Machine learning at the Belle II Experiment : the full event interpretation and its validation on Belle data / Thomas Keck.

Intro; Supervisor's Foreword; Acknowledgements; Contents; 1 Introduction; 2 From Belle to Belle II; 2.1 The Belle Experiment; 2.1.1 KEKB Accelerator; 2.1.2 Belle Detector; 2.1.3 Recorded Dataset; 2.2 The Belle II Experiment; 2.2.1 SuperKEKB Accelerator; 2.2.2 Belle II Detector; 2.2.3 Anticipated Dataset; 2.3 Belle to Belle II Dataset; 2.3.1 Overview; 2.3.2 Implementation Details; 2.3.3 Validation; 2.4 Conclusion; References; 3 Multivariate Analysis Algorithms; 3.1 Theory; 3.1.1 Regression; 3.1.2 Classification; 3.1.3 Model Complexity; 3.1.4 Data Analysis in High Energy Physics

3.2 Implementation3.2.1 Methods; 3.2.2 Benchmark; 3.2.3 Conditions Database Integration; 3.2.4 Automatic Evaluation; 3.3 Applications; 3.3.1 Analysis Algorithms; 3.3.2 Uniformity-Constraint; 3.3.3 Data-Driven; 3.3.4 Hyper-parameter Optimization; 3.4 Conclusion; References; 4 Full Event Interpretation; 4.1 Tag-Side Reconstruction; 4.1.1 Inclusive Tagging; 4.1.2 Exclusive Tagging; 4.2 Implementation; 4.2.1 Algorithm; 4.2.2 Training; 4.2.3 Application; 4.2.4 Performance; 4.2.5 Automatic Reporting; 4.3 Validation; 4.3.1 Signal Definitions; 4.3.2 Performance on Belle; 4.3.3 Performance on Belle II

5.2.3 Tag Side Reconstruction5.2.4 Event Reconstruction; 5.2.5 Branching Fraction Extraction; 5.3 Validation; 5.3.1 Monte Carlo Based Study; 5.3.2 Off-Resonance Based Study; 5.3.3 Short-lived Kaon Sideband Study; 5.3.4 Momentum Shape Study; 5.3.5 Fitting Procedure; 5.3.6 Systematic Uncertainties; 5.4 Results; 5.4.1 Belle I; 5.4.2 Belle II; 5.5 Conclusion; References; 6 Conclusion; A B2BII; A.1 Monitoring Histograms; B FEI; B.1 Default Configuration; B.1.1 Final State Particles; B.1.2 Light Neutral Mesons; B.1.3 Charmed Mesons; B.1.4 Mesons; B.2 Automatic Reporting; B.2.1 Belle; B.2.2 Belle IICurriculum Vitae