SKA宽视场高动态成像数据处理关键技术研究

即将启动建设的平方公里阵列射电望远镜（SKA）是天文学家迄今建造的最大科学实验装置，有望为人类探索和认识宇宙带来革命性的发现。科学数据处理器（SDP）工作包是我国参与SKA的6个工作包之一，所涉及的核心算法与关键技术是开展后期科学研究的基础。本项目充分利用团队在天文与计算机交叉学科上的优势，以突破SKA-SDP宽视场高动态成像及高性能处理关键技术为目标，重点开展宽视场高动态成像关键算法、基于贝叶斯统计的天空模型建模方法、基于压缩感知的干涉阵成像技术等基础研究工作，进而通过实验给出各成像算法的计算能耗，最终实现执行框架和管线原型。成果将进一步推动中国在SDP工作包中的工作，关键技术的实现将为中方开展后续科学研究打下坚实基础，提升我国射电干涉阵数据处理水平和软件研发能力。

The upcoming Square Kilometre Array radio telescope (SKA) is the biggest scientific experimental device ever built by astronomers, which is expected to bring revolutionary discovery for exploring and understanding the universe. The work package of science data processor (SDP) is one of the six work packages that China would participate in SKA. Tthe core algorithms and key techniques involved are the fundamental research for the later scientific research. In this study, we make full use of the advantages of the team in the interdisciplinary of astronomy and computer, aiming at breaking through the SKA SDP wide field, high dynamic range imaging and high performance data processing key techniques. The research will focus on basic research works such as key processing methods of wide field high dynamic range imaging algorithm, sky model based on Bayesian statistics, interferometric imaging methods based on compression perception. The imaging methods optimized and their power consumption should be further verified by using experimental approaches. An imaging framework and pipeline prototype should be finally implemented. Achievements of this study will further promote China's work in the SDP work packages. The realization of the key techniques will lay a solid foundation for China's follow-up scientific research and further promote the progress of the radio interferometric data processing software and techniques in China.