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
e-Print:
- 2202.01998 [hep-ph]
DOI:
- 10.1016/j.physletb.2022.137348 (publication)
View in:
Citations per year
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 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
References(76)
Figures(2)
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