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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Aggarwal, Keshav | en_US |
| dc.contributor.author | Datta, Abhirup | en_US |
| dc.date.accessioned | 2026-05-14T12:28:18Z | - |
| dc.date.available | 2026-05-14T12:28:18Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Aggarwal, K., Choudhary, Datta, A., Roopa, Imamura, T., & Ando, H. (2026). A generalized method for estimating solar wind speeds and densities using spectral broadening for a Kolmogorov turbulence spectrum. Advances in Space Research. https://doi.org/10.1016/j.asr.2026.03.059 | en_US |
| dc.identifier.issn | 0273-1177 | - |
| dc.identifier.other | EID(2-s2.0-105034579885) | - |
| dc.identifier.uri | https://dx.doi.org/10.1016/j.asr.2026.03.059 | - |
| dc.identifier.uri | https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18230 | - |
| dc.description.abstract | We present a unified method to derive both solar wind velocities and coronal electron densities in the near-Sun corona using Doppler spectral broadening of spacecraft radio signals. The method is generalized to be frequency independent under the assumption that electron density fluctuations follow a Kolmogorov spectrum. We validate the approach using S-band data from India’s Mars Orbiter Mission during the October 2021 superior conjunction at 5–8 R⊙, and X-band data from Japan’s Akatsuki during June 2016 and October 2022 conjunctions spanning 1.4–10 R⊙. From S-band we obtained wind speeds of 100–150 km s−1 and electron densities of order (Formula presented) m−3. X-band results show speeds ranging from (Formula presented) 150 km s−1 near the equator to (Formula presented) 400 km s−1 in coronal-hole regions, with consistent radial trends in density. We provide a compact, frequency-scaled relation that maps Doppler spectral width to both v and (Formula presented). The formulation enables consistent application across telecommunication bands and complements in situ probes for coronal plasma studies. © 2026 COSPAR. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_US |
| dc.source | Advances in Space Research | en_US |
| dc.title | A generalized method for estimating solar wind speeds and densities using spectral broadening for a Kolmogorov turbulence spectrum | en_US |
| dc.type | Journal Article | en_US |
| dc.rights.license | All Open Access | - |
| dc.rights.license | Green Open Access | - |
| Appears in Collections: | Department of Astronomy, Astrophysics and Space Engineering | |
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