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Active Learning application in a dark matter search with ATLAS PanDA and iDDS
Active learning techniques can enhance efficiency in new physics searches. To demonstrate this an extended two dimensional search using an active learning technique with a preserved analysis is presented. This preserved analysis searches for a dark-Z boson in four-lepton final states. Bayesian optim...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2865301 |