LAMOST一期巡天重复观测源的数据分析研究

There is the last year of the LAMOST first survey and 9,700,000+ spectra corresponding to 6,800,000+ targets have been obtained until June 2016. About 1,880,000+ targets were observed for more than two times. This project concentrates on data analysis based on the most complete data set of the LAMOST first survey to establish an integration catalog identified by the target coordinate. The problem that the samples are not independent will be solved when the large samples are used for statistics study. A supplementary catalog of variable stars can be obtained in the data analysis and processing, which can provide variable samples for the astronomers interested in variables. By using the spectra energy distributions (SED) calculated from photometry, the LAMOST spectra can be calibrated to the absolute flux and the extinction residuals can be corrected. It is important to the quantitative analysis of the spectra. For the invariables, the multi-observations spectra can be co-added since the extinction residuals are corrected to improve the signal to noise ratios of the LAMOST final spectra. This project aims to provide a data set of high quality spectra for the LAMOST first survey.

LAMOST一期巡天已步入最后一年。截止到2016年6月份，LAMOST已斩获了970万条光谱，对应着680万个目标源。其中有188万个源被重复观测两次及以上。 本项目是首次针对LAMOST一期巡天数据，在最完备的数据集上，为建立一个以坐标为单位的完整星表而进行的数据分析研究， 解决利用LAMOST数据进行大样本统计，样本之间相互不独立的问题。 本项目在数据处理分析过程中，能够提供一个变星星表，为研究变星的科学用户提供数据样本。利用测光计算的SED，能够改正LAMOST光谱中的红化残差，能够将LAMOST光谱调整到物理流量单位上，这对光谱的定量分析具有重要意义。 红化残差改正之后，针对非变星，能够将多次观测光谱进行合并，提高光谱信噪比，为LAMOST一期巡天的完整星表，提供一套高质量的光谱数据集。

LAMOST一期巡天斩获了970万条光谱，对应着680万个目标源。其中有188万个源被重复观测两次及以上。本项目是首次针对LAMOST一期巡天数据，在最完备的数据集上，为建立一个以坐标为单位的完整星表而进行的数据分析研究，解决利用LAMOST数据进行大样本统计，样本之间相互不独立的问题。本项目研究了多次观测源的光谱合并处理方法和LAMOST光谱红化残差的改正问题。使用聚类算法，我们构建了一套较完备的高质量实测恒星光谱库。基于该项目的研究结果，发表论文3篇，其中 2篇SCI，一篇国内核心期刊。我们交叉证认的以Gaia坐标为单位的目标源星表在LAMOST-DR7中正式发布给科学用户。该星表将在后续的LAMOST数据发布中持续提供给科学用户。