Estimating Electron Densities in the Middle Solar Corona using White-light and Radio Observations
Surajit Mondal, Shaheda Begum Shaik, Russell A. Howard, Peijin Zhang, Bin Chen, Xingyao Chen, Sijie Yu, Dale Gary, Marin M. Anderson, Judd D. Bowman, Ruby Byrne, Morgan Catha, Sherry Chhabra, Larry D Addario, Ivey Davis, Jayce Dowell, Gregg Hallinan, Charlie Harnach, Greg Hellbourg, Jack Hickish, Rick Hobbs, David Hodge, Mark Hodges, Yuping Huang, Andrea Isella, Daniel C. Jacobs, Ghislain Kemby, John T. Klinefelter, Matthew Kolopanis, Nikita Kosogorov, James Lamb, Casey Law, Nivedita Mahesh, Brian O Donnell, Corey Posner, Travis Powell, Vinand Prayag, Andres Rizo, Andrew Romero Wolf, Jun Shi, Greg Taylor, Jordan Trim, Mike Virgin, Akshatha Vydula, Sandy Weinreb, Scott White, David Woody, Thomas Zentmeyer
TL;DR
This study uses low-frequency OVRO-LWA radio imaging to estimate coronal electron densities in the middle corona (1.7–3.5 R_), providing an independent diagnostic that complements white-light pB inversions and a data-driven MAS MHD model. Radio densities are obtained via an iterative, hydrostatic-approximation approach that accounts for ray refraction and uses brightness temperature as a diagnostic, yielding densities that agree with white-light results within about a factor of two. A representative density model is derived: $n_e(r)=10^6\ \text{cm}^{-3}[1.27(r/R_)^{-2}+29.02(r/R_)^{-4}+71.18(r/R_)^{-6}]$, valid from 1.7 to 3.5 R_, and the results are cross-validated against MAS predictions and standard density prescriptions (Leblanc, Saito, Newkirk). The work demonstrates that OVRO-LWA can routinely provide robust, independent coronal density estimates in a region poorly covered by traditional imaging, filling a crucial observational gap and enabling long-term monitoring of the quiescent corona.
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 $1.7-3.5R_\odot$, 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--3.5 $r_\odot$ and is given by $ρ(r')=1.27r'^{-2}+29.02r'^{-4}+71.18r'^{-6}$, where $r'=r/R_\odot$, and $r$ is 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.
