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Heavy flavor jet tagging algorithm developments at CMS for HL-LHC

Pfeffer, Emanuel ORCID iD icon 1; Bloch, Daniel; Husemann, Ulrich 1; Mitra, Soureek 1; Müller, Thomas 1; Neukum, Max ORCID iD icon 1
1 Institut für Experimentelle Teilchenphysik (ETP), Karlsruher Institut für Technologie (KIT)

Abstract:

The rich physics program at the high luminosity LHC (HL-LHC) requires all final state particles to be reconstructed with good accuracy. However, it also poses formidable challenge of dealing with very high pileup. Different identification algorithms need to be upgraded along with the detectors to improve the overall event reconstruction in such a hostile collision environment. The new timing device in the proposed CMS detector at the HL-LHC allows for the construction of timing observables at the track-level as well as at the jet-level. This information when given as inputs to the deep neural networks, have a potential to improve the existing algorithms used for heavy flavor (HF) jet tagging. In this paper, the latest developments on the studies for HF jet tagging performance at the HL-LHC are presented.


Verlagsausgabe §
DOI: 10.5445/IR/1000162378
Veröffentlicht am 21.09.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 21.06.2023
Sprache Englisch
Identifikator ISSN: 1824-8039
KITopen-ID: 1000162378
Erschienen in Proceedings of The Tenth Annual Conference on Large Hadron Collider Physics — PoS(LHCP2022)
Veranstaltung 10th Annual Conference on Large Hadron Collider Physics (LHCP 2022), Online, 16.05.2022 – 20.05.2022
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Seiten Art.-Nr.: 270
Serie Pos proceedings of science ; 422
Vorab online veröffentlicht am 27.03.2023
Nachgewiesen in Dimensions
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