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Performance of the GNN-based tracking for ATLAS ITk
The Graph Neural Network (GNN) -based track finding pipeline has seen promising track reconstruction efficiencies in the ttbar events with <mu> = 200 for the ITk detector [ATL-ITK-PROC-2022-006]. The pipeline contains three discrete stages: graph construction, edge classification, and graph se...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2858009 |