The neural network approach to parton distributions
High Energy Physics - Phenomenology
2019-08-14 v3
Abstract
We introduce the neural network approach to global fits of parton distrubution functions. First we review previous work on unbiased parametrizations of deep-inelastic structure functions with faithful estimation of their uncertainties, and then we summarize the current status of neural network parton distribution fits.
Keywords
Cite
@article{arxiv.hep-ph/0509059,
title = {The neural network approach to parton distributions},
author = {Andrea Piccione and Joan Rojo},
journal= {arXiv preprint arXiv:hep-ph/0509059},
year = {2019}
}
Comments
To appear in Proceedings of the HERA-LHC workshop 2005, 4 pages, 2 figures, plot updated