The neural network approach to parton fitting
High Energy Physics - Phenomenology
2019-08-14 v2
Abstract
We introduce the neural network approach to global fits of parton distribution 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.
Cite
@article{arxiv.hep-ph/0505044,
title = {The neural network approach to parton fitting},
author = {Joan Rojo and Andrea Piccione},
journal= {arXiv preprint arXiv:hep-ph/0505044},
year = {2019}
}
Comments
To appear in the proceedings of "DIS 2005: XIII International Workshop on Deep Inelatic Scattering" (Madison, Wisconsin, April 2005). 5 pages, 4 figures