arXiv:hep-ph/0505044·v2·High Energy Physics — Phenomenology
The neural network approach to parton fitting
Joan Rojo · Andrea Piccione (for the NNPDF Collaboration)
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.
Comments: To appear in the proceedings of "DIS 2005: XIII International Workshop on Deep Inelatic Scattering" (Madison, Wisconsin, April 2005). 5 pages, 4 figures