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Difference Analysis of LAMOST Stellar Spectrum and Kurucz Model Based on Grid Clustering
Chen Shu-xin1,2; Sun Wei-min1; Kong Xiao3
2017-06-01
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
Volume37Issue:6Pages:1951-1954
AbstractWith the vigorous development of the big data astronomical calculation science, our country has obtained independent intellectual property rights of the international astronomical community. LAMOST telescope has taken the lead in the world in terms of development and implementation of combining the observation with mass survey work of thousands of celestial spectra. With the largest caliber and spectrum which has the highest rate of wide field. Druing the period between 2011 and June 2015, DR3 survey spectra obtained data set to acquire the biggest in the world currently parameters star catalog. In allusion to LAMOST the third of FGK stellar spectra data released the flow-calibration, etc. Kurucz template spectrum was used to partition the mesh, based on open source efficient R language programming supervised data processing software platform, in order that clustering center is easy to verify the theoretical parameters of the grid difference. After normalized processing of LAMOST measured spectrum, on the theoretical parameters grid with the supervised clustering validation, Euclidean distance discriminant algorithm was adopted to distinguish the similarity between the spectra. Choosing distance quantity directly described the attributes, properties of vector constructor judged the observed difference spectroscopy and the theoretical levels were selected. Experiments show that the measured spectrum of LAMOST in FGK type stellar spectra data comparisons with Kurucz theoretical template library data, which has a better consistency and accuracy in parameter measurement with the same parameters between the spectral characteristic lines. Thus, it is concluded that the spectrum measurement physical parameters of LAMOST is higher than the observation quality with excellent reliability, which provides the basis argument for improving the following stellar atmosphere models.
SubtypeArticle
KeywordCluster Analysis Kurucz Model Spectra Distance Measurement Lamost (Large Sky Area Multi-object Fiber Spectroscopy Telescope)
WOS HeadingsScience & Technology ; Technology
DOI10.3964/j.issn.1000-0593(2017)06-1951-04
WOS KeywordDATA RELEASE
Indexed BySCI
Language英语
WOS Research AreaSpectroscopy
WOS SubjectSpectroscopy
WOS IDWOS:000403036200055
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8784
Collection光学天文研究部
Affiliation1.Harbin Engn Univ, Minist Educ, Key Lab In Fiber Integrated Opt, Harbin 150006, Peoples R China
2.Qiqihar Univ, Qiqihar 161006, Peoples R China
3.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China
Recommended Citation
GB/T 7714
Chen Shu-xin,Sun Wei-min,Kong Xiao. Difference Analysis of LAMOST Stellar Spectrum and Kurucz Model Based on Grid Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2017,37(6):1951-1954.
APA Chen Shu-xin,Sun Wei-min,&Kong Xiao.(2017).Difference Analysis of LAMOST Stellar Spectrum and Kurucz Model Based on Grid Clustering.SPECTROSCOPY AND SPECTRAL ANALYSIS,37(6),1951-1954.
MLA Chen Shu-xin,et al."Difference Analysis of LAMOST Stellar Spectrum and Kurucz Model Based on Grid Clustering".SPECTROSCOPY AND SPECTRAL ANALYSIS 37.6(2017):1951-1954.
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