Probability and Statistics for Particle Physicists
J. Ocariz
TL;DR
This paper provides a pedagogical overview of probability and statistics tailored for particle physicists, emphasizing practical applications in analyzing experimental high-energy physics data.
Contribution
It offers a curated selection of probability and statistics topics specifically designed for high-energy physics data analysis, based on the author's extensive teaching experience.
Findings
Clarifies key statistical concepts for particle physics
Provides practical examples from high-energy physics experiments
Serves as an educational resource for physicists
Abstract
Lectures presented at the 1st CERN Asia-Europe-Pacific School of High-Energy Physics, Fukuoka, Japan, 14-27 October 2012. A pedagogical selection of topics in probability and statistics is presented. Choice and emphasis are driven by the author's personal experience, predominantly in the context of physics analyses using experimental data from high-energy physics detectors.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Particle Detector Development and Performance · Computational Physics and Python Applications