Particle searches with neural nets

Georg Stimpfl-Abele

doi:10.1117/12.205100

6 April 1995 Particle searches with neural nets

Georg Stimpfl-Abele

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205100
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The efficiency and robustness of neural feed-forward nets in particle searches is studied using the search for the standard Higgs Boson at LEP-200 as an example. Methods to select the most efficient variables, to define standard cuts, and to recognize significant differences between the training-data sample and a test-data sample are presented. The efficiencies of the neural nets are significantly better than those of standard methods.

Citation Download Citation

Georg Stimpfl-Abele "Particle searches with neural nets", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205100

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