Automatic Stellar Spectrum Parameter Measurement Based on Similarity Measure
LIU Jie1, PAN Jing-chang1*, WEI Peng2, LIU Meng1, LUO A-li2
1. School of Mechanical, Electrical & Information Engineering, Shandong University at Weihai, Weihai 264209, China 2. Key Laboratory of Optical Astronomy, NAOC, Chinese Academy of Sciences, Beijing 100012, China
Abstract：In stellar spectral processing, template matching method can be used to obtain comparably ideal results of stellar spectrum parameters by using pattern recognition algorithms, without computing the spectral line-index. The present paper proposed a similarity based method to measure stellar spectrum parameters automatically. First, the continuum normalization was made, and then the similarities between the stellar spectrum and the template spectrum were compared to get more accurate stellar spectrum parameters. Experiments on ELODIE spectrum showed that this method is ideal in efficiently obtaining stellar spectrum parameters.
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