Publishing statistical models: Getting the most out of particle physics experiments
Kyle Cranmer
(1)
,
Sabine Kraml
(2)
,
Harrison B. Prosper
(3)
,
Philip Bechtle
(4)
,
Florian U. Bernlochner
(4)
,
Itay M. Bloch
(5)
,
Enzo Canonero
(6)
,
Marcin Chrzaszcz
(7)
,
Andrea Coccaro
(8)
,
Jan Conrad
(9)
,
Glen Cowan
(10)
,
Matthew Feickert
(11)
,
Nahuel Ferreiro Iachellini
(12, 13)
,
Andrew Fowlie
(14)
,
Lukas Heinrich
(15)
,
Alexander Held
(1)
,
Thomas Kuhr
(12, 16)
,
Anders Kvellestad
(17)
,
Maeve Madigan
(18)
,
Farvah Mahmoudi
(19)
,
Knut Dundas Morå
(20)
,
Mark S. Neubauer
(11)
,
Maurizio Pierini
(15)
,
Juan Rojo
(8)
,
Sezen Sekmen
(21)
,
Luca Silvestrini
(22)
,
Veronica Sanz
(23, 24)
,
Giordon Stark
(25)
,
Riccardo Torre
(8)
,
Robert Thorne
(26)
,
Wolfgang Waltenberger
(27)
,
Nicholas Wardle
(28)
,
Jonas Wittbrodt
(29)
1
NYU -
New York University [New York]
2 LPSC - Laboratoire de Physique Subatomique et de Cosmologie
3 FSU - Florida State University [Tallahassee]
4 Rheinische Friedrich-Wilhelms-Universität Bonn
5 TAU - Tel Aviv University
6 UniGe - Università degli studi di Genova = University of Genoa
7 PAN - Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences
8 INFN, Sezione di Genova - Istituto Nazionale di Fisica Nucleare, Sezione di Genova
9 Stockholm University
10 RHUL - Royal Holloway [University of London]
11 UIUC - University of Illinois at Urbana-Champaign [Urbana]
12 Max Planck Institute for Physics
13 Excellence Cluster ORIGINS
14 NNU - Nanjing Normal University
15 CERN - European Organization for Nuclear Research
16 LMU - Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München
17 UiO - University of Oslo
18 CAM - University of Cambridge [UK]
19 IP2I Lyon - Institut de Physique des 2 Infinis de Lyon
20 Columbia University [New York]
21 KNU - Kyungpook National University [Daegu]
22 INFN - Istituto Nazionale di Fisica Nucleare
23 UV - Universitat de València = University of Valencia
24 University of Sussex
25 UC Santa Cruz - University of California [Santa Cruz]
26 UCL - University College of London [London]
27 Universität Wien = University of Vienna
28 Imperial College London
29 Lund University
2 LPSC - Laboratoire de Physique Subatomique et de Cosmologie
3 FSU - Florida State University [Tallahassee]
4 Rheinische Friedrich-Wilhelms-Universität Bonn
5 TAU - Tel Aviv University
6 UniGe - Università degli studi di Genova = University of Genoa
7 PAN - Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences
8 INFN, Sezione di Genova - Istituto Nazionale di Fisica Nucleare, Sezione di Genova
9 Stockholm University
10 RHUL - Royal Holloway [University of London]
11 UIUC - University of Illinois at Urbana-Champaign [Urbana]
12 Max Planck Institute for Physics
13 Excellence Cluster ORIGINS
14 NNU - Nanjing Normal University
15 CERN - European Organization for Nuclear Research
16 LMU - Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München
17 UiO - University of Oslo
18 CAM - University of Cambridge [UK]
19 IP2I Lyon - Institut de Physique des 2 Infinis de Lyon
20 Columbia University [New York]
21 KNU - Kyungpook National University [Daegu]
22 INFN - Istituto Nazionale di Fisica Nucleare
23 UV - Universitat de València = University of Valencia
24 University of Sussex
25 UC Santa Cruz - University of California [Santa Cruz]
26 UCL - University College of London [London]
27 Universität Wien = University of Vienna
28 Imperial College London
29 Lund University
Résumé
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.