增长率对环境的依赖性建模
Modelling the environmental dependence of the growth rate
摘要：
宇宙结构增长率是提取引力相互作用和暗能量信息的强有力的宇宙学探针。在晚时间宇宙中，增长率变得非线性，通常通过测量红移空间中星系团的两点统计来探测，直到有限的尺度，保留对线性增长率f的约束。在这封信中，我们提出了另一种方法来分析的增长结构的局部密度，即f（德尔塔）。使用N体模拟，我们测量f（Delta）的函数，并表明结构在高密度区域生长得更快，在低密度区域生长得更慢。我们证明，f（德尔塔）可以使用对数正态蒙特卡罗随机游走方法，它提供了一种方法来提取宇宙学信息的f（德尔塔）建模。我们讨论了应用这种方法的星系调查的前景。
英文摘要：
The growth rate of cosmic structure is a powerful cosmological probe for extracting information on the gravitational interactions and dark energy. In the late time Universe, the growth rate becomes non-linear and is usually probed by measuring the two point statistics of galaxy clustering in redshift space up to a limited scale, retaining the constraint on the linear growth rate f. In this letter, we present an alternative method to analyse the growth of structure in terms of local densities, i.e. f(Delta). Using N-body simulations, we measure the function of f(Delta) and show that structure grows faster in high density regions and slower in low density regions. We demonstrate that f(Delta) can be modelled using a log-normal Monte Carlo Random Walk approach, which provides a means to extract cosmological information from f(Delta). We discuss prospects for applying this approach to galaxy surveys.
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