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 t̄ 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).

Highlights

  • 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

  • A variety of discriminating variables and algorithms used by the CMS experiment for the identification of heavy-flavour jets in proton-proton collisions at 13 TeV have been reviewed

  • Detailed simulation studies have allowed the reoptimization of existing b tagging algorithms and, in addition, new algorithms have been developed for the first time to identify c jets, as well as bb jets in events with boosted topologies

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Summary

The CMS detector

The central feature of the CMS apparatus is a superconducting solenoid of 6 m internal diameter and a magnetic field of 3.8 T. The global event reconstruction, called particle-flow (PF) event reconstruction [5], consists of reconstructing and identifying each individual particle with an optimized combination of all subdetector information In this process, the identification of the particle type (photon, electron, muon, charged hadron, neutral hadron) plays an important role in the determination of the particle direction and energy. Combinations of charged-particle tracks reconstructed in the tracker and multiple ECAL energy clusters corresponding to both the passage of the electron through the ECAL plus any associated bremsstrahlung photons. The energy of electrons is determined from a combination of the track momentum at the main interaction vertex, the corresponding ECAL cluster energies, and the energies of all bremsstrahlung photons associated with the track. A more detailed description of the CMS detector, together with a definition of the coordinate system used and the relevant kinematic variables, can be found in Ref. [12]

Data and simulated samples
Properties of heavy-flavour jets
Track selection and variables
Secondary vertex reconstruction and variables
Soft-lepton variables
The b jet identification
Jet probability taggers
Combined secondary vertex taggers
Simulation
Soft-lepton and combined taggers
Performance in simulation
The c jet identification
Algorithm description
Simulation b jets
Boosted b jet identification with the CSVv2 algorithm
Boosted b jet identification with the CSVv2 algorithm τ axis τ axis
The double-b tagger
Performance of b jet identification at the trigger level
Measurement of the tagging efficiency using data
Comparison of data with simulation
The misidentification probability
The c jet identification efficiency
Measurement relying on the single-lepton tt events
Combination of the measured c tagging efficiencies
The b jet identification efficiency
Measurements relying on a muon-enriched topology
Measurements relying on the dilepton tt topology
Tag-and-probe technique using single-lepton tt events
Comparison of the measured data-to-simulation scale factors
Measurement of the tagging efficiency for boosted topologies
Misidentification probability
Measurement of the b tagging efficiency
Measurement of the double-b tagging efficiency
Measurement of the misidentification probability for top quarks
10 Summary
A Parameterization of the efficiency
B The CMS Collaboration
Full Text
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