Performance of heavy-flavour jet identification in boosted topologies in proton-proton collisions at $\sqrt{s} = 13~\mathrm{TeV}$

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 $\sqrt{s} = 13~\mathrm{TeV}$. 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.