Research of LAMOST Dataflow Designation and Spectral Quality Control

Guo Shoujing telescope(LAMOST) produces massive observational data every day. Data processing involves a series of processes, such as observation program generation, two dimensional data reduction and one dimensional data analysis, parameter measurement, quality control and data releases. In order to obtain, process, analyze and release data more efficiently and solve problems happened during data processing in a timely manner, the research of the LAMOST data flow designation and spectral quality control are carried out. Firstly, we intensively study the LAMOST dataflow and workflow. By combining the relational database, data modeling is fulfilled and the database system is realized based on MySQL, and the data processing and releasing segments are integrated organically. Then, ground on the former system, we define the spectral quality control model and establish the spectral quality control system to strictly control the spectral quality and spectra output, so as to provide guarantee for the releases of high-quality spectral resources. This system can meet the needs of LAMOST data processing and data management, and is an effective scheme that can be extended to similar telescope systems for data storage and processing.