Global optimization-based reference star differential imaging for high-contrast exoplanet imaging survey | |
Ren DQ(任德清); Chen YL(陈祎力) | |
刊名 | MNRAS |
2021-02 | |
卷号 | 21期号:7页码:181-188 |
关键词 | instrumentation: adaptive optics methods: data analysis techniques: image processing |
英文摘要 | We propose a data reduction approach called global optimization-based reference star differential imaging (G-RDI), which can be used for exoplanet imaging survey, where large numbers of target stars from the same young stellar association are imaged and where no field rotation is needed. One of the unique features of our G-RDI is that we select reference stars from other scientific target stars in the same stellar association to optimize for high-contrast imaging with a target star, which maximizes the observational efficiency and also delivers good performance to remove the speckle noise so that high contrast is achievable even at a small inner working angle (IWA) to the host star of being imaged. We proposed the G-RDI that is optimized for high-contrast |
学科主题 | 天文技术与方法 |
内容类型 | 期刊论文 |
源URL | [http://ir.niaot.ac.cn/handle/114a32/1951] |
专题 | 南京天文光学技术研究所_中科院南京天光所知识成果_期刊论文 |
作者单位 | 南京天文光学技术研究所 |
推荐引用方式 GB/T 7714 | Ren DQ,Chen YL. Global optimization-based reference star differential imaging for high-contrast exoplanet imaging survey[J]. MNRAS,2021,21(7):181-188. |
APA | Ren DQ,&Chen YL.(2021).Global optimization-based reference star differential imaging for high-contrast exoplanet imaging survey.MNRAS,21(7),181-188. |
MLA | Ren DQ,et al."Global optimization-based reference star differential imaging for high-contrast exoplanet imaging survey".MNRAS 21.7(2021):181-188. |
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