English

Bayesian inference of the fluctuating proton shape

High Energy Physics - Phenomenology 2022-08-03 v1 Nuclear Theory

Abstract

Using Bayesian inference, we determine probabilistic constraints on the parameters describing the fluctuating structure of protons at high energy. We employ the color glass condensate framework supplemented with a model for the spatial structure of the proton, along with experimental data from the ZEUS and H1 Collaborations on coherent and incoherent diffractive J/ψ\mathrm{J}/\psi production in e+p collisions at HERA. This data is found to constrain most model parameters well. This work sets the stage for future global analyses, including experimental data from e+p, p+p, and p+A collisions, to constrain the fluctuating structure of nucleons along with properties of the final state.

Keywords

Cite

@article{arxiv.2202.01998,
  title  = {Bayesian inference of the fluctuating proton shape},
  author = {Heikki Mäntysaari and Björn Schenke and Chun Shen and Wenbin Zhao},
  journal= {arXiv preprint arXiv:2202.01998},
  year   = {2022}
}

Comments

12 pages, 2 figures. 1000 parameterizations sampled from the determined posterior distributions are included in the source package

R2 v1 2026-06-24T09:19:24.944Z