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arXiv 2202.07536astro-ph.GAastro-ph.CO
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宇宙学原理的检验:不同宇宙学时期类星体系统运动的天体测量极限

Testing the Cosmological Principle: Astrometric Limits on Systemic Motion of Quasars at Different Cosmological Epochs

Valeri V. Makarov, Nathan J. Secrest

摘要:

构造了一个在8400平方度的椭圆天空区域内具有天体自行和光谱红移大于0.5的光学类星体的$60,410$样品。使用正交Zernike函数的极坐标,自行领域的加权最小二乘调整的整个样本和六个相等的仓排序红移。与37个Zernike函数的整体拟合揭示了一个统计学上显著的模式,这可能是工具的起源。这种模式的主要特征是一系列的高峰和低谷,主要在R. A。振幅为25~ $μ$的分量作为年$^{-1}$。这个场是从六个类星体的类似拟合中减去的,这些类星体按红移范围从0.5到7.03进行分组,中值为0.72,1.00,1.25,1.52,1.83,2.34。由此产生的残差模式是嘈杂的,与正式的不确定性高达8~ $μ$作为年$^{-1}$在该地区的中部。我们检测到一个单一的高置信Zernike项的RA。红移约为1.52的类星体的自行分量,代表天空上的总梯度为30 $μ$ as yr $^{-1}$ over $150\degr$。我们没有发现任何小规模或中等规模的系统变化的剩余自行场的红移以上的$2.5\,σ$的显着性水平的功能。

英文摘要:

A sample of $60,410$ bona fide optical quasars with astrometric proper motions in Gaia EDR3 and spectroscopic redshifts above 0.5 in an oval 8400 square degree area of the sky is constructed. Using orthogonal Zernike functions of polar coordinates, the proper motion fields are fitted in a weighted least-squares adjustment of the entire sample and of six equal bins of sorted redshifts. The overall fit with 37 Zernike functions reveals a statistically significant pattern, which is likely to be of instrumental origin. The main feature of this pattern is a chain of peaks and dips mostly in the R.A. component with an amplitude of 25~$μ$as yr$^{-1}$. This field is subtracted from each of the six analogous fits for quasars grouped by redshifts covering the range 0.5 through 7.03, with median values 0.72, 1.00, 1.25, 1.52, 1.83, 2.34. The resulting residual patterns are noisier, with formal uncertainties up to 8~$μ$as yr$^{-1}$ in the central part of the area. We detect a single high-confidence Zernike term for R.A. proper motion components of quasars with redshifts around 1.52 representing a general gradient of 30 $μ$as yr$^{-1}$ over $150\degr$ on the sky. We do not find any small- or medium-scale systemic variations of the residual proper motion field as functions of redshift above the $2.5\,σ$ significance level.

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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