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Alberto Guffanti

Researcher at University of Turin

Publications -  100
Citations -  15026

Alberto Guffanti is an academic researcher from University of Turin. The author has contributed to research in topics: Parton & Large Hadron Collider. The author has an hindex of 41, co-authored 100 publications receiving 13196 citations. Previous affiliations of Alberto Guffanti include University of Copenhagen & University of Edinburgh.

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Parton distributions with LHC data

TL;DR: In this article, the first determination of parton distributions of the nucleon at NLO and NNLO based on a global data set which includes LHC data: NNPDF2.3 is presented, which includes, besides the deep inelastic, Drell-Yan, gauge boson production and jet data already used in previous global PDF determinations, all relevant LHC Data for which experimental systematic uncertainties are currently available: ATLAS and LHCb W and Z rapidity distributions from the 2010 run, CMS W electron asymmetry data from the 2011 run,
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Parton distributions for the LHC Run II

TL;DR: In this paper, the first set of parton distribution functions (PDFs) determined with a methodology validated by a closure test is presented, which is based on LO, NLO and NNLO QCD theory and also includes electroweak corrections.
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Parton distributions from high-precision collider data

TL;DR: NNPDF31 as discussed by the authors is the first global set of PDFs determined using a methodology validated by a closure test, which is motivated by recent progress in methodology and available data, and involves both on the methodological side, parametrize and determine the charm PDF alongside the light-quark and gluon ones, thereby increasing from seven to eight the number of independent PDFs.
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Parton distributions from high-precision collider data

TL;DR: A new set of parton distributions, NNPDF3.1, is presented, which updates NN PDF3.0, the first global set of PDFs determined using a methodology validated by a closure test, and investigates the impact of parametrizing charm and evidence that the accuracy and stability of the PDFs are improved.