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Proceedings Paper

Use of neural networks to analyze Z approaches bb events in ALEPH
Author(s): Pierre Henrard
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Paper Abstract

Neural networks have been used in the ALEPH Collaboration at LEP to tag bb final states in Z decays, and to search for rare decays of B-hadrons. It is shown that the neural network approach, due to its nonlinearity, significantly improves the b tagging compared to linear multivariate analyses and to single-variable methods. For both analyses, the uncertainties due to the use of neural network are negligible and hence this technique is well adapted not only to select pure samples of bb events but also to achieve high precision measurements.

Paper Details

Date Published: 6 April 1995
PDF: 12 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205110
Show Author Affiliations
Pierre Henrard, Univ. Blaise Pascal (France)

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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