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Identification of Jets Containing b-Hadrons with Recurrent Neural Networks at the ATLAS Experiment
A novel b-jet identification algorithm is constructed with a Recurrent Neural Network (RNN) at the ATLAS Experiment. This talk presents the expected performance of the RNN based b-tagging in simulated $t \bar t$ events. The RNN based b-tagging processes properties of tracks associated to jets which...
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Lenguaje: | eng |
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2017
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Acceso en línea: | http://cds.cern.ch/record/2262997 |