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dc.contributor.authorHelenius, Ilkka
dc.contributor.authorPaukkunen, Hannu
dc.date.accessioned2018-06-18T09:01:59Z
dc.date.available2018-06-18T09:01:59Z
dc.date.issued2018
dc.identifier.citationHelenius, I., & Paukkunen, H. (2018). Revisiting the D-meson hadroproduction in general-mass variable flavour number scheme. <i>Journal of High Energy Physics</i>, <i>2018</i>(5), Article 196. <a href="https://doi.org/10.1007/jhep05(2018)196" target="_blank">https://doi.org/10.1007/jhep05(2018)196</a>
dc.identifier.otherCONVID_28077910
dc.identifier.otherTUTKAID_77771
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/58607
dc.description.abstractWe introduce a novel realization of the open heavy-flavour hadroproduction in general-mass variable flavour number scheme at next-to-leading order in perturbative QCD. The principal novelty with respect to the earlier works is in the treatment of small-transverse-momentum limit, which has been a particularly challenging kinematic region in the past. We show that by a suitable choice of scheme, it is possible to obtain a well-behaved description of the open heavy-flavour hadroproduction cross sections from zero up to asymptotically high transverse momentum. We contrast our calculation with the available D0-meson data as measured by the LHCb and ALICE collaborations at the LHC, finding a very good agreement within the theoretical and experimental uncertainties. We also compare our framework with other theoretical approaches.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesJournal of High Energy Physics
dc.rightsCC BY 4.0
dc.subject.otherQCD phenomenology
dc.titleRevisiting the D-meson hadroproduction in general-mass variable flavour number scheme
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201806042990
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2018-06-04T06:15:20Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1126-6708
dc.relation.numberinseries5
dc.relation.volume2018
dc.type.versionpublishedVersion
dc.rights.copyright© The Authors 2018
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber297058
dc.relation.grantnumber308301
dc.format.contentfulltext
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/jhep05(2018)196
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramAkatemiatutkija, SAfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramAcademy Research Fellow, AoFen
jyx.fundinginformationThis research was supported by the Academy of Finland, Projects 297058 and 308301, as well as by the Carl Zeiss Foundation. The Finnish IT Center for Science (CSC) is acknowledged for super-computing time under the Project jyy2580. In addition, the authors acknowledge support by the state of Baden-W¨urttemberg through bwHPC, and thank Kari J. Eskola for discussions in the early stages of this work. The authors also wish to thank the JHEP Referee for comments and suggestions which have helped us to improve the paper.
dc.type.okmA1


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