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arXiv 2107.09536gr-qc
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使用angular momentum测试重力波形模型

Testing gravitational waveform models using angular momentum

Neev Khera, Abhay Ashtekar, Badri Krishnan

摘要:

探测器灵敏度的预期增强和相应的引力波探测次数的增加,将使人们有可能在假设广义相对论(GR)的情况下,以更高的精度估计致密双星的参数,并对GR本身进行更精确的测试。这些程序的关键是精确的重力波形模型。模型的系统误差必须保持在统计误差以下,以防止参数估计中的偏差,并进行有意义的GR测试。对数值相关性(NR)波形的模型比较提供了一个很好的测量系统误差。一种补充方法是使用爱因斯坦方程提供的平衡定律来测量候选波形相对于精确GR的忠实性。每个平衡定律关注物理可观测值,并测量候选波形相对于该可观测值的准确性。因此,这种分析可以为误差源提供新的物理见解。本文主要研究了角动量平衡定律,利用后牛顿理论计算初始角动量,通过替代拟合得到剩余自旋,通过模型波形计算通量。角动量平衡定律提供的一致性检查带来了显着的改善,从\texttt{IMRPhenomPv2}到\texttt{IMRPhenomXPHM}和从\texttt{SEOBNRv3}到\texttt{SEOBNRv4PHM}的通道,并表明,最近的版本同意相当不错的精确GR。对于旋进系统,另一方面,我们发现,有进一步改进的空间,特别是对于现象模型。

英文摘要:

The anticipated enhancements in detector sensitivity and the corresponding increase in the number of gravitational wave detections will make it possible to estimate parameters of compact binaries with greater accuracy assuming general relativity(GR), and also to carry out sharper tests of GR itself. Crucial to these procedures are accurate gravitational waveform models. The systematic errors of the models must stay below statistical errors to prevent biases in parameter estimation and to carry out meaningful tests of GR. Comparisons of the models against numerical relativity (NR) waveforms provide an excellent measure of systematic errors. A complementary approach is to use balance laws provided by Einstein's equations to measure faithfulness of a candidate waveform against exact GR. Each balance law focuses on a physical observable and measures the accuracy of the candidate waveform vis a vis that observable. Therefore, this analysis can provide new physical insights into sources of errors. In this paper we focus on the angular momentum balance law, using post-Newtonian theory to calculate the initial angular momentum, surrogate fits to obtain the remnant spin and waveforms from models to calculate the flux. The consistency check provided by the angular momentum balance law brings out the marked improvement in the passage from \texttt{IMRPhenomPv2} to \texttt{IMRPhenomXPHM} and from \texttt{SEOBNRv3} to \texttt{SEOBNRv4PHM} and shows that the most recent versions agree quite well with exact GR. For precessing systems, on the other hand, we find that there is room for further improvement, especially for the Phenom models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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