| LAMOST一维光谱提取算法的分析与比较 |
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| 引用本文： | 李敏,李广伟,吕科,段福庆,哈斯铁尔·哈尔肯,赵永恒.LAMOST一维光谱提取算法的分析与比较[J].天文学报,2020,61(3):27. |
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| 作者姓名： | 李敏 李广伟 吕科 段福庆 哈斯铁尔·哈尔肯 赵永恒 |
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| 作者单位： | 中国科学院大学工程科学学院北京100049;中国科学院国家天文台光学天文重点实验室北京100101;中国科学院国家天文台空间天文与技术重点实验室北京100101;北京师范大学人工智能学院北京100875;北京师范大学人工智能学院北京100875;中国科学院国家天文台光学天文重点实验室北京100101 |
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| 基金项目： | 国家自然科学基金项目(U1531242、11673036)资助 |
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| 摘 要： | 针对LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope)2维光谱图像数据,对6种抽谱算法进行了分析与比较.比较的算法包括孔径法、轮廓拟合法、直接反卷积方法、基于Tikhonov正则化的反卷积抽谱算法、基于自适应Landweber迭代的反卷积抽谱算法以及基于Richardson-Lucy迭代的反卷积抽谱算法.通过实验对这些算法在信噪比和分辨率两个方面进行了比较,发现基于Tikhonov正则化的反卷积抽谱算法、基于自适应Landweber迭代的反卷积抽谱算法以及基于RichardsonLucy迭代的反卷积抽谱算法是6种算法中最为可靠的3种抽谱算法.最后,对今后的工作进行了展望.
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| 关 键 词： | 仪器: 光谱仪 方法: 数值 技术: 图像处理 技术: 分光镜 |
| 收稿时间： | 2019/11/21 0:00:00 |
Analysis and Comparison of Spectral Extraction Algorithms in LAMOST |
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| LI Min,LI Guang-wei,LV Ke,DUAN Fu-qing,HASITIEER Haerken,ZHAO Yong-heng.Analysis and Comparison of Spectral Extraction Algorithms in LAMOST[J].Acta Astronomica Sinica,2020,61(3):27. |
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| Authors: | LI Min LI Guang-wei LV Ke DUAN Fu-qing HASITIEER Haerken ZHAO Yong-heng |
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| Institution: | School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049;Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101;Key Laboratory of Space Astronomy and Technology, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101;School of Artificial Intelligence, Beijing Normal University, Beijing 100875;School of Artificial Intelligence, Beijing Normal University, Beijing 100875;Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101 |
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| Abstract: | In this paper, six spectral extraction algorithms are analyzed and compared in LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) two-dimensional spectral images. The compared algorithms include the aperture extracion method, profile-fitting method, direct deconvolution method, Tikhonov deconvolution method, deconvolution extraction based on adaptive Landweber iteration method, and deconvolution extraction based on Richardson-Lucy iteration method. The six algorithms are compared in the aspects of signal-to-noise ratio (SNR) and resolution. It can be found that the Tikhonov deconvolution method, deconvolution extraction based on adaptive Landweber iteration method, and deconvolution extraction based on Richardson-Lucy iteration method are the most reliable algorithms among them. Finally, the future work is proposed. |
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| Keywords: | instrumentation: spectrographs methods: numerical techniques: image processing techniques: spectroscopic |
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