32 citations · 47 across the 4 of their papers we have counts for
8 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…
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…
Deuteron Uncertainties in the Determination of Proton PDFs
Richard D. Ball, Emanuele R. Nocera, Rosalyn L. Pearson
We evaluate the uncertainties due to nuclear effects in global fits of proton parton distribution functions (PDFs) that utilise deep-inelastic scattering and Drell-Yan data on deut…
Parton Distributions with Theory Uncertainties: General Formalism and First Phenomenological Studies
The NNPDF Collaboration, Rabah Abdul Khalek, Richard D. Ball +11
We formulate a general approach to the inclusion of theoretical uncertainties, specifically those related to the missing higher order uncertainty (MHOU), in the determination of pa…
A First Determination of Parton Distributions with Theoretical Uncertainties
The NNPDF Collaboration, Rabah Abdul Khalek, Richard D. Ball +11
The parton distribution functions (PDFs) which characterize the structure of the proton are currently one of the dominant sources of uncertainty in the predictions for most process…