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arXiv 1807.08016gr-qc
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高阶潮汐项对双星中子星波形的影响

Impact of high-order tidal terms on binary neutron-star waveforms

Xisco Jimenez-Forteza, Tiziano Abdelsalhin, Paolo Pani, Leonardo Gualtieri

摘要:

GW 170817是起源于中子星并合的里程碑式引力波事件,科学界通过提取引力波波形中的首阶潮汐变形项,对中子星的物态方程进行了约束。在这里,我们将潮汐修正纳入到次领先和次领先的引力波相位中,包括磁潮汐Love数,尾部效应和Tiziano Abdelsalhin最近计算的自旋潮汐耦合[Phys. Rev. D 98,104046(2018)]。这些效应尚未纳入GW 170817分析的波形近似值中。我们提供了一个定性和定量的分析,这些新的条款的影响,通过研究与GW 170817假设第二代(先进的LIGO)和第三代(爱因斯坦望远镜)地基引力波干涉仪兼容的事件引起的参数偏差。我们发现,包括潮尾项恶化后牛顿展开在相关的频率范围内的收敛特性。我们还发现,磁潮汐勒夫数的影响,可以测量的最佳信噪比$ρ\approx 1750$与爱因斯坦望远镜检测的GW 170817事件。同样,如果自然界中存在轻度高自旋的$χ\gtrsim 0.1$中子星双星,自旋-潮汐耦合可能是相关的。

英文摘要:

GW170817, the milestone gravitational-wave event originated from a binary neutron star merger, has allowed scientific community to place a constraint on the equation of state of neutron stars by extracting the leading-order, tidal-deformability term from the gravitational waveform. Here we incorporate tidal corrections to the gravitational-wave phase at next-to-leading and next-to-next-to-leading order, including the magnetic tidal Love numbers, tail effects, and the spin-tidal couplings recently computed in Tiziano Abdelsalhin [Phys. Rev. D 98, 104046 (2018)]. These effects have not yet been included in the waveform approximants for the analysis of GW170817. We provide a qualitative and quantitative analysis of the impact of these new terms by studying the parameter bias induced on events compatible with GW170817 assuming second-generation (advanced LIGO) and third-generation (Einstein Telescope) ground-based gravitational-wave interferometers. We find that including the tidal-tail term deteriorates the convergence properties of the post-Newtonian expansion in the relevant frequency range. We also find that the effect of magnetic tidal Love numbers could be measurable for an optimal GW170817 event with signal-to-noise ratio $ρ\approx 1750$ detected with the Einstein Telescope. On the same line, spin-tidal couplings may be relevant if mildly high-spin $χ\gtrsim 0.1$ neutron star binaries exist in nature.

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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