| Gamma-ray sources from the universe are essential to study and understand the universe.The Gamma-ray transient sources such as Gamma-Ray Burst(GRB),Soft Gamma-ray Repeaters(SGR),gravitational wave high-energy electromagnetic counterpart,and Fast Radio Burst(FRB)high-energy counterpart are important types in high energy astrophysics.How to quickly search and accurately find gamma-ray transients in observation data is also an important research content in the current era of big data.In this thesis,we research the Gamma-ray transient sources from the perspectives of data processing,mathematical statistics,and physical analysis.The first chapter of this thesis introduces the types of Gamma-ray transient sources,the Fermi Gamma-Ray Burst Monitor,and the process of searching for Gamma-ray transient sources.The second chapter introduces the algorithms used to identify the Gamma-ray transient sources,including the Bayesian blocks algorithm,Baseline algorithm,and Whittaker Smoother algorithm.The third chapter introduces the search codes we developed,including identifying explosion and localization using the instrument response matrix in real-time.Through our codes,we performed a comprehensive search on the bursts of the concerned source of SGR J1935 +2154,which is associated with FRB.We use relevant data processing and analysis methods to observe and study multiple high-energy astrophysical transient sources in Chapter 4.Most of the results are published in the most popular scientific journals such as Nature,Nature Astronomy,and Astrophysical Journal Letters. |