Practical statistics for particle physics
| Autor: | Barlow, Roger John |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
physics.data-an
High Energy Physics - Experiment (hep-ex) hep-ex Physics - Data Analysis Statistics and Probability Other Fields of Physics FOS: Physical sciences Physics::Physics Education Data Analysis Statistics and Probability (physics.data-an) Particle Physics - Experiment High Energy Physics - Experiment |
| DOI: | 10.23730/cyrsp-2020-005.149 |
| Popis: | This is the write-up of a set of lectures given at the Asia Europe Pacific School of High Energy Physics in Quy Nhon, Vietnam in September 2018, to an audience of PhD students in all branches of particle physics. They cover the different meanings of ‘probability’, particularly frequentist and Bayesian, the binomial, the Poisson and the Gaussian distributions, hypothesis testing, estimation, errors (including asymmetric and systematic errors) and goodness of fit. Several different methods used in setting upper limits are explained, followed by a discussion on why 5 sigma are conventionally required for a ‘discovery’. CERN Yellow Reports: School Proceedings, Vol. 5 (2020): Proceedings of the 2018 Asia–Europe–Pacific School of High-Energy Physics, Quy Nhon, Vietnam, 12–25 September 2018 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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