Self-Organizing Maps Parametrization of Deep Inelastic Structure Functions with Error Determination

Abstract

We present and discuss a new method to extract parton distribution functions from hard scattering processes based on an alternative type of neural network, the Self-Organizing Map. Quantitative results including a detailed treatment of uncertainties are presented within a Next to Leading Order analysis of inclusive electron proton deep inelastic scattering data.

Comments: 16 pages, 12 figures