 combined with Laue photography, 506 electron techniques, 80 methods, basic, 55 neutron techniques, 82 special factors in, 596 standards, 498±499 tilted-beam techniques, 80 Powder diffraction data, Rietveld analysis of, 710±712 Powder diffractometry, mathematical theory of, 518 Powder methods compared with single-crystal methods, 506 Powder-pattern geometry, 80 Powder-pattern indexing, 541 Powder-pattern intensities, 80 Powder patterns calculation of, 60 computer graphics for, 69 Powders, correction factor for, 657 Poynting vector, 119 Precautions against radiation injury, 958±967 Precession geometry, 35 setting, 168 Precision, 490, 492, 497, 501, 707 of parameter estimates, 702

SUBJECT INDEX Precision of lattice-spacing determination, 505 and profile shape, 517±519 (methods of) increasing, 518, 533±534 relative, 505 Preferred orientation, 60, 80, 162, 712 empirical correction factor, 61 minimization of, 60 Preparation of crystals, 153 of specimens for electron diffraction and electron microscopy, 171 of specimens for neutron diffraction, 177 Pressure, effect on lattice parameters, study of, 508 Primary dose limits, 960 Primary extinction, 609, 610 Primitive crystallographic basis, 2 reciprocal basis, 2 unit cell, 2 Principle of causality, 246 Prior probability density function, 681 Probability density function, 681 Probability distribution function (p.d.f.), 707 Profile fitting, 65, 492, 710 computer procedures, 491 functions, 66, 710 in oscillation photographs, 510 Profile parameters, 710 Projected charge-density (PCD) approximation, 423 Projection matrix, 705, 706 Projection topograph, 115 Prolate ellipsoid of revolution, 94 Promolecule, 714 Promolecule density, 714 Propagation function, 415 Proportional counters, 619 Protection from ionizing radiation, 962±963 Proteins label triangulation, 111 restraints in refining, 699±701 Proton-induced X-ray analysis (PIX), 189 Pseudo-atom moments, 718 Pseudo-non-dispersive methods, 506, 526, 528±533 Pseudo-Voigt function, 67, 711 Pulse-amplitude discrimination, 73, 620 Pulse-amplitude distributions, 621 Pulse-height analyser, 622 Pulse-height discrimination, 619 Pulse-height distribution, 626 Pulsed neutron source, 711 Pulsed (spallation) neutron source, 87, 189, 430±431 Pycnometry, 158 Pyroelectricity, 154 Pyrolytic graphite, 43, 77, 438, 665 cross section for neutrons, 439 Pyrophyllite, 768 Q±Q (quantile±quantile) plot, 707, 708 QED corrections, 204, 205 QR decomposition, 679 Quadrupole, 716 Quadrupole moment, 717 Quality factor (QF), definition of, 959 Quanta, 186 Quantile±quantile plot, 707, 708 Quantitative microanalysis, 410

Quantum counting efficiency, 621 Quantum efficiency, 624 Quartz monochromator, 664 Quartz twins, 11 Quasi-Gaussian approximation, 590 Quasi-Newton methods, 683 Quasicrystals, 908 R factors, 68, 710±711 dynamical, 427 weighted, 68 Racah's algebra, 731 Radial constraint, 715 Radial distribution function, 97 Radiation damage, 166, 417, 626, 630 Radiation injury definition of terms, 958±960 possible sources, 962±963 precautions against, 958±967 regulatory authorities, 964±966 responsibilities, 960±961 Radiation protection, 957, 962 Radiation safety officer, 960 Radiations used in crystallography electromagnetic waves, 186 particles, 186, 259 Radioactive samples, 619 Radioactive sources, 189 Radio-frequency flipping coil, 728 Radionuclides, 75, 196 definition of, 959 Radiotoxicity, definition of, 959 Radius of gyration, 91 of the cross section, 92 of the thickness, 92 Radoslovich model, 769 Raman effect, 153 Raman scattering, 657, 660 resonant, 657, 660, 661 Raman spectroscopy, 189 Ramsdell notation, 752 Rank of a lattice, 937 Rate-meter measurements, 63 Ratio method for powder samples, 509 for single crystals, 509 Ratio of lattice spacing to optical wavelength, 533 Rational twin axis, 10 Rayleigh criterion, 427 Rayleigh scattering, 214, 242, 554, 599 Rayleigh scattering data, theoretical, 221 RBS (Rutherford backscattering), 189 Reactors, 430 Real crystals, 419 Real solids, 401 Real structure determination, 516, 531 errors due to, 528 Receiving slit, 45 aperture, 53 width, 48 Reciprocal cell picture of, three-dimensional, 509 picture of, two-dimensional, 509 picture of, undeformed, 509 Reciprocal lattice, 412 angles, determination, 517 geometry, 513 layer lines and crystal setting, 168 parameters, determination, 517

