Markov Chain Monte Carlo technics applied to Parton Distribution Functions determination: proof of concept

Abstract : We have developed a new procedure to determine Parton Distribution Functions (PDFs) and their uncertainties, based on Markov Chain Monte Carlo methods. We will show in this talk how we can replace the standard χ2 minimization by procedures grounded on Statistical Methods, and on Bayesian inference in particular, thus offering additional insight into the rich field of PDFs. The formulation of PDFs determination in terms of Bayesian inference, the Monte Carlo algorithm we have implemented in the xFitter code, and the first results we have obtained will be presented.
Type de document :
Communication dans un congrès
QCD@LHC 2017, Aug 2017, Debrecen, Hungary. 〈http://qcdatlhc2017.phys.unideb.hu/〉
Liste complète des métadonnées

http://hal.in2p3.fr/in2p3-01579562
Contributeur : Emmanuelle Vernay <>
Soumis le : jeudi 31 août 2017 - 13:04:13
Dernière modification le : mardi 22 mai 2018 - 21:48:11

Identifiants

  • HAL Id : in2p3-01579562, version 1

Collections

IN2P3 | UGA | LPSC

Citation

Y.G. Gbedo. Markov Chain Monte Carlo technics applied to Parton Distribution Functions determination: proof of concept . QCD@LHC 2017, Aug 2017, Debrecen, Hungary. 〈http://qcdatlhc2017.phys.unideb.hu/〉. 〈in2p3-01579562〉

Partager

Métriques

Consultations de la notice

31