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Proceedings Paper

Tau decay analysis with neural networks
Author(s): F. Daniel Bertrand; Veronique Lefebure
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Paper 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.

Paper Details

Date Published: 6 April 1995
PDF: 11 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205107
Show Author Affiliations
F. Daniel Bertrand, ULB-VUB Universities (Belgium)
Veronique Lefebure, ULB-VUB Universities (Belgium)

Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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