995

c:\itfc\sindex.3d

Reciprocal lattice point, 415 vector, 3 Recording counts, fluctuations of, 492 Recording range, 52 Rectangular crystal system, 15 Reducible point groups, 939 Reference crystal(s), 531±532 Reference sample in SANS, 109 Refinement least-squares, 503, 505, 510, 517 of structural parameters, 677 problems, least-squares, 101 Rietveld, 56, 82, 541 Rietveld, using XED, 86 Reflecting power of a crystal, 590 Reflection angles, 499 conditions, for a twinned crystal, 13 conditions, special, 921 of light, 153 Reflection electron microscopy (REM), 428 Reflection high-energy electron diffraction (RHEED), 428 Reflection-only counting rates, 666 Reflection specimen, ±2 scan, 44, 53 Reflection topographs, 113, 114 Reflection twins, 10, 12 Reflections integrated, 114 main, 907 multiple-order (Laue), 27 nodal, 29 satellite, 907 single-order (Laue), 27 Reflectivity function, 528 Refraction, 527 correction for, 492, 505, 523, 536 effects, 81 Refractive index, 81, 154, 160, 189, 599±600 immersion media for measurement of, 160 Regular polytypes, 762 Regulatory authorities, 964 Relative measurements of lattice spacing, 505 Relative molecular mass in SANS, 110 Relativistic corrections, 390 Relativistic effects, 186, 260, 262 REM (reflection electron microscopy), 428 Remanent systematic error, testing for, 498 Repeated twins, 10 Residual, 707 Residual map, 714 Resolution in XED, 85 sphere, 27 Resolution errors detector element, 106 gravity, 106 in SANS, 106 slit, 106 wavelength, 106 Resolution functions in neutron scattering, 443 Resonance scattering, 594 Resonant Raman scattering, 657, 660, 661 Restraints in refinement, 691, 693±701 RHEED (reflection high-energy electron diffraction), 428 Rho operations, 763 Rhombohedral crystal system, 8 Ribosomes, scattering curves from, 111

SUBJECT INDEX Rietveld method, 56, 82, 422, 493, 496, 541, 690, 710 background, 711 indexing, 711 peak-shape function, 710±711 preferred orientation, 712 problems with, 711 using XED, 86 Rigid-motion parameters, 697 Robust/resistant methods, 689 Rock minerals, preparation of specimens, 171 Rocking curves, 37, 39, 188, 662 double-crystal, 529 Rod-like particles, 94 molecular weight, 93 radial inhomogeneity, 96 Rod polytypes, 760, 766 Rotating-anode tubes, 71, 189, 194 Rotation diagrams, 414 Rotation geometry setting with moving-crystal methods, 168 Rotation method, 29 normal beam, 31 Rotation of polarization, 593 Rotation/oscillation geometry, 31 Rotation twins, 10, 12 Rotational oscillation (libration), 589 Rutherford backscattering (RBS), 189 Rutile, intensity standard, 503 Sample mean, 813 Sample median, 813 Sample standard deviation, 813 SANS (small-angle neutron scattering), 105, 110 Satellite peaks, 75 reflections, 907 Saticon television camera tubes, 630 SAXS (small-angle X-ray scattering), 89 Sayre's equation, 428 Scale factor, estimation of, 691 Scanning-crystal monochromator, 622 Scanning electron microscopy (SEM), 540 Scanning range, 519±520 Scanning transmission electron microscope (STEM), 427 Scanning tunnelling microscope, 428 Scattering coherent multiple, 661 Compton, 242, 554, 599, 661 DelbruÈck, 242 diffuse, 261 elastic, 416 electron, 259 fluorescence, 661 inelastic, 416, 657 low-Q, 105 magnetic, 730 magnetic X-ray, 730 multiple, 661 multiple, deconvolution techniques, 393 multiple, incoherent, 661 multiple, intramolecular, 392 multiple, neutron diffraction, 177 multiple, Poisson distribution, 393 multiple, problems associated with, 392 neutrons, magnetic, 591 neutrons, nuclear, 593 nuclear and magnetic, 435 parasitic, 661

