Skip to content

  • Home
  • The collaboration
    • People
    • Institutes
    • Structure
  • Research
    • Global QCD analysis and machine learning
    • General strategy
    • Data
    • Neural Networks
    • Minimization
    • Cross-validation
    • Closure testing
    • Future testing
    • Hyperparameter Scan
    • Current research
  • For users
    • NNPDF code
    • Unpolarized PDF sets
    • Polarized PDF sets
    • Nuclear PDFs
    • Fragmentation functions
    • Neutrino Structure Functions
    • Tools
  • Documents
    • Papers
    • Talks
    • Lectures
    • Theses
    • Schools
  • Media
  • For the public

Search

NNPDF3.1nuc

NNPDF3.1nuc

Nuclear Uncertainties in the Determination of Proton PDFs

Summary

We show how theoretical uncertainties due to nuclear effects may be incorporated into global fits of proton parton distribution functions (PDFs) that include deep-inelastic scattering and Drell-Yan data on nuclear targets. We specifically consider the CHORUS, NuTeV and E605 data included in the NNPDF3.1 fit, which used Pb, Fe and Cu targets, respectively.
We show that the additional uncertainty in the proton PDFs due to nuclear effects is small, as expected, and in particularthat the effect on the \bar{d}/\bar{u} ratio, the total strangeness s+\bar{s}, and the strange valence distribution s-\bar{s} is negligible.

Paper: arXiv:1812.09074

Parton sets available from the authors upon request.

About Accepta

Accepta is a modern, responsive WordPress theme designed for businesses, portfolios, and blogs.

About WPDINO

WPDINO is a WordPress development company. We create beautiful, functional themes that help businesses grow online.

Quick Links

  • Home
  • About
  • Services
  • Contact
  • Privacy Policy

Search

LinkedIn
© 2026 . Powered by WordPress.

NNPDF privacy and cookies

Our website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Please visit our Privacy and cookies page for more information about cookies and how to disable them.

Close