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A Deep Learning approach to LHCb Calorimeter reconstruction using a Cellular Automaton
The optimization of reconstruction algorithms has become a key aspect in LHCb as it is currently undergoing a major upgrade that will considerably increase the data processing rate. Aiming to accelerate the second most time consuming reconstruction process of the trigger, we propose an alternative r...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202125104008 http://cds.cern.ch/record/2814342 |