Detecting coronal mass ejections with machine learning methods

Fuente: arXiv
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Autores principales: Vida, K., Seli, B., Szklenár, T., Kriskovics, L., Görgei, A., Kővári, Zs.
Formato: Preprint
Publicado: 2024
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author Vida, K.
Seli, B.
Szklenár, T.
Kriskovics, L.
Görgei, A.
Kővári, Zs.
author_facet Vida, K.
Seli, B.
Szklenár, T.
Kriskovics, L.
Görgei, A.
Kővári, Zs.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2401_07588
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Detecting coronal mass ejections with machine learning methods
Vida, K.
Seli, B.
Szklenár, T.
Kriskovics, L.
Görgei, A.
Kővári, Zs.
Solar and Stellar Astrophysics
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.
title Detecting coronal mass ejections with machine learning methods
topic Solar and Stellar Astrophysics
url https://arxiv.org/abs/2401.07588