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High Granularity Calorimeter Reconstruction Results using a Graph Neural Network
We present the current stage of research progress towards a one-pass, completely Machine Learning (ML) based reconstruction. The model used is based on graph Neural Networks (GNNs) and analyzes the hits in each HGCAL endcap. The ML algorithm is trained to predict clusters of hits originating from th...
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| Lenguaje: | eng |
| Publicado: |
2022
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| Acceso en línea: | http://cds.cern.ch/record/2805640 |