Cargando…
LHCb Kalman filter cross architecture studies
The 2020 upgrade of the LHCb detector will vastly increase the rate of collisions the Online system needs to process in software, in order to filter events in real time. 30 million collisions per second will pass through a selection chain, where each step is executed conditional to its prior acceptan...
Autor principal: | Campora Perez, Daniel Hugo |
---|---|
Lenguaje: | eng |
Publicado: |
2017
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/898/3/032052 http://cds.cern.ch/record/2292435 |
Ejemplares similares
-
LHCb Kalman Filter cross architectures studies
por: Campora Perez, Daniel Hugo
Publicado: (2016) -
Cross-architecture Kalman filter benchmarks on modern hardware platforms
por: Cámpora Pérez, D H, et al.
Publicado: (2018) -
A parametrized Kalman filter for fast track fitting at LHCb
por: Billoir, Pierre, et al.
Publicado: (2021) -
Application of Kalman filtering to track fitting in the DELPHI detector
por: Frühwirth, R
Publicado: (1987) -
LHCb GPU Acceleration Project
por: Badalov, Alexey, et al.
Publicado: (2015)