一维光谱恢复与海量光谱红移自动测量方法研究

项目名称： 一维光谱恢复与海量光谱红移自动测量方法研究

项目编号： No.U1531119

项目类型： 联合基金项目

立项/批准年度： 2016

项目学科： 天文学、地球科学

项目作者： 韩金姝

作者单位： 德州学院

项目金额： 45万元

中文摘要： 目前的LAMOST一维光谱存在信噪比偏低、连续谱与谱线流量失真、光谱中部分数据缺失等问题，导致已有的海量光谱自动测量算法效果差，影响LAMOST既定科学目标的顺利实现。基于LAMOST光谱的信号特点与物理意义，项目研究：（1）LAMOST一维光谱恢复技术，实现恢复光谱逼近真实值。包括设计噪声抑制方法；建立仪器效率曲线描述函数并估计参数；建立LAMOST一维光谱质量评价标准。其中，寻找光谱信号与噪声的区分特征是关键科学问题。（2）采用谱线匹配方法，准确快速地自动测量星系光谱红移。包括设计高红移测量方法、较低信噪比下红移测量方法、对光谱蓝、红波段分别处理来测量红移的方法。其中，特征谱线的选取、自动检测与识别是关键科学问题。项目属于天文学、模式识别和信号与信息处理的交叉学科研究，研究成果不仅满足LAMOST的需求，也可以为类似的光谱巡天项目、弱信号检测与处理及复杂信号处理提供算法参考。

中文关键词： LAMOST光谱；海量数据；光谱流量失真；自动红移测量；星系

英文摘要： At present, there are some distortions in LAMOST 1D-spectra, including lower signal-to-noise ratio, flux-distortions of continuum and spectral lines, and some data missing. The above distortions result in poor effect of the existing measurement algorithms for massive spectra, and then affect the smooth realization of the scientific goal of LAMOST. Based on the signal characteristic and physical meanings of the LAMOST spectra, in this item, we will study the follows: (1) LAMOST 1D-spectra restoration methods making a restored spectrum approximate to the true one, which consist of designing the noise suppression methods, building the describing function of effective curves and estimating the parameters, establishing evaluation standard of the LAMOST 1D-spectra. The key scientific problem is finding out the distinguishing features between the signals and noise. (2) Automatic measurements of the galaxy redshifts based on the spectral lines matching methods, which consist of designing the measurements method of higher redshifts, designing the measurements method of redshifts in lower signal-to-noise ratio, and measuring redshifts by processing the spectral blue band and red band separately. The key scientific problem is choosing, automatically detecting and recognizing the feature spectral lines. The item belongs to the interdisciplinary of astronomy, pattern recognition and signal and information processing. The research results of the item can not only meet the requirements of LAMOST, but also provide reference algorithm to other similar sky survey item, detection and processing of weaker signal, or reduction of complex signals.

英文关键词： LAMOST spectrum;massive data;flux-distoration of the spectrum;automatic redshift measurements ;galaxy