Dynamical tides during the inspiral of rapidly spinning neutron stars: Solutions beyond mode resonance

arxiv(2024)

引用 0|浏览0
暂无评分
摘要
We investigate the dynamical tide in coalescing binaries involving neutron stars (NSs). The deformed NS is assumed to spin rapidly, with its spin axis anti-aligned with the orbit. Such an NS may exist if the binary forms dynamically, and it can lead to a strong tide because the NS f-mode can be resonantly excited during the inspiral. We present a new analytical solution for the f-mode resonance by decomposing the tide into a resummed equilibrium component varying at the forcing frequency and a dynamical component varying at the mode eigenfrequency. This solution simplifies numerical implementations by avoiding the subtraction of two diverging terms. It also extends the solution's validity to frequencies beyond mode resonance. When the dynamical tide back reacts on the orbit, the effective Love number alone is insufficient because it does not capture the tidal torque on the orbit that dominates the back reaction during resonance. An additional dressing factor is therefore introduced to model the torque. The dissipative interaction between the NS and the orbital mass multipoles is computed including the dynamical tide and shown to be subdominant compared to the conservative interaction. We show that orbital phase shifts caused by the l=3 and l=2 f-modes can reach 0.5 and 10 radians at their respective resonances. Because of the large impact of the dynamical tide, a linearized description becomes insufficient, calling for future developments to incorporate higher-order corrections. After mode excitation, the orbit cannot remain quasi-circular, and the eccentricity excited by the l=2 dynamical tide can approach nearly e≃ 0.1, leading to non-monotonic frequency evolution. Lastly, we demonstrate that the GW radiation from the resonantly excited f-mode alone can be detected with a signal-to-noise ratio exceeding unity at a distance of 50 Mpc with the next-generation GW detectors.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要