The Cosmic Web, Multi-Stream Flows, and Tessellations

TL;DR

This paper introduces a novel tessellation method for analyzing the cosmic web in cosmological simulations, leveraging phase space information to identify structures and study matter distribution with no free parameters.

Contribution

The paper presents a new parameter-free tessellation technique that uses full phase space data to analyze the nonlinear matter distribution in cosmological simulations.

Findings

Identified correlation between multi-streaming and density.

Detected structures like Zel'dovich pancakes and voids.

Discovered a scaling relation in volume fraction versus streams.

Abstract

Understanding the structure of the matter distribution in the Universe due to the action of the gravitational instability -- the cosmic web -- is complicated by lack of direct analytic access to the nonlinear domain of structure formation. Here, we suggest and apply a novel tessellation method designed for cold dark matter (CDM) N-body cosmological simulations. The method is based on the fact that the initial CDM state can be described by a 3-D manifold (in a 6-D phase space) that remains continuous under evolution. Our technique uses the full phase space information and has no free parameters; it can be used to compute multi-stream and density fields, the main focus of this paper. Using a large-box LCDM simulation we carry out a variety of initial analyses with the technique. These include studying the correlation between multi-streaming and density, the identification of structures such as Zel'dovich pancakes and voids, and statistical measurements of quantities such as the volume fraction as a function of the number of streams -- where we find a remarkable scaling relation. Cosmological implications are briefly discussed.