Author:
Mandrikova O V,Geppener V V,Mandrikova B S
Abstract
Abstract
An automated method for analysis of cosmic ray data and for detection of sporadic effects is described. The method is based on the application of multi-scale wavelet decompositions and neural networks of vector quantization. Using the method as the base, cosmic ray dynamics was investigated during increased solar activity and magnetic storms. Sporadic effects preceding and accompanying magnetic storms were detected. The method showed its efficiency for data real time analysis and detection of sporadic effects including those of low amplitude. The results are important in the tasks of space weather forecast.
Subject
General Physics and Astronomy
Cited by
8 articles.
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