Cargando…
Neural network-based algorithm for the identification of bottom quarks in the CMS Phase-2 Level-1 trigger
The Phase-2 upgrade of the CMS detector for the High Luminosity upgrade of the LHC (HL-LHC) includes the introduction of many new capabilities into the Level-1 trigger, including tracking and the new high- granularity calorimeter. The inclusion of tracking in particular offers the possibility of dev...
Autor principal: | CMS Collaboration |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2814728 |
Ejemplares similares
-
Electron Reconstruction and Identification in the CMS Phase-2 Level-1 Trigger
por: CMS Collaboration
Publicado: (2023) -
Jet Reconstruction with the Seeded Cone algorithm in the CMS Phase-2 Level-1 Trigger
por: CMS Collaboration
Publicado: (2023) -
Continual Learning in the CMS Phase-2 Level-1 Trigger
por: CMS Collaboration
Publicado: (2023) -
The Phase-2 Upgrade of the CMS Data Acquisition and High Level Trigger
por: Collaboration, CMS
Publicado: (2021) -
Heavy flavor identification at CMS with deep neural networks
por: CMS Collaboration
Publicado: (2017)