Scattering plasmon, 657, 661 potential, 594 Raman, 657 Rayleigh, 242, 554, 599 resonance, 594 resonant Raman, 657, 660, 661 spin-flip, 591 thermal diffuse, 416, 653, 655, 657, 661 Thomson, 733 Scattering amplitudes, 389 for electrons, 263±281 nuclear, 594 Scattering cross sections coherent, 594 Compton, 213 elastic, 213 elastic differential, 262 incoherent, 594 incoherent elastic, 595 inelastic, 213 magnetic, 593 nuclear, 591 pair-production, 213 Rayleigh, 213 total, 213, 594 total (tables), 223±229 Scattering factors atomic, 554, 566 complex, 188, 262 electron, 188, 259 for electrons, molecular, 390 for electrons, partial wave (Table 4.3.3.1), 286±377 for neutral atoms, 263 free atoms, 555 generalized, 565 hydrogen-atom, 565 interpolation, 565 magnetic, 461 parameterization, 262, 461 X-ray, Gaussian fits, 261 X-ray incoherent, 389 Scattering functions, 89 incoherent (Table 7.4.3.2), 658 Scattering intensities calculation of, 104 neutron, 105 Scattering-length densities, 105 match-point, 107 Scattering lengths, 444 bound nuclear, 594 coherent, 594 density, 105 density, match-point, 107 for neutrons, 188, 444 free, 594 total, 91 Scattering surfaces, 656 Scattering vector, 3, 90 Scherzer focus, 422, 423, 424, 426 SchroÈdinger wave equation, 186, 415, 735 Scintillation detectors, 619, 642, 664 Screen menu (CRT) for diffractometeroperation control, 64 Screenless rotation technique for largemolecule data collection, 169 Screw correlation tensor, 697 Secant methods, 683 Secondary extinction, 609, 611 Section topograph, 115

996

c:\itfc\sindex.3d

Seemann±Bohlin diffractometers, 495 Seemann±Bohlin geometry, 43 Seemann±Bohlin method, 52 advantages, 53 Selected-area channelling patterns, 540 Selected-area diffraction patterns, 428 Selected-area electron diffraction, 80, 538 Selection of crystals, 151 Self-centring slit, 45 Self-consistent field (Hartree±Fock) method, 243 SEM (scanning electron microscopy), 540 Semiconductor crystals, 428 Semiconductor detectors, 629, 642 Sensitivity (of lattice-spacing determination) increasing, 505 (methods of) highest, 531 Separation plots, structural, 774 Serial recording, 639 Serpentine±kaolin group, 766±769 Setting ±2, 47 anti-equi-inclination, 31 azimuthal, 168 equi-inclination, 31 flat cone, 31 Guinier, 39 photograph (precession), 35 precession geometry, 168 rotation geometry, 168 stationary crystal, 168 Setting angles in standard diffractometers, 516 Shadowing, 189 Shannon±Jaynes entropy, 691 Shape function, 520, 523 Shape of profile affected by collimation, 520 and precision, 519±521 Shape transform, 718 Sheets dioctahedral, 767 hetero-octahedral, 767 homo-octahedral, 767 meso-octahedral, 767 octahedral, 767 tetrahedral, 768 trioctahedral, 767 Short symbols for superspace groups, 921 Siegbahn notation, 191 Sievert, definition of, 959 Sigma symmetry (operations), 763 Signal-to-noise ratio, 633, 645 Significance tests, 702 Silicates (phyllosilicates), 766±771 Silicon, lattice parameter of, 490, 495, 499 Silver, lattice parameter of, 499 Silver behenate reflection angles, 503 Simple polytypes, 762 Simulations in SAXS, 103 Simultaneous reflection, 526 Single crystal characterization, 525 Laue diffraction, neutron, 87 monochromators (at synchrotron), 39 topography, 114 XED methods, 87 Single-crystal methods compared with powder methods, 506 photographic, 508±516 with counter recording, 516±533

