@misc{10481/57322,
year = {2019},
month = {4},
url = {http://hdl.handle.net/10481/57322},
abstract = {The performance of identification algorithms
(“taggers”) for hadronically decaying top quarks and W
bosons in pp collisions at
√
s = 13 TeV recorded by the
ATLAS experiment at the Large Hadron Collider is presented.
Aset of techniques based on jet shape observables are
studied to determine a set of optimal cut-based taggers for use
in physics analyses. The studies are extended to assess the
utility of combinations of substructure observables as a multivariate
tagger using boosted decision trees or deep neural
networks in comparison with taggers based on two-variable
combinations. In addition, for highly boosted top-quark tagging,
a deep neural network based on jet constituent inputs
as well as a re-optimisation of the shower deconstruction
technique is presented. The performance of these taggers is
studied in data collected during 2015 and 2016 corresponding
to 36.1 fb−1 for the t ¯t and γ + jet and 36.7 fb−1 for the
dijet event topologies.},
organization = {We acknowledge
the support of ANPCyT, Argentina; YerPhI, Armenia; ARC,
Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC,
Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada;
CERN; CONICYT, Chile; CAS,MOST and NSFC, China; COLCIENCIAS,
Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic;
DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU,
France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT,
Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center,
Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO,
Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal;
MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation;
JINR;MESTD, Serbia; MSSR, Slovakia; ARRS andMIZŠ, Slovenia;
DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg
Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva,
Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom;
DOE and NSF, United States of America. In addition, individual groups
and members have received support from BCKDF, CANARIE, CRC
and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and
Marie Skłodowska-Curie Actions, European Union; Investissements d’
Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany;
Herakleitos,Thales and Aristeia programmes co-financed by EUESF
and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA
Programme Generalitat de Catalunya, Spain; The Royal Society and
Leverhulme Trust, United Kingdom. The crucial computing support
from allWLCG partners is acknowledged gratefully, in particular from
CERN, theATLAS Tier-1 facilities at TRIUMF (Canada),NDGF(Denmark,
Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany),
INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan),
RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and
large non-WLCG resource providers.},
publisher = {EUROPEAN PHYSICAL JOURNAL C},
keywords = {Top-quark},
keywords = {Boson},
title = {Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC},
doi = {10.1140/epjc/s10052-019-6847-8},
author = {Aaboud, M. and Aguilar Saavedra, Juan Antonio and Atlas Collaboration},
}