ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
Menu

6
Issue
vol 67 / May, 2024
Article

DOI 10.17586/0021-3454-2024-67-6-475-480

UDC 537.86.029

IDENTIFICATION OF PC4 TYPE GEOMAGNETIC PULSATIONS USING BIG DATA METHODS IN MATLAB ENVIRONMENT

A. G. Korobeynikov
Saint Petersburg Branch Organization of the Russian Academy of Sciences “Institute of Earth Magnetism, Ionosphere and Radio waves named after N.V. Pushkov RAS”;ITMO University, Saint Petersburg, 197101, Russian Federation ; Deputy Director for Science

Reference for citation: Korobeynikov A. G. Identification of Pc4 type geomagnetic pulsations using big data methods In matlab environment. Journal of Instrument Engineering. 2024. Vol. 67, N 6. P. 475–480 (in Russian). DOI: 10.17586/0021-3454-2024-67-6-475-480

Abstract. Geomagnetic pulsations, which usually mean a change in the strength of the geomagnetic field in different frequency ranges depending on time and various factors, can be formally represented as magnetohydrodynamic waves in the near-Earth plasma. On the Earth’s surface, geomagnetic pulsations can be isolated from ultra-low-frequency electromagnetic oscillations recorded, for example, in geomagnetic observatories. Geomagnetic pulsations contain various information, for example, about environmental parameters in the areas of their generation; about the features of the development of geomagnetic storms and substorms. The features of working with one of the most common types of geomagnetic pulsations — type Pc4, with an oscillation period of 45–150 s, are analyzed. The processed data is obtained from the international INTERMAGNET network. Since the volume of such data exceeds the amount of computer RAM, BigData technologies implemented in the MATLAB environment are used.
Keywords: Big Data, Filter Design, INTERMAGNET, MATLAB, Pc4, tall array, geomagnetic observatory, Earth’s magnetic field, bandpass filter, data storage

Acknowledgement: The work was supported by the Russian Science Foundation, grant No. 23-27-00011.

References:

1. Leonovich A. S., Mazur V. A. Lineynaya teoriya magnitogidrodinamicheskikh kolebaniy magnitosfery (Linear Theory of Magnetohydrodynamic Oscillations of the Magnetosphere), Moscow, 2016, 480 р. (in Russ.) 2. Korobeynikov A. G. Journal of Instrument Engineering, 2023, no. 12(66), pp. 993–1001, DOI: 10.17586/0021-3454- 2023-66-12-993-1001. (in Russ.) 3. Korobeynikov A. G. International Journal of Humanities and Natural Sciences, 2018, no. 8, pp. 91–98. (in Russ.) 4. Makshanov A. V., Zhuravlev A. E., Tyndykar L. N. Bol’shiye dannyye. Big data (Big Data. Big Data), St. Petersburg, 2022, 188 р., ISBN 978-5-8114-9834-5. (in Russ.) 5. Grishentsev A. Y., Korobeynikov A. G., Velichko E. N., Nepomnyashchaya E. K., Rozov S. V. Radioengineering, 2015, no. 9, pp. 51–58. (in Russ.) 6. Dyakonov V. P. MATLAB i SIMULINK dlya radioinzhenerov (MATLAB and SIMULINK for Radio Engineers), Moscow, 2016, 976 р. (in Russ.) 7. Matyushkin I. V. Modelirovaniye i vizualizatsiya sredstvami MATLAB fiziki nanostruktur (Modeling and Visualization by Means of MATLAB of the Physics of Nanostructures), Moscow, 2011, 168р. (in Russ.) 8. Korobeynikov A. G. Software & Systems, 2022, no. 3(35), pp. 452–457, DOI: 10.15827/0236-235X.139.452-457. (in Russ.)