Aram Hayrapetyan, A. Tumasyan, Wolfgang Adam, Janik Walter Andrejkovic, L. Benato, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, Priya Sajid Hussain, M. Jeitler, Natascha Krammer, Ang Li, Dietrich Liko, Ivan Mikulec, J. Schieck, R. Schöfbeck, Dennis Schwarz, M. Sonawane, W. Waltenberger, Claudia-Elisabeth Wulz, X. Janssen, T. Van Laer, Pierre van Mechelen, Nordin Breugelmans, Jorgen d'Hondt, Soumya Dansana, A. De Moor, M. Delcourt, Felix Heyen, S. Lowette, I. Makarenko, Denise Müller, Stefaan Tavernier, M. Tytgat, G. P. Van Onsem, S. Van Putte, D. Vannerom, B. Bilin, B. Clerbaux, Aloke Kumar Das, I. De Bruyn, G. De Lentdecker, Hugues Evard, Laurent Favart, P. Gianneios, J. Jaramillo, Ali Khalilzadeh, Fakhri Alam Khan, K. Lee, A. Malara, S. Paredes, Muhammad Aamir Shahzad, Laurent Thomas, M. Vanden Bemden, Catherine Vander Velde, P. Vanlaer, M. De Coen, D. Dobur, G. Gökbulut, Yanwen Hong, J. Knolle, Luka Lambrecht, David Marckx, K. Mota Amarilo, K. Skovpen, N. Van Den Bossche, Jan van der Linden, Liam Wezenbeek, A. Benecke, A. Bethani, Giacomo Bruno, C. Caputo, J. De Favereau De Jeneret, C. Delaere, I. S. Donertas, A. Giammanco, Ahmet Oguz Guzel, Sa. Jain, Vincent Lemaître, J. Lidrych, Paola Mastrapasqua, Tu Thong Tran, G.A. Alves, E. Coelho, Gilson Correia Silva, C. Hensel, T. Menezes De Oliveira, C. Mora Herrera, P. Rebello Teles, Mariana Soeiro, E. J. Tonelli Manganote, A. Vilela Pereira, W. L. Aldá Júnior, M. Barroso Ferreira Filho, H. Brandao Malbouisson, Wagner Carvalho, Jose Chinellato, E. M. Da Costa, G. G. Da Silveira
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.