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19932026
most citedParton distributions for the LHC Run II

2.6k citations · 12.2k across the 130 of their papers we have counts for

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10 papers · 1 filter

hep-ph2024★ 5 cited

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…

hep-lat2024

Approaches to the Inverse Problem

Luigi Del Debbio, Alessandro Lupo, Marco Panero +1

The analytical continuation of correlation functions from imaginary to real time is a crucial step in lattice gauge theories, and it challenges our ability to derive non-perturbati…

hep-lat2024

Bayesian solution to the inverse problem and its relation to Backus-Gilbert methods

Luigi Del Debbio, Alessandro Lupo, Marco Panero +1

The problem of obtaining spectral densities from lattice data has been receiving great attention due to its importance in our understanding of scattering processes in Quantum Field…

hep-lat2024

Absorbing discretisation effects with a massive renormalization scheme: the charm-quark mass

Luigi Del Debbio, Felix Erben, Jonathan M. Flynn +2

We present the first numerical implementation of the massive SMOM (mSMOM) renormalization scheme and use it to calculate the charm quark mass. Based on ensembles with three flavour…

hep-lat2024

Meson spectroscopy from spectral densities in lattice gauge theories

Ed Bennett, Luigi Del Debbio, Niccolò Forzano +10

Spectral densities encode non-perturbative information that enters the calculation of a plethora of physical observables in strongly coupled field theories. Phenomenological applic…

hep-ph2024★ 1 cited

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…