An analysis of nuclear parton distribution function based on relative entropy

TL;DR

This paper introduces a relative entropy-based method to analyze nuclear parton distribution functions, providing insights into the EMC effect and gluon distributions, with results aligning well with recent global fits.

Contribution

The study applies relative entropy to nuclear PDFs, offering a novel approach to understanding nucleon structure and guiding future global fitting efforts.

Findings

Results for quark structure functions agree with recent global fits.

EPPS21's central values are closer to the minimum relative entropy hypothesis.

The method offers new insights into gluon nuclear PDFs.

Abstract

In this work, we propose a method to quantify the difference between nuclear parton distribution functions in different nuclei and parton distribution functions in free nucleons using the relative entropy (also known as Kullback-Leibler divergence), a measure widely employed in quantum information theory. By introducing certain constraints and the ``minimum relative entropy" hypothesis, we can determine the shape of the structure function in the intermediate-$x$ region, which is intimately connected with the renowned EMC effect. For quark structure functions, our results align with the latest global fits to experimental data. This agreement suggests that the relative entropy-based methodology may provide novel insight into the structure of nucleons, particularly in cases where experimental data and theoretical QCD constraints are limited, such as those pertinent to gluon nPDFs. Therefore, we applied this methodology to gluon nPDFs, analyzing the results from two commonly used global fitting groups, EPPS21 and nNNPDF3.0. Our analysis suggests that the central values of EPPS21 align more closely with the ``minimum relative entropy" hypothesis. This finding underscores the utility of the proposed method and provides a valuable reference for future global fitting of nPDFs.