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Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeVSirunyan, A.M.Tumasyan, A.Adam, W.Ambrogi, F.Asilar, E.Bergauer, T.Brandstetter, J.Brondolin, E.Dragicevic, M.Erö, J.Escalante Del Valle, A.Flechl, M.Friedl, M.Frühwirth, R.Ghete, V.M.Grossmann, J.Hrubec, J.Jeitler, M.König, A.Krammer, N.Krätschmer, I.Liko, D.Madlener, T.Mikulec, I.Pree, E.Rad, N.Rohringer, H.Schieck, J.Schöfbeck, R.Spanring, M.Spitzbart, D.Waltenberger, W.Wittmann, J.Wulz, C.-E.Zarucki, M.Chekhovsky, V.Mossolov, V.Suarez Gonzalez, J.De Wolf, E.A.Di Croce, D.Janssen, X.Lauwers, J.Van De Klundert, M.Van Haevermaet, H.Van Mechelen, P.Van Remortel, N.Abu Zeid, S.Blekman, F.D’Hondt, J.De Bruyn, I.Particle identification methodsPattern recognition, cluster finding, calibration and fitting methodsPerformance of High Energy Physics DetectorsElementary particlesGermanium compoundsProbabilityTellurium compoundsCalibration methodCenter-of-mass energiesCentre-of-mass energiesFitting methodHeavy flavoursHigh energy physics detectorParticle Identification MethodPattern recognition, cluster finding, calibration and fitting methodPerformancePerformance of high energy physic detectorPattern recognitionMany 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). © 2018 CERN for the benefit of the CMS collaboration.Institute of Physics2018Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/14326https://doi.org/10.1088/1748-0221/13/05/p050111748-0221enJournal of Instrumentationinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/14326