Multi-scale clean deconvolution for solar radio imaging with Mingantu Ultrawide Spectral Radioheliograph (MUSER)

Dong Zhao, Long Xu, Linjie Chen, Jun Cheng, Li Zhang, Yihua Yan
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引用次数: 2

Abstract

The MUSER is a solar-dedicated radio interferometric array, which will simultaneously make high time, space and frequency resolution images of the Sun. Solar radio imaging is dependent upon deconvolution algorithm to counteract the sparse sampling of the Fourier plane. Recently, the deconvolution method used in MUSER imaging is Hogbom CLEAN algorithm. This algorithm works extremely well for collections of point sources; however, for extended objects, such as the solar disk, it should be improved by adopting the multi-scale approach. In this work we employ and improve the Cornwell Multi-scale CLEAN (2008) as the deconvolution method in MUSER solar radio imaging. Experimental results demonstrate the effectiveness and efficiency of the Multi-scale CLEAN in MUSER solar radio imaging.
明安图超宽光谱太阳射电成像(MUSER)的多尺度清洁反褶积
MUSER是一个太阳专用的无线电干涉阵列,它将同时获得太阳的高时间、空间和频率分辨率图像。太阳射电成像依赖于反卷积算法来抵消傅里叶平面的稀疏采样。目前,用于MUSER成像的反卷积方法是Hogbom CLEAN算法。该算法对点源的集合非常有效;然而,对于扩展的物体,如太阳圆盘,应该通过采用多尺度方法来改进。在这项工作中,我们采用并改进了Cornwell多尺度CLEAN(2008)作为MUSER太阳射电成像的反卷积方法。实验结果证明了多尺度CLEAN在太阳射电成像中的有效性和效率。
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