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arXiv 2512.08098gr-qcastro-ph.HE
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高阶环形震荡拟合:起始时间、无发测试与相关性

High-overtone ringdown fits: start time, no-hair tests, and correlations

Erin Coleman, Eliot Finch

AI总结:

本文研究高阶谐波在环形震荡拟合中的实际效用,探讨其对起始时间、无发测试及相关性的影响,并通过贝叶斯方法分析高阶谐波振幅与相位的相关性。

摘要:

高阶谐波已被证明能提高对环形震荡的拟合性能,这在数值相对论模拟和引力波观测中都得到了验证。尽管高阶谐波频率是广义相对论的具体预测,但仍然存在一个开放性问题,即它们是否会被激发到足以使拟合结果表明的程度。在本工作中,我们采取务实的方法,研究每个额外高阶谐波在从环形震荡中提取信息方面的实际效用。我们考察了环形震荡起始时间对高阶谐波数量的依赖性,以及检测环形震荡频率偏离广义相对论的可行性。我们建议并不存在一个明确的“最大”高阶谐波,而是每个额外的高阶谐波的效用相对于前一个会降低。最后,我们通过贝叶斯参数估计(而不是最小二乘拟合)来获得高阶谐波振幅和相位的后验分布,使我们能够研究其相关结构。由于强相关性,测量最高高阶谐波的个体振幅和相位变得越来越困难。然而,我们发现高阶谐波振幅的联合测量(即相关结构本身)对甚至最高高阶谐波的频率和衰减时间敏感,可能为与广义相对论进行一致性测试提供了一条途径。

英文摘要:

Overtones are known to improve the performance of fits to the ringdown, both in numerical-relativity simulations and gravitational-wave observations. Although the overtone frequencies are a concrete prediction of general relativity, it remains an open question whether they are excited to the extent that fits would suggest. In this work, we take a pragmatic approach and investigate the practical utility of each additional overtone in extracting information from the ringdown. We look at the dependence of the ringdown start time on the number of overtones, and the feasibility of detecting deviations from general relativity in the ringdown frequencies. We suggest that there is no clear "maximum" overtone, but rather the utility of each additional overtone decreases compared to the one before. Finally, we perform Bayesian parameter estimation (as opposed to least-squares fits) to obtain posterior distributions on the overtone amplitudes and phases, allowing us to investigate their correlation structure. Due to strong correlations it becomes increasingly hard to measure individual amplitudes and phases for the highest overtones. However, we find that the joint measurement of overtone amplitudes (i.e., the correlation structure itself) is sensitive to the frequencies and decay times of even the highest overtones, possibly offering an avenue to perform consistency tests with general relativity.

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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