SUBJECT INDEX Single-crystal X-ray techniques, 26, 505±536 classification of, 25 Single filters, 78 Single-order reflections (Laue), 27 Single-particle scattering, 110 Single-wire detectors, 82 Skewness, 586 Slater determinant, 722 Slater-type orbitals, 584 Slits antiscatter, 45 design, 45 self-centring, 45 Slower-than-sound neutrons, 657 Small-angle approximation, 80 Small-angle cameras, 99 Small-angle neutron scattering (SANS), 105, 110 Small-angle X-ray scattering (SAXS), 89 Small angles of incidence, 525 Small particles essential, 56 line broadening from, 62 Small spherical crystals, lattice-parameter determination of, 507, 525 Solid-state detectors, 82, 620, 642, 664 Solid-state effects, 400 Solid-state valence-band theory, 415 Soller collimators, 82, 432, 443 Soller slits, 46, 56, 82, 494, 521±522 Solutions, diffraction from, 24 Somatic effects, 960 Sound velocity, 656 Source intensity distribution and size, 73 Sources of X-radiation, 507 Space-group frequencies statistical modelling of, 897±906 tables, 905 Space groups and arithmetic crystal class, 15±20 arranged by arithmetic crystal class, 16 classification of, 15, 897 closest-packed, 897 distribution of molecular organic structures, 897 enantiomorphous pairs, 20 for close-packed structures, 755 frequency of, 15 impossible, 897 limitingly close-packed, 897 magnetic, 591 one-line symbol, 920 permissible, 897 symmetry, 695 two-line symbol, 921 Spallation neutron sources, 87, 189, 430±431 Spark erosion, 174 Sparse matrices, 685 Sparse matrix methods, 701 Spatial distortions, 41, 625, 633 Spatial non-uniformity, 633 Special reflection conditions, 921 for (3+1)-dimensional space groups, 934 Specific heat, 154 Specific isotopic labelling, 107 Specific surface, 93 Specimen aberrations, 48 absorption, 497, 498 displacement, 494, 498, 499 displacement error, correction, 528

Specimen factors, 60 fluorescence, 43, 78 focusing circle, 44 irradiated length, 45 mounting, 162 orientation, 44 preparation, 171, 177, 503 surface displacement, 48, 499, 503 transparency, 494, 497, 499 transparency aberration, 50 Specimen-tilt and beam-tilt error correction, 524 Spectral breadth, 189 Spectral brightness, 197 Spectral profiles, 48 Spectral purity, 72 Spectrometers, 395 asymmetric, 521±522 combined (techniques), 531 double-beam, 531 double-crystal, 510, 528±530 one-crystal, 521±526 stability of, 532 symmetric, 521±526, 529±531 time-of-flight, 444 triple-axis, 444, 531±532 triple-crystal, 531±532 Spectroscopy electron energy-loss, 391 infrared, 189 Raman, 189 Sphalerite, 754 Sphere(s), 92, 94 close-packing, 746, 752, 761 hollow, 92 of reflection (Laue sphere), 26 packing, 747 Spherical aberration, 421 Spherical Bessel function, 460, 565, 592 Spherical harmonic approximation, atomcentred, 714 Spherical harmonic functions, 581, 714, 722 Spherical harmonic multipole model, 715 Spherical symmetry, 103 Spherically symmetric particles, 96 Spin flipper, 442 of neutrons, 443 polarization, 388 Spin-contrast variation, 108 Spin density analysis of, 713±734 errors, 729 Spin-flip processes, 728 Spin-flip scattering, 591 Spin-magnetization densities, 725, 727, 731 Spin-orbit coupling, 727 Spin-orientation devices, 442 Spin-polarization effect, 732 Spin structure factor, 731 Spin-turn coil (flipper), 442 Split basis, 944 Spot size and shape, 37, 39 Sputter etching, 173 Sputtered thin films, 173 Square crystal system, 15 Square-root technique, convolution, 103 Square-wave modulation transfer function, 634 Stability of spectrometers, 532 Stability of X-ray sources, 72

