3–7 Apr 2017
University of Birmingham
Europe/London timezone

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

4 Apr 2017, 14:22
17m
Large Lecture Theatre, Poynting Building

Large Lecture Theatre, Poynting Building

WG1) Structure Functions and Parton Densities WG1 Structure Functions and Parton Densities

Speaker

Dr Mariane Mangin-Brinet (LPSC/CNRS)

Description

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 $\chi^2$ 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.

Authors

Dr Mariane Mangin-Brinet (LPSC/CNRS) Mr Gabin Gbedo (LPSC/CNRS)

Presentation materials