Application of novel analysis workflows in an ATLAS search for supersymmetry / Martin V.F. Errenst. Wuppertal, 10.03.2021
Content
- Abstract
- Acknowledgements
- Contents
- I Introduction
- 1 Theory
- 2 The ATLAS Experiment at the LHC
- 3 Event Reconstruction
- 3.1 Track and Vertex Reconstruction
- 3.2 Electron Reconstruction
- 3.2.1 Reconstruction
- 3.2.2 Identification
- 3.2.3 Isolation
- 3.2.4 Charge Identification
- 3.2.5 Calibration
- 3.3 Muon Reconstruction
- 3.4 Jet Reconstruction and b-Tagging
- 3.5 Missing Transverse Momentum
- 4 Data Formats and Processing in ATLAS
- II RPV1L Analysis
- 5 Supersymmetry
- 6 Analysis Overview
- 7 Background from Misidentified Leptons in QCD Multi-jet Events
- 7.1 Matrix Method
- 7.2 Trigger Selection and Efficiency Correction
- 7.3 mT Normalization
- 7.4 QCD Enhancing Cuts
- 7.5 Estimating Fake Electrons
- 7.6 Estimating Fake Muons
- 8 Results of the RPV1L Analysis
- III Combined Performance Algorithms
- 9 Overview of CP Algorithms
- 10 Reproducing RPV1L N-Tuples with CP Algorithms
- 10.1 Technical Setup
- 10.2 Object Definitions
- 10.2.1 Jet and b-Jet Definition
- 10.2.2 Electron and Muon Definition
- 10.2.3 Overlap Removal in CP Algorithms
- 10.2.4 Missing Transverse Momentum
- 10.2.5 Systematic Variations
- 10.3 N-Tuple Comparison
- 11 Performance Analysis
- 11.1 Initial Performance Evaluation
- 11.1.1 Performance Snapshot
- 11.1.2 Hotspot Analysis
- 11.1.3 Hotspot Analysis with GetScaleFactors Fix
- 11.2 Deep Copies of Containers
- 11.3 Preselection in CP Algorithms
- 11.4 Systematic Variations
- 11.5 TrigDecisionTool Improvement
- 11.6 Summary of the Performance Analysis
- IV Conclusion
- Bibliography