Bayesian inference of the fluctuating proton shape

Feb 4, 2022
12 pages
Published in:
  • Phys.Lett.B 833 (2022) 137348,
  • Phys.Lett.B 833 (2022) 137348
  • Published: Oct 10, 2022
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Abstract: (Elsevier B.V.)
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 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.
Note:
  • 12 pages, 2 figures. 1000 parameterizations sampled from the determined posterior distributions are included in the source package
  • energy: high
  • nucleon: structure
  • p: fluctuation
  • Bayesian
  • statistical analysis
  • ZEUS
  • H1
  • coherence
  • diffraction
  • J/psi(3100): photoproduction