Parton distribution functions and nuclear EMC effect in a statistical model
Lijing Shao, Yunhua Zhang, Bo-Qiang Ma

TL;DR
This paper introduces a simple statistical model to calculate nucleon PDFs using light-front variables and explains the nuclear EMC effect by treating temperature as a function of atomic number, providing distinct predictions for PDF ratios.
Contribution
It presents a novel statistical approach to compute nucleon PDFs and models the nuclear EMC effect by linking temperature to atomic number, offering new testable predictions.
Findings
Derived analytic x-dependent PDFs across the entire x range.
Predicted PDF ratios significantly differ from existing models.
Suggested experiments to measure PDF ratios for model discrimination.
Abstract
A new and simple statistical approach is performed to calculate the parton distribution functions (PDFs) of the nucleon in terms of light-front kinematic variables. Analytic expressions of x-dependent PDFs are obtained in the whole x region. And thereafter, we treat the temperature T as a parameter of the atomic number A to explain the nuclear EMC effect in the region . We give the predictions of PDF ratios, and they are very different from those by other models, thus experiments aiming at measuring PDF ratios are suggested to provide a discrimination of different models.
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