The performance of top taggers, for example in resonance searches, can be significantly enhanced through an increased set of variables, with a special focus on final-state radiation. We study the production and the decay of a heavy gauge boson in the upcoming LHC run. For constant signal efficiency, the multivariate analysis achieves an increased background rejection by up to a factor 30 compared to our previous tagger. Based on this study and the documentation in the Appendix we release a new HEPTopTagger2 for the upcoming LHC run. It now includes an optimal choice of the size of the fat jet, N-subjettiness, and different modes of Qjets.
@article{arxiv.1503.05921,
title = {Resonance Searches with an Updated Top Tagger},
author = {Gregor Kasieczka and Tilman Plehn and Torben Schell and Thomas Strebler and Gavin P. Salam},
journal= {arXiv preprint arXiv:1503.05921},
year = {2015}
}