We present recent progress within the NNPDF parton analysis framework. After a brief review of the results from the DIS NNPDF analysis, NNPDF1.0, we discuss results from an updated analysis with independent parametrizations for the strange and anti-strange distributions, denoted by NNPDF1.1. We examine the phenomenological implications of this improved analysis for the strange PDFs.
@article{arxiv.0811.2288,
title = {Update on Neural Network Parton Distributions: NNPDF1.1},
author = {NNPDF Collaboration and Juan Rojo and Richard D. Ball and Luigi Del Debbio and Stefano Forte and Alberto Guffanti and Jose I. Latorre and Andrea Piccione and Maria Ubiali},
journal= {arXiv preprint arXiv:0811.2288},
year = {2008}
}
Comments
5 pages, 6 figures, proceedings of the International Symposium on Multiparticle Dynamics 08, 15-20 september 2008, DESY