With Bayesian inference, we investigate the impact of recent near-threshold ๐ฝ/๐ production measurements by the ๐ฝ/๐โข007 experiment and GlueX Collaboration on the extraction of proton gravitational form factors. We apply the generalized parton distribution framework at the next to leading order and demonstrate a stable expansion for the near-threshold kinematics. We find that the experimental constraints are in good agreement with the state-of-the-art lattice simulations, where negative ๐ถ๐โก(๐ก) and ๐ถ๐โก(๐ก) are strongly preferred. This highlights a great potential to extract them from future high-precision experiments.
@article{osti_2998130,
author = {Guo, Yuxun and Yuan, Feng and Zhao, Wenbin},
title = {Bayesian Inferring Nucleon Gravitational Form Factors via Near-Threshold ๐ฝ/๐ Photoproduction},
annote = {With Bayesian inference, we investigate the impact of recent near-threshold ๐ฝ/๐ production measurements by the ๐ฝ/๐โข007 experiment and GlueX Collaboration on the extraction of proton gravitational form factors. We apply the generalized parton distribution framework at the next to leading order and demonstrate a stable expansion for the near-threshold kinematics. We find that the experimental constraints are in good agreement with the state-of-the-art lattice simulations, where negative ๐ถ๐โก(๐ก) and ๐ถ๐โก(๐ก) are strongly preferred. This highlights a great potential to extract them from future high-precision experiments.},
doi = {10.1103/3x7r-ythq},
url = {https://www.osti.gov/biblio/2998130},
journal = {Physical Review Letters},
issn = {ISSN 0031-9007},
number = {11},
volume = {135},
place = {United States},
publisher = {American Physical Society (APS)},
year = {2025},
month = {09}}