大尺度结构的统计：来自拉格朗日轨迹转移概率
Statistics of large-scale structure from the transition probability of Lagrangian trajectories
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中文总结 AI 辅助
本文提出一种基于拉格朗日轨迹转移概率的概率方法，用于计算引力聚类的两点相关函数，并解释红外重求和效应。
中文摘要 AI 辅助
我们描述了一种引力聚类的概率方法。纯粹在构型空间中工作，我们证明两点相关函数可以用转移概率来表述，该转移概率描述了给定粒子初始位置后其可能的最终位置。转移概率最初是尖锐的峰值，然后随时间以类似扩散的方式展宽。对于相隔较远的粒子（例如在重子声学振荡尺度上），这种效应更为明显，导致两点相关函数在通常被称为红外重求和的过程中受到有效抑制。
英文摘要
We describe a probabilistic approach to gravitational clustering. Working purely in configuration space, we show that the two-point function can be formulated in terms of a transition probability describing the likely final position of a particle given its initial position. The transition probability is initially sharply peaked and then over time broadens out in a diffusion-like manner. The effect is more pronounced for widely-separated particles (e.g.\ at the baryon acoustic scale), leading to an effective suppression of the two-point function in what is normally referred to as infrared resummation.
发表机构
- University of Geneva（日内瓦大学）
机构由 AI 辅助整理，请以论文原文为准。
