A Method to Estimate Metal Abundance from Stellar Spectra Using Ca Line Index
PAN Jing-chang1, LUO A-li1, 2, LI Xiang-ru3, WEI Peng2
1. School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China 2. Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China 3. South China Normal University, Guangzhou 510631, China
Abstract：This paper presents a method to estimate stellar metallicity based on BP neural network and Ca line index. This method trains a BP ANN model from SDSS/SEGUE stellar spectra and parameters provided by SSPP. The values of Teff and the line index of Ca lines are the input of network while the [Fe/H] values are the oputput of the network. A set of samples are resampled from the set of all and then a network model Is trained. The network can be used to predict the stellar metallicity from low-resolution spsectra. The experiment shows that the proposed method can accurately and effectively measure the [Fe/H] from the stellar spectra.
Key words：Stellar spectra;Stellar metallicity;LAMOST survey;Ca line index
潘景昌1, 罗阿理1, 2, 李乡儒3，韦 鹏2 . 一种基于Ca线线指数回归的恒星大气金属丰度估计方法 [J]. 光谱学与光谱分析, 2015, 35(09): 2650-2653.
PAN Jing-chang1, LUO A-li1, 2, LI Xiang-ru3, WEI Peng2 . A Method to Estimate Metal Abundance from Stellar Spectra Using Ca Line Index . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(09): 2650-2653.
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