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Fast inference on FPGA for the ATLAS Muon Trigger
Track finding in high-density environments is a key challenge for experiments at modern accelerators. In this presentation we describe the performance obtained running machine learning models studied for the ATLAS Muon High Level Trigger. These mod- els are designed for hit position reconstruction a...
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| Lenguaje: | eng |
| Publicado: |
2023
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| Acceso en línea: | http://cds.cern.ch/record/2873583 |