Bayesian timing analysis of giant flare of SGR 180620 by RXTE PCA
Bayesian timing analysis of giant flare of SGR 180620 by RXTE PCA
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DOI：
10.1051/0004-6361/201015273
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发表时间：
2010-12
影响因子：
6.5
通讯作者：
V. Hambaryan;R. Neuhäuser;K. Kokkotas
中科院分区：
文献类型：
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作者：
V. Hambaryan;R. Neuhäuser;K. Kokkotas
目标。通过探测软γ射线中继站（SGR）在巨耀斑衰变尾部的高频准周期振荡（QPO）并估算其频率，通过与本征频率的理论预测比较，可以得到超致密物质状态方程（EoS）的有用约束。方法.我们使用罗西X射线定时探测器（RXTE/XTE）比例计数器阵列（PCA）在2004年12月27日收集的SGR 1806−20的巨大耀斑的数据，并应用现有的贝叶斯周期检测方法来搜索瞬态性质的振荡。结果除了已经检测到的频率外，我们还发现了一些新的频率（fQPO分别为16.9，21.4，36.4，59.0，116。3 H z），基于SGR 1806−20的APR 14 EoS预测的振荡。
Aims. By detecting high-frequency quasi-periodic oscillations (QPOs) and estimating their frequencies during the decaying tail of giant flares from soft gamma-ray repeaters (SGRs) useful constraints for the equation of state (EoS) of superdense matter may be obtained via comparison with theoretical predictions of eigenfrequencies. Methods. We used the data collected by the Rossi X-Ray Timing Explorer (RXTE/XTE) Proportional Counter Array (PCA) of a giant flare of SGR 1806−20 on 2004 Dec. 27 and applied an existing Bayesian periodicity detection method to search for oscillations of a transient nature. Results. In addition to the already detected frequencies, we found a few new frequencies (fQPOs ∼ 16.9, 21.4, 36.4, 59.0, 116. 3H z) of predicted oscillations based on the APR14 EoS for SGR 1806−20.