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dc.contributor.authorAbercrombie, Daniel Robert
dc.contributor.authorAllen, Brandon Leigh
dc.contributor.authorAzzolini, Virginia
dc.contributor.authorBarbieri, Richard Alexander
dc.contributor.authorBaty, Austin Alan
dc.contributor.authorBi, Ran
dc.contributor.authorBrandt, Stephanie Akemi
dc.contributor.authorBusza, Wit
dc.contributor.authorCali, Ivan Amos
dc.contributor.authorD'Alfonso, Mariarosaria
dc.contributor.authorDemiragli, Zeynep
dc.contributor.authorGomez-Ceballos, Guillelmo
dc.contributor.authorGoncharov, Maxim
dc.contributor.authorHsu, Dylan George
dc.contributor.authorHu, Miao
dc.contributor.authorIiyama, Yutaro
dc.contributor.authorInnocenti, Gian Michele
dc.contributor.authorKlute, Markus
dc.contributor.authorKovalskyi, Dmytro
dc.contributor.authorLee, Y.-J.
dc.contributor.authorLevin, A.
dc.contributor.authorLuckey Jr, P David
dc.contributor.authorMaier, Benedikt
dc.contributor.authorMarini, Andrea Carlo
dc.contributor.authorMcGinn, Christopher Francis
dc.contributor.authorMironov, Camelia Maria
dc.contributor.authorNarayanan, S.
dc.contributor.authorNiu, Xinmei
dc.contributor.authorPaus, Christoph M. E.
dc.contributor.authorRoland, Christof E
dc.contributor.authorRoland, Gunther M
dc.contributor.authorSalfeld-Nebgen, Jakob Maxillian Henry
dc.contributor.authorStephans, George S. F.
dc.contributor.authorTatar, Kaya
dc.contributor.authorVelicanu, Dragos Alexandru
dc.contributor.authorWang, J.
dc.contributor.authorWang, T. W.
dc.contributor.authorWyslouch, Boleslaw
dc.contributor.authorCMS Collaboration
dc.date.accessioned2019-07-18T21:36:58Z
dc.date.available2019-07-18T21:36:58Z
dc.date.issued2018-05
dc.date.submitted2017-12
dc.identifier.issn1748-0221
dc.identifier.urihttps://hdl.handle.net/1721.1/121842
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 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.isoen
dc.publisherIOP Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1088/1748-0221/13/05/P05011en_US
dc.rightsCreative Commons Attribution 3.0 unported licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.sourceIOP Publishingen_US
dc.titleIdentification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeVen_US
dc.typeArticleen_US
dc.identifier.citationSirunyan, A.M. et al. "Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV." Journal of Instrumentation 13 (May 2018): P05011 © 2018 CERN for the benefit of the CMS collaborationen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Nuclear Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.relation.journalJournal of Instrumentationen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-06-04T13:10:33Z
dspace.date.submission2019-06-04T13:10:34Z
mit.journal.volume13en_US


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