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Braß, Simon: Parallel adaptive Monte Carlo integration and vector-boson scattering at the Large Hadron ColliderParallele, adaptive Monte-Carlo-Integration und Vektor-Boson-Streuung am Large Hadron Collider. 2019
Inhalt
Zusammenfassung
Abstract
Acknowlegdements
Contents
List of Figures
List of Tables
Preface
1 Theoretical Foundations
1.1 The Standard Model of Particle Physics
1.2 Formulation of Phase Space, Cross Section and Decay
1.3 Monte Carlo Integration
1.4 Event Generation
1.5 Multi-Purpose Monte Carlo Event Generator: WHIZARD
2 Adaptive Monte Carlo Integration
2.1 The VEGAS Algorithm: Importance Sampling
2.2 The VEGAS Algorithm: (Pseudo-)Stratified Sampling
2.3 The Multi-Channel Approach
2.4 Doubly-Adaptive Multi-Channel Integration: VAMP
2.5 Optimization and Parallelization
2.6 The Message-Passing Interface (MPI) Standard
3 Parallelization of the Adaptive Monte Carlo Integration
3.1 A New Implementation: VAMP2
3.2 Random Numbers and Parallelization
3.3 Parallelization of VEGAS
3.4 Combined Parallelization of VEGAS and VAMP2
3.5 Implementation Details of the MPI Parallelization
3.6 MPI Process Balancing
3.7 Embedding the Parallel Integration into WHIZARD
3.8 Benchmark of VEGAS and VAMP2
3.9 Future Improvements
4 Transverse Modes and Higgs Bosons in Electroweak Vector-Boson Scattering at the LHC
4.1 Standard Model Effective Field Theory
4.2 Unitarization
4.3 Isospin-Spin Amplitudes
4.4 Simplified Resonance Models
4.5 Production Setup
4.6 Results
4.7 Discussion
4.8 Future Improvements
5 Conclusion and Outlook
A Parallel Adaptive Monte Carlo Integration
A.1 The VEGAS Algorithm: Optimization
A.2 The VEGAS algorithm: Implementation
A.3 Multi-Channel Weight Optimization
A.4 Benchmark Results
B Vector-Boson Scattering at the LHC
B.1 Electroweak Chiral Lagrangian
B.2 Comparison of Scalar Operators
B.3 Mandelstam Variables
B.4 Isospin Algebra
B.5 Wigner D-functions
B.6 Sindarin File
B.7 Additional Numerical Results
Bibliography
Glossary