Karlsruhe 2024 – scientific programme
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T: Fachverband Teilchenphysik
T 71: Higgs 3 (coupling to b and c quarks)
T 71.6: Talk
Wednesday, March 6, 2024, 17:15–17:30, Geb. 30.41: HS 2
PAIReD jet tagging in CMS: Testing and developing a new approach of Hcc and Hbb classification in the CMS experiment — Gaetano Barone1, Alexander Jung2, Ming-Yan Lee2, Spandan Mondal1, Uttiya Sarkar2, Alexander Schmidt2, •Jan Schulz2, and Ulrich Willemsen2 — 1Brown University, Providence, USA — 2III. Physikalisches Institut A, RWTH Aachen University, Germany
Machine learning, for example in the form of jet flavor tagging, can provide indispensable help in analyzing the rare Higgs decay into two charm quarks. In a recent tagging approach, a new unconventional type of jet is defined, the so-called PAIReD jet. It has been shown that classifiers for PAIReD jets have a higher background rejection compared to the traditional jet definitions in CMS analyses (AK4, AK8, AK15). However, so far these studies have only been carried out with CMS-independent simulations. Therefore, the testing of the approach with official CMS simulations as well as the concrete implementation in CMS are essential steps towards a more advanced physics analysis and will be presented in this talk. Furthermore, possible further developments and improvements of the originally proposed PAIReD tagger will be discussed.
Keywords: Heavy-flavor tagging; VHcc analysis; Machine Learning; CMS experiment