Statistical effect in the parton distribution functions of the nucleon
Yunhua Zhang, Lijing Shao, Bo-Qiang Ma

TL;DR
This paper introduces a straightforward statistical method to calculate nucleon parton distribution functions using light-front variables, achieving better agreement with experimental data, especially at low x, without arbitrary parameters.
Contribution
It presents a novel, parameter-free statistical approach for deriving nucleon PDFs in the light-front framework, improving upon previous models.
Findings
Analytic x-dependent PDFs obtained across the entire x range.
Enhanced agreement with experimental data at low-x.
Discussion of heavy-flavored PDFs included.
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. We do not put in any extra arbitrary parameter or corrected term by hand, which guarantees the stringency of our approach. Analytic expressions of the -dependent PDFs are obtained in the whole region [0,1], and some features, especially the low- rise, are more agreeable with experimental data than those in some previous instant-form statistical models in the infinite-momentum frame (IMF). Discussions on heavy-flavored PDFs are also presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
