用$\texttt{GWFAST}$预测第三代引力波探测器的探测能力
Forecasting the detection capabilities of third-generation gravitational-wave detectors using $\texttt{GWFAST}$
摘要：
我们介绍$\texttt{GWFAST}$，一个新的引力波研究的费舍尔矩阵代码，调整到第三代引力波探测器，如爱因斯坦望远镜（ET）和宇宙探测器（CE）。我们用它来执行一个全面的研究的能力，ET单独的，由ET和两个CE探测器的网络，以及提供预测即将到来的O 4运行的LVK合作。我们考虑了中子星双星、黑洞双星和中子星-黑洞双星系统，计算了它们的基本指标，如信噪比（SNR）的分布、各种参数的重建精度（包括距离、天空定位、质量、自旋，对于中子星，还包括潮汐形变），以及不同信噪比阈值和不同定位、测距精度下的探测结果的红移分布。我们研究的预期分布和属性的“黄金事件”，特别是大值的SNR。我们还特别注意依赖的结果对天体物理的不确定性和各种技术细节（如选择的波形，或在SNR的阈值），我们比较与其他Fisher码在文献中。在配套文件中，我们讨论了代码的技术方面。与本文一起，我们在https：//github.com/CosmoStatGW/gwfast上公开发布了代码$\texttt{GWFAST}$，并在https://github.com/CosmoStatGW/WF4Py上发布了在纯$\texttt{Python}$中实现最先进的引力波波形的库$\texttt{WF4Py}$。
英文摘要：
We introduce $\texttt{GWFAST}$, a novel Fisher-matrix code for gravitational-wave studies, tuned toward third-generation gravitational-wave detectors such as Einstein Telescope (ET) and Cosmic Explorer (CE). We use it to perform a comprehensive study of the capabilities of ET alone, and of a network made by ET and two CE detectors, as well as to provide forecasts for the forthcoming O4 run of the LVK collaboration. We consider binary neutron stars, binary black holes and neutron star-black hole binaries, and compute basic metrics such as the distribution of signal-to-noise ratio (SNR), the accuracy in the reconstruction of various parameters (including distance, sky localization, masses, spins and, for neutron stars, tidal deformabilities), and the redshift distribution of the detections for different thresholds in SNR and different levels of accuracy in localization and distance measurement. We examine the expected distribution and properties of `golden events', with especially large values of the SNR. We also pay special attention to the dependence of the results on astrophysical uncertainties and on various technical details (such as choice of waveforms, or the threshold in SNR), and we compare with other Fisher codes in the literature. In a companion paper we discuss the technical aspects of the code. Together with this paper, we publicly release the code $\texttt{GWFAST}$ at https://github.com/CosmoStatGW/gwfast, and the library $\texttt{WF4Py}$ implementing state-of-the-art gravitational-wave waveforms in pure $\texttt{Python}$ at https://github.com/CosmoStatGW/WF4Py.
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