Design And Implementation Of Gamma Burst Triggered Outbreak Data Management System

The discovery of gravitational waves marks the beginning of a new era in particle physics and astrophysics,and is awarded the Nobel Prize in physics in 2017,which demonstrate that the exploration of gravitational waves has scientific significance.Institute of high energy physics,Chinese Academy of Sciences,has designed and launched the GECAM satellite(the Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor),which is mainly responsible for exploring gamma-ray burst,a special kind of gravitational waves.Therefore,it has important research and application significance for the analysis and research of the information detected by the satellite and the software system released to the outside world.This thesis focuses on the data management system for gamma-ray burst triggering outbreaks,which undertakes the archival recording of gamma-ray burst and other valuable events detected by the GECAM scientific application system.This data management system receives gamma-ray burst and other related information monitored from the satellite,on the ground and from outside,and completes the tasks of information storage,update,modification and statistical tasks through the establishment of the triggering information database and release tasks information.In this thesis,the received gamma-ray burst triggering information is analyzed by clustering integration algorithm,and the corresponding parameters are optimized.Finally,a set of criteria for dividing the triggering information is obtained,and the triggering information is archived according to the criteria.The main work of this thesis is as follows:1.Clarify the requirements of the data management system for gamma-ray burst triggering outbreaks.The five core requirements of the system include information storage,management,analysis,transmission and release.Based on the completion of the core requirements,the physical requirements,functional requirements and adaptability requirements of the system are further clarified.2.Based on the requirement documents of the data management system for gamma-ray burst triggering outbreaks,an overall and logic design system design is carried out.The overall framework,module division,function design,data relationship and workflow of the software are clarified,and the detailed design documents are written,which are fully prepared for the follow-up development and testing of the system.3.The clustering integration algorithm is proposed for the first time to process gammaray burst's triggering information detected by the GECAM satellite.This algorithm is based on non-negative matrix factorization.The results of clustering integration analysis for the data transmitted from the GECAM satellite show that this algorithm is superior to other well-known single clustering algorithms.The task of dividing gamma-ray burst's triggering information clustering is completed,and the prediction model of the corresponding triggering information is generated.4.The realization of software function is based on detailed design documents.Then,the software test is carried out.First,clarify the test basis,test software situation,joint test items and their details.The last is the development summary,which includes the interaction status,development process,test situation,reliability and security analysis of the data management system for gamma-ray burst triggering outbreaks.