Recent progress on NNPDF for LHC

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dc.creatorNNPDF Collaboration
dc.creatorUbiali, M.
dc.creatorBall, R. D.
dc.creatorDel Debbio, L.
dc.creatorForte, S.
dc.creatorGuffanti, A.
dc.creatorLatorre, J. I.
dc.creatorPiccione, A.
dc.creatorRojo, J.
dc.date2008-05-20
dc.date.accessioned2026-07-07T09:39:53Z
dc.date.available2026-07-07T09:39:53Z
dc.descriptionWe present recent results of the NNPDF collaboration on a full DIS analysis of Parton Distribution Functions (PDFs). Our method is based on the idea of combining a Monte Carlo sampling of the probability measure in the space of PDFs with the use of neural networks as unbiased universal interpolating functions. The general structure of the project and the features of the fit are described and compared to those of the traditional approaches.
dc.description4 pages, 6 figures, contribution for the proceedings of the conference "Rencontres de Moriond, QCD and High Energy Interactions"
dc.identifierhttps://arxiv.org/abs/0805.3100
dc.identifierhttp://arxiv.org/abs/0805.3100
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/161342
dc.subjectHigh Energy Physics - Phenomenology
dc.titleRecent progress on NNPDF for LHC
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