Cargando…
End-to-End Jet Classification of Boosted Top Quarks with CMS Open Data
We describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a gluon. The end-to-end deep learning technique combines deep learning algorithms and low-level detector...
| Autores principales: | , , , , , , , , , , , , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202125104030 https://dx.doi.org/10.1103/PhysRevD.105.052008 http://cds.cern.ch/record/2780774 |