In the context of the CT14 analysis of parton distribution functions, we propose a new technique for generation of Monte-Carlo replica sets from Hessian eigenvector sets. The technique preserves non-negative behavior and asymmetry properties of Hessian eigenvector sets. The generated ensemble of Monte-Carlo replicas is suitable for various applications, such as Bayesian reweighting and combination of PDF ensembles.
Volume 265 -
XXIV International Workshop on Deep-Inelastic Scattering and Related Subjects (DIS2016) -
WG1: Structure functions and parton densities
CT14 Monte-Carlo parton distributions with positivity and asymmetric uncertainties
Full text:
pdf
Supplementary files:
Published on:
November 09, 2016
Abstract
DOI: https://doi.org/10.22323/1.265.0034
How to cite
Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.
Open Access
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.