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EPPS16: nuclear parton distributions with LHC data.

Kari J Eskola1,2, Petja Paakkinen1, Hannu Paukkunen1,2,3

  • 1University of Jyvaskyla, Department of Physics, P.O. Box 35, FI-40014 University of Jyvaskyla, Finland.

The European Physical Journal. C, Particles and Fields
|April 15, 2017
PubMed
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This summary is machine-generated.

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This study presents EPPS16, a new global analysis of nuclear parton distribution functions (PDFs) incorporating LHC data. These improved PDFs offer more objective uncertainty estimates for high-energy nuclear collision applications.

Area of Science:

  • High Energy Physics
  • Nuclear Physics
  • Quantum Chromodynamics

Background:

  • Nuclear parton distribution functions (PDFs) describe the partonic structure of atomic nuclei.
  • Previous analyses (e.g., EPS09) relied on limited data, impacting the precision of nuclear effects.
  • Incorporating new data is crucial for refining our understanding of nuclear structure at high energies.

Purpose of the Study:

  • To develop an updated global analysis of nuclear PDFs, named EPPS16.
  • To include novel data constraints from Large Hadron Collider (LHC) proton-lead collisions.
  • To provide more objective, flavor-by-flavor uncertainty estimates for nuclear effects.

Main Methods:

  • Global analysis of collinearly factorized nuclear PDFs.
  • Inclusion of diverse experimental data: charged-lepton-nucleus deep inelastic scattering (DIS), neutrino-nucleus DIS, proton-nucleus and pion-nucleus Drell-Yan (DY) production, and pion-nucleus inclusive pion production.

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  • Incorporation of new LHC proton-lead collision data, specifically dijet production.
  • Main Results:

    • The EPPS16 nuclear PDFs are derived, extending kinematic reach and improving flavor-dependent uncertainty estimates.
    • Neutrino DIS data are pivotal for consistent up and down valence quark behavior.
    • LHC dijet data provide significant constraints on gluons at large momentum fractions.

    Conclusions:

    • The EPPS16 analysis provides a more refined set of nuclear PDFs.
    • The inclusion of LHC data enhances the precision and reliability of nuclear PDF determinations.
    • EPPS16 is available for applications in high-energy nuclear collision research.