Supersymmetric Beasts and Where to Find Them: From Novel Hadronic Reconstruction Methods to Search Results in Large Jet Multiplicity Final States at the ATLAS Experiment (Springer Theses)
9783030940461, 9783030940478, 3030940462
After an extensive overview of the Standard Model and of the theory and phenomenology of Supersymmetry, this book descri
Table of contents : Supervisor’s Foreword Abstract Acknowledgments Contents 1 Introduction Reference Part I General Overview: From Theory and Phenomenology to Event Reconstruction at the Atlas Experiment 2 The Standard Model of Particle Physics 2.1 Quantum Chromodynamics 2.2 Electroweak Unification 2.2.1 Charged Interactions 2.2.2 Neutral Interactions 2.2.3 Gauge Bosons Self-Interactions 2.3 The Higgs Mechanism 2.3.1 Masses of Vector Bosons 2.3.2 Masses of Fermions 2.4 Open Problems and Questions of the Standard Model 2.5 Conclusion References 3 Supersymmetry 3.1 The Minimal Supersymmetric Standard Model 3.1.1 Superfields, Superspace and SUSY Invariant Lagrangians 3.1.2 MSSM Superpotential 3.1.3 R-Parity 3.1.4 Soft Supersymmetry Breaking 3.1.5 Charginos and Neutralinos 3.2 SUSY Phenomenology at the LHC 3.2.1 SUSY Production at the LHC 3.2.2 Decays of SUSY Particles 3.2.3 R-Parity Violation 3.3 Conclusion References 4 The ATLAS Detector at the Large Hadron Collider 4.1 The Large Hadron Collider 4.1.1 Pileup at the LHC 4.2 The ATLAS Experiment 4.2.1 Detector Coordinate System 4.2.2 The Inner Detector 4.2.3 Calorimeters 4.2.4 Muon Spectrometer 4.2.5 The Trigger and Data Acquisition System 4.3 Conclusion References 5 ATLAS Object Reconstruction 5.1 Track and Vertex Reconstruction 5.2 Jet Reconstruction 5.2.1 Jet Constituents and Calorimeter Topoclusters 5.2.2 Jet Building: The Anti-kt Algorithm 5.2.3 Jet Calibrations 5.2.4 Pileup Jet Identification 5.3 Flavour Tagging 5.4 Electron and Photon Reconstruction 5.4.1 Electron and Photon Calibration 5.4.2 Electron Identification 5.5 Muon Reconstruction 5.5.1 Muon Calibration 5.5.2 Muon Identification 5.6 Missing Transverse Momentum 5.7 Conclusion References Part II Hadronic Event Reconstruction, Performance and Pileup Suppression 6 Performance of Missing Transverse Momentum 6.1 ETmiss Reconstruction 6.1.1 The ETmiss Soft Term 6.2 Overlap Removal Treatment 6.3 ETmiss Working Points 6.4 ETmiss Performance 6.5 The Track-Based Soft Term Systematics 6.6 Object-Based ETmiss Significance 6.7 Conclusion References 7 Particle Flow Reconstruction 7.1 The ATLAS Particle Flow Algorithm 7.1.1 Track Selection 7.1.2 Track-to-Topocluster Matching 7.1.3 Energy Subtraction 7.1.4 Remnant Removal 7.2 Particle Flow Jet and ETmiss Performance 7.2.1 Particle Flow Jets 7.2.2 Particle Flow ETmiss 7.3 Conclusion and Future Prospects References 8 Constituent Pileup Suppression Techniques 8.1 Overview of Current Constituent Pileup Mitigation Techniques 8.1.1 Soft Killer 8.1.2 Cluster Timing Cleaning 8.2 Multivariate Neutral Pileup Suppression 8.2.1 Boosted Decision Trees 8.2.2 Input Variables and Hard-Scatter Cluster Definition 8.2.3 Training and Performance 8.2.4 Impact on ETmiss Reconstruction 8.3 Conclusion References 9 Hadronic Trigger Reconstruction for the HL-LHC 9.1 HL-LHC Detector Upgrades 9.1.1 The Inner Tracker 9.2 The Phase-II ATLAS TDAQ Upgrade 9.2.1 Level-0 Trigger 9.2.2 Event Filter and Hardware Track Trigger (HTT) 9.3 Jet and ETmiss Trigger Reconstruction at the HL-LHC 9.3.1 Reconstruction at the Global Trigger 9.3.2 Reconstruction at the Event Filter 9.4 Impact of HTT on Jet and ETmiss Triggers 9.5 Further Ideas and Improvements 9.6 Conclusion References Part III The Hunt for New Phenomena in Signatures with Large Jet Multiplicities 10 Hunting New Physics in Multi-jet Final States 10.1 Analysis Overview 10.2 Signal Models 10.2.1 Phenomenological MSSM Slice 10.2.2 Two-Step Gluino Decay Model 10.2.3 The `Gtt' Model 10.2.4 The `RPV' Model 10.3 Backgrounds 10.3.1 Leptonic Backgrounds 10.3.2 Multi-jet Background 10.4 Analysis Definition 10.4.1 Triggers 10.4.2 Physics Object Definition 10.4.3 Kinematic Variable Definitions 10.4.4 Event Cleaning 10.4.5 Event Selection 10.5 Optimization Studies 10.6 Background Estimation 10.6.1 Leptonic Backgrounds 10.6.2 Multi-jet Background 10.7 Systematic Uncertainties 10.7.1 Experimental Uncertainties 10.7.2 Template Uncertainties 10.7.3 Theoretical Uncertainties References 11 Results and Interpretations of the SUSY Multi-jet Search 11.1 Statistical Analysis 11.1.1 Probability Density Functions (PDFs) 11.1.2 Nuisance Parameters and Systematics 11.2 Background-Only Fit 11.2.1 Multi-bin Fit 11.2.2 Single-Bin Fit 11.3 Statistical Tests and Model-Independent Fit 11.3.1 Discovery Test and Model-Independent Fit 11.4 Exclusion Limits on RPC Models 11.5 Exclusion Limits on RPV Models 11.5.1 RPV Signals 11.5.2 Results 11.6 Impact of Particle Flow 11.7 Comparisons with Other Searches 11.8 New Signatures for Flavoured Dark Matter Models References 12 Conclusions and Outlook Appendix Additional Elements of Theory A.1 Group Theory and Symmetries A.2 Yang-Mills Theories A.2.1 Quantum Electrodynamics (QED) A.2.2 Non-abelian Yang-Mills Theories A.3 The Wess-Zumino Model Reference