Publishing statistical models: Getting the most out of particle physics experiments

Author:

Cranmer Kyle1,Kraml Sabine2,Prosper Harrison3,Bechtle Philip4,Bernlochner Florian4,Bloch Itay M.5,Canonero Enzo6,Chrzaszcz Marcin7,Coccaro Andrea8,Conrad Jan9,Cowan Glen10,Feickert Matthew11,Ferreiro Nahuel1213,Fowlie Andrew14,Heinrich Lukas A.15,Held Alexander1,Kuhr Thomas1613,Kvellestad Anders17,Madigan Maeve18,Mahmoudi Farvah Nazila1519,Morå Knut Dundas20,Neubauer Mark S.11,Pierini Maurizio15,Rojo Juan8,Sekmen Sezen21,Silvestrini Luca22,Sanz Veronica2324,Stark Giordon H.25,Torre Riccardo8,Thorne Robert26,Waltenberger Wolfgang27,Wardle Nicholas28,Wittbrodt Jonas29

Affiliation:

1. New York University

2. Laboratory of Subatomic Physics and Cosmology

3. Florida State University

4. University of Bonn

5. Tel Aviv University

6. University of Genoa

7. Institute of Nuclear Physics Polish Academy of Sciences

8. National Institute of Nuclear Physics Genoa Section

9. Stockholm University

10. Royal Holloway University of London

11. University of Illinois at Urbana Champaign

12. Excellence Cluster Origins

13. Max Planck Institute for Physics

14. Nanjing Normal University

15. European Organization for Nuclear Research

16. Ludwig Maximilian University of Munich

17. University of Oslo

18. University of Cambridge

19. University of Lyon

20. Columbia University

21. Kyungpook National University

22. National Institute for Nuclear Physics

23. University of Valencia

24. University of Sussex

25. University of California, Santa Cruz

26. University College London

27. University of Vienna

28. Imperial College London

29. Lund University

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.

Funder

Azrieli Foundation

Deutsche Forschungsgemeinschaft

Institut National de Physique Nucléaire et de Physique des Particules

Knut och Alice Wallenbergs Stiftelse

National Natural Science Foundation of China

National Science Foundation

Science and Technology Facilities Council

United States Department of Energy

Vetenskapsrådet

Publisher

Stichting SciPost

Subject

General Physics and Astronomy

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