Impact of subdominant modes on the interpretation of gravitational-wave signals from heavy binary black hole systems

Impact of subdominant modes on the interpretation of gravitational-wave signals from heavy binary black hole systems
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DOI:
10.1103/physrevd.101.124054
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发表时间:
2019-11
期刊:
影响因子:
5
通讯作者:
Feroz H. Shaik;J. Lange;Scott E. Field;R. O’Shaughnessy;V. Varma;Lawrence E. Kidder;H. Pfeiffer;D. Wysocki
Feroz H. Shaik;J. Lange;Scott E. Field;R. O’Shaughnessy;V. Varma;Lawrence E. Kidder;H. Pfeiffer;D. Wysocki
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Feroz H. Shaik;J. Lange;Scott E. Field;R. O’Shaughnessy;V. Varma;Lawrence E. Kidder;H. Pfeiffer;D. Wysocki

文献摘要

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在过去的一年里,一些新的引力波模型被开发出来,包括多个谐波模态,从而第一次实现了包括更高模态在内的完全贝叶斯推理研究。利用近年来建立的数值相对论替代模型NRHybSur3dq8,我们研究了高阶模对合并大质量双黑洞参数推断的重要性。我们将重点放在与当前的三探测器观测站网络相关的例子上,其中探测器框架质量和信号幅度与未来几次观测运行的合理候选者一致。我们表明,对于这样的系统,更高的模式含量对于解释合并双黑洞,减少系统偏差和计算残余物体的特性将是重要的。对于质量比$q>1$的非对称双星,高模态是关键的,它们的遗漏通常会产生大量的参数偏差。即使对于质量相当的双星和低信号振幅,省略高模态也会影响后验概率分布。我们讨论了我们的结果对广义相对论的源总体推断和自洽检验的影响。
Over the past year, a handful of new gravitational wave models have been developed to include multiple harmonic modes thereby enabling for the first time fully Bayesian inference studies including higher modes to be performed. Using one recently-developed numerical relativity surrogate model, NRHybSur3dq8, we investigate the importance of higher modes on parameter inference of coalescing massive binary black holes. We focus on examples relevant to the current three-detector network of observatories, with detector-frame masses and signal amplitudes consistent with plausible candidates for the next few observing runs. We show that for such systems the higher mode content will be important for interpreting coalescing binary black holes, reducing systematic bias, and computing properties of the remnant object. For asymmetric binaries with mass ratios $q>1$, higher modes are critical, and their omission usually produces substantial parameter biases. Even for comparable-mass binaries and at low signal amplitude, the omission of higher modes can influence posterior probability distributions. We discuss the impact of our results on source population inference and self-consistency tests of general relativity.