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Towards the Increase in Granularity for the Main Hadronic ATLAS Calorimeter: Exploiting Deep Learning Methods
During the second phase upgrade program developed for LHC and its experiments, the main hadronic calorimeter of ATLAS (TileCal) will redesign completely its readout electronics, but the optical signal pathway will be kept unchanged. However, there is a technical possibility for improving increasing...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2674913 |