Bayesian Inferring Nucleon's Gravitation Form Factors via Near-threshold J/ψ Photoproduction

2025/01/17 by Guo, Yuxun, Yuan, Feng, Zhao, Wenbin · 4 citations
#FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Phenomenology (hep-ph) #Nuclear Theory (nucl-th)

paper · doi:10.48550/arxiv.2501.10532

Abstract

With Bayesian inference, we investigate the impact of recent near-threshold J/ψ production measurements by the J/ψ 007 experiment and GlueX collaboration on the extraction of proton's 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.

Cited by

• Generalized parton distributions and gravitational form factors at large momentum transfer
• Toward an event-level analysis of hadron structure using differential programming
• Gravitational form factors of the nucleon in the Skyrme model based on scale-invariant chiral perturbation theory
• Reflections on Noether's second theorem and the energy-momentum tensor

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