LINEARLY SUPPORTING FEATURE EXTRACTION FOR AUTOMATED ESTIMATION OF STELLAR ATMOSPHERIC PARAMETERS
文献类型：期刊论文
| 作者 | Li, Xiangru1; Lu, Yu1; Comte, Georges2,3; Luo, Ali3 ; Zhao, Yongheng3; Wang, Yongjun1
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| 刊名 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
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| 出版日期 | 2015-05-01 |
| 卷号 | 218期号:1 |
| 关键词 | methods: data analysis methods: statistical stars: abundances stars: atmospheres stars: fundamental parameters |
| 英文摘要 | We describe a scheme to extract linearly supporting (LSU) features from stellar spectra to automatically estimate the atmospheric parameters T-eff, log g, and [Fe/H]. "Linearly supporting" means that the atmospheric parameters can be accurately estimated from the extracted features through a linear model. The successive steps of the process are as follow: first, decompose the spectrum using a wavelet packet (WP) and represent it by the derived decomposition coefficients; second, detect representative spectral features from the decomposition coefficients using the proposed method Least Absolute Shrinkage and Selection Operator (LARS)(bs); third, estimate the atmospheric parameters Teff, log g, and [Fe/H] from the detected features using a linear regression method. One prominent characteristic of this scheme is its ability to evaluate quantitatively the contribution of each detected feature to the atmospheric parameter estimate and also to trace back the physical significance of that feature. This work also shows that the usefulness of a component depends on both the wavelength and frequency. The proposed scheme has been evaluated on both real spectra from the Sloan Digital Sky Survey (SDSS)/SEGUE and synthetic spectra calculated from Kurucz 's NEWODF models. On real spectra, we extracted 23 features to estimate T-eff, 62 features for log g, and 68 features for [Fe/H]. Test consistencies between our estimates and those provided by the Spectroscopic Parameter Pipeline of SDSS show that the mean absolute errors (MAEs) are 0.0062 dex for log T-eff (83 K for T-eff), 0.2345 dex for log g, and 0.1564 dex for [Fe/H]. For the synthetic spectra, the MAE test accuracies are 0.0022 dex for log T-eff (32 K for T-eff), 0.0337 dex for log g, and 0.0268 dex for [Fe/H]. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000354999200003 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/5678]  |
| 专题 | 国家天文台_光学天文研究部 |
| 作者单位 | 1.S China Normal Univ, Sch Math Sci, Guangzhou 510631, Guangdong, Peoples R China 2.Aix Marseille Univ, CNRS, Inst Pytheas, Lab Astrophys Marseille,UMR 7326, F-13388 Marseille, France 3.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xiangru,Lu, Yu,Comte, Georges,et al. LINEARLY SUPPORTING FEATURE EXTRACTION FOR AUTOMATED ESTIMATION OF STELLAR ATMOSPHERIC PARAMETERS[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2015,218(1). |
| APA | Li, Xiangru,Lu, Yu,Comte, Georges,Luo, Ali,Zhao, Yongheng,&Wang, Yongjun.(2015).LINEARLY SUPPORTING FEATURE EXTRACTION FOR AUTOMATED ESTIMATION OF STELLAR ATMOSPHERIC PARAMETERS.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,218(1). |
| MLA | Li, Xiangru,et al."LINEARLY SUPPORTING FEATURE EXTRACTION FOR AUTOMATED ESTIMATION OF STELLAR ATMOSPHERIC PARAMETERS".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 218.1(2015). |
入库方式： OAI收割
来源：国家天文台
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