Progress on neural parton distributions

Abstract

We give a status report on the determination of a set of parton distributions based on neural networks. In particular, we summarize the determination of the nonsinglet quark distribution up to NNLO, we compare it with results obtained using other approaches, and we discuss its use for a determination of ${\alpha }_s$.

4 pages, 2 figs, uses dis2007.cls, to appear in the DIS 2007 workshop proceedings

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• Uncertainties of predictions from parton distributions. I: experimental errors
• Neural Network Parametrization of Deep-Inelastic Structure Functions
• Parton distributions from deep-inelastic-scattering data
• Non--Singlet QCD Analysis of Deep Inelastic World Data at \boldmath $O({\alpha }_s^3)$
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• The Status of the Polarized Parton Densities
• Structure Functions and Low-x