Constituent-Based Top-Quark Tagging with the ATLAS Detector

This note presents the performance of constituent-based jet taggers on large radius boosted top quark jets reconstructed from optimized jet input objects in simulated collisions at $\sqrt{𝑠}$ = 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.