activity
20222026
most citedClassifications of Fermi-LAT unassociated sources in multiple machine learning methods

15 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.HE2026

Modeling Gamma-Ray Burst Spectra with Convolutional Neural Networks: Fast-Cooling Synchrotron Emission in a Decaying Magnetic Field

Jia-Ming Chen, Ke-Rui Zhu, Shan Chang +3

The radiation mechanism of gamma-ray burst (GRB) prompt emission remains uncertain. Although the fast-cooling synchrotron model in a decaying magnetic field can account for the cha…

astro-ph.HE2024

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning

Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng +1

The classification of Gamma-Ray Bursts has long been an unresolved problem. Early long and short burst classification based on duration is not convincing due to the significant ove…

astro-ph.HE2024★ 2 cited

The Statistic Analysis of GeV Spectral Breaks in Bright Gamma-Ray FSRQs

K. R. Zhu, J. M. Chen, L. Zhang

We present the statistic results of GeV spectral breaks of bright gamma-ray flat-spectrum radio quasars (FSRQs) in the energy range of 0.1-10 GeV based on New Pass 8 date of the La…

astro-ph.HE2023★ 15 cited

Classifications of Fermi-LAT unassociated sources in multiple machine learning methods

K. R. Zhu, J. M. Chen, Y. G. Zheng +1

The classifications of Fermi-LAT unassociated sources are studied using multiple machine learning (ML) methods. The update data from 4FGL-DR3 are divided into high Galactic latitud…

astro-ph.HE2022★ 12 cited

Expected Signature For the Lorentz Invariance Violation Effects on Absorption

Y. G. Zheng, S. J. Kang, K. R. Zhu +2

There are still some {significant and} unanswered questions about the {incredible} {very high energy (VHE)} -ray signatures. To help understand the mechanism, focusing on the li…