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dc.contributor.authorMäntysaari, Heikki
dc.contributor.authorSchenke, Björn
dc.contributor.authorShen, Chun
dc.contributor.authorZhao, Wenbin
dc.date.accessioned2022-08-17T07:17:55Z
dc.date.available2022-08-17T07:17:55Z
dc.date.issued2022
dc.identifier.citationMäntysaari, H., Schenke, B., Shen, C., & Zhao, W. (2022). Bayesian inference of the fluctuating proton shape. <i>Physics Letters B</i>, <i>833</i>, Article 137348. <a href="https://doi.org/10.1016/j.physletb.2022.137348" target="_blank">https://doi.org/10.1016/j.physletb.2022.137348</a>
dc.identifier.otherCONVID_150997964
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/82616
dc.description.abstractUsing 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesPhysics Letters B
dc.rightsCC BY 4.0
dc.titleBayesian inference of the fluctuating proton shape
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202208174160
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0370-2693
dc.relation.volume833
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 The Author(s). Published by Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber338263
dc.relation.grantnumber835105
dc.relation.grantnumber835105
dc.relation.grantnumber346567
dc.relation.grantnumber824093
dc.relation.grantnumber824093
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/835105/EU//YoctoLHC
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/824093/EU//STRONG-2020
dc.subject.ysoenergia
dc.subject.ysoprotonit
dc.subject.ysofysiikka
dc.subject.ysobayesilainen menetelmä
dc.subject.ysonukleonit
dc.subject.ysorakenne (ominaisuudet)
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p1310
jyx.subject.urihttp://www.yso.fi/onto/yso/p12428
jyx.subject.urihttp://www.yso.fi/onto/yso/p900
jyx.subject.urihttp://www.yso.fi/onto/yso/p17803
jyx.subject.urihttp://www.yso.fi/onto/yso/p12429
jyx.subject.urihttp://www.yso.fi/onto/yso/p7302
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.physletb.2022.137348
dc.relation.funderResearch Council of Finlanden
dc.relation.funderEuropean Commissionen
dc.relation.funderResearch Council of Finlanden
dc.relation.funderEuropean Commissionen
dc.relation.funderSuomen Akatemiafi
dc.relation.funderEuroopan komissiofi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderEuroopan komissiofi
jyx.fundingprogramAcademy Research Fellow, AoFen
jyx.fundingprogramERC Advanced Granten
jyx.fundingprogramResearch costs of Academy Research Fellow, AoFen
jyx.fundingprogramRIA Research and Innovation Action, H2020en
jyx.fundingprogramAkatemiatutkija, SAfi
jyx.fundingprogramERC Advanced Grantfi
jyx.fundingprogramAkatemiatutkijan tutkimuskulut, SAfi
jyx.fundingprogramRIA Research and Innovation Action, H2020fi
jyx.fundinginformationB.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.
dc.type.okmA1


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