Power-law Distribution of Solar Cycle–modulated Coronal Jets

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 sam...

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Main Authors: Jiajia Liu, Anchuan Song, David B. Jess, Jie Zhang, Mihalis Mathioudakis, Szabolcs Soós, Francis P. Keenan, Yuming Wang, Robertus Erdélyi
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Online Access:https://doi.org/10.3847/1538-4365/acc85a
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author Jiajia Liu
Anchuan Song
David B. Jess
Jie Zhang
Mihalis Mathioudakis
Szabolcs Soós
Francis P. Keenan
Yuming Wang
Robertus Erdélyi
author_facet Jiajia Liu
Anchuan Song
David B. Jess
Jie Zhang
Mihalis Mathioudakis
Szabolcs Soós
Francis P. Keenan
Yuming Wang
Robertus Erdélyi
author_sort Jiajia Liu
collection DOAJ
description 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 have been revealed between the intensity/energy and frequency of these events, with indices found to be analogous to those for flares and coronal mass ejections (CMEs). These jets are also found to be spatially and temporally modulated by the solar cycle, forming a butterfly diagram in their latitudinal-temporal evolution, experiencing quasi-annual oscillations in their analyzed properties, and very likely gathering in certain active longitudinal belts. Our results show that coronal jets display the same nonlinear behavior as that observed in flares and CMEs, in solar and stellar atmospheres, strongly suggesting that they result from the same nonlinear statistics of scale-free processes as their counterparts in different scales of eruptive events. Although these jets, like flares and other large-scale dynamic phenomena, are found to be significantly modulated by the solar cycle, their corresponding power-law indices still remain similar.
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spelling doaj.art-e8b413a38fcb471c8848751d2ae712e52023-09-03T09:45:01ZengIOP PublishingThe Astrophysical Journal Supplement Series0067-00492023-01-0126611710.3847/1538-4365/acc85aPower-law Distribution of Solar Cycle–modulated Coronal JetsJiajia Liu0https://orcid.org/0000-0003-2569-1840Anchuan Song1https://orcid.org/0000-0002-3237-3819David B. Jess2https://orcid.org/0000-0002-9155-8039Jie Zhang3https://orcid.org/0000-0003-0951-2486Mihalis Mathioudakis4https://orcid.org/0000-0002-7725-6296Szabolcs Soós5https://orcid.org/0000-0002-3606-161XFrancis P. Keenan6https://orcid.org/0000-0001-5435-1170Yuming Wang7https://orcid.org/0000-0002-8887-3919Robertus Erdélyi8https://orcid.org/0000-0003-3439-4127Deep Space Exploration Lab/School of Earth and Space Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of China jiajialiu@ustc.edu.cn, ymwang@ustc.edu.cn; Astrophysics Research Centre, School of Mathematics and Physics, Queen’s University Belfast , Belfast, BT7 1NN, UK; CAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaCAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of China; CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaAstrophysics Research Centre, School of Mathematics and Physics, Queen’s University Belfast , Belfast, BT7 1NN, UK; Department of Physics and Astronomy, California State University Northridge , Northridge, CA 91330, USADepartment of Physics and Astronomy, George Mason University , Fairfax, VA 22030, USAAstrophysics Research Centre, School of Mathematics and Physics, Queen’s University Belfast , Belfast, BT7 1NN, UKDepartment of Astronomy, Eötvös Loránd University , Budapest, Pázmány P. sétány 1/A, H-1117, Hungary ; robertus@sheffield.ac.ukAstrophysics Research Centre, School of Mathematics and Physics, Queen’s University Belfast , Belfast, BT7 1NN, UKDeep Space Exploration Lab/School of Earth and Space Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of China jiajialiu@ustc.edu.cn, ymwang@ustc.edu.cn; CAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of China; CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaDepartment of Astronomy, Eötvös Loránd University , Budapest, Pázmány P. sétány 1/A, H-1117, Hungary ; robertus@sheffield.ac.uk; Solar Physics and Space Plasma Research Centre (SP2RC), School of Mathematics and Statistics, The University of Sheffield , Sheffield, S3 7RH, UK; Gyula Bay Zoltán Solar Observatory (GSO), Hungarian Solar Physics Foundation (HSPF) , Petőfi tér 3, Gyula, H-5700, HungaryPower-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 have been revealed between the intensity/energy and frequency of these events, with indices found to be analogous to those for flares and coronal mass ejections (CMEs). These jets are also found to be spatially and temporally modulated by the solar cycle, forming a butterfly diagram in their latitudinal-temporal evolution, experiencing quasi-annual oscillations in their analyzed properties, and very likely gathering in certain active longitudinal belts. Our results show that coronal jets display the same nonlinear behavior as that observed in flares and CMEs, in solar and stellar atmospheres, strongly suggesting that they result from the same nonlinear statistics of scale-free processes as their counterparts in different scales of eruptive events. Although these jets, like flares and other large-scale dynamic phenomena, are found to be significantly modulated by the solar cycle, their corresponding power-law indices still remain similar.https://doi.org/10.3847/1538-4365/acc85aSolar cycleSolar coronal transientsSolar atmosphereThe Sun
spellingShingle Jiajia Liu
Anchuan Song
David B. Jess
Jie Zhang
Mihalis Mathioudakis
Szabolcs Soós
Francis P. Keenan
Yuming Wang
Robertus Erdélyi
Power-law Distribution of Solar Cycle–modulated Coronal Jets
The Astrophysical Journal Supplement Series
Solar cycle
Solar coronal transients
Solar atmosphere
The Sun
title Power-law Distribution of Solar Cycle–modulated Coronal Jets
title_full Power-law Distribution of Solar Cycle–modulated Coronal Jets
title_fullStr Power-law Distribution of Solar Cycle–modulated Coronal Jets
title_full_unstemmed Power-law Distribution of Solar Cycle–modulated Coronal Jets
title_short Power-law Distribution of Solar Cycle–modulated Coronal Jets
title_sort power law distribution of solar cycle modulated coronal jets
topic Solar cycle
Solar coronal transients
Solar atmosphere
The Sun
url https://doi.org/10.3847/1538-4365/acc85a
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AT mihalismathioudakis powerlawdistributionofsolarcyclemodulatedcoronaljets
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AT francispkeenan powerlawdistributionofsolarcyclemodulatedcoronaljets
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