997

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Stable packing, 746, 750 Stacking faults, 754, 762 fringe patterns, 116 Stacking sequence, determination of, 757 Standard basis, 944 Standard crystal, 507, 531±532 lattice-parameter determination of, 507 Standard deviation, 679 Standard lattice bases, 938 Standard polytypes, 762 Standard reference materials, 498 Standard specimens, 501 Standard uncertainty, 681, 707 Standards intensity, 500 powder-diffraction, 498±499 Static model map, 714 Stationary-crystal method, 168 Stationary-phase focus, 422 Statistical errors of lattice-parameter determination, 505, 519, 523 Statistical fluctuations, 69, 492, 666 Statistical modelling, 904 Statistical significance tests, 702±705 Statistical validity in general, 702±705 of Rietveld method, 712 Statistics, 679 of recorded counts, 519 Poisson, 519 STEM (scanning transmission electron microscope), 427 Step size and count time, 64 Stereochemical constraints, 698 Stereographic projection of Kossel pattern, 513 Stereographic transformation, 29 Stibivanite, 769±772 Still exposure, monochromatic, 31 Still photographs for initial crystal setting, 169 Stochastic effects, 959 Stopping rules, 684 Storage phosphors, 623, 635 Storage rings, 196 synchrotron-radiation sources, 199 Strain, measurement of, 510, 516, 529 Strainmeter, 510 Straumanis film mounting, 509 Stress internal, 528 study of, 510, 516, 522 Strip-chart recordings, 63 Stroboscopic X-ray topography, 120 Structural classes, 904 Structural separation plots, 774 Structure amplitude, complex, 261 Structure analysis direct, 103 electron diffraction, 413 Structure determination of close-packed stackings, 756±758 Structure factor(s), 590, 941 determination, 735 magnetic, 725, 728, 730 magnetic orbital, 731 magnetic, unit-cell, 591 magnetic X-ray, 733 measurement by electron diffraction, 416 nuclear, 595, 725, 730 partial, 112 SANS, 112

SUBJECT INDEX Structure factor(s) spin, 731 X-ray, 737 Structure imaging, electron diffraction, 424 Structure prediction, 897 Structure refinement, 426 Student's t distribution, 704 Subfamilies, 769 Sub-grains, 114 Sublimed films, 176 Sulfur, Fermi level, 406 Superficial layers (see also Epitaxic layers), study of, 525 Superlattices, determination of, 525 Supermirrors, 435 Superposition structure, 763 Superspace, 944 embedding, 908 Superspace groups, 909, 912, 916, 940, 945 (2+1)-dimensional (table), 920 (2+2)-dimensional (table), 921 (3+1)-dimensional (table), 922±934 equivalent, 940 full symbols, 921 short symbols, 921 symbols for, 921 Superstructure, 919 Surface diffraction, 24 Surface of a particle, 93 Surface plasmons, 403 Surface-roughness scattering, 108, 128 Surface structure, 428 Symmetric arrangement in single-crystal methods, 509, 521±526, 529±531 Symmetry conditions for second cumulant tensors, 695±696 elements, non-crystallographic, 907 enhanced, 13 group, 908 of Patterson synthesis, 21 spherical, 103 Symmorphism, 15, 897 Synchrotron radiation, 54, 99, 114, 119, 187, 191, 596, 623, 653, 665, 711 camera systems for, 100 determination of wavelength, 495 facilities (for EXAFS), 219 for XED, 84 sources, 38, 198, 495 special applications, 189 spectrum, 197 Synchrotron X-ray topography, 120 Systematic errors (see also Aberrations), 490, 492, 501, 653±665, 707 background, 661±665 connected with collimation, 523±524 detection and treatment, 498±499, 707±709 estimation of, 535 in counter-diffractometer methods, 518, 535 in divergent-beam methods, 515 in photographic methods, 508, 515, 535 in single-crystal spectrometers, 521, 522, 523 in the Bond method, 523±525 of wavelength determination, 535 plasmon scattering, 660 Raman scattering, 660±661 reduced experimentally, 512, 515, 521, 526, 528±530

