2023
DOI: 10.3847/1538-4365/acc85a
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Power-law Distribution of Solar Cycle–modulated Coronal Jets

Abstract: Power-law distributions have been studied as a significant characteristic of nonlinear dissipative systems. Since discovering the power-law distribution of solar flares that was later extended to nanoflares and stellar flares, it has been widely accepted that different scales of flares share the same physical process. Here we present the newly developed semiautomated jet identification algorithm and its application for detecting more than 1200 off-limb solar jets during Solar Cycle 24. Power-law distributions … Show more

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Cited by 4 publications
(12 citation statements)
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References 88 publications
(118 reference statements)
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“…To confirm and refine what Liu et al (2023) found, this work now extends their approach by applying a more extensive set of diagnostics to a larger number of jets. Therefore, our aims are to (i) map the fine structure of the jet distribution, (ii) search for solar cycle variation in the characteristic parameters of the jets, and (iii) further support (or refute) the existence of the conjecture of active longitude with analyzing jets.…”
Section: Introductionmentioning
confidence: 78%
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“…To confirm and refine what Liu et al (2023) found, this work now extends their approach by applying a more extensive set of diagnostics to a larger number of jets. Therefore, our aims are to (i) map the fine structure of the jet distribution, (ii) search for solar cycle variation in the characteristic parameters of the jets, and (iii) further support (or refute) the existence of the conjecture of active longitude with analyzing jets.…”
Section: Introductionmentioning
confidence: 78%
“…For our analysis, the data provided by the Solar Dynamics Observatory/Atmospheric Imaging Assembly (SDO/AIA, Lemen et al 2012) instrument at the 304 Å were applied. The semiautomated identification algorithm of off-limb coronal jets (SAJIA) to automatically detect jets was used, as presented by Liu et al (2023).…”
Section: Methodsmentioning
confidence: 99%
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