Litcius/Paper detail

Bayesian Inferring Nucleon Gravitational Form Factors via Near-Threshold <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>J</mml:mi> <mml:mo>/</mml:mo> <mml:mi>ψ</mml:mi> </mml:mrow> </mml:math> Photoproduction

Yuxun Guo, Feng Yuan, W. Zhao

2025Physical Review Letters11 citationsDOIOpen Access PDF

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.

Topics & Concepts

PhysicsPartonNucleonBayesian probabilityParticle physicsLattice (music)GravitationProtonOrder (exchange)Distribution (mathematics)Nuclear physicsScatteringStatistical physicsBayesian inferenceProduction (economics)Gravitational waveBayesian statisticsLattice field theoryProbabilistic logicHERADistribution functionQuantum Chromodynamics and Particle InteractionsParticle physics theoretical and experimental studiesHigh-Energy Particle Collisions Research