We present the first NNPDF full set of Parton Distribution Functions from a comprehensive DIS analysis. This approach, combining a Monte Carlo sampling of the probability measure in the space of PDFs with the use of neural networks as interpolating functions, provides a faithful and statistically sound determination of the uncertainty in parton distributions. The features of the fit and the results are discussed in details as well as some preliminary phenomenological analysis
@article{arxiv.0809.3716,
title = {NNPDF1.0 parton set for the LHC},
author = {Maria Ubiali},
journal= {arXiv preprint arXiv:0809.3716},
year = {2009}
}
Comments
To appear in the proceedings of 14th International QCD Conference (QCD08), Montpellier, France, 7-12th July 2008