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首页> 外文期刊>International journal of modern physics, D. Gravitation, astrophysics, cosmology >Auto- and cross-correlation of phases of the whole-sky CMB and foreground maps from the 1-year WMAP data
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Auto- and cross-correlation of phases of the whole-sky CMB and foreground maps from the 1-year WMAP data

机译:来自1年WMAP数据的全天CMB和前景图的相位的自相关和互相关

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The issue of non-Gaussianity is not only related to distinguishing the theories of the origin of primordial fluctuations, but also crucial for the determination of cosmological parameters in the framework of inflation paradigm. We present a method for testing non-Gaussianity on the whole-sky cosmic microwave background (CMB) anisotropies. This method is based on the Kuiper's statistic to probe the two-dimensional uniformity on a periodic mapping square associating phases: return mapping of phases of the derived CMB (similar to auto-correlation) and cross-correlations between phases of the derived CMB and foregrounds. Since phases reflect morphology, detection of cross-correlation of phases signifies the contamination of foreground signals in the derived CMB map. The advantage of this method is that one can cross-check the auto- and cross-correlation of phases of the derived maps and foregrounds, and mark off those multipoles in which the non-Gaussianity results from the foreground contaminations. We apply this statistic on the derived signals from the 1-year WMAP data. The auto-correlations of phases from the internal linear combination map show the significance above 95% C.L. against the random phase hypothesis on 17 spherical harmonic multipoles, among which some have pronounced cross-correlations with the foreground maps. We find that most of the non-Gaussianity found in the derived maps are from foreground contaminations. With this method we are better equipped to approach the issue of non-Gaussianity of primordial origin for the upcoming Planck mission.
机译:非高斯性的问题不仅与区分原始波动起因的理论有关,而且对于确定通货膨胀范式框架中的宇宙学参数也至关重要。我们提出了一种在整个天空宇宙微波背景(CMB)各向异性上测试非高斯性的方法。此方法基于柯伊伯统计量,在关联相位的周期性映射正方形上探查二维均匀性:派生CMB的相位的返回映射(类似于自相关)以及派生CMB和前景的相位之间的互相关。由于相位反映了形态,因此检测相位的互相关性意味着在派生的CMB映射中污染了前景信号。这种方法的优点是可以交叉检查派生的地图和前景的相位的自相关和互相关性,并标记出前景污染导致非高斯性的那些多极点。我们将此统计数据应用于从1年WMAP数据得出的信号。内部线性组合图中的相位自相关显示出95%C.L以上的显着性。反对17个球谐多极子上的随机相位假说,其中一些与前景图具有明显的互相关性。我们发现,在导出的地图中发现的大多数非高斯性都来自前景污染。通过这种方法,我们可以更好地应对即将到来的普朗克任务的原始起源的非高斯性问题。

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