Robust sparse image reconstruction of radio interferometric observations with PURIFY
Robust sparse image reconstruction of radio interferometric observations with PURIFY
复制标题
使用 PURIFY 进行射电干涉观测的鲁棒稀疏图像重建
DOI：
10.1093/mnras/stx2237
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发表时间：
2016
影响因子：
4.8
通讯作者：
Y. Wiaux
中科院分区：
文献类型：
--
作者：
L. Pratley;J. McEwen;Mayeul d'Avezac;R. Carrillo;Alexandru Onose;Y. Wiaux
下一代无线电干涉仪，如平方公里阵列，将通过其前所未有的灵敏度和分辨率彻底改变我们对宇宙的理解。然而，为了实现这些目标，需要克服图像和数据处理方面的重大挑战。无线电干涉测量中用于重建图像的标准方法，如CLEAN，在过去几十年中为社区提供了很好的服务，并且在很大程度上因为它们是实用的而得以生存。然而，它们产生的重建干涉图像在质量和大数据的可扩展性方面受到限制。在这项工作中，我们应用和评估替代干涉重建方法，利用国家的最先进的稀疏图像重建算法的压缩感知，这已经实现了在PURIFY软件包。特别是，我们实现和应用最近的文章中提出的乘子算法的近端交替方向法。首先，我们评估用于执行网格化和去网格化的插值内核对稀疏图像重建的影响。我们发现，凯撒-贝塞尔插值内核执行以及长椭球波函数，同时提供了一个计算节省和分析形式。其次，我们将PURIFY应用于超大阵和澳大利亚望远镜紧凑阵的真实的干涉观测，发现PURIFY恢复的图像质量比CLEAN恢复的图像质量更高。第三，我们讨论了PURIFY重建如何表现出比CLEAN恢复的额外优势。PURIFY的最新版本，以及这项工作中提出的发展，是公开提供的。
Next-generation radio interferometers, such as the Square Kilometre Array, will revolutionize our understanding of the Universe through their unprecedented sensitivity and resolution. However, to realize these goals significant challenges in image and data processing need to be overcome. The standard methods in radio interferometry for reconstructing images, such as CLEAN, have served the community well over the last few decades and have survived largely because they are pragmatic. However, they produce reconstructed interferometric images that are limited in quality and scalability for big data. In this work, we apply and evaluate alternative interferometric reconstruction methods that make use of state-of-the-art sparse image reconstruction algorithms motivated by compressive sensing, which have been implemented in the PURIFY software package. In particular, we implement and apply the proximal alternating direction method of multipliers algorithm presented in a recent article. First, we assess the impact of the interpolation kernel used to perform gridding and degridding on sparse image reconstruction. We find that the Kaiser-Bessel interpolation kernel performs as well as prolate spheroidal wave functions while providing a computational saving and an analytic form. Secondly, we apply PURIFY to real interferometric observations from the Very Large Array and the Australia Telescope Compact Array and find that images recovered by PURIFY are of higher quality than those recovered by CLEAN. Thirdly, we discuss how PURIFY reconstructions exhibit additional advantages over those recovered by CLEAN. The latest version of PURIFY, with developments presented in this work, is made publicly available.
影响因子：
6.5
作者：
van Haarlem, M. P.;Wise, M. W.;van Zwieten, J.
通讯作者：
van Zwieten, J.