One year of ASPEX-SWIS operation -- Characteristic features, observations and science potential
Abhishek Kumar, Shivam Parashar, Prashant Kumar, Dibyendu Chakrabarty, Bhas Bapat, Aveek Sarkar, Manan S. Shah, Hiteshkumar L. Adalja, Arpit R. Patel, Pranav R. Adhyaru, M. Shanmugam, Swaroop B. Banerjee, K.P. Subramaniam, Tinkal Ladiya, Jacob Sebastian, Bijoy Dalal

TL;DR
The paper evaluates the performance and scientific potential of the ASPEX-SWIS instrument onboard India's Aditya-L1 solar observatory, demonstrating its capability to monitor solar wind features and turbulence through one year of observations.
Contribution
This study provides the first comprehensive assessment of AL1-ASPEX-SWIS performance and its ability to observe solar wind phenomena, including detailed case studies and statistical comparisons with other missions.
Findings
SWIS measurements closely match Wind and DSCOVR data.
Successfully captured dynamic solar wind features during ICME event.
Spectral analysis confirms MHD turbulence in solar wind data.
Abstract
The Aditya-L1 mission, India's first dedicated solar observatory positioned at the first Lagrange point (L1) of the Sun-Earth system, carries the Solar Wind Ion Spectrometer (SWIS) as part of the ASPEX payload suite. Even before settling into its Halo orbit, SWIS has been providing nearly continuous in-situ measurements of solar wind ion spectra. Moments of the velocity distribution functions (VDFs) have been calculated to derive key solar wind parameters such as density, bulk speed, and temperature. In this study, we assess the performance of SWIS (hereafter referred to as AL1-ASPEX-SWIS) by comparing its measurements with contemporaneous data from the Wind and DSCOVR missions. In this study, we assess the performance of SWIS (hereafter referred to as AL1-ASPEX-SWIS) by comparing its measurements with contemporaneous data from the Wind and DSCOVR missions. A detailed case study of the…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Astronomical Observations and Instrumentation · Computational Physics and Python Applications
