0586940 - ASÚ 2025 RIV FR eng J - Journal Article
Schwartz, P. - Gunár, Stanislav - Koza, J. - Heinzel, Petr
The diversity of spectral shapes of hydrogen Lyman lines and Mg ii lines in a quiescent prominence.
Astronomy & Astrophysics. Roč. 684, April (2024), č. článku A197. ISSN 0004-6361. E-ISSN 1432-0746
R&D Projects: GA ČR(CZ) GA22-34841S
Grant - others:AV ČR(CZ) SAV-18-03
Program: Bilaterální spolupráce
Institutional support: RVO:67985815
Keywords : ii h * radiative-transfer * spectrometer * line: profiles * methods: statistical * techniques: spectroscopic * Sun: filaments * Sun: UV radiation
OECD category: Astronomy (including astrophysics,space science)
Impact factor: 5.4, year: 2023 ; AIS: 1.802, rok: 2023
Method of publishing: Open access
DOI: https://doi.org/10.1051/0004-6361/202346251

Context. Broad sets of spectroscopic observations comprising multiple lines represent an excellent opportunity for diagnostics of the properties of the prominence plasma and the dynamics of their fine structures. However, they also bring significant challenges when they are compared with synthetic spectra provided by radiative transfer modeling. Aims. In this work, we provide a statistical spectroscopic analysis of a unique dataset of coordinated prominence observations in the Lyman lines (Ly alpha to Ly delta) and the Mg II k and h lines. The observed data were obtained by the Solar Ultraviolet Measurements of Emitted Radiation (SUMER) spectrograph on board of the Solar and Heliospheric Observatory (SoHO) satellite and the Interface Region Imaging Spectrograph (IRIS) on 22 October 2013. Only a few similar coordinated datasets of Lyman and Mg II k and h observations have ever been obtained in prominences and we present here the first analysis using these two sets of spectral lines. Moreover, for the first time, we assess the influence of noise on the statistical properties of the studied profile characteristics. Methods. We focus on the following profile characteristics: the shape of the observed line profiles based on the number of distinct peaks, the integrated line intensity, the center-to-peak ratio describing the depth of the reversal of two-peaked profiles, and the asymmetry of these peaks. Results. We show that the presence of noise has a negligible effect on the integrated intensity of all observed lines, but it significantly affects the classification of spectral profiles using the number of distinct peaks, the reversal depth, and also the peak asymmetry. We also demonstrate that by taking the influence of noise into account, we can assess which profile characteristics in which spectral lines are suitable for diagnostics of different properties of the observed prominence.
Permanent Link: https://hdl.handle.net/11104/0354801