CAJ | 학술논문

提出一种基于 BP 神经网络及 Ca 线线指数估计恒星大气金属丰度的方法。该方法以从斯隆数字巡天 SDSS 中恒星光谱以及 SSPP 给出的参数作为训练样本，其中每条恒星光谱计算16个 Ca 线线指数，结合其他方法得到的表面有效温度 Teff 作为输入，以 SSPP 得到的金属丰度[Fe／H]作为输出，对训练样本进行重采样后通过训练得到一个人工神经网络，通过该网络可以用来预测恒星光谱的[Fe／H]。通过相关实验表明，提出的方法能够准确而且有效的测量出恒星光谱的[Fe／H]。
제출일충기우 BP 신경망락급 Ca 선선지수고계항성대기금속봉도적방법。해방법이종사륭수자순천 SDSS 중항성광보이급 SSPP 급출적삼수작위훈련양본，기중매조항성광보계산16개 Ca 선선지수，결합기타방법득도적표면유효온도 Teff 작위수입，이 SSPP 득도적금속봉도[Fe／H]작위수출，대훈련양본진행중채양후통과훈련득도일개인공신경망락，통과해망락가이용래예측항성광보적[Fe／H]。통과상관실험표명，제출적방법능구준학이차유효적측량출항성광보적[Fe／H]。
This paper presents a method to estimate stellar metallicity based on BP neural network and Ca line index.This meth-od 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 resam-pled 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.