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Search for carbon stars and dz white dwarfs in SDSS spectra survey through machine learning

Science China(Physics,Mechanics & Astronomy) 2014年第1期57卷 176-186页

作者： SI JianMin LUO ALi LI YinBi ZHANG JianNan WEI Peng WU YiHong WU FuChao ZHAO YongHeng National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Key Laboratory of Optical Astronomy National Astronomical Observatories Chinese Academy of Sciences University of Chinese Academy of Sciences

Carbon stars and dz white dwarfs are two types of rare objects in the Galaxy. In this paper, we have applied the label propagation algorithm to search for these two types of stars from Data Release Eight （DR8） of the Sloan Digital Sky Survey （SDSS）, which is verified to be efficient by calculating precision and recall. From nearly two million spectra including stars, galaxies and QSOs, we have found 260 new carbon stars in which 96 stars have been identified as dwarfs and 7 identified as giants, and 11 composition spectrum systems （each of them consists of a white dwarf and a carbon star）. Similarly, using the label propagation method, we have obtained 29 new dz white dwarfs from SDSS DR8. Compared with PCA reconstructed spectra, the 29 findings are typical dz white dwarfs. We have also investigated their proper motions by comparing them with proper motion distribution of 9,374 white dwarfs, and fotmd that they satisfy the current observed white dwarfs by SDSS generally have large proper motions. In addition, we have estimated their effective temperatures by fitting the polynomial relationship between effective temperature and g-r color of known dz white dwarfs, and found 12 of the 29 new dz white dwarfs are cool, in which nine are between 6,000 K and 6,600 K, and three are below 6,000 K.

关键词： machine learning label propagation carbon stars dz white dwarfs

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