The use of statistical methods for the search for new physics at the LHC (in Russian)
S.I. Bityukov, N.V. Krasnikov

TL;DR
This paper reviews statistical methods employed in the Large Hadron Collider to identify potential signs of new physics beyond current models.
Contribution
It provides a comprehensive overview of the statistical techniques used in LHC data analysis for new physics searches.
Findings
Summarizes key statistical methods used at LHC
Highlights challenges in data analysis for new physics
Discusses effectiveness of various statistical approaches
Abstract
We review statistical methods used for the search for new physics at LHC.
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 · Computational Physics and Python Applications · High-Energy Particle Collisions Research
