Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
Volume
79
Publisher
DOI
10.1140/epjc/s10052-019-6847-8
Journal
EUROPEAN PHYSICAL JOURNAL C
Issue
ISSN
1434-6044
Metadata
Show full item recordAbstract
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W bosons in pp collisions at 𝑠√
s
= 13 TeV recorded by the ATLAS experiment at the Large Hadron Collider is presented. A set 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
−
1
for the 𝑡𝑡¯
t
t
¯
and 𝛾+jet
γ
+
jet
and 36.7 fb−1
−
1
for the dijet event topologies.
Authors
Aaboud, M; Aad, G; Abbott, B; Abdinov, O; Abeloos, B; Abhayasinghe, DK; Abidi, SH; AbouZeid, OS; Abraham, NL; Abramowicz, HCollections
- Physics and Astronomy [1328]
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