Cargando…
Track reconstruction for the ATLAS Phase-II High-Level Trigger using Graph Neural Networks on FPGAs
The High-Luminosity LHC (HL-LHC) will provide an order of magnitude increase in integrated luminosity and enhance the discovery reach for new phenomena. The increased pile-up foreseen during the HL-LHC necessitates major upgrades to the ATLAS detector and trigger. The Phase-II trigger will consist o...
Autores principales: | Gupta, Sachin, ATLAS TDAQ Collaboration |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2876099 |
Ejemplares similares
-
Track reconstruction for the ATLAS Phase-II Event Filter using GNNs on FPGAs
por: Dittmeier, Sebastian, et al.
Publicado: (2023) -
Track reconstruction for the ATLAS Phase-II Event Filter using GNNs on FPGAs
por: Dittmeier, Sebastian, et al.
Publicado: (2023) -
Track reconstruction for the ATLAS Phase-II High-Level Trigger using Graph Neural Networks on FPGAs
por: Parajuli, Santosh
Publicado: (2023) -
The ATLAS Hardware Track Trigger design towards first prototypes
por: Pastore, Francesca, et al.
Publicado: (2019) -
The ATLAS Hardware Track Trigger design towards first prototypes
por: Martyniuk, Alex, et al.
Publicado: (2019)