Physics:PP/Start
<seo title="Data analysis encyclopedia on data analysis techniques in particle physics" metakeywords="Particle physics data analysis encyclopedia HEP heavy ion collisions" metadescription="Data analysis techniques in Particle Physics"/>
Data Analysis Techniques in Particle Physics
Editors: Sergei V. Chekanov (ANL) and Claude Pruneau (Wayne State Univ.)
Table of contents
- Introduction to Particle Physics (PP)
- Nuts and Bolts
- Overview of Particle Collision Experiments
- Collision Kinematics and Complex Observables
- Basic Measurements
- Data Acquisition Electronics and Systems
- Event Reconstruction
- Monte Carlo Simulations
- General Statistical Methods and Data Visualisation
- Standard Model Measurements
- Searches for New Physics
- Data Processing Techniques
- Fit Optimisation Techniques
- Advanced Data Comprehension Techniques
- Machine Learning
Search
Preface
This wiki contains fundamentals of data-analysis techniques used in higher-energy particle physics (PP). It covers a broad range of topics, from the basic concepts to the numerical algorithms used for modern particle-collision experiments. Each chapter is complemented with analysis code snippets to be readable by anyone who has done a little programming.
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Physics:
- PP/1
- PP/1/History of HEP experiments
- PP/1/List of Software Programs used in Particle Physics
- PP/1/Software and Data Used in This Book
- PP/1/Theory of Particle Collisions
- PP/1/Why Study Elementary Collisions
- PP/10
- PP/10/Cross Section Measurements
- PP/10/Differential Cross Sections
- PP/10/Experimental Uncertainties and Errors
- PP/10/Particle Property Measurements
- PP/10/Signal Correction Techniques
- PP/10/ Experimental Considerations
- PP/11
- PP/11/Analysis Methods for Searches
- PP/11/Limit Settings
- PP/11/Search Techniques
- PP/11/Statistical Significance and Discovery
- PP/12
- PP/12/Analysing ROOT trees
- PP/12/Analysing events in various formats
- PP/12/Event Processing on Multiple Cores
- PP/12/Limitations of IO and Benchmarks
- PP/13
- PP/13/Kinematic Fits
- PP/13/Linear Regression
- PP/13/Model Fitting
- PP/13/Non Linear Regression
- PP/14
- PP/14/Fast Fourier Transforms
- PP/14/Filtering
- PP/14/Principle Component Analysis
- PP/15
- PP/2
- PP/2/Cross Sections
- PP/2/Particle Decays
- PP/2/Relativistic Kinematics
- PP/2/Scattering Studies
- PP/3
- PP/3/Future Experiments
- PP/3/Overview of Modern Experiments
- PP/3/Overview of Previous Experiments
- PP/4
- PP/4/Correlation Functions
- PP/4/Differential Correlation functions
- PP/4/Event Flows
- PP/4/Integral Correlation functions
- PP/4/Jets
- PP/4/Kinematics of Particle Collisions
- PP/4/Moments
- PP/4/Single and Two Particle Densities
- PP/5
- PP/5/Calorimetry
- PP/5/Event Measurements
- PP/5/Particle Identification Techniques
- PP/5/Tracking
- PP/6
- PP/7
- PP/7/Data Workflows
- PP/7/Event Reconstruction Workflows
- PP/7/Structure of Experimental Data
- PP/8
- PP/8/Basic Principles
- PP/8/Detector simulations
- PP/8/Pseudorandom Number Generation
- PP/8/Theory Event Generation
- PP/9
- PP/9/Basic Descriptive Statistics
- PP/9/Comparing Data and Theory
- PP/9/Event Displays of Collision Events
- PP/9/Histogram Comparisons
- PP/9/Histograms
- PP/9/Scatter Plots
- PP/Start
