Abstract

We present new sets of nuclear parton distribution functions (nPDFs) at next-to-leading order (NLO) and next-to-next-to-leading order (NNLO). Our analyses are based on deeply inelastic scattering data with charged-lepton and neutrino beams on nuclear targets. In addition, a set of proton baseline PDFs is fitted within the same framework with the same theoretical assumptions. The results of this global QCD analysis are compared to existing nPDF sets and to the fitted cross sections. Also, the uncertainties resulting from the limited constraining power of the included experimental data are presented. The published work is based on an open-source tool, xFitter, which has been modified to be applicable also for a nuclear PDF analysis. The required extensions of the code are discussed as well.

Highlights

  • Phenomenology based on collinear factorization [1] has proven extremely successful in the era of the Large Hadron Collider (LHC)

  • We have presented new sets of nuclear parton distribution functions (nPDFs), which we refer to as TUJU19, at NLO and next-to-next-to-leading order (NNLO)

  • Contrary to most previous analyses, our nPDF sets are based on a proton baseline fitted within the same framework, which guarantees consistency throughout the analysis concerning the series of choices on parameter values, assumptions, constraints and kinematical cuts that need to be made when performing a global analysis

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Summary

Introduction

Phenomenology based on collinear factorization [1] has proven extremely successful in the era of the Large Hadron Collider (LHC) In this approach the parton distribution functions (PDFs) [2], describing the number distributions of quarks and gluons in the colliding hadrons, are factorized from the hard partonic scattering. The latter can be calculated within perturbative quantum chromodynamics (QCD) [3,4] but the PDFs have to be determined in a global analysis using experimental data and Dokshitzer-GribovLipatov-Altarelli-Parisi (DGLAP) equations that provide the scale evolution of the PDFs [5,6,7,8]. The data suitable for nuclear PDF (nPDF) analyses are far more

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