| 1 |
friis |
1.3 |
The Tau Neural Classifier algorithm reconstructs the decay mode of the
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| 2 |
friis |
1.4 |
tau--candidate and then feeds the tau--candidate to different discriminator
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| 3 |
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according to the decay mode. \fixme{still unclear} To optimize the
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| 4 |
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discrimination for each of the different decay modes, the TaNC uses an ensemble
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| 5 |
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of neural nets. Each neural net corresponds to one of the dominant hadronic
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| 6 |
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decay modes of the tau lepton. These selected hadronic decays constitute 95\%
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| 7 |
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of all hadronic tau decays. Tau--candidates with reconstructed decay modes not
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| 8 |
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in the set of dominant hadronic modes are immediately tagged as background.
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| 9 |
friis |
1.1 |
|
