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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC. / Collaboration, ATLAS; Barton, A.E.; Bertram, I.A. et al.
In: European Physical Journal D, Vol. 79, No. 5, 375, 01.05.2019.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Collaboration, ATLAS, Barton, AE, Bertram, IA, Borissov, G, Bouhova-Thacker, EV, Fox H.AU - Henderson, RCW, Jones, RWL, Kartvelishvili, V, Long, RE, Love, PA, Muenstermann, D, Parker, AJ, Smizanska, M, Tee, AS, Walder, J, Wharton, AM & Whitmore, BW 2019, 'Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC', European Physical Journal D, vol. 79, no. 5, 375. https://doi.org/10.1140/epjc/s10052-019-6847-8

APA

Collaboration, ATLAS., Barton, A. E., Bertram, I. A., Borissov, G., Bouhova-Thacker, E. V., Fox H.AU - Henderson, R. C. W., Jones, R. W. L., Kartvelishvili, V., Long, R. E., Love, P. A., Muenstermann, D., Parker, A. J., Smizanska, M., Tee, A. S., Walder, J., Wharton, A. M., & Whitmore, B. W. (2019). Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC. European Physical Journal D, 79(5), Article 375. https://doi.org/10.1140/epjc/s10052-019-6847-8

Vancouver

Collaboration ATLAS, Barton AE, Bertram IA, Borissov G, Bouhova-Thacker EV, Fox H.AU - Henderson RCW et al. Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC. European Physical Journal D. 2019 May 1;79(5):375. doi: 10.1140/epjc/s10052-019-6847-8

Author

Collaboration, ATLAS ; Barton, A.E. ; Bertram, I.A. et al. / Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC. In: European Physical Journal D. 2019 ; Vol. 79, No. 5.

Bibtex

@article{4d2942cfee4a46f6b8cd507cbc4dc20b,
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 tt¯ and γ+ jet and 36.7 fb - 1 for the dijet event topologies. {\textcopyright} 2019, CERN for the benefit of the ATLAS collaboration.",
author = "ATLAS Collaboration and A.E. Barton and I.A. Bertram and G. Borissov and E.V. Bouhova-Thacker and {Fox H.AU - Henderson}, R.C.W. and R.W.L. Jones and V. Kartvelishvili and R.E. Long and P.A. Love and D. Muenstermann and A.J. Parker and M. Smizanska and A.S. Tee and J. Walder and A.M. Wharton and B.W. Whitmore",
year = "2019",
month = may,
day = "1",
doi = "10.1140/epjc/s10052-019-6847-8",
language = "English",
volume = "79",
journal = "European Physical Journal D",
issn = "1434-6060",
publisher = "Springer New York LLC",
number = "5",

}

RIS

TY - JOUR

T1 - Performance of top-quark and W -boson tagging with ATLAS in Run 2 of the LHC

AU - Collaboration, ATLAS

AU - Barton, A.E.

AU - Bertram, I.A.

AU - Borissov, G.

AU - Bouhova-Thacker, E.V.

AU - Fox H.AU - Henderson, R.C.W.

AU - Jones, R.W.L.

AU - Kartvelishvili, V.

AU - Long, R.E.

AU - Love, P.A.

AU - Muenstermann, D.

AU - Parker, A.J.

AU - Smizanska, M.

AU - Tee, A.S.

AU - Walder, J.

AU - Wharton, A.M.

AU - Whitmore, B.W.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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. © 2019, CERN for the benefit of the ATLAS collaboration.

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 tt¯ and γ+ jet and 36.7 fb - 1 for the dijet event topologies. © 2019, CERN for the benefit of the ATLAS collaboration.

U2 - 10.1140/epjc/s10052-019-6847-8

DO - 10.1140/epjc/s10052-019-6847-8

M3 - Journal article

VL - 79

JO - European Physical Journal D

JF - European Physical Journal D

SN - 1434-6060

IS - 5

M1 - 375

ER -