activity
20232026
most citedApplication of Deep Learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM TTE Data

12 citations · 18 across the 13 of their papers we have counts for

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12 papers · 1 filter

astro-ph.HE2026

GECAM discovery of a peculiar magnetar X-ray burst (MXB 221120) from SGR J1935+2154 associated with a fast radio burst

Wen-Jun Tan, Yue Wang, Chen-Wei Wang +50

Fast radio bursts (FRBs) are enigmatic cosmic transients of millisecond duration observed in the radio band. The identification of FRB-associated magnetar X-ray bursts (MXBs) from…

astro-ph.HE2026

Comprehensive Measurement of Spectral Evolution in a GRB Flare: High Time-Resolution Insights into the "Double-Tracking" Phenomenon

Zheng-Hang Yu, Wen-Jun Tan, Chen-Wei Wang +41

The spectral evolution characteristics of the prompt emission in gamma-ray bursts (GRBs) have been extensively studied, but detailed investigations of spectral evolution in a GRB f…

astro-ph.HE2026

GECAM discovery of the second FRB-associated Magnetar X-ray Burst from SGR J1935+2154

Chen-Wei Wang, Shao-Lin Xiong, Yue Wang +47

Fast radio burst (FRB) is mysterious phenomenon with millisecond-duration radio pulses observed mostly from cosmological distance. The association between FRB 200428 and a magnetar…

astro-ph.HE2026

Systematic Study of the Simultaneous Events Detected by GECAM

Yang-Zhao Ren, Feng-Rong Zhu, Shao-Lin Xiong +45

GECAM is a constellation of all-sky monitors in hard X-ray and gamma-ray band primarily aimed at high energy transients such as gamma-ray bursts, soft gamma-ray repeaters, solar fl…

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.HE2025

GRB 240715A: Revealing Novel Intrinsic Mechanism by Different Individual Pulse

Wen-Jun Tan, Chen-Wei Wang, Shao-Lin Xiong +37

The Space-based multiband astronomical Variable Objects Monitor (SVOM), detected its first short gamma-ray burst, GRB 240715A, in-flight, which was jointly observed by Fermi. Based…

astro-ph.HE2025★ 5 cited

Unveil A Peculiar Light Curve Pattern of Magnetar Burst with GECAM observations of SGR J1935+2154

Yue Wang, Chen-Wei Wang, Shaolin Xiong +28

Magnetar X-ray Burst (MXB) is usually composed of a single pulse or multiple pulses with rapid rise and brief duration mostly observed in hard X-ray (soft gamma-ray) band. Previous…

astro-ph.HE2025

GECAM Discovery of Peculiar Oscillating Particle Precipitation Events

Chenwei Wang, Shaolin Xiong, Yi Zhao +52

Charged particle precipitation typically manifests as a gradual increase and decrease of flux observed by space detectors. Cases with rapidly flux variation are very rare. Periodic…

astro-ph.HE2025

Evolution of the Three Spectral Components in the Prompt Emission of GRB 240825A

Chen-Wei Wang, Wen-Jun Tan, Shao-Lin Xiong +17

The prompt emission of Gamma-Ray Bursts (GRBs) could be composed of different spectral components, such as a dominant non-thermal Band component in the keV-MeV range, a subdominant…

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…

astro-ph.HE2023★ 12 cited

Application of Deep Learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM TTE Data

Peng Zhang, Bing Li, RenZhou Gui +10

To investigate GRBs in depth, it is crucial to develop an effective method for identifying GRBs accurately. Current criteria, e.g., onboard blind search, ground blind search, and t…