Use of neural networks to analyze Z approaches bb events in ALEPH

Pierre Henrard

doi:10.1117/12.205110

6 April 1995 Use of neural networks to analyze Z approaches bb events in ALEPH

Pierre Henrard

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205110
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Pierre Henrard "Use of neural networks to analyze Z approaches bb events in ALEPH", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205110

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