A1 Journal article (refereed)
Bayesian inference of the fluctuating proton shape (2022)

Mäntysaari, H., Schenke, B., Shen, C., & Zhao, W. (2022). Bayesian inference of the fluctuating proton shape. Physics Letters B, 833, Article 137348. https://doi.org/10.1016/j.physletb.2022.137348

JYU authors or editors

Publication details

All authors or editors: Mäntysaari, Heikki; Schenke, Björn; Shen, Chun; Zhao, Wenbin

Journal or series: Physics Letters B

ISSN: 0370-2693

eISSN: 1873-2445

Publication year: 2022

Volume: 833

Article number: 137348

Publisher: Elsevier BV

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1016/j.physletb.2022.137348

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/82616

Web address of parallel published publication (pre-print): https://arxiv.org/abs/2202.01998

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.

Keywords: protons; structure (properties); energy; nucleons; Bayesian analysis; physics

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Related projects

Ministry reporting: Yes

VIRTA submission year: 2022

JUFO rating: 2