Mar 23 – 27, 2020
Brooklyn, NY
US/Eastern timezone

Critical analysis of Bayesian approaches to PDF uncertainties

Mar 24, 2020, 5:45 PM
15m
Brooklyn, NY

Brooklyn, NY

333 Adams Street, Brooklyn, New York 11201, USA
Contributed Talk Structure Functions and Parton Densities Structure function and parton densities

Speaker

Wally Melnitchouk (Jefferson Lab)

Description

We present a comprehensive review of existing Monte Carlo methods used in global QCD analyses of parton distribution functions. We critically examine the interpretability of uncertainties on extracted parton distributions against nested sampling and the more traditional Hessian approach. We show how in some cases the inclusion of resampling, partition, and cross-validation of the data can inflate uncertainties on the fitted distributions, and formulate criteria to assess incompatibilities of data sets included in a fit.

Primary authors

Alberto Accardi (Hampton U. and Jefferson Lab) Wally Melnitchouk (Jefferson Lab) Emanuele Roberto Nocera (University of Oxford) nobuo sato (Jefferson Lab) Martin White (University of Adelaide)

Presentation materials

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