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The Automatic Detection of the Continuum Problem in the Stellar Spectra Based on Distance Metric
Yu Jing-jing1; Pang Jing-chang1; Meng Fan-long1; Wei Peng2
2017-07-01
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
Volume37Issue:7Pages:2246-2249
AbstractContinuum problem is a phenomenon that the continuum of spectra get off their actual continuum even break off due to interstellar extinction and flux calibration, and it will have negative impact on the subsequent process such as spectral line extraction and so on. Due to this problem and considering of the continuum features of the stellar spectra, a method of automatic detection and recognition of the continuum problem in the stellar spectra is proposed, which will improve work efficiency greatly compared with the traditional human eyes examination under the condition of maintaining high accuracy. Firstly in this method, the subclass of the test stellar spectra is confirm by calculating the spectra's lick indices, and the test stellar spectra are normalized. Secondly, the continuum of the test stellar spectra and the template spectra are fit with the same method. The last step goes to continuum template matching. The flux differences of the test stellar spectra and template spectra at every point of wavelength in the continuum spectra will be calculated to analyze the features of its distribution. The features counted are average (called delta) value and standard deviation (called beta). The percentage of points distributed in range beta +/- a * delta will be detected to confirm that if there is continuum problem. In the end, this method has been proven to have a good effect on detecting and recognizing the continuum problem spectra by a great deal of experiments.
SubtypeArticle
KeywordContinum Problem Lick Indices Template Matching Subclass Matching Continuum Normalization Flux Difference
WOS HeadingsScience & Technology ; Technology
DOI10.3964/j.issn.1000-0593(2017)07-2246-04
WOS KeywordLAMOST
Indexed BySCI
Language英语
WOS Research AreaSpectroscopy
WOS SubjectSpectroscopy
WOS IDWOS:000405648400045
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8860
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
Yu Jing-jing,Pang Jing-chang,Meng Fan-long,et al. The Automatic Detection of the Continuum Problem in the Stellar Spectra Based on Distance Metric[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2017,37(7):2246-2249.
APA Yu Jing-jing,Pang Jing-chang,Meng Fan-long,&Wei Peng.(2017).The Automatic Detection of the Continuum Problem in the Stellar Spectra Based on Distance Metric.SPECTROSCOPY AND SPECTRAL ANALYSIS,37(7),2246-2249.
MLA Yu Jing-jing,et al."The Automatic Detection of the Continuum Problem in the Stellar Spectra Based on Distance Metric".SPECTROSCOPY AND SPECTRAL ANALYSIS 37.7(2017):2246-2249.
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