Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/8692
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dc.contributor.authorKarapınar, Güler-
dc.contributor.authorCMS Collaboration-
dc.date.accessioned2020-07-18T08:28:29Z-
dc.date.available2020-07-18T08:28:29Z-
dc.date.issued2018-
dc.identifier.issn1748-0221-
dc.identifier.urihttps://doi.org/10.1088/1748-0221/13/05/P05011-
dc.identifier.urihttps://hdl.handle.net/11147/8692-
dc.description.abstractMany measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated t (t) over bar events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The b jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV).en_US
dc.language.isoenen_US
dc.publisherIOP Publishing Ltd.en_US
dc.relation.ispartofJournal of Instrumentationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectParticle identification methodsen_US
dc.subjectPattern recognition, cluster finding, calibration and fitting methodsen_US
dc.subjectPerformance of High Energy Physics Detectorsen_US
dc.titleIdentification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeVen_US
dc.typeArticleen_US
dc.institutionauthorKarapınar, Güler-
dc.departmentİzmir Institute of Technology. Mathematicsen_US
dc.identifier.volume13en_US
dc.identifier.wosWOS:000431716900005en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1088/1748-0221/13/05/P05011-
dc.relation.doi10.1088/1748-0221/13/05/P05011en_US
dc.coverage.doi10.1088/1748-0221/13/05/P05011en_US
dc.identifier.wosqualityQ3-
dc.identifier.scopusqualityQ1-
dc.identifier.wosqualityttpTop10%en_US
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept01. Izmir Institute of Technology-
Appears in Collections:Rectorate / Rektörlük
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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