The neural network approach to parton distributions

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

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To appear in Proceedings of the HERA-LHC workshop 2005, 4 pages, 2 figures, plot updated

Scientific paper

We introduce the neural network approach to global fits of parton
distrubution functions. First we review previous work on unbiased
parametrizations of deep-inelastic structure functions with faithful estimation
of their uncertainties, and then we summarize the current status of neural
network parton distribution fits.

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