论文标题
$ \ texttt {gwfast} $：第三代重力波检测器的Fisher信息矩阵Python代码
$\texttt{GWFAST}$: a Fisher information matrix Python code for third-generation gravitational-wave detectors
论文作者
论文摘要
我们介绍了$ \ texttt {gwfast} $，Fisher信息矩阵$ \ texttt {python} $代码，该$ code允许轻松有效地估计信噪比和参数测量错误，并对由重力波探测器网络观察到的大量分辨源目录。特别是，$ \ texttt {gwfast} $包括信号演变过程中地球运动的效果，支持并行计算，并依赖于自动差异，而不是有限差异技术，这允许计算具有接近机器精度的精度的衍生物。我们还发布了库$ \ texttt {wf4py} $以$ \ texttt {python} $实现最新的重力波形波形。在本文中，我们提供了$ \ texttt {gwfast} $和$ \ texttt {wf4py} $的文档，并提供了实践示例和性能和可靠性测试。在同伴论文中，我们介绍了第二代和第三代地面重力波检测器的检测能力的预测，该探测器以$ \ texttt {gwfast} $获得。
We introduce $\texttt{GWFAST}$, a Fisher information matrix $\texttt{Python}$ code that allows easy and efficient estimation of signal-to-noise ratios and parameter measurement errors for large catalogs of resolved sources observed by networks of gravitational-wave detectors. In particular, $\texttt{GWFAST}$ includes the effects of the Earth's motion during the evolution of the signal, supports parallel computation, and relies on automatic differentiation rather than on finite differences techniques, which allows the computation of derivatives with accuracy close to machine precision. We also release the library $\texttt{WF4Py}$ implementing state-of-the-art gravitational-wave waveforms in $\texttt{Python}$. In this paper we provide a documentation of $\texttt{GWFAST}$ and $\texttt{WF4Py}$ with practical examples and tests of performance and reliability. In a companion paper we present forecasts for the detection capabilities of the second and third generation of ground-based gravitational-wave detectors, obtained with $\texttt{GWFAST}$.
