arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2512.20060gr-qc
收藏

测量偏心率并处理引力波系统误差:GW231123

Measuring Eccentricity and Addressing Waveform Systematics in GW231123

Center for Gravitational Physics, The University of Texas at Austin(德克萨斯大学奥斯汀分校引力物理中心);Center for Computational Relativity and Gravitation, Rochester Institute of Technology(罗切斯特理工学院计算相对论与引力中心)

Aasim Jan, Sophia Nicolella, Deirdre Shoemaker, Richard O'Shaughnessy

AI总结:

研究通过物理完备模型重新分析GW231123,考虑自转进动和偏心率,发现无显著偏心率证据,且排除偏心率对推断影响小。即使存在较大偏心率,也未测得显著非零偏心率。

摘要:

引力波事件GW231123_135430是LIGO--Virgo--KAGRA合作组织迄今观测到的最重双黑洞系统,初始分析表明个体黑洞质量位于或高于理论推测的配对不稳定性质量间隙(约60--130M_太阳)。推断进一步表明,两个黑洞具有高自转,测量值为0.90^{+0.10}_{-0.19}和0.80^{+0.20}_{-0.51}。因此,该事件的观测表明黑洞形成可能来自标准恒星坍缩以外的通道。然而,不同波形模型产生显著不同的参数估计,可能由于模型中缺失的物理因素。在本工作中,我们使用物理完备的模型重新分析GW231123,考虑自转进动和偏心率。我们的分析显示,该事件无显著偏心率证据,排除偏心率对推断影响小。此外,对于GW231123类系统,即使在10Hz处存在高达0.15的偏心率,也未测得显著非零偏心率。通过零噪声注入恢复研究,我们显示参数估计差异可由波形模型在强自转进动处的分歧解释,零噪声运行中的参数偏差程度与真实信号观测到的相当。我们还显示,使用具有偏心、对齐自转的波形模型进行推断可获得显著非零偏心率测量,由于偏心率与自转进动之间的退化。然而,贝叶斯模型选择却支持偏心、自转进动的解释,即零偏心率——我们通过额外的零噪声注入恢复测试确认了这一结论。

英文摘要:

The gravitational-wave event GW231123_135430 is the heaviest binary black hole system observed by the LIGO--Virgo--KAGRA Collaboration to date, with the initial analysis indicating the individual black hole masses lie within or above the theorized pair-instability mass gap of roughly $60$--$130\,M_\odot$. The inference further suggests that both black holes possess high spins, measured to be $0.90^{+0.10}_{-0.19}$ and $0.80^{+0.20}_{-0.51}$. Therefore, the observation of this event suggests the formation of black holes from channels beyond the standard stellar collapse. However, different waveform models yield significantly different parameter estimates, possibly due to missing physics in the models used in inference. In this work, we carry out a reanalysis of GW231123 using a physically complete model, accounting for both spin precession and eccentricity. Our analysis shows that this event does not exhibit strong evidence for eccentricity and the exclusion of eccentricity has minimal impact on inference. Furthermore, for GW231123-like systems, even eccentricities as large as $0.15$ at $10$ Hz do not yield a confident nonzero eccentricity measurement. Through a zero-noise injection recovery study, we show that the observed discrepancies in the parameter estimates can be explained by disagreement in the waveform models at strong spin precession, with the degree of parameter bias in the zero-noise runs being comparable to that observed for the real signal. We also show that inference performed with an eccentric, aligned-spin waveform model can yield a confident nonzero eccentricity measurement due to the degeneracy between eccentricity and spin precession. Bayesian model selection, however, rules out this interpretation in favor of the eccentric, spin precessing hypothesis, which supports zero eccentricity -- a conclusion we confirm with additional zero-noise injection-recovery tests.

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。

↑