Physics:PP/Start
From HandWiki
Data Analysis Techniques in Particle Physics
Editors: Sergei V. Chekanov (ANL) and Claude Pruneau (Wayne State Univ.)
Table of contents
Sections:
- 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.
This wiki is under construction. You are welcome to edit it under the CC BY-ND License. One can login or request account using the top-right menu. We strongly advise to use your real name and email during the registration. This will help generate the author list. During editing, use the internal MediaWiki links to reference any term from 2,270,525 HandWiki articles. |
To show the list of all articles, click [Expand] ->
Index of all pages
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
Physics talk: