Exponents of non-linear clustering in scale-free one dimensional cosmological simulations

TL;DR

This paper uses one-dimensional cosmological simulations to explore how non-linear clustering exponents depend on initial conditions and cosmology, revealing distinct regimes of stable clustering and universality.

Contribution

It introduces a simplified 1D model to analyze the dependence of clustering exponents on initial conditions and cosmological parameters, extending understanding of non-linear clustering behaviors.

Findings

Identification of two regimes: stable clustering and universal behavior.

Dependence of the clustering exponent b3 on initial spectrum and expansion rate.

Comparison with 3D results and implications for universality in clustering.

Abstract

One dimensional versions of cosmological N-body simulations have been shown to share many qualitative behaviours of the three dimensional problem. They can resolve a large range of time and length scales, and admit exact numerical integration. We use such models to study how non-linear clustering depends on initial conditions and cosmology. More specifically, we consider a family of models which, like the 3D EdS model, lead for power-law initial conditions to self-similar clustering characterized in the strongly non-linear regime by power-law behaviour of the two point correlation function. We study how the corresponding exponent \gamma depends on the initial conditions, characterized by the exponent n of the power spectrum of initial fluctuations, and on a single parameter \kappa controlling the rate of expansion. The space of initial conditions/cosmology divides very clearly into two parts: (1) a region in which \gamma depends strongly on both n and \kappa and where it agrees very well with a simple generalisation of the so-called stable clustering hypothesis in three dimensions, and (2) a region in which \gamma is more or less independent of both the spectrum and the expansion of the universe. We explain the observed location of the boundary in (n, \kappa) space dividing the "stable clustering" region from the "universal" region. We compare and contrast our findings to results in three dimensions, and discuss in particular the light they may throw on the question of "universality" of non-linear clustering in this context.