Tau decay analysis with neural networks

F. Daniel Bertrand; Veronique Lefebure

doi:10.1117/12.205107

6 April 1995 Tau decay analysis with neural networks

F. Daniel Bertrand, Veronique Lefebure

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205107
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Feed forward neural networks are used in the DELPHI experiment in order to identify exclusive decay channels of the (tau) lepton. A first step consists in determining the event topology in charged particles. Another network is then used in order to distinguish the corresponding charged leptons or hadrons as well as to establish the presence of neutral pions in the decay products. Migration matrices are computed to evaluate the mutual contaminations of various disintegration modes. The neural network method allows the user to reach higher efficiencies than the classic analysis using linear selection criteria.

Citation Download Citation

F. Daniel Bertrand and Veronique Lefebure "Tau decay analysis with neural networks", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205107

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