论文标题
3 \％ - 在广泛的宇宙学和尺度上，对暗物质，光环和亚李的聚类的准确预测
3\%-accurate predictions for the clustering of dark matter, haloes and subhaloes, over a wide range of cosmologies and scales
论文作者
论文摘要
预测对象的空间分布是宇宙学的函数，这是对未来星系调查的开发的重要组成部分。在本文中，我们表明，专门设计的仅重力模拟套件以及宇宙学响应算法可以提供高精度的暗物质，光环和亚琴的聚类。具体而言，只有3 $ n $ body模拟，我们获得了$ z = 0 $和$ z = 1 $的暗物质的功率谱，对于所有当前所有可行的8个宇宙学参数的可行值，包括大量中微子和动态的暗能量，以及在整个尺度范围内，在探索了0.03 <$ k/hh^^-1}的整个范围内。质量选择的光环和根据其峰值最大圆速度选择的亚李。作为这些预测的初始应用，我们成功地限制了$ω_ {\ rm m} $，$σ_8$，以及使用模拟SDSS星系的投影相关功能的Subhalo-Abundance匹配中的散点。
Predicting the spatial distribution of objects as a function of cosmology is an essential ingredient for the exploitation of future galaxy surveys. In this paper we show that a specially-designed suite of gravity-only simulations together with cosmology-rescaling algorithms can provide the clustering of dark matter, haloes, and subhaloes with high precision. Specifically, with only 3 $N$-body simulations we obtain the power spectrum of dark matter at $z=0$ and $z=1$ to better than 3\% precision for essentially all currently viable values of 8 cosmological parameters, including massive neutrinos and dynamical dark energy, and over the whole range of scales explored, 0.03 < $k/h^{-1}Mpc$ < 5. This precision holds at the same level for mass-selected haloes and for subhaloes selected according to their peak maximum circular velocity. As an initial application of these predictions, we successfully constrain $Ω_{\rm m}$, $σ_8$, and the scatter in subhalo-abundance-matching employing the projected correlation function of mock SDSS galaxies.
