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arXiv · 2210.16864

Distribution of gamma-ray bursts on the t90-hardness ratio plane and their classification revisited

Liang Zhang·Juan-Juan Luo·Yong-Feng Huang·Yu-Jun Gong·Sheng Wu
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Abstract

Using four mixed bivariate distributions (Normal distribution, Skew-Normal distribution, Student distribution, Skew-Student distribution) and bootstrap re-sampling analysis, we analyze the samples of CGRO/BATSE, Swift/BAT and Fermi/GBM gamma-ray bursts in detail on the t90-hardness ratio plane. The Bayesian information criterion is used to judge the goodness of fit for each sample, comprehensively. It is found that all the three samples show a symmetric (either normal or student) distribution. It is also found that the existence of three classes of gamma-ray bursts is preferred by the three samples, but the strength of this preference varies with the sample size: when the sample size of the data set is larger, the preference of three classes scheme becomes weaker. Therefore, the appearance of an intermediate class may be caused by a small sample size and the possibility that there are only two classes of gamma-ray bursts still cannot be expelled yet. A further bootstrap re-sampling analysis also confirms this result.

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Liang Zhang, Juan-Juan Luo, Yong-Feng Huang, Yu-Jun Gong, Sheng Wu. 2022-10-30. Distribution of gamma-ray bursts on the t90-hardness ratio plane and their classification revisited. https://doi.org/10.1093/mnras%2Fstac3131

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