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Detecting coronal mass ejections with machine learning methods

Published online by Cambridge University Press:  23 December 2024

K. Vida*
Affiliation:
Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary CSFK, MTA Centre of Excellence, Budapest, Hungary
B. Seli
Affiliation:
Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary CSFK, MTA Centre of Excellence, Budapest, Hungary
T. Szklenár
Affiliation:
Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary CSFK, MTA Centre of Excellence, Budapest, Hungary
L. Kriskovics
Affiliation:
Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary CSFK, MTA Centre of Excellence, Budapest, Hungary
A. Görgei
Affiliation:
Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary CSFK, MTA Centre of Excellence, Budapest, Hungary Eötvös University, Department of Astronomy, Budapest, Hungary
Zs. Kövári
Affiliation:
Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary CSFK, MTA Centre of Excellence, Budapest, Hungary
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Abstract

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Flares on the Sun are often associated with ejected plasma: these events are known as coronal mass ejections (CMEs). These events, although are studied in detail on the Sun, have only a few dozen known examples on other stars, mainly detected using the Doppler-shifted absorption/emission features in Balmer lines and tedious manual analysis. We present a possibility to find stellar CMEs with the help of high-resolution solar spectra.

Type
Poster Paper
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Astronomical Union

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