A Novel Technique for the Extraction of Dynamic Events in Extreme Ultraviolet Solar Images

Simple item page
dc.contributor.authorKalenská, Petracs
dc.contributor.authorRajmic, Pavelcs
dc.contributor.authorGebrtová, Karolínacs
dc.contributor.authorDruckmüller, Miloslavcs
dc.coverage.issue1cs
dc.coverage.volume275cs
dc.date.accessioned2025-02-03T14:42:46Z
dc.date.available2025-02-03T14:42:46Z
dc.date.issued2024-11-07cs
dc.description.abstractHigh-spatial-resolution images of the solar corona acquired in the extreme ultraviolet (EUV), most notably with the Atmospheric Imaging Assembly (AIA) instrument on the Solar Dynamics Observatory (SDO) reveal the abundance of dynamic events which range from flaring bright points and jets to erupting prominences and coronal mass ejections (CMEs). In this work we present novel techniques to extract such dynamic events from the more steady background corona using 17.1 nm SDO-AIA images. The techniques presented here treat any time series of coronal images as a matrix that can be decomposed into two matrices representing the background and the dynamic component, respectively. The latter has the properties of a so-called sparse matrix, and the proposed methods are classified as methods based on sparse representations. The proposed methods are the median-filter method, the principal component pursuit, and the dynamic-mode decomposition, all of which include data pre-processing using the noise-adaptive fuzzy equalization method. The study reveals that the median-filter method and the dynamic-mode decomposition enhance all motions in the time series and produce similar results. On the other hand, the principal component pursuit enables the clear differentiation of CMEs from the background corona, thus providing a valuable tool for the characterization of their acceleration profiles in the low corona as seen in the EUV.en
dc.formattextcs
dc.format.extent10cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationAstrophysical Journal, Supplement Series. 2024, vol. 275, issue 1, 10 p.en
dc.identifier.doi10.3847/1538-4365/ad8633cs
dc.identifier.issn1538-4365cs
dc.identifier.orcid0000-0002-7578-3586cs
dc.identifier.orcid0000-0002-8381-4442cs
dc.identifier.orcid0000-0001-7312-2410cs
dc.identifier.other191132cs
dc.identifier.researcheridA-3467-2013cs
dc.identifier.researcheridABA-8307-2020cs
dc.identifier.scopus57221737341cs
dc.identifier.scopus14024654600cs
dc.identifier.scopus55814447000cs
dc.identifier.urihttps://hdl.handle.net/11012/249921
dc.language.isoencs
dc.publisherThe American Astronomical Societycs
dc.relation.ispartofAstrophysical Journal, Supplement Seriescs
dc.relation.urihttps://iopscience.iop.org/article/10.3847/1538-4365/ad8633cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1538-4365/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectSolar coronal mass ejectionsen
dc.subjectSolar coronaen
dc.subjectAnalytical mathematicsen
dc.subjectAstronomy softwareen
dc.subjectComputational methodsen
dc.titleA Novel Technique for the Extraction of Dynamic Events in Extreme Ultraviolet Solar Imagesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-191132en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:42:46en
sync.item.modts2025.01.29 16:32:08en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav matematikycs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Kalenska_2024_ApJS_275_15.pdf
Size:
1.77 MB
Format:
Adobe Portable Document Format
Description:
file Kalenska_2024_ApJS_275_15.pdf
Download
Collections
Ústav telekomunikací
Ústav matematiky