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arXiv 1802.01693astro-ph.HE
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再论伽马射线暴中X射线耀斑的统计

Revisiting the Statistics of X-ray Flares in Gamma-ray Bursts

Y. Wang, Y. Aimuratov, R. Moradi, M. Peresano, R. Ruffini, S. Shakeri

摘要:

伽马射线暴(GRB)余辉中的X射线耀斑的统计特性已被广泛研究,而没有考虑每个耀斑可能的不同起源。通过满足六个观测标准,我们发现由\textit{Swift}卫星观测到的$16$长伽玛暴组成的样本可能具有相同的起源。通过应用马尔可夫链蒙特卡罗迭代和机器学习算法(局部加权回归和高斯过程回归),令人印象深刻的是,这些伽玛暴中的耀斑与瞬发辐射中释放的能量表现出很强的相关性。这些相关性在以前的论文中从未被发现,并且它们不能很好地被以前的模型解释。这些相关性意味着瞬发辐射和X射线耀斑不是独立的,它们可能是按照相同的顺序起源的。新的THESUS卫星将为我们提供更大的样本和更详细的光谱,以完善我们在本文中获得的结果。

英文摘要:

The statistics of X-ray flares in the afterglow of gamma-ray bursts (GRBs) have been studied extensively without considering the possible different origins of each flare. By satisfying six observational criteria, we find a sample composed of $16$ long GRBs observed by \textit{Swift} satellite may share a same origin. By applying the Markov chain Monte Carlo iteration and the machine learning algorithms (locally weighted regression and Gaussian process regression), impressively, the flares in these GRBs show strong correlations with the energy released in the prompt emission. These correlations were never discovered in previous papers, and they could not be well explained by previous models. These correlations imply that the prompt emission and the X-ray flare are not independent, they may be originated following a same sequence. The new THESUS satellite will provide us a larger sample and more detailed spectra to refine the results we obtained in this article.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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