论文标题

CMB镜头和射电星系图的互相关分析

A cross-correlation analysis of CMB lensing and radio galaxy maps

论文作者

Piccirilli, Giulia, Migliaccio, Marina, Branchini, Enzo, Dolfi, Arianna

论文摘要

我们研究了在TGSS目录中无线电源的角度分布中检测到的大聚类信号的起源。为此,我们将无线电源的角位置与来自普朗克卫星的宇宙微波背景(CMB)镜头图交叉,因为预计互相关对可能会产生一个偏弱的聚类信号的可能系统错误的源头不知所措。 TGSS-CMB镜头的角互相关光谱的幅度比TGSS自动光谱的幅度要小得多,并且与NVSS-CMB镜头横向频谱的幅度相一致。确认TGSS大规模聚类信号的虚假起源的结果。我们进一步将两个跨光谱与使用文献中各种处方的理论预测进行了比较,用于无线电来源的红移计数,$ n(z)$及其偏见$ b(z)$。这些模型假定$λ$ CDM宇宙学,并提议适合NVSS自动光谱,但没有大规模匹配跨光线,尽管远不远。当偏差关系被自由变化时(模型预测对N(Z)的选择不敏感)拟合的质量会提高,但是需要很大的偏见($ b_g = 2.53 \ pm 0.11 $),这似乎与当地世界中无线电源的观察到的集群幅度不一致。这个大型互相关幅度是无线电源模型的问题,还是$λ$ CDM框架本身的问题,只能使用具有大量对象的下一代数据集来阐明。我们的分析确实表明,可以通过结合角和互相关分析来删除$ n(z)$和$ b(z)$变性。

We investigate the origin of the large clustering signal detected in the angular distribution of the radio sources in the TGSS catalog. To do so, we cross-correlate the angular position of the radio sources with the Cosmic Microwave Background (CMB) lensing maps from the Planck satellite, since cross-correlation is expected to be insensitive to source of possible systematic errors that may generate a spurious clustering signal. The amplitude of the angular cross-correlation spectrum of TGSS-CMB lensing turns out to be much smaller than that of the TGSS auto-spectrum and consistent with that of the NVSS-CMB lensing cross spectrum. A result that confirms the spurious origin of the TGSS large scale clustering signal. We further compare the two cross-spectra with theoretical predictions that use various prescriptions from the literature, for the redshift counts of the radio sources, $N(z)$, and their bias $b(z)$. These models, that assume a $Λ$CDM cosmology and that were proposed to fit the NVSS auto-spectrum, fail to match the cross-spectra on large scale, though not by far. When the bias relation is let free to vary (model predictions are rather insensitive to the choice of the N(z)) the quality of the fit improves but a large bias ($ b_g = 2.53 \pm 0.11$) is required, which does not seem to be consistent with the observed clustering amplitude of the radio sources in the local universe. Whether this large cross-correlation amplitude represents a problem for the radio sources models, or for the $Λ$CDM framework itself, can only be clarified using next generation datasets featuring large number of objects. What our analysis does show is the possibility to remove the $N(z)$ and $b(z)$ degeneracy by combining angular and cross-correlation analyses.

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