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Identification of hadronic tau lepton decays using neural networks in the ATLAS experiment
This note describes a novel algorithm to identify the visible decay products of hadronic tau decays ($\tau_\text{had-vis}$) used by the ATLAS experiment for Run 2 of the LHC. The algorithm is based on recurrent neural networks (RNN) employing information from reconstructed charged-particle tracks an...
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| Lenguaje: | eng |
| Publicado: |
2019
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| Acceso en línea: | http://cds.cern.ch/record/2688062 |