An Unsupervised Machine Learning-based Algorithm for Detecting Weak Impulsive Narrowband Quiet Sun Emissions and Characterizing Their Morphology

The solar corona is extremely dynamic. Every leap in observational capabilities has been accompanied by unexpected revelations of complex dynamic processes. The ever more sensitive instruments now allow us to probe events with increasingly weaker energetics. A recent leap in the low-frequency radio...

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Veröffentlicht in:	The Astrophysical journal Jg. 954; H. 1; S. 39 - 55
Hauptverfasser:	Bawaji, Shabbir, Alam, Ujjaini, Mondal, Surajit, Oberoi, Divya, Biswas, Ayan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia The American Astronomical Society 01.09.2023 IOP Publishing
Schlagworte:	Algorithms Astrophysics Corona Coronal heating Datasets LF radio Machine learning Morphology Narrowband Quiet Sun Scattering Solar corona Solar coronal heating Solar coronal transients Solar imagery Solar radio emission Sun Unsupervised learning Wavelengths
ISSN:	0004-637X, 1538-4357
Online-Zugang:	Volltext
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