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arXiv 2508.19331gr-qc
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利用现有引力波探测器网络在不使用电磁信息的情况下实现哈勃常数百分之几精度的测量

Towards a few percent measurement of the Hubble constant with the current network of gravitational wave detectors without using electromagnetic information

Université de Toulouse(图卢兹大学);Université PSL(巴黎文理研究大学)

Tom Bertheas, Vasco Gennari, Nicola Tamanini

AI总结:

本研究利用LVK合作组O3数据及含额外质量结构的模型,将哈勃常数测量精度较GWTC-3结果提升30%,并预测O4、O5运行下精度可达20%、2.7%,为解决哈勃张力提供引力波途径。

摘要:

引力波为宇宙学参数测量提供了一种新颖且独立的手段,为结合传统电磁观测解决哈勃张力问题提供了有前景的途径。在缺乏电磁对应体或完整宿主星系星表的情况下,当前测量依赖基于种群的方法,对黑洞并合事件进行统计组合。基于在主黑洞质量分布中引入额外结构的最新模型,我们利用LIGO-Virgo-KAGRA(LVK,激光干涉引力波天文台-室女座干涉仪-神冈引力波探测器)合作组第三次观测运行(O3)的公开数据,测得的哈勃常数精度相较于LVK通过第三份引力波暂现源星表(GWTC-3)公布的结果提升了30%。通过包含完整贝叶斯单事件推断的真实模拟,我们对即将开展的LVK观测运行O4和O5进行了预测。采用三幂律质量模型,我们预计在O4灵敏度下哈勃常数测量精度可达20%,在O5灵敏度下可提升至2.7%。我们的研究结果表明,在未来十年的观测中,引力波有望为解决哈勃张力问题做出重要贡献。

英文摘要:

Gravitational waves provide a novel and independent measurement of cosmological parameters, offering a promising avenue to address the Hubble tension alongside traditional electromagnetic observations. In the absence of electromagnetic counterparts or complete host galaxy catalogs, current measurements rely on population-based methods that statistically combine black hole merger events. Building on recent models that incorporate additional structure in the primary black hole mass distribution, using public data from the LIGO-Virgo-KAGRA (LVK) collaboration third observing run (O3), we obtain a 30% accuracy improvement on the measurement of the Hubble constant with respect to the result reported by LVK with the third GW transient catalog (GWTC-3). Employing a realistic simulation that includes full Bayesian single-event inference, we present forecasts for the upcoming LVK observational runs, O4 and O5. Using a three power-law mass model, we project a measurement of the Hubble constant with 20% accuracy at O4 sensitivity, improving to 2.7% accuracy at O5 sensitivity. Our findings demonstrate the potential for gravitational waves to provide a substantial contribution to solving the Hubble tension within the next decade of observations.

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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