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Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs
Within the Phase-II upgrade of the LHC, the readout electronics of the ATLAS LAr Calorimeters is prepared for high luminosity operation expecting a pile-up of up to 200 simultaneous pp interactions. Moreover, the calorimeter signals of up to 25 subsequent collisions are overlapping, which increases...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | https://dx.doi.org/10.22323/1.398.0752 http://cds.cern.ch/record/2789991 |