NNPDF1.0 parton set for the LHC

Abstract

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

To appear in the proceedings of 14th International QCD Conference (QCD08), Montpellier, France, 7-12th July 2008

References in corpus (5)

• Next-to-leading order corrections to W+2 jet and Z+2 jet production at hadron colliders
• Update of Parton Distributions at NNLO
• Neural Network Parametrization of Deep-Inelastic Structure Functions
• Heavy Quark Mass Effects in Deep Inelastic Scattering and Global QCD Analysis
• Parton distribution functions from the precise NNLO QCD fit

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• Search for supersymmetry in the vector-boson fusion topology in proton-proton collisions at sqrt(s) = 8 TeV
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