Higgs boson decays into a pair of bottom quarks : observation with the ATLAS detector and machine learning applications / / Cecilia Tosciri

• Autore: Tosciri Cecilia
• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (171 pages)
• Disciplina: 539.721
• Soggetto topico: Higgs bosons; Quarks; Machine learning
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Supervisor's Foreword -- Abstract -- Preface -- References -- Acknowledgements -- Contents -- 1 Introduction -- References -- 2 Theoretical Introduction -- 2.1 Standard Model -- 2.2 Higgs Mechanism -- 2.3 Cross Section and Decay Rate -- 2.4 Properties of the Higgs Boson -- 2.5 Effective Field Theory -- References -- 3 Machine Learning in High Energy Physics -- 3.1 Supervised and Unsupervised Learning -- 3.2 Classification and Regression -- 3.2.1 Boosted Decision Tree -- 3.3 Clustering Algorithms -- 3.3.1 K-Means Clustering -- 3.3.2 Hierarchical Clustering -- 3.4 Nearest Neighbours Search -- 3.4.1 Approximate Nearest Neighbours -- 3.4.2 Similarity Search -- 3.5 Machine Learning in High Energy Physics -- References -- 4 The Large Hadron Collider and the ATLAS Detector -- 4.1 The Large Hadron Collider -- 4.1.1 The Accelerator Complex -- 4.1.2 Luminosity -- 4.1.3 The LHC Program -- 4.2 The ATLAS Detector -- 4.2.1 Coordinate System -- 4.2.2 Inner Detector -- 4.2.3 Calorimetry -- 4.2.4 Forward Calorimeter -- 4.2.5 Muon Spectrometer -- 4.2.6 Trigger and Data Acquisition -- References -- 5 Physics Object Reconstruction -- 5.1 Tracks and Primary Vertices -- 5.2 Electrons -- 5.2.1 Reconstruction -- 5.2.2 Identification -- 5.2.3 Isolation -- 5.3 Photons -- 5.3.1 Reconstruction and Identification -- 5.4 Muons -- 5.4.1 Reconstruction -- 5.4.2 Identification -- 5.4.3 Isolation -- 5.5 Jets -- 5.5.1 Reconstruction -- 5.5.2 Calibration -- 5.5.3 Pile-Up Jets Suppression -- 5.5.4 b-Jets Tagging -- 5.6 Tau Leptons -- 5.7 Missing Transverse Momentum -- References -- 6 Fast Shower Simulation in the Forward Calorimeter -- 6.1 The ATLAS Simulation Infrastructure -- 6.2 Fast Simulation -- 6.3 Frozen Shower Library -- 6.4 Properties of Electromagnetic Showers in FCal -- 6.5 Default Library -- 6.6 Inverted Index Library. ; 6.6.1 Similarity Search for Fast Simulation -- 6.6.2 Indexing Methods in Faiss -- 6.6.3 Validation and Results -- 6.7 Conclusions and Prospects -- References -- 7 VH,Hrightarrowbbarb Search -- 7.1 Overview -- 7.2 Data and Simulation Samples -- 7.3 Selection and Categorisation -- 7.3.1 Object Selection -- 7.3.2 Event Selection -- 7.3.3 Multi-jet Background Estimation -- 7.3.4 Analysis Regions -- 7.4 b-jet Energy Corrections -- 7.4.1 Muon-in-jet Correction -- 7.4.2 PtReco Correction -- 7.4.3 Kinematic Fit -- 7.5 Multivariate Analysis -- 7.5.1 MVA Hyper-Parameters Studies -- 7.5.2 BDT Transformation -- 7.6 Statistical Analysis -- 7.7 Systematic Uncertainties -- 7.7.1 Experimental Uncertainties -- 7.7.2 Simulated Sample Uncertainties -- 7.7.3 Multi-jet Background Uncertainties -- 7.8 Results -- 7.9 Cross-Check Analyses -- 7.9.1 Dijet-Mass Analysis -- 7.9.2 Diboson Analysis -- 7.10 Combinations -- 7.10.1 Run-1 and Run-2 VH(H rightarrowbbarb) Combination -- 7.10.2 H rightarrowbbarb Observation -- 7.10.3 VH Observation -- References -- 8 V H,Hrightarrowbbarb Cross Sections and Effective Field Theory -- 8.1 Cross Section Measurements -- 8.2 Simplified Template Cross Section Framework -- 8.3 VH(H rightarrowbbarb) STXS Measurements -- 8.4 Effective Lagrangian Interpretation -- 8.5 VH(H rightarrowbbarb) EFT Parametrisation -- 8.6 EFT Fit Results -- 8.7 Considerations on the EFT Interpretation -- 8.7.1 ggrightarrowZH Contribution -- 8.7.2 EFT in 3-POI Scheme -- 8.7.3 Branching Ratio Contribution -- 8.7.4 Multi-dimensional Fits -- References -- 9 Conclusions and Future Prospects -- References.
• Titolo autorizzato: Higgs Boson Decays into a Pair of Bottom Quarks
• ISBN: 3-030-87938-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996466844603316
• Lo trovi qui: Univ. di Salerno
• Serie: Springer Theses