A method of searching for supernova candidates from massive galaxy spectra
文献类型：期刊论文
| 作者 | Tu LiangPing1,2,3; Luo ALi2; Wu FuChao1 ; Zhao YongHeng2
|
| 刊名 | SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
 |
| 出版日期 | 2010-10-01 |
| 卷号 | 53期号:10页码:1928-1938 |
| 关键词 | supernovae decomposition of galaxy spectrum sample decrease local outlier factor cross-correlation matching |
| 英文摘要 | This paper presents a novel spectroscopic method for searching for supernova candidates from massive galaxy spectra, which is expected to be applied to the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). This method includes mainly five steps. The first step is spectral preprocessing, including removing spectral noise using wavelet transform, spectral de-redshift, etc. The second step is decomposition of galactic spectra; we can get the galaxy component and supernova component and calculate the Supernova Statistical Characterization Vector (SNSCV) of each galaxy spectrum. The third step is to decrease samples in all the galaxy spectral datasets according to SNSCV of each spectrum, and to use the LOF (Local Outlier Factor)-based outlier detection algorithm to obtain the preliminary selected spectral data. The fourth step is template matching by cross-correlation, according to the matched results we get the secondary selected spectral data. Finally, we choose the final supernova candidates manually through checking the spectral features characteristic of a supernova. By the spectroscopic method proposed in this paper, thirty-six supernova candidates have been detected in a dataset including 294843 galaxy spectra from the Sloan Digital Sky Survey Data Release 7. Nine of these objects are detected first and the other twenty-seven have been reported in other publications (fifteen of which are detected and reported first by us). The twenty-four new super-nova candidates include twenty la type supernova candidates, three Ic type supernova candidates and one II type supernova candidate. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Physics, Multidisciplinary |
| 研究领域[WOS] | Physics |
| 关键词[WOS] | DIGITAL SKY SURVEY ; SURVEY-II ; IA SUPERNOVAE ; DATA RELEASE ; REDSHIFT ; TELESCOPE ; CLASSIFICATION ; SPECTROSCOPY |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000281860600024 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/2951]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China 3.Univ Sci & Technol Liaoning, Sch Sci, Anshan 144051, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tu LiangPing,Luo ALi,Wu FuChao,et al. A method of searching for supernova candidates from massive galaxy spectra[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2010,53(10):1928-1938. |
| APA | Tu LiangPing,Luo ALi,Wu FuChao,&Zhao YongHeng.(2010).A method of searching for supernova candidates from massive galaxy spectra.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,53(10),1928-1938. |
| MLA | Tu LiangPing,et al."A method of searching for supernova candidates from massive galaxy spectra".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 53.10(2010):1928-1938. |
入库方式： OAI收割
来源：自动化研究所
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