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Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs
The ATLAS experiment at CERN measures energy of proton–proton (P-P) collisions with a repetition frequency of 40 MHz at the Large Hadron Collider (LHC). The readout electronics of liquid-argon (LAr) calorimeters, developed by ATLAS, are being readied for high luminosity-LHC (HL-LHC) operation as par...
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2789016 |
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