Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at √(; s; ) = 13 TeV
Journal Article
Overview
abstract
Abstract; ; Measurements in the highly Lorentz-boosted regime provoke; increased interest in probing the Higgs boson properties and in; searching for particles beyond the standard model at the LHC. In; the CMS Collaboration, various boosted-object tagging algorithms,; designed to identify hadronic jets originating from a massive; particle decaying to bb̅ or; cc̅, have been developed; and deployed across a range of physics analyses. This paper; highlights their performance on simulated events, and summarizes; novel calibration techniques using proton-proton collision data; collected at √(; s; ) = 13 TeV during the 2016–2018 LHC; data-taking period. Three dedicated methods are used for the; calibration in multijet events, leveraging either machine learning; techniques, the presence of muons within energetic boosted jets, or; the reconstruction of hadronically decaying high-energy; Z bosons. The calibration results, obtained; through a combination of these approaches, are presented and; discussed.;
