论文标题
大规模结构在1D和3D中的功率谱响应:爆发后动态的处方测试
Power spectrum response of large-scale structure in 1D and in 3D: tests of prescriptions for post-collapse dynamics
论文作者
论文摘要
宇宙大规模结构的功率谱响应函数描述了如何通过引力演化的非线性模式耦合对初始功率的微小变化来修改进化的功率谱。先前发现,与基于单流近似值的摄动理论(PT)的预测相比,从小到大尺度的耦合的响应函数被强烈抑制,尤其是在后期。一个明显的解释是,PT无法描述超出壳的动力。我们通过将$ n $体体模拟中的测量值与基于PT的处方进行比较,但具有自适应平滑的增强来测试这个想法,以说明多流式制度中各种大小的非线性结构的形成。我们首先从一维(1D)宇宙学开始,其中Zel'Dovich近似在单流制度中提供了精确的解决方案。与3D情况类似,大规模模式的响应函数在小尺度上表现出很强的振幅抑制作用,仅Zel'Dovich溶液无法解释。但是,通过对初始条件进行自适应平滑,以识别不同大小的光环并在三个流动制度中求解近似后的爆发后动力学,理论和模拟之间的一致性大大改善。我们使用pinocchio算法将分析扩展到3D病例,其中在拉格朗日PT场上实现了类似的自适应平滑,以识别光环,并与球形光环处方相结合,以说明爆发后动力学。同样,在小型和大型模式之间的耦合中发现了抑制,并改善了与模拟的一致性。
The power spectrum response function of the large-scale structure of the Universe describes how the evolved power spectrum is modified by a small change in initial power through non-linear mode coupling of gravitational evolution. It was previously found that the response function for the coupling from small to large scales is strongly suppressed in amplitude, especially at late times, compared to predictions from perturbation theory (PT) based on the single-stream approximation. One obvious explanation for this is that PT fails to describe the dynamics beyond shell-crossing. We test this idea by comparing measurements in $N$-body simulations to prescriptions based on PT but augmented with adaptive smoothing to account for the formation of non-linear structures of various sizes in the multi-stream regime. We first start with one-dimensional (1D) cosmology, where the Zel'dovich approximation provides the exact solution in the single stream regime. Similarly to the 3D case, the response function of the large-scale modes exhibits a strong suppression in amplitude at small scales which cannot be explained by the Zel'dovich solution alone. However, by performing adaptive smoothing of initial conditions to identify haloes of different sizes and solving approximately post-collapse dynamics in the 3-streams regime, agreement between theory and simulations drastically improves. We extend our analyses to the 3D case using PINOCCHIO algorithm, in which similar adaptive smoothing is implemented on the Lagrangian PT fields to identify haloes and is combined with a spherical halo prescription to account for post-collapse dynamics. Again, a suppression is found in the coupling between small- and large-scale modes and the agreement with simulations is improved.