NAOC Open IR  > 星系宇宙学研究部
The Automatic Recognition and Detection of Sky-Subtraction Residual Componentin the Stellar Spectra
An Ran1; Pan Jing-chang1; Yi Zhen-ping1; Wei Peng2
2017
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
Volume37Issue:1Pages:273-277
AbstractThe skylines, superimposing on the target spectrum as a main noise, will reduce the signal-to-noise ratio of the spectrum. If the spectrum still contains a large number of high strength skylight residuals after sky-subtraction processing, it will not be conducive to the follow-up analysis of the target spectrum. At present, the study on the automatic recognition of the abnormal sky-subtraction stellar spectra is limited in number. We can only find the abnormal sky-subtraction spectra by manual inspection, and this will reduce the speed of detection. This paper analyzes the influence factors of sky-subtraction results and finds the characteristics of the abnormal sky-subtraction spectra. A simple and effective method is proposed to automatic recognize the abnormal sky-subtraction stellar spectra which have been processed with the LAMOST Pipeline processing procedure and find the positions of the abnormal skylines. In this method, all the spectra are normalized first; the abnormal skyline is determined by detecting whether there exits any high strength skyline residuals which are similar to the emission line or absorption line. Finally, all the abnormal skyline positions in the spectra are obtained in this method. The experimental results with the LAMOST spectroscopic dataset show that this method can recognize the abnormal sky-subtraction spectra and find the abnormal skyline positions of different residual strength effectively. In addition, the method is simple and has high recognition efficiency, and can be applied to the automatic detection of abnormal sky-subtraction of large number of spectra.
SubtypeArticle
KeywordSky-substraction Sky-residuals Detection Spectral Normalization Lamost
WOS HeadingsScience & Technology ; Technology
DOI10.3964/j.issn.1000-0593(2017)01-0273-05
Indexed BySCI
Language英语
WOS Research AreaSpectroscopy
WOS SubjectSpectroscopy
WOS IDWOS:000392359300051
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8285
Collection星系宇宙学研究部
Affiliation1.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Weihai, Peoples R China
2.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China
Recommended Citation
GB/T 7714
An Ran,Pan Jing-chang,Yi Zhen-ping,et al. The Automatic Recognition and Detection of Sky-Subtraction Residual Componentin the Stellar Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2017,37(1):273-277.
APA An Ran,Pan Jing-chang,Yi Zhen-ping,&Wei Peng.(2017).The Automatic Recognition and Detection of Sky-Subtraction Residual Componentin the Stellar Spectra.SPECTROSCOPY AND SPECTRAL ANALYSIS,37(1),273-277.
MLA An Ran,et al."The Automatic Recognition and Detection of Sky-Subtraction Residual Componentin the Stellar Spectra".SPECTROSCOPY AND SPECTRAL ANALYSIS 37.1(2017):273-277.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[An Ran]'s Articles
[Pan Jing-chang]'s Articles
[Yi Zhen-ping]'s Articles
Baidu academic
Similar articles in Baidu academic
[An Ran]'s Articles
[Pan Jing-chang]'s Articles
[Yi Zhen-ping]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[An Ran]'s Articles
[Pan Jing-chang]'s Articles
[Yi Zhen-ping]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.