  Imaging the low-frequency radio Sun is an intrinsically challenging problem.
Meter-wavelength solar emission spans angular scales from a few arcminutes to a
few degrees. These emissions show temporal and spectral variability on a
sub-second and sub-MHz scales. The brightness temperature of these emissions
also varies by many orders of magnitude, which requires high-dynamic-range
spectroscopic snapshot imaging. With the unique array configuration of the
Murchison Widefield Array (MWA), and the robust calibration and imaging
pipeline, Automated Imaging Routine for the Compact Arrays for the Radio Sun
(AIRCARS) produces the best spectroscopic snapshot solar images available to
date. The working principle and the strength of this algorithm are demonstrated
using statistical analysis and simulation. AIRCARS uses the partial phase
stability of the MWA, which has a compact core with a large number of antenna
elements distributed over a small array footprint. The strength of this
algorithm makes it a state-of-the-art calibration and imaging pipeline for
low-frequency solar imaging, which is expected to be highly suitable for the
upcoming Square Kilometre Array (SKA) and other future radio interferometers
for producing high-dynamic-range and high-fidelity images of the Sun.
