Self-Orgazing Maps Parametrization of Parton Distribution Functions

Abstract

We describe a new method to extract parton distribution functions both in the unpolarized and the polarized case, based on a type of neural networks, the Self-Organizing Maps. Initial quantitative results of our Next to Leading Order analysis are presented for the unpolarized case.

Comments: 5 pages, 1 figure, to appear in the proceedings of "XVIII International Workshop on Deep-Inelastic Scattering and Related Subjects April 19 -23, 2010 Convitto della Calza, Firenze, Italy"