Physics:PP/Start
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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
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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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