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Scientific article
Open access
English

Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC

ContributorsATLAS Collaboration
Collection
  • Open Access - SCOAP3
Publication date2019
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. 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 for the tt¯ and γ+jet and 36.7 fb -1 for the dijet event topologies.

Citation (ISO format)
ATLAS Collaboration. Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC. In: The European Physical Journal. C, Particles and Fields, 2019, vol. 79, n° 5, p. 375. doi: 10.1140/epjc/s10052-019-6847-8
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Article (Published version)
Identifiers
ISSN of the journal1434-6044
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Technical informations

Creation06/04/2019 5:13:20 PM
First validation06/04/2019 5:13:20 PM
Update time03/15/2023 5:12:27 PM
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