| 1 |
friis |
1.2 |
The dominant (excluding rare decays to kaons, which are not considered here.)
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| 2 |
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hadronic decays of taus consist of a varying number of charged and neutral
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| 3 |
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pions. The neutral pions undergo prompt decay to photon pairs. These decays
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| 4 |
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proceed through intermediate resonances, given in
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| 5 |
friis |
1.1 |
table~\ref{table:decay_modes}. Each of these decay modes uniquely maps to a
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| 6 |
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tau final state multiplicity, and each resonance has a different invariant
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| 7 |
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mass. This implies that the problem of hadronic tau identification can be
|
| 8 |
friis |
1.2 |
reframed from a global search for collimated hadrons under the tau mass into an
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| 9 |
friis |
1.1 |
ensemble of searches for single production of the various decay resonances
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| 10 |
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given in table~\ref{table:decay_modes}. In this paper, we present a novel
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| 11 |
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algorithm, the ``Tau Neural Classifier'' (TaNC) which uses this approach to
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| 12 |
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improve on traditional tau-ID strategies.
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| 13 |
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| 14 |
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\begin{table}
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| 15 |
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\caption{Visible products of hadronic tau decays}
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| 16 |
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\centering
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| 17 |
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\begin{tabular}{ l c r r }
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| 18 |
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Visible Decay Products & Resonance & Mass (M$e$V/$c^2$) & Fraction \\
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| 19 |
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\hline
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| 20 |
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$\pi^{-}$ & n/a & 135 & fixme \\
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| 21 |
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$\pi^{-}\pi^0$ & $\rho$ & 770 & fixme \\
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| 22 |
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$\pi^{-}\pi^0\pi^0$ & $a1$ & 1200 & fixme \\
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| 23 |
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$\pi^{-}\pi^{-}\pi^{+}$ & $a1$ & 1200 & fixme \\
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| 24 |
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$\pi^{-}\pi^{-}\pi^{+}\pi^0$ & $a1$ & 1200 & fixme \\
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| 25 |
|
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\hline
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| 26 |
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Total & & & 65\% \\
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| 27 |
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\end{tabular}
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| 28 |
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\label{table:decay_modes}
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| 29 |
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\end{table}
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| 30 |
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