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Machine Learning for Particle Flow Reconstruction at CMS
We provide details on the implementation of a machine-learning based particle flow algorithm for CMS. The standard particle flow algorithm reconstructs stable particles based on calorimeter clusters and tracks and is essential for physics analyses involving jets and missing transverse energy. We hav...
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2792320 |