Cranmer, K;
Kraml, S;
Prosper, HB;
Bechtle, P;
Bernlochner, FU;
Bloch, IM;
Canonero, E;
... Wittbrodt, J; + view all
(2022)
Publishing statistical models: Getting the most out of particle physics experiments.
SciPost Physics
, 12
(1)
, Article 037. 10.21468/SciPostPhys.12.1.037.
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Abstract
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing the full statistical models and discuss the technical developments that make this practical. By means of a variety of physics cases -- including parton distribution functions, Higgs boson measurements, effective field theory interpretations, direct searches for new physics, heavy flavor physics, direct dark matter detection, world averages, and beyond the Standard Model global fits -- we illustrate how detailed information on the statistical modelling can enhance the short- and long-term impact of experimental results.
| Type: | Article |
|---|---|
| Title: | Publishing statistical models: Getting the most out of particle physics experiments |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.21468/SciPostPhys.12.1.037 |
| Publisher version: | https://doi.org/10.21468/SciPostPhys.12.1.037 |
| Language: | English |
| Additional information: | Copyright K. Cranmer et al. This work is licensed under the Creative Commons Attribution 4.0 International License. Published by the SciPost Foundation. |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10146424 |
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