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

Abstract

2018 JINST 13 P05011 8.5 Measurement of the data-to-simulation scale factors as a function of the discriminator value 76 8.6 Comparison of the measured data-to-simulation scale factors 79 9 Measurement of the tagging efficiency for boosted topologies 82 9.1 Comparison of data with simulation 82 9.2 Efficiency for subjets 83 9.2.1 Misidentification probability 83 9.2.2 Measurement of the b tagging efficiency 84 9.3 Efficiency of the double-b tagger 86 9.3.1 Measurement of the double-b tagging efficiency 86 9.3.2 Measurement of the misidentification probability for top quarks 87

Measurement of differential cross sections for the production of top quark pairs and of additional jets in lepton+jets events from pp collisions at Sirunyan1, Tumasyan2, Adam3 et al. 2018Phys. Rev. DSelf Cite

“…For the identification of b jets, the combined secondary vertex algorithm [48] is used. It provides a discriminant between b and non-b jets based on the combined information of secondary vertices and the impact parameter of tracks at the primary vertex.…”

From the bottom to the top—reconstruction oftt̄ events with deep learning

“…Examples include the identification of jets from the hadronisation of b-quarks and c-quarks [12,13], the identification of high-momentum hadronically decaying top quarks [14,15] and W, Z and Higgs bosons [14,16], the classification of jets from the hadronisation of quarks and gluons [17,18], and global particle identification [19].…”

Boosted top quark polarization

“…Recently, techniques are developed to tag b-subjets inside boosted tagged top jets. The tagging efficiency is found to be around ∼ 50 − 70% depending on background rejection [39,40]. For left handed top quark, the b-jet carries most of the energy of the top jet, whereas for the right handed case, it carries relatively less energy.…”