Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
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 optima...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
30 April 2019
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| In: |
The European physical journal. C, Particles and fields
Year: 2019, Jahrgang: 79, Heft: 5 |
| ISSN: | 1434-6052 |
| DOI: | 10.1140/epjc/s10052-019-6847-8 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1140/epjc/s10052-019-6847-8
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| Verfasserangaben: | ATLAS Collaboration |
MARC
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| 245 | 1 | 0 | |a Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC |c ATLAS Collaboration |
| 246 | 3 | 3 | |a Performance of top-quark and W-boson tagging with ATLAS in Run two of the LHC |
| 264 | 1 | |c 30 April 2019 | |
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| 500 | |a Im Titel ist 'W' kursiv dargestellt | ||
| 520 | |a 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. | ||
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