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astro-ph.HE2024
Advancing Gamma-Ray Burst Identification through Transfer Learning with Convolutional Neural Networks
Peng Zhang, Bing Li, Ren-zhou Gui +9
The Rapid and accurate identification of Gamma-Ray Bursts (GRBs) is crucial for unraveling their origins. However, current burst search algorithms frequently miss low-threshold sig…
astro-ph.HE2024
A new subclass of gamma-ray burst originating from compact binary merger
Chen-Wei Wang, Wen-Jun Tan, Shao-Lin Xiong +15
Type I gamma-ray bursts (GRBs) are believed to originate from compact binary merger usually with duration less than 2 seconds for the main emission. However, recent observations of…