2008

A determination of parton distributions with faithful uncertainty estimation

Ball, Richard D., Del Debbio, Luigi, Forte, Stefano et al.

Understand

We present the determination of a set of parton distributions of the nucleon, at next-to-leading order, from a global set of deep-inelastic scattering data: NNPDF1.0.

The determination is based on a Monte Carlo approach, with neural networks used as unbiased interpolants.
This method, previously discussed by us and applied to a determination of the nonsinglet quark distribution, is designed to provide a faithful and statistically sound representation of the uncertainty on parton distributions.
We discuss our dataset, its statistical features, and its Monte Carlo representation.

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