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

التفاصيل البيبلوغرافية
العنوان: Publishing statistical models: Getting the most out of particle physics experiments
المؤلفون: 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, Iachellini, Nahuel Ferreiro, Fowlie, Andrew, Heinrich, Lukas, Held, Alexander, Kuhr, Thomas, Kvellestad, Anders, Madigan, Maeve, Mahmoudi, Farvah, Morå, Knut Dundas, Neubauer, Mark S., Pierini, Maurizio, Rojo, Juan, Sekmen, Sezen, Silvestrini, Luca, Sanz, Veronica, Stark, Giordon, Torre, Riccardo, Thorne, Robert, Waltenberger, Wolfgang, Wardle, Nicholas, Wittbrodt, Jonas
المصدر: SciPost Phys. 12, 037 (2022)
سنة النشر: 2021
المجموعة: High Energy Physics - Experiment
High Energy Physics - Phenomenology
مصطلحات موضوعية: High Energy Physics - Phenomenology, High Energy Physics - Experiment
الوصف: 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.
Comment: 60 pages, 15 figures
نوع الوثيقة: Working Paper
DOI: 10.21468/SciPostPhys.12.1.037
URL الوصول: http://arxiv.org/abs/2109.04981
رقم الأكسشن: edsarx.2109.04981
قاعدة البيانات: arXiv
الوصف
DOI:10.21468/SciPostPhys.12.1.037