论文标题

CMB电子模式信号的统计各向同性

Statistical Isotropy of the CMB E-mode signal

论文作者

Kochappan, Joby P., Sen, Aparajita, Ghosh, Tuhin, Chingangbam, Pravabati, Basak, Soumen

论文摘要

我们使用两种统计量(即,Contour Minkowski Tensor(CMT)和定向统计量($ \ \ \ \ \ rathcal {D} $ statistical),我们测试了宇宙微波背景(CMB)辐射的$ e $ mmode偏振的统计各向同性(SI)。从CMT获得的参数$α$提供了结构对齐的信息,可用于推断统计属性,例如随机场的高斯和SI。 $ \ MATHCAL {D} $统计量基于该字段定义的向量显示的首选方向性。这两个测试在不同角度尺度的灵敏度方面相互互补。 CMT对CMB地图中存在的小规模信息敏感,而$ \ Mathcal {d} $统计量在大尺度上更敏感。我们计算$α$和$ \ MATHCAL {D} $统计量的CMB极化的$ e $ mode,重点关注SMICA地图,并与使用包含CMB和噪声的FFP10 SMICA模拟计算的值进行比较。我们发现观察到的数据和仿真之间有很好的一致性。此外,为了专门分析数据中的CMB信号,我们比较了从观察到的Planck数据获得的两个统计数据的值与从具有相同功率谱的各向同性模拟获得的值,以及从SMICA噪声模拟中获得的值。我们发现使用$α$参数与SI没有统计学上的显着偏差。从$ \ MATHCAL {D} $统计量中,我们发现数据显示在大角度尺度下与Si的偏差有些偏差。

We test the statistical isotropy (SI) of the $E$-mode polarization of the cosmic microwave background (CMB) radiation observed by the Planck satellite using two statistics, namely, the contour Minkowski Tensor (CMT) and the Directional statistic ($\mathcal{D}$ statistic). The parameter $α$ obtained from the CMT provides information of the alignment of structures and can be used to infer statistical properties such as Gaussianity and SI of random fields. The $\mathcal{D}$ statistic is based on detecting preferred directionality shown by vectors defined by the field. These two tests are complementary to each other in terms of sensitivity at different angular scales. The CMT is sensitive towards small-scale information present in the CMB map while $\mathcal{D}$ statistic is more sensitive at large-scales. We compute $α$ and $\mathcal{D}$ statistic for the observed $E$-mode of CMB polarization, focusing on the SMICA maps, and compare with the values calculated using FFP10 SMICA simulations which contain both CMB and noise. We find good agreement between the observed data and simulations. Further, in order to specifically analyze the CMB signal in the data, we compare the values of the two statistics obtained from the observed Planck data with the values obtained from isotropic simulations having the same power spectrum, and from SMICA noise simulations. We find no statistically significant deviation from SI using the $α$ parameter. From $\mathcal{D}$ statistic we find that the data shows slight deviation from SI at large angular scales.

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