Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at √(s) = 13 TeV
(2025) Journal of Instrumentation — Vol. 20 (2025)
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- Measurements in the highly Lorentz-boosted regime provokeincreased interest in probing the Higgs boson properties and insearching for particles beyond the standard model at the LHC. Inthe CMS Collaboration, various boosted-object tagging algorithms,designed to identify hadronic jets originating from a massiveparticle decaying to bb̅ orcc̅, have been developedand deployed across a range of physics analyses. This paperhighlights their performance on simulated events, and summarizesnovel calibration techniques using proton-proton collision datacollected at √(s) = 13 TeV during the 2016–2018 LHCdata-taking period. Three dedicated methods are used for thecalibration in multijet events, leveraging either machine learningtechniques, the presence of muons within energetic boosted jets, orthe reconstruction of hadronically decaying high-energyZ bosons. The calibration results, obtainedthrough a combination of these approaches, are presented anddiscussed.
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Benecke, A., Bethani, A., Bruno, G., Caputo, C., de Favereau de Jeneret, J., Delaere, C., Donertas, I. S., Giammanco, A., Guzel, A. O., Jain, S., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Tran, T. T., CMS, & et al. (2025). Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at √(s) = 13 TeV. Journal of Instrumentation, 20. https://doi.org/10.1088/1748-0221/20/11/P11006 (Original work published 2025)