Systematic errors (see also Aberrations) reduced by detailed analysis of Kossel patterns, 512±515 reduced by extrapolation, 505, 535 reduced by least-squares refinement, 517 remanent, 408 specimen displacement, 517, 531 testing for, 498±499 thermal diffuse scattering, 653±657 white radiation, 661±665 Systematic interactions, 81 Take-off angle, 74 Talc±pyrophyllite group, 768±770 Tangent formula, 428 Tau operations, 764 Television area detectors, 630 Television camera tubes, 632 TEM (transmission electron microscopy), 171, 428, 540 Temperature correction, 524 Temperature dependence of lattice parameters, study of, 507, 530 Temperature factor(s), 586 anisotropic, 697 generalized, 586 librational, 724 Tensors, symmetry of, 695±696 Tetragonal crystal system, 7, 17 Tetrahedral sheet, 767 Texture axis, 412 basis, 412 fibre, 413 lamellar, 412 patterns, 412 Theoretical photo-effect data, 221 Theoretical Rayleigh scattering data, 221 Thermal diffuse scattering, 415, 653, 656, 661, 711 correction, anisotropic, 655 correction factor, 654 correction factor for thermal neutrons, 656 error, 653 Thermal effects, error connected with, 515 Thermal expansion, 154 study of, 510, 516, 522, 525, 529 Thermal neutron detection, 644±652 detection process, 644±648 detection systems, 649±651 electronic aspects, 648 via gas ionization, 645 via scintillation, 645 Thermal smearing, 723 Thermodynamic properties, 154 Thickness distance distribution function of, 103 fringes, 735 of crystal (sample), 512, 513 of lamellar particles, 93 Thin films and thinning, 173 Thin sections, 171, 174 Thinning solution, 175 Thomas±Fermi method, 659 Thomas±Fermi model, 243 Thomson formula, 90 Thomson scattering, 733 by a free electron, 242 Three-axis spectrometers, 444 Three-beam fringes, 422 Three-dimensional crystal classes, 15±20

998

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Tilt(s) of beam, 524 of crystals, 530 Tilt-series reconstruction method, 427 Time-averaged flux, 431 Time-constant errors, 492 Time-of-flight neutron diffraction, 87, 431 Time-of-flight SANS, 106 Time-of-flight spectrometers, 444 Time reversal, 591 Topography, 113±123, 516, 525±527 detectors suitable for, 634 Topotaxy, 154 Total coincidence operations, 761 Total counting rates, 666 Total external reflection, 525 Total scattering cross section, 594 Total scattering lengths, 91 Townsend avalanches, 619 Trace of S singularity, 697 Transformation(s) compensating, 940 gnomonic, 29 stereographic, 29 twins, 10 Transition elements, Fermi level, 406 Transition-radiation X-rays, 192 Translation, internal, 912 Translation tensor, 697 Translations, compensating, 940 Transmission coefficients, 601 Transmission electron microscopy (TEM), 428, 540 preparation of specimens, 171 Transmission factor for XED, 86 Transmission function, 414, 432 Transmission geometry, 512, 513, 525 crystal thickness for, 512, 513 Transmission method, advantage of, 52 Transmission specimen, ±2 scan, 49 Transmission topographs, 113, 114, 124 Transparency aberration, 49 Traverse topograph, 115 Triaxial bodies, homogeneous, 92 Triclinic crystal system, 6 Tricontadipole, 716 Trigonal crystal system, 7, 18 Trigonometric intensity factors, 596 Trimercury dichloride disulfide, 766, 771±772 Trioctahedral sheet, 767 Triple-axis spectrometers, 444, 531±532 Triple-crystal spectrometers, 531±532 Triple isotopic replacement, 111 Triple-reflection scheme, 532 Truncation level, 518 optimum, 520 Trust-region methods, 683 Tungsten lattice parameter of, 499 reflection angles, 499, 502 Turbostratic structures, 760 TV cameras, X-ray-sensitive, 633 Twin(s) axis, 10, 11 axis, rational, 10 boundary, 10 Brazil, 11 centre, 10 centred lattice, 11 components, 10

