2,077 research outputs found
Probing Higgs in Type III Seesaw at the LHC
We show that the type III seesaw mechanism opens up a promising possibility
of searching the Higgs boson in the channel through the Higgs
production associated with a charged lepton coming from the decay of the
triplet seesaw particle. In particular we look for the signals with
trileptons or same-sign dileptons to construct the Higgs and the triplet
fermion mass and calculate the reach with the integrated luminosity of 10
fb at the 14 TeV LHC.Comment: 4 pages and 8 figure
Infrared Safety of a Neural-Net Top Tagging Algorithm
Neural network-based algorithms provide a promising approach to jet
classification problems, such as boosted top jet tagging. To date, NN-based top
taggers demonstrated excellent performance in Monte Carlo studies. In this
paper, we construct a top-jet tagger based on a Convolutional Neural Network
(CNN), and apply it to parton-level boosted top samples, with and without an
additional gluon in the final state. We show that the jet observable defined by
the CNN obeys the canonical definition of infrared safety: it is unaffected by
the presence of the extra gluon, as long as it is soft or collinear with one of
the quarks. Our results indicate that the CNN tagger is robust with respect to
possible mis-modeling of soft and collinear final-state radiation by Monte
Carlo generators.Comment: 7 pages, 8 figures, final version to be published in JHE
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