REVIEW 2 cited by
Practical Statistics for Particle Physicists
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
These three lectures provide an introduction to the main concepts of statistical data analysis useful for precision measurements and searches for new signals in High Energy Physics. The frequentist and Bayesian approaches to probability theory are introduced and, for both approaches, inference methods are presented. Hypothesis tests will be discussed, then significance and upper limit evaluation will be presented with an overview of the modern and most advanced techniques adopted for data analysis at the Large Hadron Collider.
Forward citations
Cited by 2 Pith papers
-
Light Dark Matter Discovery Potential and Model Selection at LDMX
LDMX Phase II is projected to discover R=2.5 thermal complex-scalar DM at 5σ and to discriminate dark-photon electromagnetic-moment models via 2D Bayes factors.
-
Exploring Constraints on Axion-like Particles with the Observations for blazar Mrk 501
The ALP parameter constraints derived from Mrk 501 gamma-ray spectra vary by orders of magnitude depending on whether the jet emission is leptonic or hadronic and on the jet magnetic field geometry.
Discussion (0). Continue with ORCID to comment.