arXiv:0811.2288·v1·High Energy Physics — Phenomenology
Update on Neural Network Parton Distributions: NNPDF1.1
NNPDF Collaboration: Juan Rojo🇫🇷 · Richard D. Ball🇬🇧 · Luigi Del Debbio🇬🇧 · Stefano Forte🇮🇹 · Alberto Guffanti🇩🇪 · Jose I. Latorre🇪🇸 · Andrea Piccione🇮🇹 · Maria Ubiali🇬🇧
Abstract
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.
Comments: 5 pages, 6 figures, proceedings of the International Symposium on Multiparticle Dynamics 08, 15-20 september 2008, DESY