论文标题
宇宙剪切中的持续同源性II：DES-Y1的层析成像分析
Persistent homology in cosmic shear II: A tomographic analysis of DES-Y1
论文作者
论文摘要
我们演示了如何在层析成像宇宙剪切调查中使用持续的同源性进行宇宙学参数推断。我们通过将我们的方法应用于暗能量调查的第一年数据，从持久的同源性获得了第一个宇宙参数约束。 为了获得这些约束，我们通过从光圈质量的信号到噪声图中提取持久图来分析物质分布的拓扑结构。这是对广泛使用的峰值统计数据的自然扩展。从Cosmo-Slics（具有可变宇宙学参数的$ n $ simulations的套件）中提取持久图，我们使用高斯工艺插入信号，并在最相关的系统效应上进行边缘化，包括内在的对齐和最相关的效应。 我们找到了结构增长参数$ s_8 = 0.747^{+0.025} _ { - 0.031} $，它与其他延迟探针完全一致。我们还将固有的对齐参数限制为$ a = 1.54 \ pm 0.52 $，排除了以$3σ$ level的固有对齐方式的情况。
We demonstrate how to use persistent homology for cosmological parameter inference in a tomographic cosmic shear survey. We obtain the first cosmological parameter constraints from persistent homology by applying our method to the first-year data of the Dark Energy Survey. To obtain these constraints, we analyse the topological structure of the matter distribution by extracting persistence diagrams from signal-to-noise maps of aperture masses. This presents a natural extension to the widely used peak count statistics. Extracting the persistence diagrams from the cosmo-SLICS, a suite of $N$-body simulations with variable cosmological parameters, we interpolate the signal using Gaussian Processes and marginalise over the most relevant systematic effects, including intrinsic alignments and baryonic effects. We find for the structure growth parameter $S_8=0.747^{+0.025}_{-0.031}$, which is in full agreement with other late-time probes. We also constrain the intrinsic alignment parameter to $A=1.54\pm 0.52$, ruling out the case of no intrinsic alignments at a $3σ$-level.
