E3S Web Conf.
Volume 196, 2020XI International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|Number of page(s)||12|
|Section||Geophysical Fields and their Interactions|
|Published online||16 October 2020|
An automated method for detecting sporadic effects in cosmic rays
1 Saint Petersburg Electrotechnical University “LETI”, 197022 Professora Popova st., St. Petersurg, Russia
2 Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, 684034 Mirnaya st, 7, Paratunka, Kamchatksiy kray, Russia
* Corresponding author: firstname.lastname@example.org
The paper proposes an automated method for analyzing data from neutron monitors and detecting sporadic effects in the dynamics of cosmic rays. The method is based on the use of LVQ neural networks and wavelet transform constructions. It is shown that the method allows detecting sporadic effects of different amplitudes and durations and evaluating their parameters. A numerical implementation of procedures for detecting sporadic effects and assessing their intensity is carried out. The questions of choosing the parameters of algorithms are investigated and ways of their optimization are proposed. On the example of the April 13-14 2013 and March 8-9 2014 events, the effectiveness of the method for detecting sporadic effects in cosmic rays preceding and accompanying magnetic storms is shown.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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