天文图像中混叠光谱的高斯拟合分离方法

李玉祥; 陈龙震; 宗宣宇; 蒋博宇; 耿涛; 孙伟民

光学与光电技术, 2020, 18 (2): 38, 网络出版: 2020-06-18

天文图像中混叠光谱的高斯拟合分离方法

Gauss Fitting Method for Separating Mixed Spectra in Astronomical Images

论文大纲

李玉祥 ^*陈龙震宗宣宇蒋博宇耿涛孙伟民

作者单位

哈尔滨工程大学物理与光电工程学院, 黑龙江哈尔滨 150001

高斯拟合光谱混叠光谱分离天文观测光纤技术 Gauss fitting spectral aliasing spectral separation astronomical observation optical fiber technology

摘要

随着光纤技术的发展, 其在天文观测仪器中得到了广泛的应用。在天文观测仪器中光纤数目通常达到几千根, 当光纤空间排布的间距过小时, 输出光谱容易产生混叠的现象。在不改变结构的前提下, 用软件的方法实现混叠光谱的分离, 假定输出光谱的强度分布是高斯函数形式, 应用高斯函数拟合法实现了混叠光谱的分离。与光纤间距较宽时的输出光谱进行对比, 得到了较好的分离效果, 最小均方差为 1.43。结果表明该方法应用在混叠光谱的分离中是可行的。

Abstract

With the development of optical fiber technology, it has been widely used in astronomical observation instruments. In astronomical observation instruments, the number of optical fibers usually reaches several thousand. When the spacing of optical fibers is too small, the output spectra is liable to overlap. Without changing the structure, the aliasing spectra is separated by software method, assuming that the intensity distribution of the output spectra is in the form of Gauss function, and the aliasing spectra is separated by Gauss function fitting method. Compared with the output spectrum when the distance between fibers is wider, a better separation effect is obtained. The minimum mean square deviation is 1.43. The results show that this method is feasible in the separation of aliasing spectra.

参考文献

[1] Hill J M. Multiple object spectroscopy: The MX spectrometer design［D］. Tucson: The University of Arizona, 1984.

[2] Hill J M. The history of multiobject fiber spectroscopy［J］. ASP Conference Series, Fiber Optics in Astronomy, 1988, (3): 77-92.

[3] Croom S M, Lawrence J S, Hawthorn J B, et al. The Sydney-AAO multi-object integral field spectrograph［J］. Monthly Notices of the Royal Astronomical Society, 2012, 421(1): 872-893.

[4] Piskunov N E, Valenti J A. New algorithms for reducing cross-dispersed echelle spectra［J］. Astronomy and Astrophysics, 2002, 385: 1095-1106.

[5] Blondin S, Walsh J R, Leibundgut B, et al. Extracting clean supernova spectra towards a quantitative analysis of high-redshitf Type Ia supernova spectra［J］. Astronomy and Astrophysics, 2005, 431: 757-771.

[6] Qin H Q, Ye Z F, Luo A li. Flux extraction based on radial basic function for LAMOST［J］. Publications of the Astronomical Society of the Pacific, 2009, 121(878): 408-413.

[7] Zhu Y T, Hu Z W, Zhang Q F, et al. A multipurpose fiber-fed VPHG spectrograph for LAMOST［C］. SPIE, 2006, 6269: 62690M.

[8] Rhoads J E. Cosmic-Ray rejection by linear filtering of single images［J］. Publications of the Astronomical Society of the Pacific, 2000, 112: 703-710.

[9] 祝佳. 二维光谱数据处理中的若干关键技术研究［D］. 合肥: 中国科学技术大学, 2016: 49-72.

ZHU Jia. The research on some key technologies of the two dimensional fiber spectrum data processing［D］. Hefei: University of Science and Technology of China, 2016: 49-72.

[10] 张博. LAMOST 光谱数据的二维处理关键技术研究［D］. 合肥: 中国科学技术大学, 2016: 21-26.

ZHANG Bo. Study on key technologies of the two dimensional processing on the fiber spectra of LAMOST［D］. Hefei: University of Science and Technology of China, 2016: 21-26.

[11] 李广伟, 张昊彤, 罗阿理, 等. 如何从二维CCD 光纤光谱图像中抽取一维光谱［J］. 科研信息化技术与应用, 2011, 2(4): 24-31.

LI Guang-wei, ZHANG Hao-tong, LUO A-li, et al. How to extract 1D spectra from 2D CCD fiber spectroscopic image［J］. E-Science Technology & Application, 2011, 2(4): 24-31.

李玉祥, 陈龙震, 宗宣宇, 蒋博宇, 耿涛, 孙伟民. 天文图像中混叠光谱的高斯拟合分离方法[J]. 光学与光电技术, 2020, 18(2): 38. LI Yu-xiang, CHEN Long-zhen, ZONG Xuan-yu, JIANG Bo-yu, GENG Tao, SUNWei-min. Gauss Fitting Method for Separating Mixed Spectra in Astronomical Images[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2020, 18(2): 38.

天文图像中混叠光谱的高斯拟合分离方法

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