Neural Network Generalized Parton Distributions (NNGPD)
High Energy Physics - Phenomenology
2026-05-14 v1
Abstract
Generalized parton distributions (GPDs) serve as indispensable tools for the exploration of proton structure. In this study, we offer a deep learning-assisted framework for the extraction of GPDs from experimental data and the results of ab-initio lattice quantum chromodynamics (LQCD).
Cite
@article{arxiv.2605.13000,
title = {Neural Network Generalized Parton Distributions (NNGPD)},
author = {Zaki Panjsheeri and Simonetta Liuti},
journal= {arXiv preprint arXiv:2605.13000},
year = {2026}
}