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arXiv 2104.04582gr-qc
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FastEMRIWaveforms:用于毫赫兹引力波数据分析的新工具

FastEMRIWaveforms: New tools for millihertz gravitational-wave data analysis

Michael L. Katz, Alvin J. K. Chua, Lorenzo Speri, Niels Warburton, Scott A. Hughes

摘要:

我们提出了FastEMRIWaveforms(FEW)包,一个工具的集合,以建立和分析极端质量比inspiral(EMRI)波形。在这里,我们扩展了物理评论快报,介绍了第一个快速,准确的完全相对论EMRI波形模板模型。我们讨论的整体框架的建设,组成模块,和用于加速EMRI波形的一般方法。由于完全相对论性的FEW模型波形现在仅限于史瓦西时空中的偏心轨道,我们还介绍了一个改进的增广解析Kludge(AAK)模型,描述通用克尔螺旋。两种波形模型都可以使用图形处理单元(GPU)硬件来加速。与GPU加速的波形在手,进行了各种研究,包括分析EMRI模式的内容,模板不匹配,和完全贝叶斯马尔可夫链蒙特卡洛为基础的EMRI参数估计。我们发现相对论性的EMRI波形模板可以产生较少的谐波模式($\sim10-100$),而无需偏置信号提取。然而,我们第一次表明,提取相对论注入半相对论振幅可能会导致强偏见和异常结构的后验分布的参数空间的某些区域。

英文摘要:

We present the FastEMRIWaveforms (FEW) package, a collection of tools to build and analyze extreme mass ratio inspiral (EMRI) waveforms. Here, we expand on the Physical Review Letter that introduced the first fast and accurate fully-relativistic EMRI waveform template model. We discuss the construction of the overall framework; constituent modules; and the general methods used to accelerate EMRI waveforms. Because the fully relativistic FEW model waveforms are for now limited to eccentric orbits in the Schwarzschild spacetime, we also introduce an improved Augmented Analytic Kludge (AAK) model that describes generic Kerr inspirals. Both waveform models can be accelerated using graphics processing unit (GPU) hardware. With the GPU-accelerated waveforms in hand, a variety of studies are performed including an analysis of EMRI mode content, template mismatch, and fully Bayesian Markov Chain Monte Carlo-based EMRI parameter estimation. We find relativistic EMRI waveform templates can be generated with fewer harmonic modes ($\sim10-100$) without biasing signal extraction. However, we show for the first time that extraction of a relativistic injection with semi-relativistic amplitudes can lead to strong bias and anomalous structure in the posterior distribution for certain regions of parameter space.

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