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MUSER可见度数据积分方法与实现

Integral Method and Implementation of MUSER Visibility Data

  • 摘要: 射电观测是研究太阳活动的重要探测手段。我国明安图射电频谱日像仪(MingantU SpEctral Radioheliograph,MUSER)主要用于研究太阳爆发活动初始能量释放区的物理过程,其观测将在太阳射电成像开辟一个新的窗口。成像处理是数据处理的重要组成部分,如何提高成像质量是当前数据处理的研究重点。首先介绍了射电干涉成像的基本理论,随后分析了对观测得到的可见度数据积分的必要性,细致讨论了短时段可见度数据叠加求平均和长时段UV覆盖叠加两种积分方法,并给出了完整的实现。通过实现代码与实验验证,两种积分均可以有效提高信噪比,图像质量明显提高。

     

    Abstract: Radio observation is the most important detection means to research the solar activity. The MingantU SpEctral Radioheliograph (MUSER) is mainly used to research the physical process in the initial energy-releasing area during the solar activity and its observation will open a new window in solar radio imaging. Imaging processing is an important part of MUSER data processing and improving the image quality is the most important research of data processing. Firstly, we introduce the basic theory of radio interference imaging. Secondly, we analyze the necessity of visibility data integration obtained from the MUSER observations. Then, we discuss in detail the two kinds of integration method which are short-term visibility data superimposed averaging and long-term UV overlay stacking and give out a complete realization. Through the method of verification and the validity of completion, the two kinds of integration method can effectively improve the signal-to-noise ratio and the quality of images.

     

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