Coronal mass ejection imaging


This page is dedicated to remote sensing of solar coronal mass ejections (CMEs), and the demonstration of real-time models.


Beacon2Science: Enhancing STEREO/HI beacon data with machine learning for efficient CME tracking

Click on the figure above to see a movie of the last 7 days of beacon data/beacon2science product.

The "Beacon2Science" pipeline (Beacon2Science, Le Louëdec+ 2025), automatically enhances the quality and spatial and temporal resolution of near-real-time beacon HI1 data from STEREO-A. The new data can be used to track CME and be used with (ELEvoHI, Amerstorfer+ 2021). Our automatic detection method for the CME fronts is called Solar Transient Recognition Using Deep Learning (STRUDL, Bauer+ 2025).