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arXiv 2006.11525gr-qcastro-ph.CO
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绘制宇宙膨胀图:用单个双星中子星合并探测实现哈勃常数的100 - 100级测量

Mapping the Universe Expansion: Enabling percent-level measurements of the Hubble Constant with a single binary neutron-star merger detection

Juan Calderón Bustillo, Samson H. W. Leong, Tim Dietrich, Paul D. Lasky

摘要:

对中子星合并双星GW 170817的引力波和电磁信号的联合观测,使得能够对哈勃常数$H_0$进行新的独立测量,尽管在1 $σ$时的不确定性约为15%。利用未来探测器网络对类似源进行观测,将能够对$H_0$进行更精确的测量。然而,这些,目前在很大程度上受到引力波信号中的亮度距离和源的倾斜度之间的固有简并性的限制。我们表明,在引力波的高阶模式可以用来打破这种退化的天体物理参数估计的螺旋和合并后阶段的中子星合并。我们表明,在类似的距离GW 170817的系统,这种方法使$H_0$的单次检测的水平测量。这将允许以前所未有的精度研究$H_0$的时间变化和空间各向异性。我们研究了不同的网络配置如何影响$H_0$的测量,并讨论了所提出的2.5和第三代引力波探测器的科学驱动程序方面的影响。最后,我们表明,与这些未来的天文台测量的$H_0$的精度将仅限于电磁同行的红移测量。

英文摘要:

The joint observation of the gravitational-wave and electromagnetic signal from the binary neutron-star merger GW170817 allowed for a new independent measurement of the Hubble constant $H_0$, albeit with an uncertainty of about 15\% at 1$σ$. Observations of similar sources with a network of future detectors will allow for more precise measurements of $H_0$. These, however, are currently largely limited by the intrinsic degeneracy between the luminosity distance and the inclination of the source in the gravitational-wave signal. We show that the higher-order modes in gravitational waves can be used to break this degeneracy in astrophysical parameter estimation in both the inspiral and post-merger phases of a neutron star merger. We show that for systems at distances similar to GW170817, this method enables percent-level measurements of $H_0$ with a single detection. This would permit the study of time variations and spatial anisotropies of $H_0$ with unprecedented precision. We investigate how different network configurations affect measurements of $H_0$, and discuss the implications in terms of science drivers for the proposed 2.5- and third-generation gravitational-wave detectors. Finally, we show that the precision of $H_0$ measured with these future observatories will be solely limited by redshift measurements of electromagnetic counterparts.

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