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T: Fachverband Teilchenphysik

T 18: Methods in Particle Physics I (Calo, Jets, Tagging)

T 18.4: Vortrag

Montag, 31. März 2025, 17:30–17:45, VG 4.101

Run 3 performance and advancement of Heavy-Flavor Jet Identification in CMS — SVENJA DIEKMANN¹, MING-YAN LEE¹, SPANDAN MONDAL², •UTTIYA SARKAR¹, ALEXANDAR SCHMIDT¹, and SEBASTIAN WUCHTERL³ — ¹III. Physikalisches Institut A, RWTH Aachen University, Germany — ²Brown University, Providence, USA — ³European Organization for Nuclear Research (CERN), Geneva, Switzerland

The identification of heavy-flavor jets is essential for many high-energy physics analyses, including studies of the top quark, Higgs boson, and new physics searches. Recent advances in machine learning, including graph networks, and transformers namely UParT (Unified Particle Transformer) algorithm, have significantly improved tagging performance for heavy-flavor (b, c) and hadronic tau jets. This talk presents the latest development of flavor taggers, their deployment in the CMS High Level Trigger (HLT) system and offline performances in proton-proton collision with the Run 3 data.

Keywords: Heavy-flavor tagging; CMS Experiment