Cargando…
Jet Flavour Classification Using DeepJet
Jet flavour classification is of paramount importance for a broad range of applications in modern-day high-energy-physics experiments, particularly at the LHC. In this paper we propose a novel architecture for this task that exploits modern deep learning techniques. This new model, called DeepJet, o...
Autores principales: | Bols, Emil, Kieseler, Jan, Verzetti, Mauro, Stoye, Markus, Stakia, Anna |
---|---|
Lenguaje: | eng |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1748-0221/15/12/P12012 http://cds.cern.ch/record/2730134 |
Ejemplares similares
-
Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters
por: Wunsch, Stefan, et al.
Publicado: (2020) -
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
por: Qasim, Shah Rukh, et al.
Publicado: (2019) -
DeepJet: a deep-learned multiclass jet-tagger for slim and fat jets
por: Gouskos, Loukas, et al.
Publicado: (2018) -
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider
por: Aarrestad, Thea, et al.
Publicado: (2021) -
Goodness of fit by Neyman-Pearson testing
por: Grosso, Gaia, et al.
Publicado: (2023)