论文标题
Kids-1000宇宙学:密度分裂统计的约束
KiDS-1000 Cosmology: Constraints from density split statistics
论文作者
论文摘要
语境。超出两点函数的弱透镜和聚类统计量可以捕获有关物质密度场的非高斯信息,从而根据基于相关函数和功率谱的主流方法改善了宇宙学参数的约束。目标。本文基于密度分配统计数据对KILO学位调查的第四个数据释放进行了宇宙学分析,该数据衡量了根据前景密度分类的区域周围的平均剪切曲线。后者是由明亮的星系样品构造的,我们将其进一步分为红色和蓝色样品,使我们能够探测它们与潜在的暗物质密度的相关连接。方法。我们使用密度分裂统计数据的最新模型,并验证其稳健性,以侵入已知系统效应的模拟数据,例如固有的星系比对和Baryonic反馈。结果。在对光度红移不确定性和残留剪切校准偏置的边缘化之后,我们测量了整个儿童范围样本的结构增长参数为$ s_8 =σ_8\ sqrt {ω__\ mathrm {mathrm {m} /0.3}宇宙剪切结果,物质密度为$ω__\ mathrm {m} = 0.28 \ pm 0.02 $,以及$ b = 1.32^{+0.12} _ { - 0.10} $的常数星系偏置。
Context. Weak lensing and clustering statistics beyond two-point functions can capture non-Gaussian information about the matter density field, thereby improving the constraints on cosmological parameters relative to the mainstream methods based on correlation functions and power spectra. Aims. This paper presents a cosmological analysis of the fourth data release of the Kilo Degree Survey based on the density split statistics, which measures the mean shear profiles around regions classified according to foreground densities. The latter is constructed from a bright galaxy sample, which we further split into red and blue samples, allowing us to probe their respective connection to the underlying dark matter density. Methods. We use the state-of-the-art model of the density splitting statistics and validate its robustness against mock data infused with known systematic effects such as intrinsic galaxy alignment and baryonic feedback. Results. After marginalising over the photometric redshift uncertainty and the residual shear calibration bias, we measure for the full KiDS-bright sample a structure growth parameter of $S_8 = σ_8 \sqrt{Ω_\mathrm{m}/0.3} = 0.74^{+0.03}_{-0.02}$ that is competitive to and consistent with two-point cosmic shear results, a matter density of $Ω_\mathrm{m} = 0.28 \pm 0.02$, and a constant galaxy bias of $b = 1.32^{+0.12}_{-0.10}$.