Modeling theoretical uncertainties in phenomenological analyses for particle physics - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue European Physical Journal C: Particles and Fields Année : 2017

Modeling theoretical uncertainties in phenomenological analyses for particle physics

Résumé

The determination of the fundamental parameters of the Standard Model (and its extensions) is often limited by the presence of statistical and theoretical uncertainties. We present several models for the latter uncertainties (random, nuisance, external) in the frequentist framework, and we derive the corresponding p-values. In the case of the nuisance approach where theoretical uncertainties are modeled as biases, we highlight the important, but arbitrary, issue of the range of variation chosen for the bias parameters. We introduce the concept of adaptive p-value, which is obtained by adjusting the range of variation for the bias according to the significance considered, and which allows us to tackle metrology and exclusion tests with a single and well-defined unified tool, which exhibits interesting frequentist properties. We discuss how the determination of fundamental parameters is impacted by the model chosen for theoretical uncertainties, illustrating several issues with examples from quark flavour physics.
Fichier principal
Vignette du fichier
1611.04768.pdf (3.83 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01400814 , version 1 (23-04-2018)

Identifiants

Citer

Jérôme Charles, Sebastien Descotes-Genon, Valentin Niess, Luiz Vale Silva. Modeling theoretical uncertainties in phenomenological analyses for particle physics. European Physical Journal C: Particles and Fields, 2017, 77 (4), pp.214. ⟨10.1140/epjc/s10052-017-4767-z⟩. ⟨hal-01400814⟩
300 Consultations
72 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More