A method was developed for detecting anomalous variations in the cosmic ray flux intensity during geomagnetic storms. The method involves cognitive rules for choosing solutions and is a synthesis of the threshold wavelet filtering and elements of the statistical decision theory. Numerical implementation of the method allows obtaining the best (in a certain statistical sense) solution at a rate of data receipt in the processing system. Data from ground-based neutron monitors of high-latitude stations (nmdb.eu) were used in the study. Two periods of extreme geomagnetic storms G5 and G4 accompanied by two deep Forbush decreases recorded on May 11, 2024 and January 01, 2025, were considered. The proposed method made it possible to detect anomalous changes in the intensity of the cosmic ray flux several hours before the onset of Forbush decreases and the registration of geomagnetic storms.
O.V. Mandrikova (Wed,) studied this question.
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