Abstract Details

Name: Satish Chandra
Affiliation: Pt. Prithi Nath (PG) College, Kanpur
Conference ID: ASI2026_297
Title: Study of Long Term Radial Differential Rotation using Multi-Wavelength Radio Data
Abstract Type: Poster
Abstract Category: Sun, Solar System, Exoplanets, and Astrobiology
Author(s) and Co-Author(s) with Affiliation: Satish Chandra(Pt. Prithi Nath (PG) College, Kanpur), Vivek Kumar Singh(Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj), Ved Prakash Gupta(Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj), Prashant Khare(Pt. Prithi Nath (PG) College, Kanpur)
Abstract: The Sun emits radiation across a broad spectrum, ranging from long radio waves to short X-rays. These emissions originate at different heights within the solar atmosphere, particularly the transition region and the corona. Solar radio radiation, in particular, serves as a valuable diagnostic tool and potential precursor for understanding solar activity and cyclic variations. Its modulation, observable across radio, ultraviolet, and X-ray wavelengths, provides insights into the dynamics of solar rotation and related phenomena. In this study, the solar rotation period has been estimated by analyzing annual time series of integrated radio flux data recorded at multiple wavelengths, including 30 cm, 15 cm, 10.7 cm, 8 cm, and 3.2 cm. The dataset, obtained from the LASP Interactive Solar Irradiance Datacenter (LISIRD), spans from 1952 to 2025 and encompasses more than six complete solar cycles. Since these emissions originate from different atmospheric layers, they offer a multi-height perspective on solar rotation. To detect periodic oscillations in the flux data, Lomb–Scargle periodogram analysis has been employed. The derived rotational profiles are systematically correlated with established solar activity indicators, such as the sunspot cycle (Schwabe cycle) and the magnetic Hale cycle. The results validate both radial differential rotation and phases of near-rigid rotation across solar cycles 19 through 25, including the ongoing cycle. Furthermore, the study highlights the interrelationship between solar rotation dynamics and long-term cyclic behavior, reinforcing the role of radio flux modulation as a diagnostic of solar variability.