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arXiv 1702.02053gr-qcastro-ph.HE
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综合数值相对论--为改进双中子星系统波形模型提供信息的有效单体比较

Comprehensive numerical relativity -- effective-one-body comparison to inform improvements in waveform models for binary neutron star systems

Tim Dietrich, Tanja Hinderer

摘要:

本文对非自旋双星中子星系统的潮汐有效单体(EOB)模型和最新的数值相对论模拟进行了详细的比较。这种比较是最广泛的一个日期,涵盖了广泛的参数空间,包括能源的二进制,近星点的进步,时间和频率的演变的引力波阶段的主导模式,和几个次主导模式。我们考虑了不同的EOB模型与潮汐的影响,已经提出,包括模型与动力潮汐[Phys.Rev.Lett. 116(2016)no.18,181101]和[Phys.Rev.Lett. 114(2015)16号,161103]。EOB模型与动态潮汐导致这里考虑的系统的最佳表示,然而,GSF启发的模型的差异是小的。一个共同的特征是,对于物质效应较大的系统,即刚性状态方程或小的总质量,所有EOB模型都低估了潮汐效应,并且与数值相对论模拟结果的差异在合并附近变得明显。我们分析这个制度,诊断模型的缺点,在后期的inspiral,其中两个中子星不再是孤立的机构在真空中移动。我们的工作将有助于指导这些系统建模的进一步进展。

英文摘要:

We present a detailed comparison between tidal effective-one-body (EOB) models and new state-of-the-art numerical relativity simulations for non-spinning binary neutron star systems. This comparison is the most extensive one to date, covering a wide range in the parameter space and encompassing the energetics of the binary, the periastron advance, the time and frequency evolution of the gravitational wave phase for the dominant mode, and several subdominant modes. We consider different EOB models with tidal effects that have been proposed, including the model with dynamical tides of [Phys.Rev.Lett. 116 (2016) no.18, 181101] and the gravitational self-force (GSF) inspired tidal EOB model of [Phys.Rev.Lett. 114 (2015) no.16, 161103]. The EOB model with dynamical tides leads to the best representation of the systems considered here, however, the differences to the GSF-inspired model are small. A common feature is that for systems where matter effects are large, i.e. stiff equations of state or small total masses, all EOB models underestimate the tidal effects and differences to the results from numerical relativity simulations become noticeable near the merger. We analyze this regime to diagnose the shortcomings of the models in the late inspiral, where the two neutron stars are no longer isolated bodies moving in vacuum. Our work will serve to guide further advances in modeling these systems.

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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