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| CMS-PAS-BTV-22-001 | ||
| Performance of heavy-flavour jet identification in boosted topologies in proton-proton collisions at $ \sqrt{s} = $ 13 TeV | ||
| CMS Collaboration | ||
| 28 July 2023 | ||
| Abstract: Physics measurements in the highly Lorentz-boosted regime, including the search for the Higgs boson or beyond standard model particles, are a critical part of the LHC physics program. In the CMS Collaboration, various boosted-jet tagging algorithms, designed to identify hadronic jets originating from a massive particle decaying to $ \mathrm{b\overline{b}} $ or $ \mathrm{c\overline{c}} $, have been developed and deployed in a variety of analyses. This note highlights their performance on simulated events, and summarises the novel calibration methods of these algorithms with 2016-2018 data collected in proton-proton collisions at $ \sqrt{s} = $ 13 TeV. Three distinct control regions are studied, selected via machine learning techniques or the presence of reconstructed muons from $ \mathrm{g\to b\overline{b}} $ ($ \mathrm{c\overline{c}} $) decays, as well as regions selected from Z boson decays. The calibration results, derived through a combination of measurements in these three regions, are presented. | ||
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Links:
CDS record (PDF) ;
Physics Briefing ;
CADI line (restricted) ;
These preliminary results are superseded in this paper, Submitted to JINST. The superseded preliminary plots can be found here. |
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Compact Muon Solenoid LHC, CERN |
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