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High tau identification performance is important for the discovery potential of |
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many possible new physics signals at the Compact Muon Solenoid (CMS). Events |
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many potential new physics signals at the Compact Muon Solenoid (CMS). Events |
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with tau leptons are typically signal events; the Standard Model background |
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rates with true tau leptons are typically the same order of magnitude as the |
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expected signal rate in many searches. The challenge of doing physics with |
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expected signal rate in many searches for new physics. The challenge of doing physics with |
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taus is dominated by the rate at which objects are incorrectly tagged as taus. |
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In paticular, quark and gluon jets have a significantly higher production |
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cross-section and events where these objects are incorrectly identified as tau |
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muons produced in $pp$ collisions. Analyses that use exclusively |
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non-hadronically decaying taus typically require that the leptonic ($e,\mu$) |
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decays be of opposite flavor. The discrimination of hadronic tau decays from |
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electrons and muons is described in~\ref{PFT08001}. With the Tau Neural |
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electrons and muons is described in~\cite{PFT08001}. With the Tau Neural |
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Classifier, we aim to improve the identification of true hadronic tau decays |
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associated with a collimated jet containing either one or three tracks |
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reconstructed in the pixel and silicon strip tracker, plus a low number of |
