Cargando…
Machine learning and parallelism in the reconstruction of LHCb and its upgrade
The LHCb detector at the LHC is a general purpose detector in the forward region with a focus on reconstructing decays of c- and b-hadrons. For Run II of the LHC, a new trigger strategy with a real-time reconstruction, alignment and calibration was employed. This was made possible by implementing an...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2016
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201612700006 http://cds.cern.ch/record/2205691 |