论文标题
检测高红移CMB镜头图中高斯的偏差
Detecting deviations from Gaussianity in high-redshift CMB lensing maps
论文作者
论文摘要
尽管宇宙微波背景（CMB）收敛场的概率密度函数（PDF）大约遵循高斯分布，原始非高斯式，而低红移的结构的较小贡献使整体分布略有非高斯分布。可以使用星系的分布来对某些晚期组件进行建模，并从原始的CMB镜头图中减去，以在高红移处产生物质分布的地图。使用此高红移质量图，我们能够直接研究结构形成的早期阶段。在这项工作中，我们预测由于非线性结构形成$ z> 1.2 $，非高斯签名的可检测性。假设没有系统学的最佳情况，我们发现在当前的调查中检测此类签名是一项挑战，但是未来的实验（例如CMB-S4的深领域）将能够检测到$ \sim7σ$。
While the probability density function (PDF) of the cosmic microwave background (CMB) convergence field approximately follows a Gaussian distribution, primordial non-Gaussianities and small contributions from structures at low redshifts make the overall distribution slightly non-Gaussian. Some of the late-time component can be modelled using the distribution of galaxies and subtracted off from the original CMB lensing map to produce a map of matter distribution at high redshifts. Using this high-redshift mass map, we are able to directly study the early phases of structure formation. In this work, we forecast the detectability of signatures of non-Gaussianity due to nonlinear structure formation at $z>1.2$. Assuming the optimal case of no systematics, we find that it is challenging to detect such signatures in current surveys, but future experiments such as the deep field of CMB-S4 will be able to make detections of $\sim7σ$.
