A New Distance Metric between Different Stellar Spectra: the Residual Distribution Distance
文献类型：期刊论文
| 作者 | Liu Jie1; Pan Jing-chang1; Luo A-li1,2 ; Wei Peng2; Liu Meng1
|
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2015-12-01 |
| 卷号 | 35期号:12页码:3524-3528 |
| 关键词 | Stellar spectra Distance metric Residual distribution Stellar spectra classification Stellar spctra clustering Stellar parameter estimation |
| 英文摘要 | Distance metric is an important issue for the spectroscopic survey data processing, which defines a calculation method of the distance between two different spectra. Based on this, the classification, clustering, parameter measurement and outlier data mining of spectral data can be carried out. Therefore, the distance measurement method has some effect on the performance of the classification, clustering, parameter measurement and outlier data mining. With the development of large-scale stellar spectral sky surveys, how to define more efficient distance metric on stellar spectra has become a very important issue in the spectral data processing. Based on this problem and fully considering of the characteristics and data features of the stellar spectra, a new distance measurement method of stellar spectra named Residual Distribution Distance is proposed. While using this method to measure the distance, the two spectra are firstly scaled and then the standard deviation of the residual is used the distance. Different from the traditional distance metric calculation methods of stellar spectra, when used to calculate the distance between stellar spectra, this method normalize the two spectra to the same scale, and then calculate the residual corresponding to the same wavelength, and the standard error of the residual spectrum is used as the distance measure. The distance measurement method can be used for stellar classification, clustering and stellar atmospheric physical parameters measurement and so on. This paper takes stellar subcategory classification as an example to test the distance measure method. The results show that the distance defined by the proposed method is more effective to describe the gap between different types of spectra in the classification than other methods, which can be well applied in other related applications. At the same time, this paper also studies the effect of the signal to noise ratio (SNR) on the performance of the proposed method. The result show that the distance is affected by the SNR. The smaller the signal-to-noise ratio is, the greater impact is on the distance; While SNR is larger than 10, the signal-to-noise ratio has little effect on the performance for the classification. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000366542800050 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/5502]  |
| 专题 | 国家天文台_光学天文研究部 |
| 作者单位 | 1.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Jie,Pan Jing-chang,Luo A-li,et al. A New Distance Metric between Different Stellar Spectra: the Residual Distribution Distance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2015,35(12):3524-3528. |
| APA | Liu Jie,Pan Jing-chang,Luo A-li,Wei Peng,&Liu Meng.(2015).A New Distance Metric between Different Stellar Spectra: the Residual Distribution Distance.SPECTROSCOPY AND SPECTRAL ANALYSIS,35(12),3524-3528. |
| MLA | Liu Jie,et al."A New Distance Metric between Different Stellar Spectra: the Residual Distribution Distance".SPECTROSCOPY AND SPECTRAL ANALYSIS 35.12(2015):3524-3528. |
入库方式： OAI收割
来源：国家天文台
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