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T: Fachverband Teilchenphysik

T 30: Higgs decay in fermions II

T 30.5: Vortrag

Dienstag, 16. März 2021, 17:00–17:15, Te

H→ bb Tagger Calibration in Z→ bb+jet events — •Shubham Bansal, Jochen Dingfelder, and Tatjana Lenz — Physikalisches Institut, Universität Bonn

Within the ATLAS collaboration, the most recent algorithm to separate boosted H→ bb decays from dominant backgrounds like multijets and jets originating from hadronically decaying top-quarks, employs an algorithm based on a feed-forward neural network. In boosted H→ bb decays, the b-quark fragmentation products are reconstructed using a large-R (R = 1.0) jet containing variable-radius subjets. The neural network algorithm combines flavor discriminants from up to three subjets inside the large-R jet and discriminates boosted Higgs from the dominant backgrounds. Since these algorithms are optimized and evaluated in simulation only, they need to be calibrated in data in an environment with b-jets that are close to each other. This talk presents the developments of the H→ bb tagger calibration in Z→ bb+jet events with the ATLAS experiment.