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arXiv 1708.00301astro-ph.COastro-ph.GA
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射电星系动物园:射电源的宇宙学排列

Radio Galaxy Zoo: Cosmological Alignment of Radio Sources

O. Contigiani, F. de Gasperin, G. K. Miley, L. Rudnick, H. Andernach, J. K. Banfield, A. D. Kapińska, S. S. Shabala, O. I. Wong

摘要:

我们研究了两个调查,FIRST和TGSS内的无线电源的相互对齐。这是通过产生两个位置角目录来完成的,这两个位置角目录分别包含分布在大于$7\,000$和$17\,000$平方度上的$30\,059$和$11\,674$扩展源的优先方向。FIRST样本中的源的识别是由Radio Galaxy Zoo项目的志愿者提前进行的,而TGSS样本则是这里介绍的自动化过程的结果。在考虑系统效应后,在第一个样本中发现了小于$2.5°$的尺度上局部对齐的边缘证据。这种偶然发生的概率被发现是小于$2$百分之。进一步的研究表明,在规模高达$1.5°$的对齐是最大的。对于三分之一的来源,无线电银河动物园的志愿者确定了一个光学对应物。假设一个平坦的$Λ$ CDM宇宙学与$Ω_m = 0.31, Ω_Λ= 0.69$,我们转换的最大角度尺度上看到的对齐到一个物理尺度范围内的$[19, 38]$ Mpc $h_{70}^{-1}$。这一结果支持了泰勒和贾根纳森最近报告的证据,即巨型米波射电望远镜观测到的$1.4$ deg $^2$ ELAIS N1场的射电喷流排列。TGSS样本被发现是太稀疏的人口表现出类似的信号。

英文摘要:

We study the mutual alignment of radio sources within two surveys, FIRST and TGSS. This is done by producing two position angle catalogues containing the preferential directions of respectively $30\,059$ and $11\,674$ extended sources distributed over more than $7\,000$ and $17\,000$ square degrees. The identification of the sources in the FIRST sample was performed in advance by volunteers of the Radio Galaxy Zoo project, while for the TGSS sample it is the result of an automated process presented here. After taking into account systematic effects, marginal evidence of a local alignment on scales smaller than $2.5°$ is found in the FIRST sample. The probability of this happening by chance is found to be less than $2$ per cent. Further study suggests that on scales up to $1.5°$ the alignment is maximal. For one third of the sources, the Radio Galaxy Zoo volunteers identified an optical counterpart. Assuming a flat $Λ$CDM cosmology with $Ω_m = 0.31, Ω_Λ= 0.69$, we convert the maximum angular scale on which alignment is seen into a physical scale in the range $[19, 38]$ Mpc $h_{70}^{-1}$. This result supports recent evidence reported by Taylor and Jagannathan of radio jet alignment in the $1.4$ deg$^2$ ELAIS N1 field observed with the Giant Metrewave Radio Telescope. The TGSS sample is found to be too sparsely populated to manifest a similar signal.

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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