Cargando…
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs
The Large Hadron Collider (LHC) at CERN is the largest and most powerful particle collider today. The Phase-II Upgrade of the LHC will increase the instantaneous luminosity by a factor of 7 leading to the High Luminosity LHC (HL-LHC). At the HL-LHC, the number of proton-proton collisions in one bunc...
Autor principal: | Chiedde, Nemer |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2863781 |
Ejemplares similares
-
MACHINE LEARNING FOR REAL-TIME PROCESSING OF ATLAS LIQUID ARGON CALORIMETER SIGNALS WITH FPGAS
por: Chiedde, Nemer
Publicado: (2021) -
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs
por: Chiedde, Nemer
Publicado: (2021) -
Machine learning for real-time processing of ATLAS liquid argon calorimeter signals with FPGAs
por: Chiedde, Nemer
Publicado: (2021) -
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs
por: Aad, Georges, et al.
Publicado: (2022) -
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs
por: Fortin, Etienne Marie
Publicado: (2021)