Tackling the Unique Challenges of Low-frequency Solar Polarimetry with the Square Kilometre Array Low Precursor: The Algorithm
Devojyoti Kansabanik, Divya Oberoi, Surajit Mondal

TL;DR
This paper introduces a robust calibration and imaging algorithm for low-frequency solar radio observations, enabling high-fidelity polarization measurements crucial for understanding coronal magnetic fields and space weather phenomena.
Contribution
The paper presents a novel, state-of-the-art algorithm based on the Measurement Equation framework for precise polarization calibration and imaging of solar radio data from SKA precursors.
Findings
Achieved instrumental polarization leakages below 1%.
Enabled detection of faint circular polarization in coronal emissions.
First-ever linear polarization detection at low radio frequencies.
Abstract
Coronal magnetic fields are well known to be one of the crucial parameters defining coronal physics and space weather. However, measuring the global coronal magnetic fields remains challenging. The polarization properties of coronal radio emissions are sensitive to coronal magnetic fields. While they can prove to be useful probes of coronal and heliospheric magnetic fields, their usage has been limited by technical and algorithmic challenges. We present a robust algorithm for precise polarization calibration and imaging of low-radio frequency solar observations and demonstrate it on data from the Murchison Widefield Array, a Square Kilometer Array (SKA) precursor. This algorithm is based on the Measurement Equation framework, which forms the basis of all modern radio interferometric calibration and imaging. It delivers high dynamic range and fidelity full Stokes solar radio images with…
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