Phase-space structures II: Hierarchical Structure Finder
M. Maciejewski, S. Colombi, V. Springel, C. Alard, F. R. Bouchet

TL;DR
The paper introduces a Hierarchical Structure Finder (HSF) algorithm that detects complex phase-space structures in dark matter simulations, including subhaloes, streams, and caustics, with improved accuracy over traditional methods.
Contribution
It presents a novel 6D phase-space algorithm capable of identifying detailed dark matter structures and their evolution, enhancing analysis of cosmological simulations.
Findings
Detects more substructures than traditional 3D finders.
Identifies tidal tails, streams, and caustics in phase-space.
Recovers 80% of structures from high redshift infall.
Abstract
A new multi-dimensional Hierarchical Structure Finder (HSF) to study the phase-space structure of dark matter in N-body cosmological simulations is presented. The algorithm depends mainly on two parameters, which control the level of connectivity of the detected structures and their significance compared to Poisson noise. By working in 6D phase-space, where contrasts are much more pronounced than in 3D position space, our HSF algorithm is capable of detecting subhaloes including their tidal tails, and can recognise other phase-space structures such as pure streams and candidate caustics. If an additional unbinding criterion is added, the algorithm can be used as a self-consistent halo and subhalo finder. As a test, we apply it to a large halo of the Millennium Simulation, where 19 % of the halo mass are found to belong to bound substructures, which is more than what is detected with…
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