4 papers
Estimating the peak energy of Swift gamma-ray bursts using supervised machine learning
Wan-Peng Sun, Si-Yuan Zhu, Da-Ling Ma +1
Gamma-ray bursts (GRBs) are among the most energetic explosive phenomena in the Universe, and their peak energy () is a key physical quantity for understanding the promp…
A Practical Framework for Estimating the Repetition Likelihood of Fast Radio Bursts from Spectral Morphology
Wan-Peng Sun, Yong-Kun Zhang, Ji-Guo Zhang +6
The repeating behavior of fast radio bursts (FRBs) is regarded as a key clue to understanding their physical origin, yet reliably distinguishing repeaters from apparent non-repeate…
Cosmic baryon census with fast radio bursts and gravitational waves
Ji-Guo Zhang, Ji-Yu Song, Wan-Peng Sun +3
The cosmic baryon density fraction () is intrinsically correlated with the Hubble constant () through the critical density of the Universe. In the context of the de…
Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning
Wan-Peng Sun, Ji-Guo Zhang, Yichao Li +4
Fast radio bursts (FRBs) are enigmatic high-energy events with unknown origins, which are observationally divided into two categories, i.e., repeaters and non-repeaters. However, t…