论文标题
通过裂谷评估和边缘化紧凑的二元合并波系统系统
Assessing and marginalizing over compact binary coalescence waveform systematics with RIFT
论文作者
论文摘要
由于爱因斯坦的二进制紧凑型物体方程仅通过分析或数值方法大致或间歇性求解，因此用于推断引力波（GW）源参数的模型可能会受到波形建模不确定性。使用简单的场景，我们说明了这些差异，然后引入了一种非常有效的技术，以使波形不确定性边缘化，相对于波形模型的预先指定的序列。基于Rift，这是一个非常有效的参数推理引擎，我们的技术可以直接考虑任何可用的模型，包括非常准确但计算上昂贵的波形。我们的证据和可能性的方法在逐点上可靠地工作，从而使具有强烈不相交的后代的模型可以准确地边缘化，同时提高了中间计算的可重复性和效率。
As Einstein's equations for binary compact object inspiral have only been approximately or intermittently solved by analytic or numerical methods, the models used to infer parameters of gravitational wave (GW) sources are subject to waveform modeling uncertainty. Using a simple scenario, we illustrate these differences, then introduce a very efficient technique to marginalize over waveform uncertainties, relative to a pre-specified sequence of waveform models. Being based on RIFT, a very efficient parameter inference engine, our technique can directly account for any available models, including very accurate but computationally costly waveforms. Our evidence and likelihood-based method works robustly on a point-by-point basis, enabling accurate marginalization for models with strongly disjoint posteriors while simultaneously increasing the reusability and efficiency of our intermediate calculations.
