arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1901.08262astro-ph.HE
收藏

双星中子星合GW170817 X射线谱的贝叶斯分析

Bayesian Analysis on the X-ray Spectra of the Binary Neutron Star Merger GW170817

En-Tzu Lin, Hoi-Fung Yu, Albert K. H. Kong

摘要:

首次对Chandra X射线天文台观测到的GW 170817/GRB 17017 A的X射线余辉数据进行了贝叶斯时间分辨光谱研究。这些数据集包括所有12个公共数据集,从$\rm t \sim 9~d$最早的观测到合并后$\rm \sim 359~d$的最新观测。虽然我们的结果是一致的其他作品使用现金统计的不确定性,贝叶斯分析,我们在这项工作中进行了高斯样的参数分布。我们还得到了参数的不确定性直接从他们的后验概率分布。我们能够确认,在整个长达一年的观测期间,$Γ\sim 1.6$的幂律光子指数保持不变,除了在$\rm t = 8.9~d$观测到的第一个数据集外,当时$Γ=1.04\pm0.44$略硬。我们还发现,未吸收的X射线通量在$\rm t \sim 155~d$达到峰值,与Piro等人(2018)最近提出的X射线耀斑模型在时间上一致。自合并后的$\sim160$天以来,X射线通量一直在减弱,并在一年后恢复到首次发现的水平。结果表明,GW 170817/GRB 170817 A的X射线谱符合简单的幂律分布,这是由非热慢冷同步辐射引起的。

英文摘要:

For the first time, we present a Bayesian time-resolved spectral study of the X-ray afterglow datasets of GW170817/GRB17017A observed by the Chandra X-ray Observatory. These include all 12 public datasets, from the earliest observation taken at $\rm t \sim 9~d$ to the newest observation at $\rm \sim 359~d$ post-merger. While our results are consistent with the other works using Cash statistic within uncertainty, the Bayesian analysis we performed in this work have yielded Gaussian-like parameter distributions. We also obtained the parameter uncertainties directly from their posterior probability distributions. We are able to confirm that the power-law photon index has remained constant of $Γ\sim 1.6$ throughout the entire year-long observing period, except for the first dataset observed at $\rm t = 8.9~d$ when $Γ=1.04\pm0.44$ is marginally harder. We also found that the unabsorbed X-ray flux peaked at $\rm t \sim 155~d$, temporally consistent with the X-ray flare model suggested recently by Piro et al (2018). The X-ray flux has been fading since $\sim160$ days after the merger and has returned to the level as first discovered after one year. Our result shows that the X-ray spectrum of GW170817/GRB170817A is well-described by a simple power-law originated from non-thermal slow-cooling synchrotron radiation.

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。

↑