Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at √(s) = 13 TeV

(CMS Collaboration) Hayrapetyan, Aram ; ... ; Giljanović, Duje ; Godinović, Nikola ; Lelas, Damir ; Šćulac, Ana ; Kovač, Marko ; Petković, Andro ; Šćulac, Toni ; Bargassa, Pedrame ; Brigljević, Vuko ; Chitroda, Bhakti Kanulal ; Ferenček, Dinko ; Jakovčić, Krešimir ; Starodumov, Andrey ; Šuša, Tatjana ; ... ; Mishra, Saswat ; ... ; Roguljić, Matej ; ... ; Druzhkin, Dmitry (2025) Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at √(s) = 13 TeV. Journal of Instrumentation, 20 (11). ISSN 1748-0221

	PDF - Published Version - article Available under License Creative Commons Attribution. Download (4MB)
	PDF - Submitted Version - article Available under License Creative Commons Attribution. Download (4MB)

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.

Item Type:	Article
Uncontrolled Keywords:	High energy physics ; Experimental particle physics ; LHC ; CMS ; Pattern recognition, cluster finding, calibration and fitting methods ; Performance of High Energy Physics Detectors
Subjects:	NATURAL SCIENCES > Physics NATURAL SCIENCES > Physics > Physics of Elementary Particles and Fields
Divisions:	Centre for detectors, sensors and electronics Division of Experimental Physics
Depositing User:	Martina Žugaj
Date Deposited:	22 Jan 2026 11:35
URI:	http://fulir.irb.hr/id/eprint/11053
DOI:	10.1088/1748-0221/20/11/P11006

Actions (login required)

View Item