3 papers
astro-ph.IM2025
LUNCH: A Lightweight Unified Deep-Learning Framework for General Transients Classification in High-Energy Time-Domain Astronomy
Peng Zhang, Chen-Wei Wang, Zheng-Hang Yu +19
The increasing data volume of high-energy space monitors necessitates real-time, automated transient classification for multi-messenger follow-up. Conventional methods rely on empi…
astro-ph.HE2025
Advancing Identification method of Gamma-Ray Bursts with Data and Feature Enhancement
Peng Zhang, Bing Li, Ren-Zhou Gui +12
Gamma-ray bursts (GRBs) are challenging to identify due to their transient nature, complex temporal profiles, and limited observational datasets. We address this with a one-dimensi…
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…