| Issue |
A&A
Volume 708, April 2026
|
|
|---|---|---|
| Article Number | A358 | |
| Number of page(s) | 8 | |
| Section | The Sun and the Heliosphere | |
| DOI | https://doi.org/10.1051/0004-6361/202557268 | |
| Published online | 27 April 2026 | |
Coronal mass ejection plasma diagnostics using Metis coronagraph
Deriving physical parameters of an erupting prominence from simultaneous visible-light and UV observations
1
Faculty of Education, University of Ljubljana, Kardeljeva ploščad 16, 1000 Ljubljana, Slovenia
2
Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, 1000 Ljubljana, Slovenia
3
Astronomical Institute, The Czech Academy of Sciences, 25165 Ondřejov, Czech Republic
4
Center of Excellence – Solar and Stellar Activity, University of Wroclaw, Kopernika 11, 51622 Wroclaw, Poland
5
INAF – Osservatorio Astronomico di Capodimonte, Salita Moiariello 16, 80131 Napoli, Italy
6
INAF – Turin Astrophysical Observatory, Via Osservatorio 20, 10025 Pino Torinese, TO, Italy
7
University of Firenze, Firenze, Italy
8
INAF – Osservatorio Astrofisico di Arcetri, Firenze, Italy
9
INAF – Osservatorio Astrofisico di Catania, Via Santa Sofia 78, 95123 Catania, Italy
10
Institute of Physics, University of Graz, Universitätsplatz 5, 8010 Graz, Austria
11
INAF – Osservatorio Astronomico di Trieste, Via G.B. Tiepolo, 11, I-34143 Trieste, Italy
★ Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
16
September
2025
Accepted:
16
March
2026
Abstract
Context. We investigate the physical conditions of erupting prominences embedded in coronal mass ejection (CME) cores.
Aims. The physical parameters of interest were derived by combining the hydrogen Lyman α (Lα) and visible-light (VL) images simultaneously observed by Solar Orbiter/Metis. In particular, we focus on the bright CME event that occurred on April 25-26, 2021.
Methods. Our method is based on 2D non-LTE (i.e. non-local thermodynamic equilibrium) modeling of moving structures to derive the integrated intensity of the Lα line (ELα), together with VL emission. Our method is based on a novel diagnostic tool that combines the emission measure (EM) at a given temperature derived from the observed Lα intensity with the electron column density (Ne) obtained from VL Stokes I and Q data. This approach determines the electron density (ne) and the effective thickness (Deff) inside the prominence structure. Here, we use a similar diagnostic tool to the one that we proposed for solar eclipses by combining hydrogen Balmer α (Hα) and VL data in previous studies.
Results. We analyzed 32 spatial points within the northern part of the prominence. We ran a 2D non-LTE transfer code for these points by assuming a uniform prominence temperature. The results are presented as 2D maps of the electron density and effective thickness at a given temperature. For the brightest pixel, we also estimated the temperature by assuming collisional ionization equilibrium and compared the result with our value obtained using the emission-measure method.
Conclusions. We demonstrate how ne and Deff inferences depend on the temperature of the structure. The higher the temperature, the lower the effective thickness, and the higher the electron density. This study creates foundation for future diagnostics of eruptive prominences with the Solar Orbiter/Metis coronagraph. It shows that combined UV and VL diagnostics provides a powerful tool for analyzing such events. But it also confirms that the consideration of the helium D3 line emission within the VL channel is essential to obtain accurate results.
Key words: Sun: atmosphere / Sun: coronal mass ejections (CMEs) / Sun: filaments / prominences / Sun: UV radiation
© The Authors 2026
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. This email address is being protected from spambots. You need JavaScript enabled to view it. to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.