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Cosmic shear covariance matrix in wCDM: Cosmology matters

机译: w CDM中的宇宙剪切协方差矩阵:宇宙学很重要

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We present here the cosmo-SLICS, a new suite of simulations specially designed for the analysis of current and upcoming weak lensing data beyond the standard two-point cosmic shear. We sampled the [Ω_(m),? σ _(8),? h ,? w _(0)] parameter space at 25 points organised in a Latin hyper-cube, spanning a range that contains most of the 2 σ posterior distribution from ongoing lensing surveys. At each of these nodes we evolved a pair of N -body simulations in which the sampling variance is highly suppressed, and ray-traced the volumes 800 times to further increase the effective sky coverage. We extracted a lensing covariance matrix from these pseudo-independent light-cones and show that it closely matches a brute-force construction based on an ensemble of 800 truly independent N -body runs. More precisely, a Fisher analysis reveals that both methods yield marginalized two-dimensional constraints that vary by less than 6% in area, a result that holds under different survey specifications and that matches to within 15% the area obtained from an analytical covariance calculation. Extending this comparison with our 25 w CDM models, we probed the cosmology dependence of the lensing covariance directly from numerical simulations, reproducing remarkably well the Fisher results from the analytical models at most cosmologies. We demonstrate that varying the cosmology at which the covariance matrix is evaluated in the first place might have an order of magnitude greater impact on the parameter constraints than varying the choice of covariance estimation technique. We present a test case in which we generate fast predictions for both the lensing signal and its associated variance with a flexible Gaussian process regression emulator, achieving an accuracy of a few percent on the former and 10% on the latter.
机译:我们在这里展示cosmo-SLICS,这是一套新的仿真套件,专门设计用于分析当前和即将出现的弱于标准两点宇宙剪切的弱透镜数据。我们采样了[Ω_(m),? σ_(8),? H ,? w _(0)]在拉丁超立方体中组织的25个点处的参数空间,其范围包含了正在进行的透镜测量的大部分2σ后验分布。在这些节点的每一个处,我们开发了一对N体模拟,其中高度抑制了采样方差,并对光线进行了800次射线追踪,以进一步增加有效的天空覆盖范围。我们从这些伪独立的视锥中提取了透镜协方差矩阵,并表明它与基于800个真正独立的N体运行集合的蛮力构造紧密匹配。更精确地,Fisher分析显示,这两种方法都产生了边缘化的二维约束,这些约束的面积变化小于6%,该结果在不同的调查规范下均成立,并且与分析协方差计算所获得的面积相差15%以内。通过与我们的25 w CDM模型进行比较,我们直接从数值模拟中探究了透镜协方差的宇宙学依赖性,从大多数宇宙学的分析模型中可以很好地再现费舍尔的结果。我们证明,改变协方差矩阵首先要在其上进行评估的宇宙学可能比改变协方差估计技术的选择对参数约束的影响大一个数量级。我们提供了一个测试用例,其中我们使用灵活的高斯过程回归仿真器为镜头信号及其相关方差生成快速预测,前者的准确度为百分之几,后者为10%。

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