Cargando…
Development of FPGA-based neural network regression models for the ATLAS Phase-II barrel muon trigger upgrade
<!--HTML-->Effective selection of muon candidates is the cornerstone of the LHC physics programme. The ATLAS experiment uses the two-level trigger system for real-time selections of interesting events. The first-level hardware trigger system uses the Resistive Plate Chamber detector (RPC) for...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2767066 |