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arXiv 2602.06007astro-ph.COastro-ph.GA
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利用团簇缩放关系检验宇宙各向异性

Testing cosmic anisotropy with cluster scaling relations

University of Oxford(牛津大学);University of Portsmouth(朴茨茅斯大学)

Tariq Yasin, Richard Stiskalek, Harry Desmond, Sebastian von Hausegger, Pedro G. Ferreira

AI总结:

通过团簇缩放关系检验宇宙各向异性,发现各向异性证据较弱,强调准确建模peculiar velocities的重要性。

摘要:

我们利用团簇缩放关系作为距离指示器,检验利用局部膨胀速率的大型尺度各向异性主张。使用贝叶斯正向模型,我们联合拟合X射线亮度-温度(LT)和热Sunyaev-Zel'dovich-温度(YT)关系,对潜在的团簇距离进行边缘化处理,并建模选择效应以及peculiar velocities。后者通过局部peculiar velocity场的重建进行建模,其中我们通过近似方案自洽地考虑可能的各向异性红移-距离关系。这种处理对推断的各向异性至关重要,并打破了缩放关系归一化中的各向异性与底层宇宙各向异性之间的退化。我们将方法应用于312个红移z<0.2的团簇,测试偶极、四极和一般(像素化)各向异性模型。贝叶斯模型选择发现任何各向异性模型的证据都不超过弱证据。对于偶极模型,我们得到δH_0 / H_0 < 3.2%和bulk flow幅度<1300 km/s的上限。我们的结果与之前从相同数据中得出的统计显著各向异性主张相矛盾,我们将此归因于我们对红移和缩放关系观测量的正向建模通过潜在距离,以及在建模局部peculiar velocity场时对各向异性红移-距离关系影响的处理。我们的工作强调了在使用距离指示器检验各向异性时准确建模peculiar velocities的重要性,并推动了进一步发展能够自洽处理大尺度偏离Hubble流的重建。

英文摘要:

We test claims of large-scale anisotropy in the local expansion rate using cluster scaling relations as distance indicators. Using a Bayesian forward model, we jointly fit the X-ray luminosity--temperature (LT) and thermal Sunyaev-Zel'dovich--temperature (YT) relations, marginalising over the latent cluster distances and modelling selection effects as well as peculiar velocities. The latter are modelled using reconstructions of the local peculiar velocity field where we self-consistently account for possible anisotropic redshift--distance relations via an approximate scheme. This treatment proves crucial to the inferred anisotropy and breaks the degeneracy between anisotropy in scaling relation normalisations and underlying cosmological anisotropy. We apply our method to 312 clusters at $z \lesssim 0.2$, testing dipolar, quadrupolar and general (pixelised) anisotropy models. Bayesian model selection finds no more than weak evidence for any anisotropic model. For dipole models, we obtain upper limits of $δH_0 / H_0 < 3.2\%$ and bulk flow magnitude $< 1300\,\mathrm{km\,s^{-1}}$. Our results contrast with previous claims of statistically significant anisotropy from the same data, which we attribute to our principled forward modelling of both redshifts and scaling relation observables through latent distances and our treatment of the impact of anisotropic redshift--distance relations when modelling the local peculiar velocity field. Our work highlights the importance of accurately modelling peculiar velocities when testing isotropy with distance indicators, and motivates the further development of reconstructions that self-consistently treat large-scale deviations from the Hubble flow.

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