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Statistical and systematic errors for gravitational-wave inspiral signals: A principal component analysis

机译:引力波激励信号的统计和系统误差:主成分分析

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摘要

Identifying the source parameters from a gravitational-wave measurement alone is limited by our ability to discriminate signals from different sources and the accuracy of the waveform family employed in the search. Here we address both issues in the framework of an adapted coordinate system that allows for linear Fisher-matrix type calculations of waveform differences that are both accurate and computationally very efficient. We investigate statistical errors by using principal component analysis of the post-Newtonian (PN) expansion coefficients, which is well conditioned despite the Fisher matrix becoming ill conditioned for larger numbers of parameters. We identify which combinations of physical parameters are most effectively measured by gravitational-wave detectors for systems of neutron stars and black holes with aligned spin. We confirm the expectation that the dominant parameter of the inspiral waveform is the chirp mass. The next dominant parameter depends on a combination of the spin and the symmetric mass ratio. In addition, we can study the systematic effect of various spin contributions to the PN phasing within the same parametrization, showing that the inclusion of spin-orbit corrections up to next-to-leading order, but not necessarily of spin-spin contributions, is crucial for an accurate inspiral waveform model. This understanding of the waveform structure throughout the parameter space is important to set up an efficient search strategy and correctly interpret future gravitational-wave observations.
机译:仅从重力波测量中识别源参数受到我们区分来自不同源的信号的能力以及搜索中使用的波形族的准确性的限制。在这里,我们在自适应坐标系的框架内解决这两个问题,该坐标系允许对波形差异进行线性费舍尔矩阵类型的计算,既精确又计算效率很高。我们通过使用后牛顿(PN)膨胀系数的主成分分析来调查统计误差,尽管费舍尔矩阵因大量参数而变得不适,但其条件良好。我们确定重力波探测器最有效地测量了哪些物理参数组合,以用于中子星和自对准的黑洞系统。我们确认了这样的期望:吸气波形的主要参数是线性调频质量。下一个主要参数取决于自旋和对称质量比的组合。此外,我们可以研究在同一参数化过程中各种自旋贡献对PN相位的系统影响,这表明自旋轨道校正直到下一个领先顺序都包括在内,但不一定包括自旋-自旋贡献。对于准确的吸气波形模型至关重要。对整个参数空间中的波形结构的这种理解对于建立有效的搜索策略并正确解释未来的重力波观测非常重要。

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