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Efficacy of spectral windows in detecting periodicity of the monthly average sunspot data
1 Department of Statistics, Faculty of Science, University of Benghazi, Benghazi, Libya.
2 Department, Faculty of Engineering Science, University of Bright Star, Bright, Libya.
3 Department of Health Informatics, Faculty of Public Health, University of Benghazi, Benghazi, Libya.
2 Department, Faculty of Engineering Science, University of Bright Star, Bright, Libya.
3 Department of Health Informatics, Faculty of Public Health, University of Benghazi, Benghazi, Libya.
Research Article
International Journal of Science and Research Archive, 2024, 13(02), 2344–2352.
Article DOI: 10.30574/ijsra.2024.13.2.2399
Publication history:
Received on 28 October 2024; revised on 07 December 2024; accepted on 09 December 2024
Abstract:
This study aimed to determine the effectiveness of different spectral windows, such as Daniel, Tukey, Hamming, Parzen, and Bartlett, in identifying the periodicity of monthly average sunspot data (Wolf-Sunspot, 1961–1980). The goal was to comprehend the recurring patterns of sunspot activity, which is crucial in anticipating solar activity and its potential impact on Earth. By employing these windows, the accuracy of this method in uncovering the underlying periodicity is evaluated.
Keywords:
Spectral analysis; Monthly average sunspot data; Periodicity; Spectral windows
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
