  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.
