429 citations · 530 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Correlation of Theoretical Uncertainties in PDF Fits and Theoretical Uncertainties in Predictions
Richard D. Ball, Rosalyn L. Pearson
We show how to account for correlations between theoretical uncertainties incorporated in parton distribution function (PDF) fits, and the theoretical uncertainties in the predicti…