论文标题
加速使用适应网格的Inspiral-Merger-Ringdown波形评估
Accelerating the evaluation of inspiral-merger-ringdown waveforms with adapted grids
论文作者
论文摘要
本文提出了一种算法,以加速对引力波数据分析的Inspral-Merger-Ringdown波形模型的评估。虽然该想法也可以应用于时域,但在这里我们关注频域,该频域通常用于降低重力波数据分析中的计算成本。我们的工作扩展了已开发出来加速频域波形的多层的概念,包括合并和铃声和球形谐波,超出了占主导地位的四极球形谐波。原始方法基于启发式算法,基于灵感来撤销用于数据分析的Equi间隔网格,其中粗网格足以准确评估波形模型。在这里,我们基于局部插值误差,使用不同的标准,如果理解其现象学,则可以更灵活,并且可以轻松地适用于一般波形。我们在Ligo算法库中讨论了现象频域模型的实现,并在紧凑型二进制系统的参数空间的不同部分中报告加速度。
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.