Petrenko, B., Kozak, L., Kronberg, E. et al. (1 more author) (2022) Approbation of wave dispersion analysis using multispacecraft methods. Bulletin of Taras Shevchenko National University of Kyiv. Astronomy (66). pp. 20-25. ISSN 1728-273X
Abstract
Methods of wave analysis of time series are analyzed in detail, namely: two-spacecraft phase difference, beamforming, k-filtering, MSR (Multi-point Signal Resonator) technique. These multispacecraft methods allow to obtain a set of wave power peaks with different spatial scales at the same frequency, which is a significant advantage over the single-spacecraft approach due to existence a significant number of wave modes at the same frequency in space plasmas. The software implementation of these methods with their successful testing on artificial data is executed. The effectiveness of each method for detecting maxima in the power spectra of the magnetic field is demonstrated.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Петренко Б., Козак Л., Кронберг Е., Баллаї І., © Year The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Dispersion analysis; multispacecraft method; phase difference; beamforming; k-filtration; MSR technique |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Funding Information: | Funder Grant number ROYAL SOCIETY IES\R1\211177 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Sep 2023 15:17 |
Last Modified: | 19 Sep 2023 15:18 |
Status: | Published |
Publisher: | Taras Shevchenko National University of Kyiv |
Refereed: | Yes |
Identification Number: | 10.17721/btsnua.2022.66.20-25 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203431 |