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arXiv 0909.1093gr-qcastro-ph.HE
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旋转星核坍缩和反弹模拟的引力波爆发信号的贝叶斯重建

Bayesian reconstruction of gravitational wave burst signals from simulations of rotating stellar core collapse and bounce

Christian Röver, Marie-Anne Bizouard, Nelson Christensen, Harald Dimmelmeier, Ik Siong Heng, Renate Meyer

摘要:

本文提出了一种从恒星核坍缩和核反弹的引力波信号中提取旋转恒星核坍缩物理参数的方法。来自干涉测量引力波探测器的数据可用于提供关于原始模型的质量、坍缩前旋转和核物质状态方程的信息。我们使用广义相对论中旋转恒星核心坍缩模型的最新数值模拟所提供的波形库,并使用主成分分析从它们创建一组正交的本征向量。贝叶斯推断技术,然后用于重建相关联的引力波信号,假设被检测到的干涉检测器。后验概率分布函数推导出的主成分分析特征向量的幅度,和脉冲到达时间。我们展示了如何重建的信号和主成分分析特征向量振幅估计可能提供的信息与核心崩溃事件的物理参数。

英文摘要:

Presented in this paper is a technique that we propose for extracting the physical parameters of a rotating stellar core collapse from the observation of the associated gravitational wave signal from the collapse and core bounce. Data from interferometric gravitational wave detectors can be used to provide information on the mass of the progenitor model, precollapse rotation and the nuclear equation of state. We use waveform libraries provided by the latest numerical simulations of rotating stellar core collapse models in general relativity, and from them create an orthogonal set of eigenvectors using principal component analysis. Bayesian inference techniques are then used to reconstruct the associated gravitational wave signal that is assumed to be detected by an interferometric detector. Posterior probability distribution functions are derived for the amplitudes of the principal component analysis eigenvectors, and the pulse arrival time. We show how the reconstructed signal and the principal component analysis eigenvector amplitude estimates may provide information on the physical parameters associated with the core collapse event.

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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