Cargando…
Machine learning techniques for jet flavour identification at CMS
Jet flavour identification is a fundamental component of the physics program of the LHC-based experiments. The presence of multiple flavours to be identified leads to a multiclass classification problem. We present results from a realistic simulation of the CMS detector, one of two multi-purpose det...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2019
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201921406010 http://cds.cern.ch/record/2699583 |