论文标题
用于高动态范围太阳成像的校准算法的工作原理与平方公里阵列前体
Working Principle of the Calibration Algorithm for High Dynamic Range Solar Imaging with Square Kilometre Array Precursor
论文作者
论文摘要
成像低频无线电太阳是一个本质上具有挑战性的问题。仪表波长太阳发射跨越了几个弧形到几个度的角度尺度。这些排放显示在亚秒和亚MHz量表上的时间和光谱变异性。这些排放的亮度温度也随许多数量级而变化，这需要高动力范围的光谱快照成像。借助Murchison广场阵列（MWA）的独特阵列配置以及可靠的校准和成像管道，用于无线电太阳（Aircars）的紧凑阵列的自动成像例程可产生迄今为止可用的最佳光谱快照太阳能图像。使用统计分析和模拟证明了该算法的工作原理和强度。空中电脑使用MWA的部分相位稳定性，MWA具有紧凑的核心，其中有大量的天线元件分布在小阵列足迹上。该算法的强度使其成为低频太阳成像的最先进的校准和成像管道，预计该成像非常适合即将到来的平方公里阵列（SKA）和其他未来的无线电干涉仪，用于产生高动态范围和太阳的高利益图像。
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.
