TL;DR
This paper reviews statistical data analysis techniques used in high energy physics, especially for LHC searches for new phenomena, emphasizing methods for discovery, exclusion, and handling systematic uncertainties.
Contribution
It provides a comprehensive overview of statistical methods tailored for LHC data analysis, highlighting approaches for systematic uncertainties and discovery testing.
Findings
Effective statistical tests for discovery and exclusion.
Methods for incorporating systematic uncertainties.
Guidelines for analyzing LHC search data.
Abstract
These lectures describe several topics in statistical data analysis as used in High Energy Physics. They focus on areas most relevant to analyses at the LHC that search for new physical phenomena, including statistical tests for discovery and exclusion limits. Particular attention is payed to the treatment of systematic uncertainties through nuisance parameters.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Particle Detector Development and Performance