| 光谱学与光谱分析 |
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| A New Automated Method to Identify Emission Line Star from Massive Spectra |
| PAN Jing-chang1, 2, ZHANG Cai-ming1, WEI Peng2, 3, LUO A-li2, 3, ZHAO Yong-heng3 |
1. School of Computer Science and Technology, Shandong University, Ji’nan 250100, China
2. School of Mechanical, Electrical & Information Engineering, Shandong University at Weihai，Weihai 264209, China
3. Key Laboratory of Optical Astronomy, NAOC, Chinese Academy of Sciences, Beijing 100012, China |
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Abstract Stellar spectra are characterized by obvious absorption lines or absorption bands, while those with emission lines are usually special stars such as cataclysmic variable stars (CVs), HerbigAe/Be etc. The further study of this kind of spectra is meaningful. The present paper proposed a new method to identify emission line stars (ELS) spectra automatically. After the continuum normalization is done for the original spectral flux, line detection is made by comparing the normalized flux with the mean and standard deviation of the flux in its neighbor region. The results of the experiment on massive spectra from SDSS DR8 indicate that the method can identify ELS spectra completely and accurately. Since no complex transformation and computation are involved in this method, the identifying process is fast and it is ideal for the ELS detection in large sky survey projects like LAMOST and SDSS.
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Received: 2011-08-15
Accepted: 2011-11-12
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Corresponding Authors:
PAN Jing-chang
E-mail: pjc@sdu.edu.cn
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