Karlsruhe 2024 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 84: Methods in particle physics 5 (tagging)

T 84.2: Vortrag

Donnerstag, 7. März 2024, 16:15–16:30, Geb. 20.30: 2.066

Recent results in Heavy-Flavor Jet Tagging algorithms in the CMS Experiment — Alexander Jung, Ming-Yan Lee, Andrey Pozdnyakov, •Uttiya Sarkar, Alexander Schmidt, Jan Schulz, and Ulrich Willemsen — III. Physikalisches Institut A, RWTH Aachen University

Identification of heavy-flavor jets plays an important role in many physics data analyses in the CMS Experiment. The method is implemented in the CMS physics reconstruction chain and relies primarily on charged particle tracks and secondary vertices within the jets. There has been a continuous evolution of heavy-flavor tagging algorithms, with each new algorithm consistently outperforming its predecessor. This presentation gives an overview of jet flavor tagging in CMS and discusses the comparison between data and simulation for various input variables, tagging discriminants, and other relevant kinematic observables. These comparisons are made across different phase space regions that are enriched in b, c, and light (udsg) quark jets, respectively. Studies are performed using the proton-proton collision data recorded by the CMS detector during the early part of the LHC Run 3.

Keywords: b-tagging; jets; CMS