Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/63672

TitlePerformance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
Author(s)Onofre, A.
Castro, Nuno Filipe
ATLAS Collaboration
Issue date2019
PublisherSpringerOpen
JournalEuropean Physical Journal C
CitationAaboud, M., Aad, G., Abbott, B., Abdinov, O., Abeloos, B., Abhayasinghe, D. K., . . . Collaboration, A. (2019). Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC. European Physical Journal C, 79(5). doi: 10.1140/epjc/s10052-019-6847-8
Abstract(s)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.
TypeArticle
DescriptionThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3.
URIhttp://hdl.handle.net/1822/63672
DOI10.1140/epjc/s10052-019-6847-8
ISSN1434-6044
e-ISSN1434-6052
Publisher versionhttps://link.springer.com/article/10.1140%2Fepjc%2Fs10052-019-6847-8
Peer-Reviewedyes
AccessOpen access
Appears in Collections:LIP - Artigos/papers

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