Bayesian inference of the fluctuating proton shape

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 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.
Main Authors
Format
Articles Research article
Published
2022
Series
Subjects
Publication in research information system
Publisher
Elsevier BV
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202208174160Use this for linking
Review status
Peer reviewed
ISSN
0370-2693
DOI
https://doi.org/10.1016/j.physletb.2022.137348
Language
English
Published in
Physics Letters B
Citation
License
CC BY 4.0Open Access
Funder(s)
Research Council of Finland
European Commission
Research Council of Finland
European Commission
Funding program(s)
Academy Research Fellow, AoF
ERC Advanced Grant
Research costs of Academy Research Fellow, AoF
RIA Research and Innovation Action, H2020
Akatemiatutkija, SA
ERC Advanced Grant
Akatemiatutkijan tutkimuskulut, SA
RIA Research and Innovation Action, H2020
Research Council of FinlandEuropean CommissionEuropean research council
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
Additional information about funding
B.P.S. and C.S. are supported by the U.S. Department of Energy Office of Science, Office of Nuclear Physics, under DOE Contract No. DE-SC0012704 and Award No. DE-SC0021969, respectively. C.S. acknowledges a DOE Office of Science Early Career Award. H.M. is supported by the Academy of Finland, the Centre of Excellence in Quark Matter, and projects 338263 and 346567, and under the European Union's Horizon 2020 research and innovation programme by the European Research Council (ERC, grant agreement No. ERC-2018-ADG-835105 YoctoLHC) and by the STRONG-2020 project (grant agreement No. 824093). W.B.Z. is supported by the National Science Foundation (NSF) under grant numbers ACI-2004571 within the framework of the XSCAPE project of the JETSCAPE collaboration. The content of this article does not reflect the official opinion of the European Union and responsibility for the information and views expressed therein lies entirely with the authors. This research was done using resources provided by the Open Science Grid (OSG) [75], [76], which is supported by the National Science Foundation award #2030508.
Copyright© 2022 The Author(s). Published by Elsevier B.V.

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