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Feature identification and statistical characteristics of quasi-periodic pulsation in solar flares using the Markov-Chain-Monte-Carlo Approach
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Guo, Yangfan, Liang, Bo, Feng, Song, Yuan, Ding, Nakariakov, Valery M., Dai, Wei and Yang, Yunfei (2023) Feature identification and statistical characteristics of quasi-periodic pulsation in solar flares using the Markov-Chain-Monte-Carlo Approach. The Astrophysical Journal, 944 (1). 16. doi:10.3847/1538-4357/acb34f ISSN 0004-637X.
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WRAP-Feature-identification-and-statistical-characteristics-of-quasi-periodic-pulsation-in-solar-flares-using-the-Markov-Chain-Monte-Carlo-Approach-Nakariakov-2023.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (930Kb) | Preview |
Official URL: http://dx.doi.org/10.3847/1538-4357/acb34f
Abstract
Quasi-periodic pulsation (QPP) is a common phenomenon in solar flares. Studying QPP is important to further our understanding of the physical processes operating in flares. However, detection of QPP is complicated by the presence of noise in flaring lightcurves. In this study, we apply the Bayesian-based Markov-Chain-Monte-Carlo (MCMC) technique to the QPP detection. We use MCMC to fit the Fourier power spectral density (PSD) profiles of flaring lightcurves, aiming to determine a quasi-periodic component by model comparison and test statistics. Two models fitting the PSD were compared: the first model consists of colored and white noise only, and the second model adds a spectral peak of a Gaussian shape representing a short-living oscillatory signal. To evaluate MCMC of the QPP detection, we test it on 100 synthetic signals with spectral properties similar to those observed in flares. Subsequently, we analyzed QPP events in 699 flare signals in the 1–8 Å channel recorded by the Geostationary Operational Environmental Satellite from 2010 to 2017, including 250 B-class, 250 C-class, 150 M-class, and 49 X-class flares. Approximately 57% X-class, 39% M-class, 20% C-class, and 16% B-class flares are found to show a strong evidence of QPP, whose periods range mainly from 6.2 to 75.3 s. The results demonstrate that QPP events are easier to detect in more powerful flares. The distribution of the detected QPP periods is found to follow a logarithmic normal distribution. The distributions in the four flare classes are similar. This suggests that the established distribution is a common feature for flares of different classes.
| Item Type: | Journal Article | |||||||||||||||||||||
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| Subjects: | Q Science > QB Astronomy Q Science > QC Physics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | |||||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Solar flares, Solar activity -- Research, Solar oscillations -- Research | |||||||||||||||||||||
| Journal or Publication Title: | The Astrophysical Journal | |||||||||||||||||||||
| Publisher: | Institute of Physics Publishing, Inc. | |||||||||||||||||||||
| ISSN: | 0004-637X | |||||||||||||||||||||
| Official Date: | 9 February 2023 | |||||||||||||||||||||
| Dates: |
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| Volume: | 944 | |||||||||||||||||||||
| Number: | 1 | |||||||||||||||||||||
| Number of Pages: | 9 | |||||||||||||||||||||
| Article Number: | 16 | |||||||||||||||||||||
| DOI: | 10.3847/1538-4357/acb34f | |||||||||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||||||||
| Publication Status: | Published | |||||||||||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||||||||
| Date of first compliant deposit: | 8 March 2023 | |||||||||||||||||||||
| Date of first compliant Open Access: | 9 March 2023 | |||||||||||||||||||||
| RIOXX Funder/Project Grant: |
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