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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
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
2015-03-01
Volume35Issue:3Pages:834-840
SubtypeArticle
AbstractThere 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.
KeywordKernel Density Estimation Knn Rare Celestial Objects Data Mining Sdss
WOS HeadingsScience & Technology ; Technology
WOS KeywordCATACLYSMIC VARIABLES ; CARBON STARS ; WHITE-DWARFS ; CANDIDATES ; CATALOG
Indexed BySCI
Language英语
WOS Research AreaSpectroscopy
WOS SubjectSpectroscopy
WOS IDWOS:000351025600051
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8092
Collection模式识别国家重点实验室_机器人视觉
Affiliation1.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
Recommended Citation
GB/T 7714
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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