High-Density Sound Speed and Post-Merger Dynamics
高密度声速与并合后动力学
The density dependence of the speed of sound in cold neutron star matter remains poorly constrained and is central to determining the high-density equation of state (EOS). While binary neutron star (BNS) merger simulations increasingly incorporate detailed microphysics, the direct impact of the sound-speed in the neutron star core on observable signatures has not been systematically explored. We address this by introducing a simplified parametrization that suppresses microphysics while allowing controlled variation of the sound speed at supranuclear densities through its derivative with respect to the baryon chemical potential. Using the WhiskyTHC code, we perform a suite of fully relativistic BNS merger simulations and identify correlations between the sound-speed slope parameter and key merger outcomes, including remnant properties and post-merger GW frequencies. These results demonstrate that multimessenger observables are sensitive to the behavior of matter at the highest densities reached in neutron star cores. We further analyze gravitational-wave signals from the CoRe database of binary neutron star merger simulations employing more realistic equations of state. Our analysis reveals approximately EOS-independent relations between the derivative of the sound speed and the peak post-merger gravitational-wave frequency. Although these relations cannot be considered truly quasi-universal, they nonetheless indicate that post-merger gravitational waves retain measurable information about the EOS at he highest densities. At the same time, the remaining EOS dependence highlights the difficulty of isolating the underlying high-density physics and motivates the development of targeted parameterized frameworks for interpreting future multimessenger observations.
展开 ▾创新性地用参数化声速模型隔离高密度物态效应,系统研究了其对并合后多信使信号的影响;发现并合后峰值频率与音速积分量间的准通用关系,为提取最高密度物态信息提供新途径。
过去研究多基于潮汐形变等宏观量建立准通用关系,但这些量主要敏感于核饱和密度附近的物态Bauswein+ 2012。近期IPAD-TOV框架通过定义本征变量X和Ψ,构造了能直接编码高密度声速积分信息的参数D̃Cai+ 2025。本文以此为基础,引入可控声速斜率的简化模型,通过全相对论模拟揭示了f_pk与声速微分参数的近线性依赖,并进一步在CoRe数据库中验证了D̃与f_pk的近似EOS无关标度关系,表明并合后引力波确实携带了超出潮汐形变所能给出的最高密度信息。未来,这类参数化方法可拓展至更多声速特征参数,并用于训练代理模型或神经网络仿真器,从而高效联合多信使数据约束极端密度物态方程。
预印本 2026-07-17 · 收录 2026-07-20