论文标题
从高级LIGO和COSMIC Explorer中获得精确的状态测量方程的前景
Prospects for a precise equation of state measurement from Advanced LIGO and Cosmic Explorer
论文作者
论文摘要
中子恒星合并的重力波观测可以通过测量中子星对信号的潮汐变形性的烙印来探测状态的核方程。我们研究了未来重力波观测的能力,从而从二元中子星灵魂素中对状态方程进行精确测量。由于潮汐效应的可测量性取决于状态方程,因此我们探索了几个跨越当前观察限制的状态方程。通过模拟的高级Ligo-Virgo网络以及计划中的宇宙探险家天文台,我们产生了二进制中子星人群。我们执行贝叶斯推断以测量每个信号的参数,并结合每个人群的测量值,以确定$ r_ {1.4} $,140万美元_ {\ odot} $ Neutron Star的半径。我们发现,使用321个信号,Ligo-Virgo网络能够测量$ r_ {1.4} $,对于我们考虑的所有状态方程式,都要高于2%的精度,但是我们发现,根据国家方程和合并率,实现此精度可能需要数十年的观察。另一方面,我们发现有一年的观察,宇宙探险家将测量$ r_ {1.4} $的精度高于0.6%的精度。在这两种情况下,我们都会发现,从不正确的质量中,系统偏见可能会显着影响测量准确性,并需要努力来减轻这些影响。
Gravitational-wave observations of neutron star mergers can probe the nuclear equation of state by measuring the imprint of the neutron star's tidal deformability on the signal. We investigate the ability of future gravitational-wave observations to produce a precise measurement of the equation of state from binary neutron star inspirals. Since measurability of the tidal effect depends on the equation of state, we explore several equations of state that span current observational constraints. We generate a population of binary neutron stars as seen by a simulated Advanced LIGO-Virgo network, as well as by a planned Cosmic Explorer observatory. We perform Bayesian inference to measure the parameters of each signal, and we combine measurements across each population to determine $R_{1.4}$, the radius of a $1.4M_{\odot}$ neutron star. We find that with 321 signals the LIGO-Virgo network is able to measure $R_{1.4}$ to better than 2% precision for all equations of state we consider, however we find that achieving this precision could take decades of observation, depending on the equation of state and the merger rate. On the other hand we find that with one year of observation, Cosmic Explorer will measure $R_{1.4}$ to better than 0.6% precision. In both cases we find that systematic biases, such as from an incorrect mass prior, can significantly impact measurement accuracy and efforts will be required to mitigate these effects.