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MUSER可见度数据积分方法与实现
Alternative TitleIntegral Method and Implementation of MUSER Visibility Data
赖铖1; 梅盈1,2; 邓辉1; 王锋1,2; 戴伟1
Source Publication天文研究与技术(Astronomical Research & Technology)
2018-01
Volume15Issue:1Pages:78-86
DOI10.14005/j.cnki.issn1672-7673.20171102.005
ClassificationTp274
Contribution Rank第2完成单位
Indexed ByCSCD
KeywordMuser Uv平均积分 Uv覆盖积分 综合孔径成像
Abstract

射电观测是研究太阳活动的重要探测手段。我国明安图频谱射电日像仪(Mingant U Sp Ectral Radioheliograph,MUSER)主要用以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MUSER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MUSER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。通过实验验证的方法与实现的正确性,两种积分均可以有效提高信噪比,图像质量明显提高。

Other Abstract

Radio observations is the most important detection means to research the solar activity. The MingantU SpEctral Radioheliograph(MUSER) is mainly used to research the initial energy release physics process of the solar activity and it’s 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 introduces the basic theory of radio interference imaging. Secondly, we analyzed 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 gives a complete realization. Through the method of verification and the validity of completion, the two kind of integration method can effectively improve the signal-to-noise ratio and the quality of images.

Funding Project国家自然科学基金[U1231205]
Funding Organization国家自然科学基金[U1231205]
Language中文
Subject Area天文学 ; 天文学其他学科 ; 计算机科学技术
MOST Discipline Catalogue理学 ; 理学::天文学 ; 工学 ; 工学::计算机科学与技术(可授工学、理学学位)
ISSN1672-7673
CSCD IDCSCD:6153485
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/11878
Collection其他
Affiliation1.昆明理工大学云南省计算机技术应用重点实验室, 云南, 昆明, 650500
2.中国科学院云南天文台, 云南, 昆明, 650011
Recommended Citation
GB/T 7714
赖铖,梅盈,邓辉,等. MUSER可见度数据积分方法与实现[J]. 天文研究与技术(Astronomical Research & Technology),2018,15(1):78-86.
APA 赖铖,梅盈,邓辉,王锋,&戴伟.(2018).MUSER可见度数据积分方法与实现.天文研究与技术(Astronomical Research & Technology),15(1),78-86.
MLA 赖铖,et al."MUSER可见度数据积分方法与实现".天文研究与技术(Astronomical Research & Technology) 15.1(2018):78-86.
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