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Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.ORCID iD: 0000-0002-1253-8583
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
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Number of Authors: 29212019 (English)In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 79, no 5, article id 375Article in journal (Refereed) Published
Abstract [en]

The performance of identification algorithms (taggers) for hadronically decaying top quarks and W bosons in pp collisions at = 13TeV 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 36.1fb-1 for the tt and +jet and 36.7-1 for the dijet event topologies.

Place, publisher, year, edition, pages
SPRINGER , 2019. Vol. 79, no 5, article id 375
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-390543DOI: 10.1140/epjc/s10052-019-6847-8ISI: 000466407600007OAI: oai:DiVA.org:uu-390543DiVA, id: diva2:1341905
Funder
Swedish Research CouncilEU, European Research CouncilEU, Horizon 2020
Note

For complete list of authors see http://dx.doi.org/10.1140/epjc/s10052-019-6847-8

Available from: 2019-08-12 Created: 2019-08-12 Last updated: 2019-08-12Bibliographically approved

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Asimakopoulou, Eleni M.Bergeås Kuutmann, ElinBokan, PetarBrenner, RichardEkelöf, TordEllert, MattiasFerrari, ArnaudGradin, P. O. JoakimIsacson, Max F.Mårtensson, Mikael U. F.Sales De Bruin, Pedro

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Asimakopoulou, Eleni M.Bergeås Kuutmann, ElinBokan, PetarBrenner, RichardEkelöf, TordEllert, MattiasFerrari, ArnaudGradin, P. O. JoakimIsacson, Max F.Mårtensson, Mikael U. F.Sales De Bruin, Pedro
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