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Higgs boson search in the H WW (*) lnylny channel using neural networks with the ATLAS detector at 7 TeV / Georg Sartisohn. 2012
Content
Introduction
Theory
The Standard Model Lagrangian
Local Gauge Invariance
Spontaneous Symmetry Breaking
Higgs Mechanism
Yukawa Sector
The Higgs Boson
Higgs Boson Production and Decay
Theoretical and Experimental constraints
LHC and Atlas
The Large Hadron Collider
The ATLAS Experiment
The Inner Detector
Electromagnetic Calorimeter
Hadronic Calorimeter
Muon Spectrometer
Trigger
Luminosity and forward detectors
ATLAS performance and Data Quality
Event Generation, Simulation and Reconstruction
Monte Carlo Event Generation
MC event generators
Detector Simulation
Event Reconstruction
Tracking
Vertex Reconstruction
Reconstruction of Electron Candidates
Reconstruction of Muon Candidates
Reconstruction of Jet Candidates
Missing Transverse Energy
Event Modeling
Background Event Modeling
Vector Boson Production in Association with Quarks
Diboson Production
Top Quark Production
Signal Event Modeling
Gluon-Gluon Fusion Process
Vector Boson Fusion Process
Higgs Boson Decay
Reconstruction of VBF Higgs Events
Candidate Event Selection
Object Definitions
Common Preselection
Separation into Jet Multiplicity Bins
Control Regions
Z-boson Control Region
WW Control Region
Top-Quark Control Region
Candidate Event Classification
Neural Networks as Event Classifiers
Training of Neural Networks
Composition of Training Samples
Input Variables
Optimization of Neural Network Classifiers
Training Results and Classifier Validation
Event Classifier Validation
Template Distributions
Statistical Analysis
Statistical Methods
Binned Likelihood Function
Pseudo Experiments
Hypothesis Testing
Cross-section Limits
Systematic Uncertainties
Results
Significance of the Higgs Boson Search
Expected and Observed Limits
Summary
List of Figures
List of Tables
Bibliography
Neural Network Input Variables
H + 1j analysis