To profile or to marginalize - a SMEFT case study

• Verfasst von: Brivio, Ilaria [VerfasserIn]
• Verfasst von: Bruggisser, Sebastian [VerfasserIn]
• Verfasst von: Elmer, Nina [VerfasserIn]
• Verfasst von: Geoffray, Emma [VerfasserIn]
• Verfasst von: Luchmann, Michel [VerfasserIn]
• Verfasst von: Plehn, Tilman [VerfasserIn]
• Titel: To profile or to marginalize - a SMEFT case study
• Verf.angabe: Ilaria Brivio, Sebastian Bruggisser, Nina Elmer, Emma Geoffray, Michel Luchmann and Tilman Plehn
• E-Jahr: 2024
• Jahr: 29 January 2024
• Umfang: 39 S.
• Illustrationen: Illustrationen
• Fussnoten: Gesehen am 17.06.2024
• Titel Quelle: Enthalten in: SciPost physics
• Ort Quelle: Amsterdam : SciPost Foundation, 2016
• Jahr Quelle: 2024
• Band/Heft Quelle: 16(2024), 1, Artikel-ID 035, Seite 1-39
• ISSN Quelle: 2542-4653
• DOI: doi:10.21468/SciPostPhys.16.1.035
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1891363794

Abstract

Global SMEFT analyses have become a key interpretation framework for LHC physics, quantifying how well a large set of kinematic measurements agrees with the Standard Model. This agreement is encoded in measured Wilson coefficients and their uncertainties. A technical challenge of global analyses are correlations. We compare, for the first time, results from a profile likelihood and a Bayesian marginalization for a given data set with a comprehensive uncertainty treatment. Using the validated Bayesian framework we analyse a series of new kinematic measurements. For the updated dataset we find and explain differences between the marginalization and profile likelihood treatments.