TY  - JOUR
AU  - Cranmer, K. et al
AU  - Sanz, V.
PY  - 2022
DA  - 2022//
TI  - Publishing statistical models: Getting the most out of particle physics experiments
T2  - SciPost Phys.
JO  - Scipost Physics
SP  - 037
EP  - 55pp
VL  - 12
IS  - 1
PB  - Scipost Foundation
AB  - 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.
SN  - 2542-4653
UR  - https://arxiv.org/abs/2109.04981
UR  - https://doi.org/10.21468/SciPostPhys.12.1.037
DO  - 10.21468/SciPostPhys.12.1.037
LA  - English
N1  - WOS:000807448000032
ID  - Cranmer+Sanz2022
ER  -