Speaker
Kevin Thomas Greif
(University of California Irvine (US))
Description
This talk will present the performance of constituent-based jet taggers on large radius boosted top quark jets reconstructed from optimized jet input objects in simulated collisions at s√=13 TeV. Several taggers which consider all the information contained in the kinematic information of the jet constituents are tested, and compared to a tagger which relies on high-level summary quantities similar to the taggers used by ATLAS in Runs 1 and 2. Several constituent based taggers are found to out-perform the high level quantity based tagger, with the best achieving a factor of two increase in background rejection across the kinematic range. To enable further development and study, the data set described in this note is made publicly available.
Author
Kevin Thomas Greif
(University of California Irvine (US))
