NAOC Open IR
explorationofsdssstellardatabasebyautoclass
Yan Taisheng1; Zhang Yanxia1; Zhao Yongheng1; Li Ji2
2011
Source Publicationsciencechinaphysicsmechanicsastronomy
ISSN1674-7348
Volume54Issue:9Pages:1717
AbstractAutoClass is an unsupervised Bayesian classification approach which seeks a maximum posterior probability classification for determining the optimal classes in large data sets. Using stellar photometric data from the Sloan Digital Sky Survey (SDSS) data release 7 (DR7), we utilize AutoClass to select non-stellar objects from this sample in order to build a pure stellar sample. For this purpose, the differences between PSF (point spread function) magnitudes and model magnitudes in five wavebands are taken as the input of AutoClass. Through clustering analysis of this sample by AutoClass, 617 non-stellar candidates are found. These candidates are identified by NED and SIMBAD databases. Most of the identified sources (13 from SIMBAD and 28 from NED respectively) are extragalactic sources (e.g., galaxies, HII, radio sources, infrared sources), some are peculiar stars (e.g., supernovas), and very few are normal stars. The extragalactic sources and peculiar stars of the identified objects occupy 94.1%. The result indicates that this method is an effective and robust clustering algorithm to find non-stellar objects and peculiar stars from the total stellar sample.
Language英语
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/41077
Collection中国科学院国家天文台
Affiliation1.中国科学院国家天文台
2.河北师范大学
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yan Taisheng,Zhang Yanxia,Zhao Yongheng,et al. explorationofsdssstellardatabasebyautoclass[J]. sciencechinaphysicsmechanicsastronomy,2011,54(9):1717.
APA Yan Taisheng,Zhang Yanxia,Zhao Yongheng,&Li Ji.(2011).explorationofsdssstellardatabasebyautoclass.sciencechinaphysicsmechanicsastronomy,54(9),1717.
MLA Yan Taisheng,et al."explorationofsdssstellardatabasebyautoclass".sciencechinaphysicsmechanicsastronomy 54.9(2011):1717.
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