SUBJECT INDEX Twin(s) cyclic, 10 DauphineÂ, 11 element, 10, 14 growth, 10 index, 11 interface, 10 inversion, 10, 12 lattices, 10 law, 10 mechanical (deformation, glide), 10 mimetic, 153 multiple, 10 operation, 10 plane, 10, 11 polysynthetic, 10 primitive lattice, 11 quartz, 11 reflection, 10, 12 repeated, 10 rotation, 10, 12 simulated Laue class of, 13 transformation, 10 Twinned crystal, reflection conditions, 13 Twinning, 10 by merohedry, 12 by pseudomerohedry, 12 in polytypes, 762 reciprocal-space implications, 12 Two-beam approximation, 80, 260 Two-circle diffractometers, 517 matrix formulae, 517 Two-dimensional crystal classes, 15, 16 Two-line symbols for Bravais classes, 915, 920 Ultramicrotomy, 171 Ultraviolet radiation, 187, 189 Umweganregung, 527 Undulators, 197 Uniformity of response, 625 Unit cell conventional, 913 conventional or centred, 2 magnetic structure factor, 591 primitive, 2 volume, 2 Unsmoothed high-tension supplies, 667 Upper-layer photographs (precession), 35 Upper-layer photographs (Weissenberg), 35 Upper quartile, 813 V-shaped detector recording, 32 Valence map, X ± X, X ± N, and X ±(X+N), 714 Vanadium, scattering from, 594 Variable reduction method, 693 Variance, 679 of centroid, 520 of measure of location, 519 of median, 520 of peak, 520 of single midpoint of chord, 520 Variance±covariance matrices, 680, 692, 707 Variances of measured intensities (recorded counts), 519 Variations in cell parameters, 522 VC (vicinity condition), 763 VC layers, 765 VC structures, 765

Vector(s) basis, 944 energy-flow, 119 lattice, 2 module, 907, 937, 944 Poynting, 119 reciprocal-lattice, 3 scattering, 3 Velocity of sound, 656 Velocity of the elastic wave, 654 Vermiculites, 765 Vertical divergence, 82 Vertical inclination correction for, 522 of incident beam, 522 of reflected beam, 522 Vibrating-string method for density measurement, 158 Vibration, normal modes, 653 Vicinity condition (VC), 763 Viruses, SANS, 106, 111 Visual estimation, 618 Voids in close-packed structures, 753 Voigt function, 67, 711 Volume of a homogeneous particle, 92 plasmons, 398 Volumenometry, 158 Voronoi polyhedron, 774 Waller±Hartree method, 659 Wave amplitudes, dynamical, 414 Wavefunction, 186 Wavelength calibration, 55 Wavelength determination, 506, 528, 533 accuracy of, 526 errors in, 541 Wavelength filter, 528 Wavelength normalization (Laue), 39 Wavelength problems, 492 Wavelength selection, 75 easy, 55 Wavelength shifts, 197 Wavelengths

