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A New Model to Predict Weak Lensing Peak Counts

机译:一种预测弱镜头峰值计数的新模型

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Peak statistics from weak gravitational lensing have been shown to be a promising tool for cosmology. Here we propose a new approach to predict weak lensing peak counts. For an arbitrary cosmology, we draw dark matter halos from the halo mass function, and calculate the number of peaks from the projected halo mass distribution. This procedure is much faster than time-consuming N-body simulations. By comparing these "fast simulations" to N-body runs, we find that the peak abundance is in very good agreement. Furthermore, our model is able to discriminate cosmologies with different sets of parameters, using high signal-to-noise peaks (? 4). This encourages us to examine the optimal combinations of parameters to this approach in the future.
机译:弱引力透镜的峰值统计已被证明是宇宙学的有希望的工具。在这里,我们提出了一种预测弱镜头峰值计数的新方法。对于任意宇宙学,我们从光环质量功能绘制暗物质晕,并计算投影光环质量分布的峰值。此程序比耗时的N-body模拟更快。通过将这些“快速模拟”与N-Body进行比较,我们发现峰值丰度非常良好。此外,我们的模型能够使用高信号 - 噪声峰(Δ4)以不同的参数集区分宇宙学。这鼓励我们在未来检查参数的最佳参数组合。

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