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dc.contributor.authorAlbacete, Javier L.
dc.contributor.authorNiemi, Harri
dc.contributor.authorPetersen, Hannah
dc.contributor.authorSoto-Ontoso, Alba
dc.date.accessioned2019-02-12T13:22:28Z
dc.date.available2019-02-12T13:22:28Z
dc.date.issued2019
dc.identifier.citationAlbacete, J. L., Niemi, H., Petersen, H., & Soto-Ontoso, A. (2019). Correlated gluonic hot spots meet symmetric cumulants data at LHC energies. <i>Nuclear Physics A</i>, <i>982</i>, 463-466. <a href="https://doi.org/10.1016/j.nuclphysa.2018.08.013" target="_blank">https://doi.org/10.1016/j.nuclphysa.2018.08.013</a>
dc.identifier.otherCONVID_28883745
dc.identifier.otherTUTKAID_80444
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/62763
dc.description.abstractWe present a systematic study on the influence of spatial correlations between the proton constituents, in our case gluonic hot spots, their size and their number on the symmetric cumulant SC(2,3), at the eccentricity level, within a Monte Carlo Glauber framework [J.L. Albacete, H. Petersen, A. Soto-Ontoso, Symmetric cumulants as a probe of the proton substructure at LHC energies, Phys. Lett. B778 (2018) 128–136. arXiv:1707.05592, doi:10.1016/j.physletb.2018.01.011]. When modeling the proton as composed by 3 gluonic hot spots, the most common assumption in the literature, we find that the inclusion of spatial correlations is indispensable to reproduce the negative sign of SC(2,3) in the highest centrality bins as dictated by data. Further, the subtle interplay between the different scales of the problem is discussed. To conclude, the possibility of feeding a 2+1D viscous hydrodynamic simulation with our entropy profiles is exposed.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesNuclear Physics A
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherinitial state
dc.subject.othersmall systems
dc.subject.otherhot spots
dc.subject.othercorrelations
dc.subject.otherelliptic flow
dc.titleCorrelated gluonic hot spots meet symmetric cumulants data at LHC energies
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201901301367
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-01-30T16:15:08Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange463-466
dc.relation.issn0375-9474
dc.relation.numberinseries0
dc.relation.volume982
dc.type.versionpublishedVersion
dc.rights.copyright© 2018 Published by Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber297058
dc.subject.ysohiukkasfysiikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p15576
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.nuclphysa.2018.08.013
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundinginformationThis work was partially supported by a Helmholtz Young Investigator Group VH-NG-822 from the Helmholtz Association and GSI, a FP7-PEOPLE-2013-CIG Grant of the European Commission, reference QCDense/631558, by Ram ́on y Cajal and MINECO projects reference RYC-2011-09010 and FPA2013-47836 and by the DFG through the grant CRC-TR 211. HN is supported by the Academy of Finland, project 297058. We acknowledge the CSCIT Center for Science in Espoo, Finland, for the allocation of the computational resources.


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