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arXiv 1805.09581astro-ph.CO
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CMB T和SNe $z$关联中的偶然深场偏置

Accidental deep field bias in CMB T and SNe $z$ correlation

Tracey Friday, Roger G. Clowes, Srinivasan Raghunathan, Gerard M. Williger

摘要:

Yershov,Orlov和Raikov提出的证据显然表明,超新星(SNe)位置的WMAP/普朗克宇宙微波背景(CMB)像素温度(T)倾向于随着红移的增加而增加($z$)。他们认为这种相关性可能是由综合萨克斯-沃尔夫效应和/或一些不相关的前景发射造成的。在这里,我们使用Planck 2015 SMICA R2.01数据独立评估这种相关性,并遵循Yershov等人,斯滕伯格天文研究所的2783 SNe样本。我们的分析支持初步存在的相关性,但它归因于一个复合选择偏差(高CMB T $\times$高SNe $z$)所造成的意外对齐的7个深调查领域与CMB热点。这七个油田占SNe样本的9.2%(256个SNe)。Spearman秩序相关系数表明整个样本中存在的相关性($ρ_s = 0.5$,p值$= 6.7 \times 10^{-9}$)对于七个字段的子样本($ρ_s = 0.2$,p值$= 0.2$)不显著,而对于SNe的其余部分($ρ_s = 0.1$,p值$= 0.6$)完全不存在。我们证明了这七个深场的温度和红移偏差,并估计它们偶然落在CMB热点上的可能性至少为$\sim$ 6.8%(约为1/15)。我们发现,7880 SNe从开放超新星目录的样本表现出同样的效果,我们得出的结论是,相关性是一个偶然的,但不是不可能的选择偏差。

英文摘要:

Evidence presented by Yershov, Orlov and Raikov apparently showed that the WMAP/Planck cosmic microwave background (CMB) pixel-temperatures (T) at supernovae (SNe) locations tend to increase with increasing redshift ($z$). They suggest this correlation could be caused by the Integrated Sachs-Wolfe effect and/or by some unrelated foreground emission. Here, we assess this correlation independently using Planck 2015 SMICA R2.01 data and, following Yershov et al., a sample of 2783 SNe from the Sternberg Astronomical Institute. Our analysis supports the prima facie existence of the correlation but attributes it to a composite selection bias (high CMB T $\times$ high SNe $z$) caused by the accidental alignment of seven deep survey fields with CMB hotspots. These seven fields contain 9.2 per cent of the SNe sample (256 SNe). Spearman's rank-order correlation coefficient indicates the correlation present in the whole sample ($ρ_s = 0.5$, p-value $= 6.7 \times 10^{-9}$) is insignificant for a sub-sample of the seven fields together ($ρ_s = 0.2$, p-value $= 0.2$) and entirely absent for the remainder of the SNe ($ρ_s = 0.1$, p-value $= 0.6$). We demonstrate the temperature and redshift biases of these seven deep fields, and estimate the likelihood of their falling on CMB hotspots by chance is at least $\sim$ 6.8 per cent (approximately 1 in 15). We show that a sample of 7880 SNe from the Open Supernova Catalogue exhibits the same effect and we conclude that the correlation is an accidental but not unlikely selection bias.

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