Self-Orgazing Maps Parametrization of Parton Distribution Functions

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

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5 pages, 1 figure, to appear in the proceedings of "XVIII International Workshop on Deep-Inelastic Scattering and Related Subj

Scientific paper

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.

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