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Identification of Hadronic Tau Lepton Decays with Domain Adaptation using Adversarial Machine Learning at CMS
This thesis reports improved machine learning-based techniques to discriminate genuine decays of tau leptons into hadrons and a neutrino against all main backgrounds at the CMS experiment. The deep convolutional neural network, DeepTau, used for tau identification by physics analyses of the 2016-201...
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| Lenguaje: | eng |
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28/0
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| Acceso en línea: | http://cds.cern.ch/record/2827366 |