一种基于二维算法的新颖的多目标光纤光谱数据处理流程

发布时间：2018-03-31 03:12

  本文选题：望远镜　切入点：仪器　出处：《天文学报》2016年01期

【摘要】：郭守敬望远镜(Large Sky Area Multi-Object Fiber Spectroscopic Telescope,LAMOST)、斯隆数字巡天(Sloan Digital Sky Survey,SDSS)、英澳望远镜(AngloAustralia Telescope,AAT)等大多数多目标光纤光谱望远镜现用的数据处理流程都是基于一维算法的.以LAMOST为例提出多目标光纤光谱数据处理流程方法.在LAMOST现用数据处理流程中,在预处理过程之后,通过基于一维模型的抽谱算法从二维观测目标光谱数据中得到一维抽谱结果作为中间数据.后续的处理步骤都基于一维模型的算法.然而,这种数据处理流程不符合观测光谱的形成机理.因此,在每个步骤中都引入了不可忽略的误差.为了解决这一问题,提出了一种还未被用于LAMOST及其他望远镜数据处理系统的新颖的数据处理流程.重新设计安排了各个数据处理模块的顺序,各关键步骤算法都是基于二维模型的.核心算法将详细论述.此外,列出了部分实验结果来证明二维算法的有效性和优越性.
[Abstract]:Large Sky Area Multi-Object Fiber Spectroscopic Telescopel LAMOSTT, Sloan Digital Sky Survey, AngloAustralia TelescopeAATA) and so on, are all based on one-dimensional algorithms.Taking LAMOST as an example, a multiobjective optical fiber spectral data processing method is presented.In the current data processing process of LAMOST, after the pretreatment process, the one-dimensional spectral data are obtained from the two-dimensional observed target spectral data by a one-dimensional spectral algorithm based on the one-dimensional model as the intermediate data.The subsequent processing steps are based on the algorithm of one-dimensional model.However, this data processing process does not conform to the formation mechanism of observational spectra.Therefore, an error that can not be ignored is introduced in each step.In order to solve this problem, a novel data processing flow is proposed which has not been used in LAMOST and other telescope data processing systems.The order of each data processing module is redesigned, and the algorithm of each key step is based on two-dimensional model.The core algorithm will be discussed in detail.In addition, some experimental results are given to demonstrate the validity and superiority of the two-dimensional algorithm.
【作者单位】： 中国科学技术大学电子工程与信息科学系;
【基金】：国家自然科学基金项目(11078016)资助
【分类号】：P111
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本文编号：1688879