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Convolutional neural networks for charged particle detection using Hough transform in the ATLAS detector at HL-LHC
Due to increased luminosity and bunch crossing rate at the HL-LHC an improvement to the trigger system at the ATLAS detector is needed. In this thesis convolutional neural networks are suggested to improve charged particle candidate finding in Hough transformed images of hits in the Inner tracker. T...
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Lenguaje: | eng |
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2021
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Acceso en línea: | http://cds.cern.ch/record/2789733 |