Detecting coronal mass ejections with machine learning methods

TL;DR

This paper explores using machine learning on high-resolution solar spectra to detect coronal mass ejections, aiming to extend CME detection techniques from the Sun to other stars.

Contribution

It introduces a novel approach combining solar spectral data and machine learning to identify stellar CMEs, which are difficult to detect with traditional methods.

Findings

Potential to identify stellar CMEs using solar spectral analysis

Machine learning can assist in automating CME detection

Extends solar CME detection techniques to other stars

Abstract

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.