The Tessellation-Level-Tree: characterising the nested hierarchy of density peaks and their spatial distribution in cosmological N-body simulations
Philipp Busch, Simon D. M. White

TL;DR
This paper introduces the Tessellation-Level-Tree (TLT), a hierarchical structure that characterizes the nested density peaks and their spatial distribution in cosmological N-body simulations, revealing insights into cosmic web formation.
Contribution
The TLT provides a novel hierarchical framework for analyzing density peaks and their relationships, enhancing understanding of cosmic web structure and halo formation in simulations.
Findings
TLT effectively partitions particles into density peaks and subpeaks.
Percolation threshold at low density captures the cosmic web.
Assembly bias varies with saddle point density, affecting clustering.
Abstract
We use the Millennium and Millennium-II simulations to illustrate the Tessellation-Level-Tree (TLT), a hierarchical tree structure linking density peaks in a field constructed by voronoi tessellation of the particles in a cosmological N-body simulation. The TLT uniquely partitions the simulation particles into disjoint subsets, each associated with a local density peak. Each peak is a subpeak of a unique higher peak. The TLT can be persistence filtered to suppress peaks produced by discreteness noise. Thresholding a peak's particle list at results in a structure similar to a standard friend-of-friends halo and its subhaloes. For thresholds below , the largest structure percolates and is much more massive than other objects. It may be considered as defining the cosmic web. For a threshold of , it contains about half…
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