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Identification of Hadronically-Decaying W Boson Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at #sqrt{s} = 13 TeV

The application of boosted decision trees and deep neural networks to the identification of hadronically-decaying W bosons and top quarks using high-level jet observables as inputs is investigated using Monte Carlo simulations. In the case of both boosted decision trees and deep neural networks, the...

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Detalles Bibliográficos
Autor principal:	Nitta, Tatsumi
Lenguaje:	eng
Publicado:	2017
Materias:	Particle Physics - Experiment
Acceso en línea:	http://cds.cern.ch/record/2275499

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