大视场高动态范围成像是SKA1-low（SKA1低频阵）等低频干涉阵科学数据处理的关键核心技术，大视场观测效应校正和天体建模是必须解决的重要问题；目前自适应尺度CLEAN反卷积算法已经具备对复杂天体的建模能力。本项目提出结合具有复杂天体建模能力的自适应尺度CLEAN反卷积和大视场校正去研究大视场射电图像高动态范围重建。研究拟以大视场观测效应对天体图像动态范围的影响规律为重点，通过不同的观测获取各种不同的脏图，考察大视场观测效应对天体图像动态范围的影响规律，实现对大视场观测效应的有效校正；在此基础上，研究大视场观测效应校正与天体建模的相互作用规律，来实现对大视场天体观测图像的有效建模，以达到提高低频大视场图像动态范围的目的。为大视场成像观测及相关天体物理研究提供新的数据处理方法，奠定使用SKA1-low等干涉阵取得重大发现的基础。

Widefield high dynamic range imaging is a key technology for scientific data processing of low frequency interference arrays such as SKA1-low (SKA1 low frequency array). Widefield observation effect correction and celestial modeling are important issues that must be solved. Currently the adaptive-scale CLEAN deconvolution algorithms already have the ability to model complex celestial bodies. This project intends to combine an adaptive-scale CLEAN deconvolution algorithm with complex celestial modeling capabilities and widefield effect correction to study high dynamic range reconstruction of widefield radio images. The research focuses on the influence of widefield on the dynamic range of celestial images. Different observations will be used to obtain various dirty images. The influence of widefield on the dynamic range of celestial images is investigated to realize the effective correction of widefield observation effect. On the basis of this, the interaction law between widefield correction and celestial modeling will be studied to realize the effective modeling of widefield celestial observation image, so as to improve the low-frequency widefield image. The aim is to provide new data processing methods for widefield imaging observations and related astrophysics research, laying the foundation for major discoveries using SKA1-low and other interference arrays.