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The neural network approach to parton distribution functions

Joan Rojo
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Abstract

We introduce the neural network approach to the parametrization of parton distributions. After a general introduction, we present in detail our approach to parametrize experimental data, based on a combination of Monte Carlo methods and neural networks. We apply this strategy first in three different cases: the proton structure function, hadronic tau decays and B meson decay spectra. Finally we describe the neural network approach applied to the parametrization of parton distribution functions, and present results on the nonsinglet parton distribution.

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Joan Rojo. 2006-07-11. The neural network approach to parton distribution functions. https://arxiv.org/abs/hep-ph/0607122

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