Efficacy of spectral windows in detecting periodicity of the monthly average sunspot data

Tarek A Elghazali; Mohammad M Sulayman; Ibrahim M Elbakosh

doi:10.30574/ijsra.2024.13.2.2399

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Efficacy of spectral windows in detecting periodicity of the monthly average sunspot data

Tarek A Elghazali ^{1, *}, Mohammad M Sulayman ² and Ibrahim M Elbakosh ³

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.

Research Article

International Journal of Science and Research Archive, 2024, 13(02), 2344–2352.
Article DOI: 10.30574/ijsra.2024.13.2.2399
DOI url: https://doi.org/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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How to cite this article

Tarek A Elghazali, Mohammad M Sulayman and Ibrahim M Elbakosh.Efficacy of spectral windows in detecting periodicity of the monthly average sunspot data. International Journal of Science and Research Archive, 2024, 13(02), 2344–2352. https://doi.org/10.30574/ijsra.2024.13.2.2399

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