Bayesian Inferring Nucleon Gravitational Form Factors via Near-Threshold J / ψ Photoproduction
Year: 2025
Type: article
Abstract: With Bayesian inference, we investigate the impact of recent near-threshold J/ψ production measurements by the J/ψ007 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 C_{q}(t) and C_{g}(t) are strongly preferred. This highlights a great potential to extract them from future high-precision experiments.
Source: Physical Review Letters
DOI: 10.1103/3x7r-ythq
Authors: Yuxun Guo, Feng Yuan, Wenbin Zhao
Institution: Lawrence Berkeley National Laboratory
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,750
Awards: G1286236842, G1863003419, G2399599801, G2821925151, G3083819904, CSSI: Frameworks: X-Ion Collisions with a Statistically and Computationally Advanced Program Envelope (X-SCAPE), G419881185, G42916606, G4501827968, G498139845, G5027663112, G6652958823, 3D QUARK-GLUON STRUCTURE OF HADRONS: MASS, SPIN, AND TOMOGRAPHY, G969889393
OpenAlex ID: W4414091499