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T: Fachverband Teilchenphysik

T 10: Top quarks: pair production and tagging

T 10.6: Vortrag

Montag, 30. März 2020, 17:45–18:00, H-HS XI

Performance studies of the Heavy Object Tagger with Variable R (HOTVR) — •Anna Albrecht, Ksenia de Leo, Johannes Haller, Roman Kogler, and Christopher Matthies — 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 at the LHC. The central feature of the HOTVR algorithm is a variable distance parameter R that decreases with increasing transverse momentum p_T of the jet. It combines jet clustering, subjet finding and rejection of soft radiation. In its original version, soft and wide-angle radiation is rejected by a mass jump criterion. This study presents first results using the soft drop algorithm instead, comparing the performance between both grooming options.