论文标题
在普朗克镜头地图中搜索极端斑点
Searching for Extremal Spots in Planck Lensing Maps
论文作者
论文摘要
宇宙微波背景（CMB）温度的地图中所谓的冷点已经引起了很大的关注。我们提出了类似的分析，从Planck 2018数据发布中搜索CMB透镜收敛和镜头潜在图的极端斑点。我们使用墨西哥帽小波家族的前三名成员进行多尺度和多滤波器分析，以搜索不同形状和尺寸的极端特征。尽管初步分析似乎表明在低于5度的尺度上存在一些极端斑点，但在所有尺度和过滤器上边缘化后，我们得出结论，在镜头图中未检测到显着特征。我们得出结论，就各种大小的最大值和最小值而言，镜头数据具有与高斯模拟相似的统计属性。
A great deal of attention has been given to the so-called Cold Spot in maps of the cosmic microwave background (CMB) temperature. We present a similar analysis, searching for extremal spots in the CMB lensing convergence and lensing potential maps from the Planck 2018 data release. We perform a multi-scale and multi-filter analysis using the first three members of the Mexican-hat wavelet family to search for extremal features of different shapes and sizes. Although an initial analysis appears to show the existence of some extremal spots at scales below about 5 degree, we conclude, after marginalising over all scales and filters, that no significant features are detected in the lensing maps. We conclude that in terms of maxima and minima of various sizes, the lensing data have similar statistical properties to Gaussian simulations.
