Starlet higher order statistics for galaxy clustering and weak lensing
Starlet higher order statistics for galaxy clustering and weak lensing
复制标题
星系团聚和弱透镜效应的小星高阶统计
DOI：
10.1051/0004-6361/202245510
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发表时间：
2023
影响因子：
6.5
通讯作者：
Ajani V
中科院分区：
文献类型：
--
作者：
Ajani V
我们提出了第一个应用光度星系聚类和弱透镜基于小波的多尺度（超过两个点）的汇总统计：小星星峰值计数和小星星number 1-范数。峰值计数是地图中的局部最大值，并且通过地图的小星星（小波）分解系数的绝对值之和来计算1-范数，提供像素分布的快速多尺度计算，对地图中所有像素的信息进行编码。我们采用的cosmo-SLICS模拟源和透镜目录，我们计算基于小波的非高斯统计的背景下，结合探针和他们的潜力时，适用于弱透镜收敛地图和星系地图。得到了物质密度参数Ωm、约化哈勃常数、物质涨落幅度σ8和暗能量状态方程参数w 0的预报。在我们的第一个应用程序的设置中，我们认为这两个探头是独立的。我们发现，小星星的峰值和number 1-范数表示有趣的汇总统计，可以提高功率谱的约束，即使在光度星系聚类的情况下，当两个探头相结合。
We present a first application to photometric galaxy clustering and weak lensing of wavelet-based multi-scale (beyond two points) summary statistics: starlet peak counts and starletℓ1-norm. Peak counts are the local maxima in the map, andℓ1-norm is computed via the sum of the absolute values of the starlet (wavelet) decomposition coefficients of a map, providing a fast multi-scale calculation of the pixel distribution, encoding the information of all pixels in the map. We employ the cosmo-SLICS simulations sources and lens catalogues, and we compute wavelet-based non-Gaussian statistics in the context of combined probes and their potential when applied to the weak-lensing convergence maps and galaxy maps. We obtain forecasts on the matter density parameter Ωm, the reduced Hubble constanth, the matter fluctuation amplitudeσ8, and the dark energy equation of state parameterw0. In our setting for this first application, we consider the two probes to be independent. We find that the starlet peaks and theℓ1-norm represent interesting summary statistics that can improve the constraints with respect to the power spectrum, even in the case of photometric galaxy clustering and when the two probes are combined.
通用滤波器修正的密度分裂统计模型
影响因子：
6.5
作者：
Burger P
通讯作者：
Burger P