Cargando…
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...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2017
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2275499 |