429 citations · 637 across the 23 of their papers we have counts for
25 papers
A Determination of the Top Mass from a Global PDF Analysis
Richard D. Ball, Jaco ter Hoeve, Roy Stegeman
We present an indirect determination of the top-quark pole mass within a global analysis of parton distribution functions (PDFs), based on the public NNPDF framework. We cons…
Parton distribution functions and theory parameters: an NNPDF perspective
Richard D. Ball, Tommaso Giani, Felix Hekhorn +5
Parton Distribution Functions (PDFs) are a key ingredient in theoretical predictions for Large Hadron Collider (LHC) observables and play a central role in the extraction of precis…
Extractions of the strong coupling from collider data without PDF refitting are biased
Stefano Forte, Juan Rojo, Roy Stegeman
We present an explicit demonstration that a determination of the strong coupling constant from deep-inelastic scattering and hadron collider data without a simultaneous…
Parton distributions with higher twist and jet power corrections
Richard D. Ball, Amedeo Chiefa, Roy Stegeman
We present a global determination of parton distribution functions (PDFs) that accounts for higher twist corrections in deep-inelastic scattering (DIS) and linear power corrections…
A Determination of at Accuracy from a Global PDF Analysis
The NNPDF Collaboration, Richard D. Ball, Andrea Barontini +6
We present a determination of the strong coupling from a global dataset including both fixed-target and collider data from deep-inelastic scattering and a variety of had…
Parton distributions confront LHC Run II data: a quantitative appraisal
Amedeo Chiefa, Mark N. Costantini, Juan Cruz-Martinez +6
We present a systematic comparison of theoretical predictions and various high-precision experimental measurements, specifically of differential cross sections performed by the LHC…
Combination of aNLO PDFs and implications for Higgs production cross-sections at the LHC
Thomas Cridge, Lucian A. Harland-Lang, Jamie McGowan +14
We discuss how the two existing approximate NLO (aNLO) sets of parton distributions (PDFs) from the MSHT20 and NNPDF4.0 series can be combined for LHC phenomenology, both i…
Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure
Juan Cruz-Martinez, Aaron Jansen, Gijs van Oord +4
Deep learning models are defined in terms of a large number of hyperparameters, such as network architectures and optimiser settings. These hyperparameters must be determined separ…
An FONLL prescription with coexisting flavor number PDFs
Andrea Barontini, Alessandro Candido, Felix Hekhorn +2
We present a new prescription to account for heavy quark mass effects in the determination of parton distribution functions (PDFs) based on the FONLL scheme. Our prescription makes…
Heavy Quarks in Polarised Deep-Inelastic Scattering at the Electron-Ion Collider
Felix Hekhorn, Giacomo Magni, Emanuele R. Nocera +4
We extend the FONLL general-mass variable-flavour-number scheme to the case of longitudinally polarised DIS structure functions, accounting for perturbative corrections up to $\mat…
The Path to NLO Parton Distributions
The NNPDF Collaboration, Richard D. Ball, Andrea Barontini +16
We extend the existing leading (LO), next-to-leading (NLO), and next-to-next-to-leading order (NNLO) NNPDF4.0 sets of parton distribution functions (PDFs) to approximate next-to-ne…
Yadism: Yet Another Deep-Inelastic Scattering Module
Alessandro Candido, Felix Hekhorn, Giacomo Magni +2
We present yadism, a library for the evaluation of both polarized and unpolarized deep-inelastic scattering (DIS) structure functions and cross sections up to NLO in perturbati…
Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy
The NNPDF Collaboration, Richard D. Ball, Andrea Barontini +16
We include uncertainties due to missing higher order corrections to QCD computations (MHOU) used in the determination of parton distributions (PDFs) in the recent NNPDF4.0 set of P…
Photons in the proton: implications for the LHC
The NNPDF Collaboration, Richard D. Ball, Andrea Barontini +16
We construct a set of parton distribution functions (PDFs), based on the recent NNPDF4.0 PDF set, that also include a photon PDF. The photon PDF is constructed using the LuxQED for…
The intrinsic charm quark valence distribution of the proton
Richard D. Ball, Alessandro Candido, Juan Cruz-Martinez +7
We provide a first quantitative indication that the wave function of the proton contains unequal distributions of charm quarks and antiquarks, i.e. a nonvanishing intrinsic valence…
Neutrino Structure Functions from GeV to EeV Energies
Alessandro Candido, Alfonso Garcia, Giacomo Magni +3
The interpretation of present and future neutrino experiments requires accurate theoretical predictions for neutrino-nucleus scattering rates. Neutrino structure functions can be r…
The negligible impact of experimental inconsistencies in the NNPDF4.0 global dataset
Roy Stegeman
As both predictions and measurements of high-energy physics observables become more precise, controlling all sources of uncertainties in determinations of parton distribution funct…
Response to "Parton distributions need representative sampling"
The NNPDF Collaboration, Richard D. Ball, Juan Cruz-Martinez +7
We respond to the criticism raised by Courtoy et al., in which the faithfulness of the NNPDF4.0 sampling is questioned and an under-estimate of the NNPDF4.0 PDF uncertainties is im…
Approximating missing higher-orders in transverse momentum distributions using resummations
Niccolò Laurenti, Tanjona R. Rabemananjara, Roy Stegeman
We present a more reliable approach to approximate the unknown next-to-next-to-next-to-leading order (N3LO) transverse momentum distribution of colourless final states, namely the…
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann +48
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…
A data-based parametrization of parton distribution functions
Stefano Carrazza, Juan M. Cruz-Martinez, Roy Stegeman
Since the first determination of a structure function many decades ago, all methodologies used to determine structure functions or parton distribution functions (PDFs) have employe…
Correlation and Combination of Sets of Parton Distributions
Richard D. Ball, Stefano Forte, Roy Stegeman
We study the correlation between different sets of parton distributions (PDFs). Specifically, viewing different PDF sets as distinct determinations, generally correlated, of the sa…
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…