光谱学与光谱分析 |
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A Method for Auto-Recognizing the Stars Based on Spectral Feature |
LIU Zhong-tian, QIU Kuan-min |
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China |
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Abstract The LAMOST project, the world’s largest sky survey project being implemented in China, urgently needs an automatic stars recognition and classification system.This paper presents a method for auto-recognizing the stars based on spectral feature.This method consists of three main steps: First, the integral information of spectral lines is calculated and the stellar Balmer lines are detected by using the wavelet features of spectral lines.Then, the characteristic frequency of M-type stars and the locations of absorption bands are obtained accurately through the wavelet features of absorption bands.Finally, based on the results of the former step, the emission-line stars, M-type stars and early-type stars can be recognized.The extensive experiments with real observed spectra from the SDSS DR4 show that the method can robustly recognize stellar spectra, the correct rate of the emission-line stars is as high as 97.5%, the correct rate of M-type stars is as high as 98.1% and the correct rate of early-type stars is as high as 96.8%.The error rate of the quasars and the galaxies is less than 2%.This method is designed to automatically recognize stellar spectra with relative flux and low signal-to-noise ratio, which is applicable to the LAMOST data.
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Received: 2009-01-29
Accepted: 2009-05-06
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Corresponding Authors:
LIU Zhong-tian
E-mail: liuzht@bjtu.edu.cn
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