This paper presents an algorithm to accelerate the evaluation of inspiral-merger-ringdown waveform models for gravitational wave data analysis. While the idea can also be applied in the time domain, here we focus on the frequency domain, which is most typically used to reduced computational cost in gravitational wave data analysis. Our work extends the idea of multibanding, which has been developed to accelerate frequency domain waveforms, to include the merger and ringdown and spherical harmonics beyond the dominant quadrupole spherical harmonic. The original method is based on a heuristic algorithm based on the inspiral to de-refine the equi-spaced frequency grid used for data analysis where a coarser grid is sufficient for accurate evaluation of a waveform model. Here we use a different criterion, based on the local interpolation error, which is more flexible and can easily be adapted to general waveforms, if their phenomenology is understood. We discuss our implementation in the LIGO Algorithm Library for the PhenomXHM frequency domain model, and report the acceleration in different parts of the parameter space of compact binary systems.

中文翻译：

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使用自适应网格加速对 inspiral-merger-ringdown 波形的评估

本文提出了一种算法，用于加速引力波数据分析的螺旋合并振铃波形模型的评估。虽然这个想法也可以应用于时域，但这里我们关注频域，它最常用于降低引力波数据分析中的计算成本。我们的工作扩展了多频带的思想，该思想已被开发用于加速频域波形，将合并和衰荡以及球谐函数包括在占主导地位的四极球谐函数之外。原始方法基于启发式算法，该算法基于启发式算法对用于数据分析的等间隔频率网格进行细化，其中较粗的网格足以准确评估波形模型。这里我们使用不同的标准，基于局部插值误差，如果理解了它们的现象学，它会更灵活，并且可以很容易地适应一般波形。我们讨论了我们在 PhenomXHM 频域模型的 LIGO 算法库中的实现，并报告了紧凑二进制系统参数空间不同部分的加速度。