Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/123565
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Type: | Journal article |
Title: | Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC |
Author: | Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abhayasinghe, D.K. Abidi, S.H. AbouZeid, O.S. Abraham, N.L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B.S. Adachi, S. Adam, L. Adamczyk, L. Adelman, J. Adersberger, M. Adiguzel, A. Adye, T. et al. |
Citation: | European Physical Journal C: Particles and Fields, 2019; 79(5):375-1-375-54 |
Publisher: | Springer Nature |
Issue Date: | 2019 |
ISSN: | 1434-6044 1434-6052 |
Statement of Responsibility: | M. Aaboud ... D. Duvnjak ... P. Jackson ... J.L. Oliver ... A. Petridis ... A. Qureshi ... A.S. Sharma ... M.J. White ... et al. [The ATLAS Collaboration] |
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. |
Rights: | © CERN for the benefit of the ATLAS collaboration 2019. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.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. |
DOI: | 10.1140/epjc/s10052-019-6847-8 |
Grant ID: | ARC |
Published version: | http://dx.doi.org/10.1140/epjc/s10052-019-6847-8 |
Appears in Collections: | Aurora harvest 4 Physics publications |
Files in This Item:
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hdl_123565.pdf | Published version | 3.4 MB | Adobe PDF | View/Open |
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