Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18230
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dc.contributor.authorAggarwal, Keshaven_US
dc.contributor.authorDatta, Abhirupen_US
dc.date.accessioned2026-05-14T12:28:18Z-
dc.date.available2026-05-14T12:28:18Z-
dc.date.issued2026-
dc.identifier.citationAggarwal, 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.2026.03.059en_US
dc.identifier.issn0273-1177-
dc.identifier.otherEID(2-s2.0-105034579885)-
dc.identifier.urihttps://dx.doi.org/10.1016/j.asr.2026.03.059-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/18230-
dc.description.abstractWe 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.isoenen_US
dc.publisherElsevier Ltden_US
dc.sourceAdvances in Space Researchen_US
dc.titleA generalized method for estimating solar wind speeds and densities using spectral broadening for a Kolmogorov turbulence spectrumen_US
dc.typeJournal Articleen_US
dc.rights.licenseAll Open Access-
dc.rights.licenseGreen Open Access-
Appears in Collections:Department of Astronomy, Astrophysics and Space Engineering

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