基于 MongoDB 的海量天文星表数据的快速时序重构研究

he explosive growth of astronomical data leads to low efficiency in the generation of astronomical time series data by traditional scientific calculation methods, which directly affects the scientific output of time domain astronomy. In this paper, we propose a fast method to authenticate the same catalog and a MongoDB-based application to reduce the distance computation. In order to solve the efficiency problem of batch time series reconstruction of large-scale astronomical catalogues, we focus on the optimization of original data access and the improvement of authentication computation speed. The experimental results show that this method can improve the efficiency of time series data generation more effectively than the traditional multi-band cross-validation algorithm and relational database method, it provides a new idea for the reconstruction of time series and the generation of light curves for the large-scale catalogue data of the time-domain astronomical time-frequency sampling telescope.