Issue |
A&A
Volume 665, September 2022
|
|
---|---|---|
Article Number | A29 | |
Number of page(s) | 8 | |
Section | The Sun and the Heliosphere | |
DOI | https://doi.org/10.1051/0004-6361/202243120 | |
Published online | 05 September 2022 |
Spatial distribution of jets in solar active regions
1
ETH-Zurich, Hönggerberg Campus, HIT building, Zürich, Switzerland
e-mail: krzysztof.barczynski@pmodwrc.ch
2
PMOD/WRC, Dorfstrasse 33, 7260 Davos Dorf, Switzerland
3
University of Applied Sciences and Arts Northwestern Switzerland, Bahnhofstrasse 6, 5210 Windisch, Switzerland
4
Space Science Laboratory, University of California, Berkeley, CA 94720-7450, USA
Received:
14
January
2022
Accepted:
22
June
2022
Context. Solar active regions are known to have jets. These jets are associated with heating and the release of particles into the solar wind.
Aims. Our aim is to understand the spatial distribution of coronal jets within active regions to understand if there is a preferential location for them to occur.
Methods. We analysed five active regions using Solar Dynamics Observatory Atmospheric Imaging Assembly data over a period of 2–3.5 days when the active regions were close to disk centre. Each active region had a different age, magnetic field strength, and topology. We developed a methodology for determining the position and length of the jets.
Results. Jets are observed more frequently at the edges of the active regions and are more densely located around a strong leading sunspot. The number of coronal jets for our active regions is dependent on the age of the active region. The older active regions produce more jets than younger ones. Jets were observed dominantly at the edges of the active regions, and not as frequently in the centre. The number of jets is independent of the average unsigned magnetic field and total flux density in the whole active region. The jets are located around the edges of the strong leading sunspot.
Key words: Sun: corona / Sun: activity / Sun: magnetic fields / methods: observational / methods: statistical
© J. Odermatt et al. 2022
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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