2015
DOI: 10.1088/0004-637x/798/2/108
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Quasi-Periodic Pulsations in Solar and Stellar Flares: Re-Evaluating Their Nature in the Context of Power-Law Flare Fourier Spectra

Abstract: The nature of quasi-periodic pulsations in solar and stellar flares remains debated. Recent work has shown that power-law-like Fourier power spectra, also referred to as 'red' noise processes, are an intrinsic property of solar and stellar flare signals, a property that many previous studies of this phenomenon have not accounted for. Hence a re-evaluation of the existing interpretations and assumptions regarding QPP is needed. Here we adopt a Bayesian method for investigating this phenomenon, fully considering… Show more

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Cited by 81 publications
(131 citation statements)
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“…Several articles, particularly in the context of quasi-periodic pulsations (QPPs) associated with solar flares, now incorporate the fundamental power-law nature of power spectra in the analysis of coronal time series, but they use several different approaches (e.g. Ireland, McAteer, and Inglis, 2015;Inglis, Ireland, and Dominique, 2015;Auchère et al, 2016;Pugh, Broomhall, and Nakariakov, 2017). We based our analysis on Auchère et al (2016), who proposed a new method for deriving global confidence levels, and we tested it (together with an appropriate background-noise model) using long, high-cadence light curves derived from specific SDO/AIA observations.…”
Section: Periodic Signal Analysis Of Sdo/aia Data Using the Red-noisementioning
confidence: 99%
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“…Several articles, particularly in the context of quasi-periodic pulsations (QPPs) associated with solar flares, now incorporate the fundamental power-law nature of power spectra in the analysis of coronal time series, but they use several different approaches (e.g. Ireland, McAteer, and Inglis, 2015;Inglis, Ireland, and Dominique, 2015;Auchère et al, 2016;Pugh, Broomhall, and Nakariakov, 2017). We based our analysis on Auchère et al (2016), who proposed a new method for deriving global confidence levels, and we tested it (together with an appropriate background-noise model) using long, high-cadence light curves derived from specific SDO/AIA observations.…”
Section: Periodic Signal Analysis Of Sdo/aia Data Using the Red-noisementioning
confidence: 99%
“…A growing recent consensus (e.g. Inglis, Ireland, and Dominique, 2015;Ireland, McAteer, and Inglis, 2015;Auchère et al, 2016) strongly cautions against the application of white-noise confidence levels for similar time series that have also been detrended, in the context of solar oscillations.…”
Section: Recovery Of Periodic Signaturesmentioning
confidence: 99%
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