-rays, 187 determination, 533 distribution, 506 errors, 492 synchrotron radiation, 187 uncertainty, 536 X-rays, 187, 191, 200, 201, 206, 209 Wavevector, 186 Weak-peak measurement, 65 Weak-phase-object (WPO) approximation, 423, 427 Weighted R factors, 68 Weissenberg camera, setting of single crystals, 168 Weissenberg diffractometer, 517 Weissenberg geometry, 34 White-beam energy-dispersive X-ray diffraction, 622 White-beam neutron diffraction, 87, 124 White radiation, 661 in double-crystal spectrometer, 529 in lattice-parameter determination, 507, 508, 529 streaks and crystal setting, 169 topography, 119 Whole-powder-pattern fitting, 68 Wien filter, 396

999

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Wigglers, 197 Wigner±Eckart theorem, 727 Window thinning method, 174 WPO (weak-phase-object) approximation, 423, 427 Wurtzite, 754 Wyckoff positions, 914 XAFS (extended X-ray absorption fine structure), 24, 189, 213±220, 254, 409 as a short-range-order phenomenon, 214 data analysis, 217 XANES (X-ray absorption near-edge structure), 214±220, 258, 403 XED (X-ray energy-dispersive diffraction), 84 XPS (X-ray photoemission spectroscopy), 189 X-ray absorption, 599±612 X-ray absorption coefficients, 220 absolute measurement of, 214 data analysis of EXAFS, 217±218 experimental techniques, 214 X-ray absorption near-edge structure (XANES), 214±220, 258, 401 X-ray absorption spectra, 213±241 X-ray attenuation coefficients, 220 X-ray background over a spot, 34 X-ray beam extremely parallel, 532 highly divergent, 507, 508, 510±516 in single-crystal techniques, 507 well collimated, 507, 508, 536 X-ray diffraction detectors for, 618±638 texture patterns, 412 X-ray dispersion corrrections, 241 X-ray energies, 236 X-ray energy-dispersive diffraction (XED), 84 X-ray generators, 72 X-ray imaging systems, 633 X-ray incoherent scattering factors, 389 X-ray interferometry, 201 combined with optical interferometry, 533±534 X-ray levels, 191 X-ray microanalysis, 82 X-ray microscopy, 189 X-ray optics, 37 X-ray phosphors, 631 X-ray photoemission spectroscopy (XPS), 189 X-ray powder techniques, 42±79, 492±503 aberrations in, 47±50 energy-dispersive, 58 filters, 78±79 focusing geometries, 43 history, 42±43 literature, 42±43 microdiffractometry, 53±54 monochromators in, 43, 76±78 parallel-beam geometries, 54 Seemann±Bohlin geometry, 43, 52±53 Soller slits in, 50, 56 specimen fluorescence in, 43 zero position, 46 X-ray scattering, 554±590 magnetic, 733 X-ray-sensitive TV cameras, 633 X-ray source(s), 191 conventional, 37 in the sample, 510 laser plasma, 189

SUBJECT INDEX X-ray source(s) on the sample, 510 outside the sample, 510 radioactive, 195 synchrotron, 38, 196 X-ray tube, 193 X-ray spectra, 71, 74 Bremsstrahlung, 191 X-ray spectrometers Bragg, 510 double-crystal, 528 symmetric, 510, 521, 529 triple-crystal, 530 X-ray techniques, single-crystal, 26 X-ray topography, 115, 516, 525±527

X-ray tubes, 71±74, 193 loading, 195 power dissipation in, 195 X-ray wavelengths, 187, 191, 200±212, 221 conversion factors, 191 in single-crystal methods, 506 X-rays hard, 187 properties, 187 soft, 187 special applications, 189 Z-module, 907 Zebra patterns, 119 Zeeman polarizers, 442

1000

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Zero-angle calibration, 494 Zero-error elimination, 517, 521, 523, 529 Zero-layer photographs (precession), 35 Zero-layer photographs (Weissenberg), 34 Zero line, 415 Zero-order Laue zone (ZOLZ), 418 Zero plane, 415 Zero-point correction, 517 Zero setting, 528 Zhdanov notation, 752 Zinc oxide (intensity standard), 503 Zinc sulfide, 754 ZOLZ (zero-order Laue zone), 418 Zone axis, 3, 10 Zone equation, 4