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Sicking, Eva: Multiplicity dependence of two-particle angular correlations in proton-proton collisions measured with ALICE at the LHC. 2012
Inhalt
Introduction
1 Theoretical Background
1.1 The Standard Model of Particle Physics
1.1.1 Quantum Chromodynamics
1.2 Motivation for the Study of Multiple Parton Interactions
1.3 Signatures of Multiple Parton Interactions
1.3.1 Charged Particle Multiplicity Distributions
1.3.2 Multi-Jet Events
1.3.3 Growth of the Total Cross-Section
1.3.4 Growth of the J/ Yield
1.4 Models for Multiple Parton Interactions
1.4.1 pQCD Inspired Model
1.4.2 Clan Model
1.4.3 Independent Pair Parton Interaction Model
1.4.4 Quark Gluon String Model and the Dual Parton Model
1.5 High-Multiplicity Proton-Proton Collision
1.6 Simulation of Multiple Parton Interactions in Event Generators
1.6.1 Pythia
1.6.2 Phojet
1.7 Summary
2 The Large Hadron Collider
2.1 LHC Design
2.2 CERN Accelerator Complex
2.3 LHC History, Status, and Outlook
2.4 Experiments at the LHC
3 The ALICE Detector
3.1 Overview
3.2 VZERO Detector
3.3 Inner Tracking System
3.3.1 Silicon Pixel Detector
3.3.2 Silicon Drift Detector
3.3.3 Silicon Strip Detector
3.4 Time Projection Chamber
3.5 The ALICE Computing Tools
4 Data, Event, and Track Selection
4.1 ALICE Proton-Proton Collision Data Selection
4.1.1 Proton-Proton Collision Data at s = 0.9TeV
4.1.2 Proton-Proton Collision Data at s = 2.76TeV
4.1.3 Proton-Proton Collision Data at s = 7.0TeV
4.2 Monte Carlo Proton-Proton Collisions Data
4.2.1 Standard Simulations
4.2.2 Special Geant4 Transport Simulation
4.2.3 Special Therminator Event Simulation
4.3 Event Selection
4.3.1 Trigger Selection
4.3.2 Vertex Selection
4.4 Track Selection
4.5 Quality Assessments
4.5.1 Motivation
4.5.2 Global ALICE Quality Assurance Scheme
4.5.3 Central Tracking Quality Assurance Focusing on ITS and TPC
4.5.4 Detailed Quality Analysis of Used Data Sets
4.5.5 Evolution of Average Track and Event Properties
4.5.6 Conclusion
4.6 Summary
5 Analysis Method
5.1 Description of the Data Analysis Algorithm
5.1.1 Definition of Regions
5.2 Direct Correlation Observable
5.3 Derived Correlation Observables
5.3.1 Description of the Correlation using a Fit Function
5.3.2 Signal Extraction
5.4 Consideration of Biases in Two-Particle Correlations
5.4.1 Impact of Auto-Correlations of High-Multiplicity Jets
5.4.2 Impact of Decay Products of Short Lived Particles
5.5 Derivation of the Number of Multiple Parton Interactions
5.5.1 Multiple Parton Interactions in Pythia
5.5.2 Measurement of Number of Multiple Parton Interactions
5.5.3 Conclusion
5.6 Summary
6 Correction Procedure
6.1 Correction of Contamination From Secondary Particles
6.1.1 Correction Based on Full Detector Simulations
6.1.2 Data Driven Strangeness Correction
6.2 Track Reconstruction Efficiency Correction
6.3 Correction of Two-Track Effects and Detector Effects
6.4 Charged Particle Multiplicity Correction
6.4.1 Normalized and Extrapolated Correlation Matrix
6.4.2 Weighting Procedure using an Extrapolated Correlation Matrix
6.5 Vertex Reconstruction Efficiency Correction
6.6 Trigger Efficiency Correction
6.7 Additional Corrections
6.7.1 Pileup Events
6.7.2 Beam-Gas and Beam-Halo Events
6.7.3 Cosmic Rays
6.8 Summary
7 Systematic Uncertainties
7.1 Per-Trigger Yield Measurement based on a Fit Function
7.1.1 Reproduction of Signal Distribution
7.1.2 Stability of the Fit Results
7.2 Non-Closure in the Monte Carlo Correction
7.3 Event Generator
7.4 Particle Transport Monte Carlo
7.5 Track Selection
7.6 Event Selection
7.7 Particle Composition
7.8 Detector Efficiency
7.9 Material Budget
7.10 Pileup Events
7.11 Correction of Strangeness Yields
7.12 Extrapolation Uncertainty of Strangeness Correction
7.13 Summary
8 Results
8.1 Per-Trigger Yield as a Function of
8.1.1 Comparison of ALICE Results to Model Predictions
8.1.2 Comparison of ALICE Results at Different Center-of-Mass Energies
8.2 Integrated Per-Trigger Yield
8.2.1 Comparison of ALICE Results to Model Predictions
8.2.2 Comparison of ALICE Results at Different Center-of-Mass Energies
8.2.3 Results at Different Transverse Momentum Thresholds
8.3 Insight into Multiple Parton Interactions
8.3.1 Limit in the Number of Multiple Parton Interactions
8.3.2 Number of Multiple Parton Interactions in ALICE Data
8.4 Summary
Summary
Zusammenfassung
A Kinematic Variables
B The Global Coordinate System of ALICE
C List of Analyzed Data Sets
D Distance of Closest Approach
E Evolution of Track and Event Parameters
Acknowledgements