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The Tau Neural Classifier (TaNC) is a novel algorithm for identification of
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hadronic tau decays. The algorithm includes two components, the reconstruction
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of tau lepton hadronic decay modes and discrimination of tau lepton hadronic
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decays from quark and gluon jets. The reconstruction of decay modes is based
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on the reconstruction of individual charged hadrons and photons by the
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particle--flow algorithm and is utilized in the discrimination to train a set
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of neural networks using input variables that are sensitive to particular decay
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modes. We observe a significant improvement in identification performance in
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comparison to previous algorithms.
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