An Automatic Detection and Classification Method of the Splicing Abnormality in the Stellar Spectra for LAMOST
文献类型：期刊论文
| 作者 | Meng Fan-long1; Pan Jing-chang1; Yu Jing-jing1; Wei Peng2
|
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2017-07-01 |
| 卷号 | 37期号:7页码:2250-2253 |
| 关键词 | Splicing wavelengths Spectra pretreatment Segmentation fitting Deviation Abnormal grading |
| 英文摘要 | Splicing abnormality is a phenomenon of poor continuity spectrum showed in the splicing wavelengths of the red and blue end. In the spectral processing, this problem can be caused by several factors, such as stability of instrument, observation condition, the response function and so on. It has important effect on the spectra quality whether the splicing is normal or not. In the research of this paper we define a tag on the Lamost spectra automatically to evaluate the quality of spectra splicing and it can provide users with a choice when using data. In this paper, a method of automatic detection of splicing abnormality spectra for LAMOST is proposed to improve the work efficiency greatly. With this method, first of all, we get the red end and blue end of the test spectrum in the splicing wavelengths after flux normalized and the feature lines deleted. Then, we fit the continuum in the red and blue end separately. Thirdly, we calculate the differences of flux between the two fitted curves at a series of independent variables with regular intervals. We get the average and standard deviation of the differences and the area of the two curves busied. Based on the statistics above, an evaluation function is presented in this paper which can be used to judge whether the test spectra are normal or not and determine their abnormal class. The method has been proved to have a good effect in the reorganization of splicing abnormality spectra through a mass of experiments. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Spectroscopy |
| 研究领域[WOS] | Spectroscopy |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000405648400046 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/8865]  |
| 专题 | 国家天文台_星系宇宙学研究部 |
| 作者单位 | 1.Shandong Univ Weihai, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China 2.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Meng Fan-long,Pan Jing-chang,Yu Jing-jing,et al. An Automatic Detection and Classification Method of the Splicing Abnormality in the Stellar Spectra for LAMOST[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2017,37(7):2250-2253. |
| APA | Meng Fan-long,Pan Jing-chang,Yu Jing-jing,&Wei Peng.(2017).An Automatic Detection and Classification Method of the Splicing Abnormality in the Stellar Spectra for LAMOST.SPECTROSCOPY AND SPECTRAL ANALYSIS,37(7),2250-2253. |
| MLA | Meng Fan-long,et al."An Automatic Detection and Classification Method of the Splicing Abnormality in the Stellar Spectra for LAMOST".SPECTROSCOPY AND SPECTRAL ANALYSIS 37.7(2017):2250-2253. |
入库方式： OAI收割
来源：国家天文台
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