Reducing the Searching Range of Supernova Candidates Automatically in a Flood of Spectra of Galaxies

	Reducing the Searching Range of Supernova Candidates Automatically in a Flood of Spectra of Galaxies
	Tu Liang-ping 1,2,3; Luo A-li 3; Wu Fu-chao1 ; Zhao Yong-heng 3
发表期刊	SPECTROSCOPY AND SPECTRAL ANALYSIS
	2009-12-01
卷号	29 期号:12 页码:3420-3423
文章类型	Article
摘要	Supernova (SN) is one of the most intense astronomical phenomena among the known stellar activities, but compared with several billion astronomical objects which people have probed, the number of supernova the authors have observed is very small. Therefore. the authors need to find faster and higher-efficiency approaches to searching supernova. In the present paper, we present a novel automated method, which can be Successfully Used to reduce the range of searching for la Supernova candidates in a huge number of galaxy spectra. The theoretical basis of the method is clustering and outlier picking, by introducing and Measuring local outlier factors of data samples. description of statistic characters of SN emerges in low dimension space. Firstly, eigenvectors of Peter's la super-nova templates are acquired through PCA projection, and the description of la supernova's statistic characters is calculated. Secondly, in all data set, the local outlier factor (LOF) of each galaxy is calculated including those SN and their host galaxy spectra, and all LOFs are arranged in descending order. Finally, spectra with the largest first one percent of all LOFs should be the reduced la SN candidates. Experiments show that this method is a robust and correct range reducing method. which can get. rid of the galaxy spectra without supernova component automatically in it flood of galaxy spectra. It is a highly efficient approach to getting the reliable candidates in a spectroscopy Survey for follow-up photometric observation.
关键词	Supernova Candidate Outlier Measurement Local Outlier Factor
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Spectroscopy
WOS类目	Spectroscopy
WOS记录号	WOS:000272565300062
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/2965
专题	多模态人工智能系统全国重点实验室_机器人视觉
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Univ Sci & Technol Liaoning, Sch Sci, Anshan 144051, Peoples R China 3.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Tu Liang-ping,Luo A-li,Wu Fu-chao,et al. Reducing the Searching Range of Supernova Candidates Automatically in a Flood of Spectra of Galaxies[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2009,29(12):3420-3423.
APA	Tu Liang-ping,Luo A-li,Wu Fu-chao,&Zhao Yong-heng.(2009).Reducing the Searching Range of Supernova Candidates Automatically in a Flood of Spectra of Galaxies.SPECTROSCOPY AND SPECTRAL ANALYSIS,29(12),3420-3423.
MLA	Tu Liang-ping,et al."Reducing the Searching Range of Supernova Candidates Automatically in a Flood of Spectra of Galaxies".SPECTROSCOPY AND SPECTRAL ANALYSIS 29.12(2009):3420-3423.