Neural network approach to parton distributions fitting

Details Neural network approach to parton distributions fitting Neural network approach to parton distributions fitting

2005-09-07

arxiv.org/abs/hep-ph/0509067v2

Nucl.Instrum.Meth. A559 (2006) 203-206

Physics

High Energy Physics

High Energy Physics - Phenomenology

4 pages, 5 eps figures. Talk given by Andrea Piccione at the "X International Workshop on Advanced Computing and Analysis Tech

Scientific paper

10.1016/j.nima.2005.11.206

We will show an application of neural networks to extract information on the structure of hadrons. A Monte Carlo over experimental data is performed to correctly reproduce data errors and correlations. A neural network is then trained on each Monte Carlo replica via a genetic algorithm. Results on the proton and deuteron structure functions, and on the nonsinglet parton distribution will be shown.

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