Vol 24, No 2

Time-resolved Spectral Properties of Fermi-GBM Bright Long Gamma-Ray Bursts

Wan-Kai Wang, Wei Xie, Zhi-Fu Gao, Shuo Xiao, Ai-Jun Dong, Bin Zhang and Qi-Jun Zhi


The prompt emission mechanism of gamma-ray bursts (GRBs) is still unclear, and the time-resolved spectral analysis of GRBs is a powerful tool for studying their underlying physical processes. We performed a detailed time-resolved spectral analysis of 78 bright long GRB samples detected by Fermi/Gamma-ray Burst Monitor. A total of 1490 spectra were obtained and their properties were studied using a typical Band-shape model. First, the parameter distributions of the time-resolved spectrum are given as follows: the low-energy spectral index α ∼ − 0.72, high-energy spectral index β ∼ − 2.42, the peak energy Ep ∼ 221.69 keV, and the energy flux F ∼ 7.49 × 10−6 erg cm−2 s−1. More than 80% of the bursts exhibit the hardest low-energy spectral index _{\max}$ exceeding the synchrotron limit (−2/3). Second, the evolution patterns of α and Ep were statistically analyzed. The results show that for multi-pulse GRBs the intensity-tracking pattern is more common than the hard-to-soft pattern in the evolution of both Ep and α. The hard-to-soft pattern is generally shown in single-pulse GRBs or in the initial pulse of multi-pulse GRBs. Finally, we found a significant positive correlation between F and Ep, with half of the samples exhibiting a positive correlation between F and α. We discussed the spectral evolution of different radiation models. The diversity of spectral evolution patterns indicates that there may be more than one radiation mechanism occurring in the GRB radiation process, including photospheric radiation and synchrotron radiation. However, it may also involve only one radiation mechanism, but more complicated physical details need to be considered.


Key words: (stars:) gamma-ray burst: general – methods: statistical – methods: data analysis

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