论文标题
量化功率光谱密度不确定性对紧凑型二进制源的重力波参数估计的影响
Quantifying the Effect of Power Spectral Density Uncertainty on Gravitational-Wave Parameter Estimation for Compact Binary Sources
论文作者
论文摘要
为了执行贝叶斯参数估计，以推断紧凑型二元凝聚力（CBC）的引力波的源特性，必须了解检测器的噪声特征。通常假定检测器噪声是固定和高斯，其特征是用无限精度测量的功率谱密度（PSD）。我们提出了一种新方法，将功率谱密度估计中的不确定性纳入二进制源参数的贝叶斯推断，并将其应用于Ligo-giogo协作报告的前11个CBC检测。我们发现，纳入PSD不确定性仅导致二进制参数后期的位置和宽度的差异在几个％的阶段。我们的结果可在Git [1]上公开下载。
In order to perform Bayesian parameter estimation to infer the source properties of gravitational waves from compact binary coalescences (CBCs), the noise characteristics of the detector must be understood. It is typically assumed that the detector noise is stationary and Gaussian, characterized by a power spectral density (PSD) that is measured with infinite precision. We present a new method to incorporate the uncertainty in the power spectral density estimation into the Bayesian inference of the binary source parameters and apply it to the first 11 CBC detections reported by the LIGO- Virgo Collaboration. We find that incorporating the PSD uncertainty only leads to variations in the positions and widths of the binary parameter posteriors on the order of a few percent. Our results are publicly available for download on git [1].
