基于光谱相似度的恒星大气参数自动测量方法

采用模板匹配方法进行恒星光谱的自动处理时，不需要计算光谱的线指数，而采取对全谱匹配的方法尽可能多的保存有用的信息，可得到比较理想的结果。提出一种基于光谱相似度的恒星大气参数自动测量的方法。首先对恒星光谱进行连续谱归一化，然后通过计算待测光谱和模板光谱之间的相似性来进行模板匹配，从而得到相对准确的恒星大气参数。通过ELODIE实测光谱数据和NGS理论模板库之间的实验表明，本方法可有效进行恒星大气参数的自动测量，并能得到理想的结果。

Automatic Stellar Spectrum Parameter Measurement Based on Similarity Measure

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.