A global DGLAP analysis of nuclear PDFs
K. J. Eskola, V. J. Kolhinen, H. Paukkunen, C. A. Salgado
TL;DR
This paper presents an updated global analysis of nuclear parton distribution functions using DGLAP evolution, incorporating automated fitting and uncertainty estimation, with findings suggesting possible stronger gluon shadowing in RHIC data.
Contribution
It introduces an improved, automated DGLAP-based global analysis of nuclear PDFs with uncertainty estimates, extending previous work.
Findings
No significant deviation from EKS98 overall.
Potential evidence of stronger gluon shadowing in RHIC BRAHMS data.
Enhanced analysis with automated $ ext{chi}^2$ minimization.
Abstract
In this talk, we shortly report results from our recent global DGLAP analysis of nuclear parton distributions. This is an extension of our former EKS98-analysis improved with an automated minimization procedure and uncertainty estimates. Although our new analysis show no significant deviation from EKS98, a sign of a significantly stronger gluon shadowing could be seen in the RHIC BRAHMS data.
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