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dc.contributor.authorParkkila, J. E.
dc.contributor.authorOnnerstad, A.
dc.contributor.authorTaghavi, S. F.
dc.contributor.authorMordasini, C.
dc.contributor.authorBilandzic, A.
dc.contributor.authorVirta, M.
dc.contributor.authorKim, D. J.
dc.date.accessioned2022-10-31T09:19:21Z
dc.date.available2022-10-31T09:19:21Z
dc.date.issued2022
dc.identifier.citationParkkila, J. E., Onnerstad, A., Taghavi, S. F., Mordasini, C., Bilandzic, A., Virta, M., & Kim, D. J. (2022). New constraints for QCD matter from improved Bayesian parameter estimation in heavy-ion collisions at LHC. <i>Physics Letters B</i>, <i>835</i>, Article 137485. <a href="https://doi.org/10.1016/j.physletb.2022.137485" target="_blank">https://doi.org/10.1016/j.physletb.2022.137485</a>
dc.identifier.otherCONVID_159016098
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/83726
dc.description.abstractThe transport properties of quark-gluon plasma created in relativistic heavy-ion collisions are quantified by an improved global Bayesian analysis using the CERN Large Hadron Collider Pb–Pb data at sNN=2.76 and 5.02 TeV. The results show that the uncertainty of the extracted transport coefficients is significantly reduced by including new sophisticated collective flow observables from two collision energies for the first time. This work reveals the stronger temperature dependence of specific shear viscosity, a lower value of specific bulk viscosity, and a higher hadronization switching temperature than in the previous studies. The sensitivity analysis confirms that the precision measurements of higher-order harmonic flow and their correlations are crucial in extracting accurate values of the transport properties.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesPhysics Letters B
dc.rightsCC BY 4.0
dc.titleNew constraints for QCD matter from improved Bayesian parameter estimation in heavy-ion collisions at LHC
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202210315033
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.volume835
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 The Author(s). Published by Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.relation.grantnumber346324
dc.subject.ysohiukkasfysiikka
dc.subject.ysokvanttiväridynamiikka
dc.subject.ysokvarkki-gluoniplasma
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p15576
jyx.subject.urihttp://www.yso.fi/onto/yso/p39318
jyx.subject.urihttp://www.yso.fi/onto/yso/p38826
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.physletb.2022.137485
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramCentre of Excellence, AoFen
jyx.fundingprogramHuippuyksikkörahoitus, SAfi
jyx.fundinginformationWe acknowledge CSC – IT Center for Science in Espoo, Finland, for the allocation of the computational resources. This research was completed using ∼64 million CPU hours provided by CSC. Three of us (SFT,CM, and AB) have received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation program (Grant Agreement No. 759257). AO, CM, MV and DJK are supported by the Academy of Finland, the Centre of Excellence in Quark Matter (project 346324).
dc.type.okmA1


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