Nuclear parton distributions at next to leading order

2003/11/18 by D. de Florian, Daniel de Florian, R. Sassot · 25 citations
Physics and Astronomy · #Artificial intelligence #Computer science #Convolution (computer science) #DGLAP #Deep inelastic scattering #High-Energy Particle Collisions Research #Inelastic scattering #Nuclear physics #Order (exchange) #Particle physics #Particle physics theoretical and experimental studies #Parton #Physics #Quantum Chromodynamics and Particle Interactions #Quantum chromodynamics #Quantum mechanics #Scattering #hep-ph

paper · pdf · doi:10.1103/physrevd.69.074028

published as Phys.Rev.D69:074028,2004 · 9 pages, 10 figures

arxiv created 2003/11/18 · openalex publication_date 2004/04/28 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

We perform a next to leading order QCD global analysis of nuclear deep inelastic scattering and Drell-Yan data using the convolution approach to parametrize nuclear parton densities. We find both a significant improvement in the agreement with data compared to previous extractions, and substantial differences in the scale dependence of nuclear effects compared to leading order analyses.

Citations

• Neutrino interactions in oscillation experiments
• Scale evolution of nuclear parton distributions
• Next-to-leading order QCD corrections to one-hadron production in polarizedppcollisions at BNL RHIC
• Absence of Suppression in Particle Production at Large Transverse Momentum insNN=200 GeVd+AuCollisions
• Suppressedπ0Production at Large Transverse Momentum in CentralAu+AuCollisions atsNN=200 GeV

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