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20242026
most citedDetermination of proton PDF uncertainties with Markov chain Monte Carlo

2 citations · 2 across the 6 of their papers we have counts for

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hep-ph2026

Parton and nuclear dynamics at large : the CJ26 global QCD analysis

Alberto Accardi, Matteo Cerutti, Cynthia E. Keppel +4

We present the new CTEQ-JLab global QCD analysis, called CJ26, that simultaneously fits parton distribution functions of the proton and nuclear effects in deuteron targets. This wo…

hep-ph2026

CJ26 Global QCD Analysis with Large- Jefferson Lab 6 and 12 GeV Data

Alberto Accardi, Matteo Cerutti, Cynthia E. Keppel +4

We present CJ26, the new CTEQ-JLab global QCD analysis that incorporates for the first time the complete suite of JLab 6 GeV DIS measurements and the first published JLab 12 GeV me…

hep-ph2025

Heavy-quark contributions to the DIS structure functions and at NLO in the ACOT scheme

Edoardo Spezzano, Tomas Jezo, Michael Klasen +2

We compute the contributions of heavy quarks to the deep-inelastic scattering structure functions and at next-to-leading order of perturbative QCD in the ACOT scheme. B…

hep-ph2025★ 2 cited

Determination of proton PDF uncertainties with Markov chain Monte Carlo

Peter Risse, Nasim Derakhshanian, Tomas Jezo +2

We present an analysis of parton distribution functions (PDFs) of the proton using Markov Chain Monte Carlo (MCMC) methods. The MCMC approach naturally implements Bayes' theorem an…

hep-ph2025

Heavy quark mass effects in charged-current deep-inelastic scattering at approximate NNLO in the Aivazis-Collins-Olness-Tung scheme

Peter Risse, Valerio Bertone, Tomas Ježo +4

The approximate SACOT- scheme for heavy quark production in deep-inelastic scattering was initially formulated for the neutral current structure functions and . We ex…

hep-ph2024

A Markov Chain Monte Carlo determination of Proton PDF uncertainties at NNLO

Peter Risse, Nasim Derakhshanian, Tomas Ježo +2

The current scientific standard in PDF uncertainty estimation relies either on repeated fits over artificially generated data to arrive at Monte Carlo samples of best fits or on th…