The neural network approach to parton distribution functions

Details The neural network approach to parton distribution functions The neural network approach to parton distribution functions

2006-07-11

arxiv.org/abs/hep-ph/0607122v1

Physics

High Energy Physics

High Energy Physics - Phenomenology

Ph. D. Thesis, 163 pages, version with higher resolution figures available from the following website: http://www.ecm.ub.es/

Scientific paper

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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