GWFish：一种用于评估引力波探测器网络参数估计能力的模拟软件
GWFish: A simulation software to evaluate parameter-estimation capabilities of gravitational-wave detector networks
AI总结：
本文提出GWFish软件，基于Fisher矩阵近似模拟引力波探测器网络并计算测量不确定性，支持多频段场景分析，为未来引力波探测器的参数估计能力评估提供工具。
摘要：
规划未来引力波（GW）探测器及其构成网络的重要一步是评估其探测与参数估计能力，这是科学案例研究的基础。目前已提出或正在研发多种未来GW探测器，它们可能会并行运行和观测。这些探测器包括地面、月球和空间探测器。本文提出了GWFish，一种用于模拟GW探测器网络并基于Fisher矩阵近似计算测量不确定性的新软件。GWFish对探测器运动对PE的影响进行建模，并使得分析多频段场景成为可能，即由不同探测器在不同频段观测同一GW信号。我们展示了Einstein Telescope（ET）的几个示例，包括双中子星的 sky-localization 以及 ET 测量 GW 极化的能力。
英文摘要：
An important step in the planning of future gravitational-wave (GW) detectors and of the networks they will form is the estimation of their detection and parameter-estimation capabilities, which is the basis of science-case studies. Several future GW detectors have been proposed or are under development, which might also operate and observe in parallel. These detectors include terrestrial, lunar, and space-borne detectors. In this paper, we present GWFish, a new software to simulate GW detector networks and to calculate measurement uncertainties based on the Fisher-matrix approximation. GWFish models the impact of detector motion on PE and makes it possible to analyze multiband scenarios, i.e., observation of a GW signal by different detectors in different frequency bands. We showcase a few examples for the Einstein Telescope (ET) including the sky-localization of binary neutron stars, and ET's capability to measure the polarization of GWs.
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