Practical Statistics for the LHC
Kyle Cranmer
TL;DR
This paper provides a comprehensive, pedagogical overview of statistical methods tailored for particle physics, focusing on terminology, concepts, and techniques used at the Large Hadron Collider.
Contribution
It offers an accessible introduction to statistical testing and modeling specific to LHC data analysis, bridging theoretical concepts with practical applications.
Findings
Clarifies statistical terminology and concepts used in LHC physics
Details methods for statistical testing and data modeling at the LHC
Serves as an educational resource for physicists and statisticians
Abstract
This document is a pedagogical introduction to statistics for particle physics. Emphasis is placed on the terminology, concepts, and methods being used at the Large Hadron Collider. The document addresses both the statistical tests applied to a model of the data and the modeling itself.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Particle Detector Development and Performance