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arXiv · 1309.7085

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

Evan Askanazi·Katherine Holcomb·Simonetta Liuti
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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.

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Evan Askanazi, Katherine Holcomb, Simonetta Liuti. 2013-09-26. Self-Organizing Maps Parametrization of Deep Inelastic Structure Functions with Error Determination. https://arxiv.org/abs/1309.7085

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