标题： 宇宙剪切调查的非线性费舍尔信息内容 显示英文标题

标题： The Non-Linear Fisher Information content of cosmic shear surveys

摘要： 我们量化宇宙剪切巡天两点函数的费舍尔信息含量，作为噪声和分辨率的函数。 暗物质的两点信息在跨线性尺度上达到饱和。 我们研究非线性非高斯性对引力透镜信息含量的影响，引力透镜探测相同的暗物质。 为此，我们大量利用N体模拟以准确探测非线性区域。 虽然我们发现即使在完美的巡天中，也没有明显的饱和尺度，但我们观察到由非线性增长引起的非高斯性可能导致常见的暗能量优值减少约4倍。 然而，现实的随机噪声水平会缓解这种影响，并且我们发现对于未来的巡天，这种影响更接近于1.5倍。 为此，我们开发了一种新的方案来计算相关的协方差矩阵。 这使我们能够声明一个无偏估计器，其准确性比之前使用的提高了数量级，只需使用两倍于之前次数的模拟。 最后，我们使用自助法评估误差的误差。 显示英文摘要

摘要： We quantify the Fisher information content of the cosmic shear survey two-point function as a function of noise and resolution. The two point information of dark matter saturates at the trans-linear scale. We investigate the impact of non-linear non-Gaussianity on the information content for lensing, which probes the same dark matter. To do so we heavily utilize N-body simulations in order to probe accurately the non-linear regime. While we find that even in a perfect survey, there is no clear saturation scale, we observe that non-linear growth induced non-Gaussianity could lead to a factor of ~4 reduction for the common Dark Energy figure of merit. This effect is however mitigated by realistic levels of shot noise and we find that for future surveys, the effect is closer to a factor of 1.5. To do so, we develop a new scheme to compute the relevant covariant matrix. It leads us to claim an unbiased estimator with an order of magnitude improvement in accuracy with only twice more simulations than previously used. Finally, we evaluate the error on the errors using bootstrap methods.