Estimating Electron Densities in the Middle Solar Corona Using White-light and Radio Observations
Authors:
- Surajit MondalSMSurajit Mondal
- Shaheda Begum ShaikSSShaheda Begum Shaik
- Russell A. HowardRHRussell A. Howard
- Peijin沛锦Zhang张PEPeijin沛锦Zhang张
- Bin ChenBCBin Chen
- Xingyao ChenXCXingyao Chen
- Sijie YuSYSijie Yu
- Dale GaryDGDale Gary
- Marin M. AndersonMAMarin M. Anderson
- Judd D. BowmanJBJudd D. Bowman
- Ruby ByrneRBRuby Byrne
Open Access
- 6 March 2026
- journal article
- Published by American Astronomical Society in The Astrophysical Journal
- Vol. 999 (2) , 237
Abstract
The electron density of the solar corona is a fundamental parameter in many areas of solar physics. Traditionally, routine estimates of coronal density have relied exclusively on white-light observations. However, these density estimates, obtained by inverting the white-light data, require simplifying assumptions, which may affect the robustness of the measurements. Hence, to improve the reliability of coronal density measurements, it is highly desirable to explore other complementary methods. In this study, we estimate the coronal electron densities in the middle corona, between approximately 1.7 and 3.5 R ⊙ , using low-frequency radio observations from the recently commissioned Long Wavelength Array at the Owens Valley Radio Observatory (OVRO-LWA). The results demonstrate consistency with those derived from white-light coronagraph data and predictions from theoretical models. We also derive a density model valid between 1.7 and 3.5 r ⊙ , given by ρ ( r ′ ) = 1.27 r ′ − 2 + 29.02 r ′ − 4 + 71.18 r ′ − 6 , where r ′ = r / R ⊙ , with r the heliocentric distance. OVRO-LWA is a solar-dedicated radio interferometer that provides science-ready images with low latency, making it well suited for generating regular and independent estimates of coronal densities to complement existing white-light techniques.Keywords
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Funding Information
- National Science Foundation (ST-1828784)
- National Science Foundation (AGS-2436999)
- NASA Living with a Star Star Jack Eddy Postdoctoral Fellowship Program (80NSSC22M0097)
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