Analysis of Lyman-beta and Lyman-gamma Lines in a Pre-Eruptive and Eruptive Prominence with Solar Orbiter SPICE Observations
Yong Zhang (1), Nicolas Labrosse (1), Susanna Parenti (2), Therese A. Kucera (3) ((1) SUPA School of Physics, Astronomy, University of Glasgow, Glasgow G12 8QQ UK, (2) Institut d'Astrophysique Spatiale, Bat 121, Universit\'e Paris-Saclay/CNRS 91405 Orsay Cedex France

TL;DR
This study utilizes Solar Orbiter SPICE observations to analyze Lyman-beta and gamma lines in a prominence, revealing dynamic plasma changes and enabling early eruption velocity estimation.
Contribution
It demonstrates the diagnostic potential of Lyman line analysis in prominences and introduces a simple geometric model for early eruption velocity determination.
Findings
Variations in Lyman line intensities and widths reflect changes in plasma density, temperature, and optical thickness.
Spatial and temporal evolution of line profiles indicates dynamic prominence conditions.
A geometric model estimates the prominence's radial velocity during eruption onset.
Abstract
The first dedicated observation of an off-limb prominence by the Spectral Imaging of the Coronal Environment (SPICE) instrument on board Solar Orbiter took place on April 15, 2023. Our aim is to provide an overview of the potentiality of the diagnostics using these data. We show that we can derive the changes in the physical parameters of the pre-eruptive and eruptive prominence using the Lyman lines. We investigate the integrated intensity and line widths of the Lyman and Lyman lines, finding variations between the prominence, disk, and coronal regions. The results reflect dynamic changes in density, temperature, and optical thickness. We analyze the spatial and temporal evolution of the Lyman and Lyman line profiles. Using a simple geometric model, we obtain the radial velocity of this prominence at the early phase of its eruption with GONG H…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
