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Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

CMS Collaboration; Sirunyan, A.M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Brondolin, E.; Dragicevic, M.; Erö, J.; Valle, A. Escalante Del; Flechl, M.; Friedl, M.; Frühwirth, R.; Ghete, V.M.; Grossmann, J.; Hrubec, J.; Jeitler, M.; König, A.; Krammer, N.; ... mehr

Abstract:
Many 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. ... mehr

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Originalveröffentlichung
DOI: 10.1088/1748-0221/13/05/P05011
Scopus
Zitationen: 191
Web of Science
Zitationen: 188
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 1748-0221
KITopen-ID: 1000127308
Erschienen in Journal of Instrumentation
Verlag IOP Publishing
Band 13
Heft 05
Seiten Art.-Nr.: P05011
Vorab online veröffentlicht am 08.05.2018
Nachgewiesen in Scopus
Web of Science
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