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Wilk, Alexander: Particle identification using artificial neural networks with the ALICE transition radiation detector. 2010
Inhalt
1 Introduction
2 The Quark-Gluon Plasma and its Signatures
2.1 The Phase Diagram of Strongly Interacting Matter
2.2 Ultrarelativistic Heavy-Ion Collisions
2.3 Signatures of the QGP
2.3.1 Dileptons
2.3.2 Quarkonium Production
2.3.3 Direct Photons
2.3.4 Jet Physics in Heavy-Ion Collisions
3 ALICE and the LHC
3.1 The Large Hadron Collider
3.2 The ALICE Experiment
3.2.1 The Central Barrel
3.2.2 The Other Detectors
3.3 The AliRoot Framework
3.3.1 Overview of AliRoot
3.3.2 Simulations with AliRoot
3.3.3 Reconstruction and Particle Identification
3.3.4 Analysis
4 The Transition Radiation Detector
4.1 The TRD within ALICE
4.1.1 TRD Design Requirements
4.1.2 Physics Performance of ALICE with the TRD
4.2 Interactions of Charged Particles with Matter
4.2.1 Energy Loss of Charged Particles
4.2.2 Transition Radiation
4.3 The ALICE TRD Layout
4.3.1 The Radiator
4.3.2 The Readout Chambers
4.3.3 Readout Electronics
4.4 The TRD Reconstruction Code
4.4.1 Pad Response and Position Reconstruction
4.4.2 Time Response and Tail Cancellation
4.4.3 Track Finding in the Transition Radiation Detector
5 Artificial Neural Networks
5.1 Introduction to Artificial Neural Networks
5.2 Biological and Artificial Neurons
5.3 The Perceptron
5.4 Backpropagation
5.4.1 Derivation
5.4.2 Principle of Operation
5.4.3 Problematic Aspects of Backpropagation
5.5 Training and Validation
5.6 Artificial Neural Networks in High Energy Physics
5.6.1 Neural Networks for Reconstruction Tasks
5.6.2 Applications in Analyses
5.7 Neural Networks in Root
6 Particle Identification with the Transition Radiation Detector
6.1 Principles of PID using the TRD
6.2 Classical Methods of Particle Identification
6.2.1 Truncated Mean
6.2.2 Cluster Counting
6.2.3 Likelihood on Total Deposited Charge (LQ)
6.2.4 Likelihood on Total Deposited Charge and Time Bin with Maximum Charge Deposition (LQX)
6.2.5 Two-Dimensional Likelihood on Deposited Charge (2-dim LQ)
6.3 Particle Identification with Artificial Neural Networks
6.3.1 Particle Identification Using Artificial Neural Networks with other Transition Radiation Detectors
6.3.2 Working Principles of Artificial Neural Networks with the ALICE Transition Radiation Detector
6.4 Pion Efficiency
6.4.1 Determination of the Pion Efficiency
6.4.2 Error Calculation
6.5 AliRoot Implementation of Particle Identification with the TRD
7 Particle Identification Performance in Test Beams
7.1 Test Beams for the ALICE TRD at CERN PS
7.1.1 Experimental Setup
7.1.2 The Extrapolation Method
7.2 Test Beam 2002 - Prototype Testing
7.2.1 Setup 2002
7.2.2 Quality Cuts
7.2.3 Pion Efficiency
7.2.4 Comparison to Previous Analyses
7.3 Test Beam 2004 - Prototype Testing
7.3.1 Setup 2004 - Measurements with Prototypes
7.3.2 Quality Cuts
7.3.3 Pion Efficiency
7.4 Test Beam 2004 - Test of a TRD Stack
7.4.1 Setup 2004 - Measurements with the Stack
7.4.2 Pion Efficiency
7.4.3 Comparison with Small Prototype Chambers
7.5 Test Beam 2007 - Test of Super Module III
7.5.1 Setup 2007
7.5.2 Analysis Procedure and Quality Cuts
7.5.3 Contamination Studies
7.6 Comparison and Discussion of the Different Test Beam Times
8 Particle Identification in AliRoot Simulations
8.1 Analysis Tools for AliRoot
8.1.1 The AliTRDpidUtil Class
8.1.2 The AliTRDpidRefMaker Task
8.1.3 The AliTRDcheckPID Task
8.2 PID Performance in Simulations with Flat Transverse Momentum Distribution
8.2.1 Data Production
8.2.2 Pion Efficiency
8.2.3 Hadron and Muon Efficiencies
8.3 Particle Identification in Proton-Proton Collisions
8.3.1 Simulated Proton-Proton Collisions
8.3.2 Electron Identification in Proton-Proton Collisions
8.3.3 Hadron Identification
8.4 Contamination Studies
8.4.1 Simulated Contamination in Proton-Proton Collisions
8.4.2 Performance of Beam Time 2007 Networks on Simulated Data
8.5 Comparison to Test Beam Results
9 Applications of the TRD Particle Identification in ALICE
9.1 Reference Data for Particle Identification
9.1.1 Sources of Reference Data
9.1.2 Reference Data from Displaced Vertices in Proton-Proton Collisions
9.2 Feasibility Study for Particle Identification with the TRD Electron Trigger
9.2.1 The TRD Trigger Concept
9.2.2 Generation of PID Look-Up Tables
9.2.3 Performance, Summary, and Outlook for Online Particle Identification
9.3 Dilepton Measurements at the LHC
9.3.1 Quarkonia Measurement in CMS
9.3.2 Dielectron Measurements with the ALICE Central Barrel in PbPb Collisions
Summary
Zusammenfassung
A Kinematic Variables in High Energy Physics
B The ALICE Coordinate System
C Data Tables Test Beam
C.1 Test Beam 2002
C.1.1 PID Cuts 2002
C.1.2 Used Runs 2002
C.2 Test Beam 2004
C.2.1 PID Cuts 2004
C.2.2 Used Runs for Small Prototypes Analysis 2004
C.2.3 Used Runs for the Stack Analysis 2004
C.3 Test Beam 2007
C.3.1 PID Cuts 2007
C.3.2 Used Runs 2007
Danksagung