Spectroscopy and Spectral Analysis, Volume. 35, Issue 9, 2650(2015)
A Method to Estimate Metal Abundance from Stellar Spectra Using Ca Line Index
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.
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PAN Jing-chang, LUO A-li, LI Xiang-ru, WEI Peng. A Method to Estimate Metal Abundance from Stellar Spectra Using Ca Line Index[J]. Spectroscopy and Spectral Analysis, 2015, 35(9): 2650
Received: Apr. 7, 2014
Accepted: --
Published Online: Jan. 25, 2016
The Author Email: Jing-chang PAN (pjc@sdu.edu.cn)