1.6k citations · 5k across the 74 of their papers we have counts for
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An open-source machine learning framework for global analyses of parton distributions
Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez +14
We present the software framework underlying the NNPDF4.0 global determination of parton distribution functions (PDFs). The code is released under an open source licence and is acc…
The Path to Proton Structure at One-Percent Accuracy
Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez +14
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…
Next generation proton PDFs with deuteron and nuclear uncertainties
Rosalyn L. Pearson, Richard D. Ball, Emanuele R. Nocera
As data become more precise, estimating theoretical uncertainties in global PDF determinations is likely to become increasingly necessary to obtain correspondingly precise PDFs. He…
A determination of unpolarised pion fragmentation functions using semi-inclusive deep-inelastic-scattering data: MAPFF1.0
Rabah Abdul Khalek, Valerio Bertone, Emanuele R. Nocera
We present MAPFF1.0, a determination of unpolarised charged-pion fragmentation functions (FFs) from a set of single-inclusive annihilation and lepton-nucleon semi-inclusiv…
Combined SMEFT interpretation of Higgs, diboson, and top quark data from the LHC
Jacob J. Ethier, Giacomo Magni, Fabio Maltoni +6
We present a global interpretation of Higgs, diboson, and top quark production and decay measurements from the LHC in the framework of the Standard Model Effective Field Theory (SM…
Future tests of parton distributions
Juan Cruz-Martinez, Stefano Forte, Emanuele R. Nocera
We discuss a test of the generalization power of the methodology used in the determination of parton distribution functions (PDFs). The "future test" checks whether the uncertainty…