Publications (7)
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…
Parton distributions with scale uncertainties: a MonteCarlo sampling approach
Zahari Kassabov, Maria Ubiali, Cameron Voisey
We present the MCscales approach for incorporating scale uncertainties in parton distribution functions (PDFs). The new methodology builds on the Monte Carlo sampling for propagati…
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…
Single Top Production in PDF fits
Emanuele R. Nocera, Maria Ubiali, Cameron Voisey
We study the impact of recent LHC -channel single top-quark and top-antiquark measurements at centre-of-mass energies of 7, 8 and 13 TeV on the parton distribution functions (PD…
Parton distributions in the SMEFT from high-energy Drell-Yan tails
Admir Greljo, Shayan Iranipour, Zahari Kassabov +5
The high-energy tails of charged- and neutral-current Drell-Yan processes provide important constraints on the light quark and anti-quark parton distribution functions (PDFs) in th…
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…