提出一种基于统计窗的恒星连续谱拟合方法。 该方法将恒星光谱划分为若干个统计窗, 在每个窗口内根据信噪比选取一定比例的流量点, 然后对选出来的流量点进行低阶多项式迭代拟合, 从而得到连续谱。 实验表明, 与其他方法相比, 该方法得到的连续谱更接近于实际连续谱。 该方法对SDSS中除M外的各种光谱型连续谱的拟合均具有很高的实用性和鲁棒性, 对于郭守敬望远镜(LAMOST)先导巡天恒星光谱的连续谱拟合同样具有非常好的效果。

A novel statistic window based method to fit stellar continuum is proposed. First a stellar spectrum is divided into a series of statistic windows in which a certain percent of flux points is selected according to S/N ratio; then low order polynomial iteration fitting is carried out based on the selected flux points to obtain the stellar continuum. Experimental results show that the continuum obtained by the proposed method is more close to the real continuum, compared to other existed methods. This method has a better practical applicability and robustness to all kinds of spectra (except M-type spectrum) in SDSS. It also works well for Guoshoujing Telescope (LAMOST) pilot survey spectra.