Liu Zhong-Tian, Li Xiang-Ru, Wu Fu-Chao, Zhao Yong-Heng
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2006 Sep;26(9):1738-41.
The LAMOST project, the world's largest sky survey project being implemented in China, is expected to obtain 10(5) quasar spectra. The main objective of the present article is to explore methods that can be used to estimate the redshifts of quasar spectra from LAMOST. Firstly, the features of the broad emission lines are extracted from the quasar spectra to overcome the disadvantage of low signal-to-noise ratio. Then the redshifts of quasar spectra can be estimated by using the multi-scaling feature matching. The experiment with the 15, 715 quasars from the SDSS DR2 shows that the correct rate of redshift estimated by the method is 95.13% within an error range of 0. 02. This method was designed to obtain the redshifts of quasar spectra with relative flux and a low signal-to-noise ratio, which is applicable to the LAMOST data and helps to study quasars and the large-scale structure of the universe etc.
大天区面积多目标光纤光谱天文望远镜(LAMOST)项目是目前在中国实施的世界上最大的巡天项目,预计将获取10(5)个类星体光谱。本文的主要目的是探索可用于估计LAMOST类星体光谱红移的方法。首先,从类星体光谱中提取宽发射线的特征,以克服信噪比低的缺点。然后可以使用多尺度特征匹配来估计类星体光谱的红移。对斯隆数字巡天(SDSS)DR2中的15715个类星体进行的实验表明,该方法在0.02的误差范围内估计红移的正确率为95.13%。该方法旨在获取具有相对流量和低信噪比的类星体光谱的红移,适用于LAMOST数据,有助于研究类星体和宇宙的大尺度结构等。