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Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
Univ Mohamed Premier, Fac Sci, Oujda, Morocco.;LPTPM, Oujda, Morocco..
KTH, Skolan för teknikvetenskap (SCI), Fysik, Partikel- och astropartikelfysik.ORCID-id: 0000-0001-6945-1916
KTH, Skolan för teknikvetenskap (SCI), Fysik, Partikel- och astropartikelfysik.ORCID-id: 0000-0003-3867-0336
KTH, Skolan för teknikvetenskap (SCI), Fysik, Partikel- och astropartikelfysik.ORCID-id: 0000-0002-8015-7512
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Rekke forfattare: 29212019 (engelsk)Inngår i: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 79, nr 5, artikkel-id 375Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
SPRINGER , 2019. Vol. 79, nr 5, artikkel-id 375
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Identifikatorer
URN: urn:nbn:se:kth:diva-255167DOI: 10.1140/epjc/s10052-019-6847-8ISI: 000466407600007Scopus ID: 2-s2.0-85065123030OAI: oai:DiVA.org:kth-255167DiVA, id: diva2:1338798
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QC 20190724

Tilgjengelig fra: 2019-07-24 Laget: 2019-07-24 Sist oppdatert: 2019-07-29bibliografisk kontrollert

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