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Searching for Rare Celestial Objects Automatically from Stellar Spectra of the Sloan Digital Sky Survey Data Release Eight
Si Jian-min1,2,3; Luo A-li2; Wu Fu-zhao1; Wu Yi-hong1
2015-03-01
发表期刊SPECTROSCOPY AND SPECTRAL ANALYSIS
卷号35期号:3页码:834-840
文章类型Article
摘要There are many valuable rare and unusual objects in spectra dataset of Sloan Digital Sky Survey (SDSS) Data Release eight (DR8), such as special white dwarfs (DZ, DQ, DC), carbon stars, white dwarf main-sequence binaries (WDMS), cataclysmic variable (CV) stars and so on, so it is extremely significant to search for rare and unusual celestial objects from massive spectra dataset A novel algorithm based on Kernel dense estimation and K-nearest neighborhoods (KNN) has been presented, and applied to search for rare and unusual celestial objects from 546 383 stellar spectra of SDSS DR8. Their densities are estimated using Gaussian kernel density estimation, the top 5 000 spectra in descend order by their densities are selected as rare objects, and the top 300 000 spectra in ascend order by their densities are selected as normal objects. Then, KNN were used to classify the rest objects, and simultaneously K nearest neighbors of the 5 000 rare spectra are also selected as rare objects. As a result, there are totally 21 193 spectra selected as initial rare spectra, which include error spectra caused by deletion, redden, bad calibration, spectra consisting of different physically irrelevant components, planetary nebulas, QSOs, special white dwarfs (DZ, DQ, DC), carbon stars, white dwarf main-sequence binaries (WDMS), cataclysmic variable (CV) stars and so on. By cross identification with SIMBAD, NED, ADS and major literature, it is found that three DZ white dwarfs, one WDMS, two CVs with company of G-type star, three CVs candidates, six DC white dwarfs, one DC white dwarf candidate and one BL Lacertae (BL lac) candidate are our new findings. We also have found one special DA white dwarf with emission lines of Ca II triple and Mg I, and one unknown object whose spectrum looks like a late M star with emission lines and its image looks like a galaxy or nebula.
关键词Kernel Density Estimation Knn Rare Celestial Objects Data Mining Sdss
WOS标题词Science & Technology ; Technology
关键词[WOS]CATACLYSMIC VARIABLES ; CARBON STARS ; WHITE-DWARFS ; CANDIDATES ; CATALOG
收录类别SCI
语种英语
WOS研究方向Spectroscopy
WOS类目Spectroscopy
WOS记录号WOS:000351025600051
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8092
专题模式识别国家重点实验室_机器人视觉
作者单位1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observa, Beijing 100012, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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Si Jian-min,Luo A-li,Wu Fu-zhao,et al. Searching for Rare Celestial Objects Automatically from Stellar Spectra of the Sloan Digital Sky Survey Data Release Eight[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2015,35(3):834-840.
APA Si Jian-min,Luo A-li,Wu Fu-zhao,&Wu Yi-hong.(2015).Searching for Rare Celestial Objects Automatically from Stellar Spectra of the Sloan Digital Sky Survey Data Release Eight.SPECTROSCOPY AND SPECTRAL ANALYSIS,35(3),834-840.
MLA Si Jian-min,et al."Searching for Rare Celestial Objects Automatically from Stellar Spectra of the Sloan Digital Sky Survey Data Release Eight".SPECTROSCOPY AND SPECTRAL ANALYSIS 35.3(2015):834-840.
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