@misc{10481/57892,
year = {2017},
month = {11},
url = {http://hdl.handle.net/10481/57892},
abstract = {New particles beyond the Standard Model might be produced with a very high
boost, for instance if they result from the decay of a heavier particle. If the former decay
hadronically, then their signature is a single massive fat jet which is di cult to separate
from QCD backgrounds. Jet substructure and machine learning techniques allow for the
discrimination of many speci c boosted objects from QCD, but the scope of possibilities is
very large, and a suite of dedicated taggers may not be able to cover every possibility | in
addition to making experimental searches cumbersome. In this paper we describe a generic
model-independent tagger that is able to discriminate a wide variety of hadronic boosted
objects from QCD jets using N-subjettiness variables, with a signi cance improvement
varying between 2 and 8. This is in addition to any improvement that might come from a
cut on jet mass. Such a tagger can be used in model-independent searches for new physics
yielding fat jets. We also show how such a tagger can be applied to signatures over a wide
range of jet masses without sculpting the background distributions, allowing to search for
new physics as bumps on jet mass distributions.},
organization = {The work of JAAS is supported by MINECO Projects FPA 2016-78220-C3-1-P and FPA
2013-47836-C3-2-P (including ERDF), and by Junta de Andalucía Project FQM-101. The
work of JHC and RKM is supported by NSF under Grant No. PHY-1620074 and by the
Maryland Center for Fundamental Physics (MCFP).},
publisher = {Springer Nature},
keywords = {Jets},
title = {A generic anti-QCD jet tagger},
doi = {10.1007/JHEP11(2017)163},
author = {Aguilar Saavedra, Juan Antonio and Collins, Jack and Mishra, Rashmish},
}