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Dijet resonance search with weak supervision using $\sqrt{s}$ = 13 TeV pp collisions in the ATLAS detector
This talk describes a search for resonant new physics using a machine-learning anomaly detection procedure that does not rely on a signal model hypothesis. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | http://cds.cern.ch/record/2724057 |