TY - JOUR
T1 - Publishing statistical models
T2 - Getting the most out of particle physics experiments
AU - Cranmer, Kyle
AU - Kraml, Sabine
AU - Prosper, Harrison B.
AU - Bechtle, Philip
AU - Bernlochner, Florian U.
AU - Bloch, Itay M.
AU - Canonero, Enzo
AU - Chrzaszcz, Marcin
AU - Coccaro, Andrea
AU - Conrad, Jan
AU - Cowan, Glen
AU - Feickert, Matthew
AU - Iachellini, Nahuel F.
AU - Fowlie, Andrew
AU - Heinrich, Lukas
AU - Held, Alexander
AU - Kuhr, Thomas
AU - Kvellestad, Anders
AU - Madigan, Maeve
AU - Mahmoudi, Farvah
AU - Morå, Knut D.
AU - Neubauer, Mark S.
AU - Pierini, Maurizio
AU - Rojo, Juan
AU - Sekmen, Sezen
AU - Silvestrini, Luca
AU - Sanz, Veronica
AU - Stark, Giordon
AU - Torre, Riccardo
AU - Thorne, Robert
AU - Waltenberger, Wolfgang
AU - Wardle, Nicholas
AU - Wittbrodt, Jonas
N1 - Funding Information:
This work was supported in part by the National Science Foundation under Cooperative Agreement OAC-1836650 (KC, MF and MN); the U.S. Department of Energy Award No. DE-SC0010102 (HP); the IN2P3 master project “Théorie – BSMGA” (SK); the Buchman Scholarship Funds and the Azrieli Foundation (IB); the Knut and Alice Wallenberg Foundation and the Swedish Research Council (JC); the Science and Technology Facilities Council, STFC, through grants ST/S000844/1 (GC), ST/T000856/1 (RT) and ST/N003985/1 (NW); the DFG -Germany’s excellence strategy EXC - 2094-390783311 (NFI); the NSFC Research Fund for International Young Scientists grant 11950410509 (AF); and the National Science Foundation under Award no. 1719286 (KDM).
Publisher Copyright:
© The Author(s), 2021.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
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.
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U2 - 10.21468/SciPostPhys.12.1.037
DO - 10.21468/SciPostPhys.12.1.037
M3 - Article
AN - SCOPUS:85124422901
SN - 2542-4653
VL - 12
JO - SciPost Physics
JF - SciPost Physics
IS - 1
M1 - 037
ER -