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A DNN for CMS track classification and selection
The upgrade of the track classification and selection step of the CMS tracking to a Deep Neural Network is presented. The CMS tracking follows an iterative approach: tracks are reconstructed in multiple passes starting from the ones that are easiest to find and moving to the ones with more complex...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2872285 |