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friis |
1.1 |
The TaNC algorithm has been optimized for the early stages of LHC operation.
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| 2 |
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The quality selections applied by the decay mode reconstruction algorithm will
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| 3 |
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need to be re--tuned and the neural networks retrained after each significant
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| 4 |
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change in instantaneous luminosity to remove the effects of multiple
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| 5 |
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interactions in the same bunch crossing, and after collision energy changes due
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| 6 |
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to the increased energy of the multiple scattering events.
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| 7 |
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| 8 |
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The dependence of the algorithm on the robustness of Monte
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| 9 |
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Carlo simulations can be minimized by using real events as the background
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| 10 |
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training sample. As the QCD di--jet production rate is many orders of magnitude
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| 11 |
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larger than that of tau leptons, it is relatively straightforward to obtain a
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| 12 |
friis |
1.2 |
pure background training sample with early CMS datasets.
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| 13 |
friis |
1.1 |
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| 14 |
friis |
1.2 |
The relatively long lifetime of the tau lepton ($c\tau = 87\mu$m) allows
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| 15 |
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potential discrimination against quark and gluon jets using displaced vertex
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| 16 |
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information. A feasibility study is planned to determine if adding vertex
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| 17 |
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related observables could improve the discrimination performance.
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