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Identification of electrons using a deep neural network in the ATLAS experiment
This note introduces an algorithm to identify electrons in the ATLAS experiment based on a deep neural network. Inputs to the network are high-level discriminating variables derived from the reconstructed electron track and cluster of energy depositions in the calorimeter system. The performance is...
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| Lenguaje: | eng |
| Publicado: |
2022
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| Acceso en línea: | http://cds.cern.ch/record/2809283 |