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Bayesian Inferring Nucleon Gravitational Form Factors via Near-Threshold J/ψ Photoproduction
Yuxun Guo1,2, Feng Yuan2, Wenbin Zhao1,2
1University of California, Physics Department, Berkeley, California 94720, USA.
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.
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