Abstract
Cellular automaton is used for filtering data and elastic net for geometrical reconstruction of events in high energy physics. The advantages of these methods are simplicity of the algorithms, fast and stable convergence, and reconstruction efficiency close to 100%. This chapter describes an application of a cellular automaton for searching tracks and an elastic neural net for fitting tracks in the NEMO experiment and for searching for vertex in the muoniumantimuonium experiment. These methods were tested with success on simulated events and real data obtained in the experiments NEMO and muoniumantimuonium. The results of testing on simulated and real NEMO tracks and simulated and real muoniumantimuonium events demonstrate reliable working of the cellular automaton of the elastic net method.
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Schedule a callMore From: Proceedings IWISP '96, 4 - 7 November 1996; Manchester, UK
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