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

ATLAS Collaboration; Paul Newman

doi:10.1140/epjc/s10052-019-6847-8

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

ATLAS Collaboration, Paul Newman

Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

174 Downloads (Pure)

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 tt̅ and γ+jet and 36.7 fb⁻¹ for the dijet event topologies.

Original language	English
Article number	375
Number of pages	54
Journal	Eur. Phys. J. C
Volume	79
Issue number	5
DOIs	https://doi.org/10.1140/epjc/s10052-019-6847-8
Publication status	Published - 30 Apr 2019

Bibliographical note

79 pages in total, author list starting page 63, 39 figures, 6 tables, submitted to The European Physical Journal C. All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/JETM-2018-03

Keywords

hep-ex

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10.1140/epjc/s10052-019-6847-8Licence: Creative Commons: Attribution (CC BY)

ATLAS_Collaboration_Performance_of_top_quark_and_W_boson_tagging_with_ATLAS_in_Run_2_of_the_LHC_Eur._Phys._J._C_2019
Checked for eligibility: 06/08/2019
Final published version, 3.91 MBLicence: Creative Commons: Attribution (CC BY)

Cite this

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

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 tt̅ and γ+jet and 36.7 fb−1 for the dijet event topologies.",

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AB - 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 tt̅ and γ+jet and 36.7 fb−1 for the dijet event topologies.

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JF - Eur. Phys. J. C

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ER -

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

Abstract

Bibliographical note

Keywords

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Cite this