论文标题
PYROQ：基于Python的降低订单正交建筑代码，用于快速重力推理
PyROQ: a Python-based Reduced Order Quadrature Building Code for Fast Gravitational Wave Inference
论文作者
论文摘要
下一代的重力波观测站将在几个Hz的顺序上达到低频限制，从而能够检测长持续时间很长的引力波信号。这些长波形的标准参数估计技术的运行时间可能是数月甚至数年，这使其与现有的贝叶斯推理管道不切实际。减少订单建模和减少订单正交集成规则最近被利用为有希望的技术，可以大大降低参数估计计算成本。我们描述了一个基于Python的减少订单正交建筑代码PYROQ，该代码构建了加速引力波参数估计所需的减少阶数正交数据。我们介绍了二进制黑孔融合的Imrphenomxphm波形模型的第一个基础，包括亚辅助谐波模式和进攻旋转效应。此外，代码基础架构使其直接适用于太空传播探测器（例如激光干涉仪空间天线（LISA））的重力波推断。
The next generation of gravitational-wave observatories will reach low frequency limits on the orders of a few Hz, thus enabling the detection of gravitational wave signals of very long duration. The run time of standard parameter estimation techniques with these long waveforms can be months or even years, making it impractical with existing Bayesian inference pipelines. Reduced order modeling and reduced order quadrature integration rule have recently been exploited as promising techniques that can greatly reduce parameter estimation computational costs. We describe a Python-based reduced order quadrature building code, PyROQ, which builds the reduced order quadrature data needed to accelerate parameter estimation of gravitational waves. We present the first bases for the IMRPhenomXPHM waveform model of binary-black-hole coalescences, including subdominant harmonic modes and precessing spins effects. Furthermore, the code infrastructure makes it directly applicable to the gravitational wave inference for space-borne detectors such as the Laser Interferometer Space Antenna (LISA).
