Physics – High Energy Physics – High Energy Physics - Phenomenology
Scientific paper
2005-01-09
JHEP0503:080,2005
Physics
High Energy Physics
High Energy Physics - Phenomenology
19 pages, 8 figures. Corrected treatment of normalization uncertainties. Tables 3-6 and Figures 3-7 updated, eqs 13-14 added
Scientific paper
We construct a parametrization of the deep-inelastic structure function of the proton F_2 based on all available experimental information from charged lepton deep-inelastic scattering experiments. The parametrization effectively provides a bias-free determination of the probability measure in the space of structure functions, which retains information on experimental errors and correlations. The result is obtained in the form of a Monte Carlo sample of neural networks trained on an ensemble of replicas of the experimental data. We discuss in detail the techniques required for the construction of bias-free parameterizations of large amounts of structure function data, in view of future applications to the determination of parton distributions based on the same method.
Debbio Luigi Del
Forte Stefano
Latorre Jose I.
Piccione Andrea
Rojo Joan
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