Bayesian inference of the fluctuating proton shape
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
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Physics Letters BDate
2022Copyright
© 2022 The Author(s). Published by 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.
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Elsevier BVISSN Search the Publication Forum
0370-2693Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/150997964
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Related funder(s)
Research Council of Finland; European CommissionFunding program(s)
Academy Research Fellow, AoF; ERC Advanced Grant; Research costs of Academy Research Fellow, AoF; RIA Research and Innovation Action, H2020
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
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. ...License
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