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Publishing statistical models: Getting the most out of particle physics experiments
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 techni...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.21468/SciPostPhys.12.1.037 http://cds.cern.ch/record/2780990 |
| _version_ | 1780971909424349184 |
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| author | Cranmer, Kyle Kraml, Sabine Prosper, Harrison B. Bechtle, Philip Bernlochner, Florian U. Bloch, Itay M. Canonero, Enzo Chrzaszcz, Marcin Coccaro, Andrea Conrad, Jan Cowan, Glen Feickert, Matthew Ferreiro Iachellini, Nahuel Fowlie, Andrew Heinrich, Lukas A. Held, Alexander Kuhr, Thomas Kvellestad, Anders Madigan, Maeve Mahmoudi, Farvah Nazila Dundas Morå, Knut Neubauer, Mark S. Pierini, Maurizio Rojo, Juan Sekmen, Sezen Silvestrini, Luca Sanz, Veronica Stark, Giordon H. Torre, Riccardo Thorne, Robert Waltenberger, Wolfgang Wardle, Nicholas Wittbrodt, Jonas |
| author_facet | Cranmer, Kyle Kraml, Sabine Prosper, Harrison B. Bechtle, Philip Bernlochner, Florian U. Bloch, Itay M. Canonero, Enzo Chrzaszcz, Marcin Coccaro, Andrea Conrad, Jan Cowan, Glen Feickert, Matthew Ferreiro Iachellini, Nahuel Fowlie, Andrew Heinrich, Lukas A. Held, Alexander Kuhr, Thomas Kvellestad, Anders Madigan, Maeve Mahmoudi, Farvah Nazila Dundas Morå, Knut Neubauer, Mark S. Pierini, Maurizio Rojo, Juan Sekmen, Sezen Silvestrini, Luca Sanz, Veronica Stark, Giordon H. Torre, Riccardo Thorne, Robert Waltenberger, Wolfgang Wardle, Nicholas Wittbrodt, Jonas |
| author_sort | Cranmer, Kyle |
| collection | CERN |
| description | 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. |
| id | cern-2780990 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2021 |
| record_format | invenio |
| spelling | cern-27809902023-08-10T10:07:29Zdoi:10.21468/SciPostPhys.12.1.037http://cds.cern.ch/record/2780990engCranmer, KyleKraml, SabineProsper, Harrison B.Bechtle, PhilipBernlochner, Florian U.Bloch, Itay M.Canonero, EnzoChrzaszcz, MarcinCoccaro, AndreaConrad, JanCowan, GlenFeickert, MatthewFerreiro Iachellini, NahuelFowlie, AndrewHeinrich, Lukas A.Held, AlexanderKuhr, ThomasKvellestad, AndersMadigan, MaeveMahmoudi, Farvah NazilaDundas Morå, KnutNeubauer, Mark S.Pierini, MaurizioRojo, JuanSekmen, SezenSilvestrini, LucaSanz, VeronicaStark, Giordon H.Torre, RiccardoThorne, RobertWaltenberger, WolfgangWardle, NicholasWittbrodt, JonasPublishing statistical models: Getting the most out of particle physics experimentshep-exParticle Physics - Experimenthep-phParticle Physics - PhenomenologyThe 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.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.arXiv:2109.04981oai:cds.cern.ch:27809902021-09-10 |
| spellingShingle | hep-ex Particle Physics - Experiment hep-ph Particle Physics - Phenomenology Cranmer, Kyle Kraml, Sabine Prosper, Harrison B. Bechtle, Philip Bernlochner, Florian U. Bloch, Itay M. Canonero, Enzo Chrzaszcz, Marcin Coccaro, Andrea Conrad, Jan Cowan, Glen Feickert, Matthew Ferreiro Iachellini, Nahuel Fowlie, Andrew Heinrich, Lukas A. Held, Alexander Kuhr, Thomas Kvellestad, Anders Madigan, Maeve Mahmoudi, Farvah Nazila Dundas Morå, Knut Neubauer, Mark S. Pierini, Maurizio Rojo, Juan Sekmen, Sezen Silvestrini, Luca Sanz, Veronica Stark, Giordon H. Torre, Riccardo Thorne, Robert Waltenberger, Wolfgang Wardle, Nicholas Wittbrodt, Jonas Publishing statistical models: Getting the most out of particle physics experiments |
| title | Publishing statistical models: Getting the most out of particle physics experiments |
| title_full | Publishing statistical models: Getting the most out of particle physics experiments |
| title_fullStr | Publishing statistical models: Getting the most out of particle physics experiments |
| title_full_unstemmed | Publishing statistical models: Getting the most out of particle physics experiments |
| title_short | Publishing statistical models: Getting the most out of particle physics experiments |
| title_sort | publishing statistical models: getting the most out of particle physics experiments |
| topic | hep-ex Particle Physics - Experiment hep-ph Particle Physics - Phenomenology |
| url | https://dx.doi.org/10.21468/SciPostPhys.12.1.037 http://cds.cern.ch/record/2780990 |
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