429 citations · 926 across the 21 of their papers we have counts for
22 papers
Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model
Juan M. Cruz-Martinez, Tommaso Giani, Tanjona R. Rabemananjara
We present a new automated procedure for selecting fitting methodologies in the determination of parton distribution functions (PDFs), based on a hyperoptimisation algorithm using…
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…
Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions
Alessandro Candido, Luigi Del Debbio, Tommaso Giani +1
We discuss a Bayesian methodology for the solution of the inverse problem underlying the determination of parton distribution functions (PDFs). In our approach, Gaussian Processes…
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…
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…
The LHC as a Neutrino-Ion Collider
Juan M. Cruz-Martinez, Max Fieg, Tommaso Giani +4
Proton-proton collisions at the LHC generate a high-intensity collimated beam of neutrinos in the forward (beam) direction, characterised by energies of up to several TeV. The rece…
On the positivity of MSbar parton distributions
Alessandro Candido, Stefano Forte, Tommaso Giani +1
We revisit our argument that shows that parton distribution Functions (PDFs) in the MSbar{ scheme are non-negative in the perturbative region, with the main goals of elucidating it…
Inverse Problems in PDF Determinations
Alessandro Candido, Luigi Del Debbio, Tommaso Giani +1
The determination of Parton Distribution Functions from a finite set of data is a typical example of an inverse problem. Inverse problems are notoriously difficult to solve, in par…
SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories
Tommaso Giani, Giacomo Magni, Juan Rojo
The Standard Model Effective Field Theory (SMEFT) provides a robust framework to interpret experimental measurements in the context of new physics scenarios while minimising assump…
Evidence for intrinsic charm quarks in the proton
Richard D. Ball, Alessandro Candido, Juan Cruz-Martinez +6
The theory of the strong force, quantum chromodynamics, describes the proton in terms of quarks and gluons. The proton is a state of two up quarks and one down quark bound by gluon…
NNNPDF3.0: Evidence for a modified partonic structure in heavy nuclei
Rabah Abdul Khalek, Rhorry Gauld, Tommaso Giani +3
We present an updated determination of nuclear parton distributions (nPDFs) from a global NLO QCD analysis of hard processes in fixed-target lepton-nucleus and proton-nucleus toget…
Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing
Luigi Del Debbio, Tommaso Giani, Michael Wilson
We discuss the Bayesian approach to the solution of inverse problems and apply the formalism to analyse the closure tests performed by the NNPDF collaboration. Starting from a comp…
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…
Parton distributions and lattice QCD calculations: toward 3D structure
Martha Constantinou, Aurore Courtoy, Markus A. Ebert +24
The strong force which binds hadrons is described by the theory of Quantum Chromodynamics (QCD). Determining the character and manifestations of QCD is one of the most important an…
Phenomenology of NNLO jet production at the LHC and its impact on parton distributions
Rabah Abdul Khalek, Stefano Forte, Thomas Gehrmann +8
We present a systematic investigation of jet production at hadron colliders from a phenomenological point of view, with the dual aim of providing a validation of theoretical calcul…
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…
Fitting the b-quark PDF as a massive-b scheme: Higgs production in bottom fusion
Stefano Forte, Tommaso Giani, Davide Napoletano
We show that a simple and accurate approach to the computation of hadron collider processes involving initial-state quarks can be obtained by introducing an independently param…
Machine learning determination of dynamical parameters: The Ising model case
Guido Cossu, Luigi Del Debbio, Tommaso Giani +2
We train a set of Restricted Boltzmann Machines (RBMs) on one- and two-dimensional Ising spin configurations at various values of temperature, generated using Monte Carlo simulatio…