The path to proton structure at 1% accuracy

Abstract We present a new set of parton distribution functions (PDFs) based on a fully global dataset and machine learning techniques: NNPDF4.0. We expand the NNPDF3.1 determination with 44 new datasets, mostly from the LHC. We derive a novel methodology through hyperparameter optimization, leading...

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Bibliographic Details
Published in:European Physical Journal C: Particles and Fields
Main Authors: Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez, Luigi Del Debbio, Stefano Forte, Tommaso Giani, Shayan Iranipour, Zahari Kassabov, Jose I. Latorre, Emanuele R. Nocera, Rosalyn L. Pearson, Juan Rojo, Roy Stegeman, Christopher Schwan, Maria Ubiali, Cameron Voisey, Michael Wilson
Format: Article
Language:English
Published: SpringerOpen 2022-05-01
Online Access:https://doi.org/10.1140/epjc/s10052-022-10328-7

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https://doi.org/10.1140/epjc/s10052-022-10328-7

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