6 April 1995 Particle searches with neural nets
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Georg Stimpfl-Abele, Georg Stimpfl-Abele, } "Particle searches with neural nets", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205100; https://doi.org/10.1117/12.205100
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