Higgs boson tagging with the Lund jet plane

We construct a procedure to separate boosted Higgs bosons decaying into hadrons, from the background due strong interactions. employ Lund jet plane obtain theoretically well-motivated representation of jets interest and we use resulting images as input convolutional neural network classifier. In particular, consider two different decay modes boson, namely pair bottom quarks or light jets, against respective backgrounds. For each case, both moderate- high- boost scenario. The performance tagger is compared what achieved using traditional single-variable analysis which exploits QCD inspired color-singlet tagger, color ring observable.