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arXiv 2306.00829astro-ph.COastro-ph.IM
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弥漫源、聚类与射电同步辐射背景的超额各向异性

Diffuse Sources, Clustering and the Excess Anisotropy of the Radio Synchrotron Background

F. J. Cowie, A. R. Offringa, B. K. Gehlot, J. Singal, S. Heston, S. Horiuchi, D. M. Lucero

AI总结:

本文发布了迄今最大低频射电同步辐射背景(RSB)图像及其各向异性角功率谱,发现其存在显著超额各向异性,并通过建模指出这可能源于极端聚类的小尺度微弱点源或微弱弥漫源。

摘要:

我们展示了迄今为止最大低频(120 MHz)角分辨率图像,即射电同步辐射背景(RSB)图像,以及其对应的各向异性角功率谱(APS),角尺度范围从$3^\circ$到$0.3^\prime$。我们表明,基于已知源类别的源计数,天北极周围的RSB在所有尺度上,相对于未聚类点源模型,均具有显著的超额各向异性功率。这种各向异性超额似乎无法归因于银河系弥漫发射,可能与RSB的面亮度超额有关。为更好理解测量APS中包含的信息,我们通过改变潜在源的亮度分布、大小和角聚类对RSB进行建模。我们表明,只有当聚类极端且高斯聚类大小$\lesssim 1'$时,观测到的APS才可能由微弱聚类点源群产生。我们还表明,观测到的APS可能由大小$\lesssim 1'$的微弱弥漫源群产生,且我们图像中的特征支持了这一点。这两种情况都会导致相关的面亮度超额。即使是迄今最深的射电巡天也未能充分探测这些源类别所处的参数空间。

英文摘要:

We present the largest low frequency (120~MHz) arcminute resolution image of the radio synchrotron background (RSB) to date, and its corresponding angular power spectrum of anisotropies (APS) with angular scales ranging from $3^\circ$ to $0.3^\prime$. We show that the RSB around the North Celestial Pole has a significant excess anisotropy power at all scales over a model of unclustered point sources based on source counts of known source classes. This anisotropy excess, which does not seem attributable to the diffuse Galactic emission, could be linked to the surface brightness excess of the RSB. To better understand the information contained within the measured APS, we model the RSB varying the brightness distribution, size, and angular clustering of potential sources. We show that the observed APS could be produced by a population of faint clustered point sources only if the clustering is extreme and the size of the Gaussian clusters is $\lesssim 1'$. We also show that the observed APS could be produced by a population of faint diffuse sources with sizes $\lesssim 1'$, and this is supported by features present in our image. Both of these cases would also cause an associated surface brightness excess. These classes of sources are in a parameter space not well probed by even the deepest radio surveys to date.

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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