Dortmund 2021 – scientific programme

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T: Fachverband Teilchenphysik

T 52: Top quark decay and top properties II

T 52.2: Talk

Wednesday, March 17, 2021, 16:15–16:30, Tb

Improving the Heavy Object Tagger with Variable R with soft-drop grooming — •Anna Albrecht, Johannes Haller, Roman Kogler, Christopher Matthies, and Matthias Schröder — Institut für Experimentalphysik, Universität Hamburg

The Heavy Object Tagger with Variable R (HOTVR) is an algorithm for the clustering and identification of boosted, hadronically decaying, heavy particles in high energy particle collisions. The central feature of the HOTVR algorithm is a variable distance parameter R that decreases with increasing transverse momentum p_T of the jet.

In this study, the original mass-jump grooming of HOTVR is replaced by the soft-drop criterion, that results in a jet grooming with a rejection criterion based on a single proximity scale. Subjets are defined through a mass criterion, such that the algorithm can perform clustering, grooming and subjet finding in a single sequence. As a result, the top tagging performance is improved in comparison to the original tagger.