Haloes gone MAD: The Halo-Finder Comparison Project
Alexander Knebe, Steffen R. Knollmann, Stuart I. Muldrew, Frazer R., Pearce, Miguel Angel Aragon-Calvo, Yago Ascasibar, Peter S. Behroozi, Daniel, Ceverino, Stephane Colombi, Juerg Diemand, Klaus Dolag, Bridget L. Falck,, Patricia Fasel, Jeff Gardner, Stefan Gottloeber

TL;DR
This paper compares various dark matter halo finders, evaluating their performance on mock and cosmological data, highlighting differences in substructure detection and the strengths of phase-space based algorithms.
Contribution
It provides a comprehensive comparison of halo finders using a new suite of test scenarios, including phase-space methods, and assesses their accuracy in different contexts.
Findings
All finders accurately locate mock haloes.
Configuration space finders struggle with central substructure.
Phase-space finders resolve smaller substructures down to 10-20 particles.
Abstract
[abridged] We present a detailed comparison of fundamental dark matter halo properties retrieved by a substantial number of different halo finders. These codes span a wide range of techniques including friends-of-friends (FOF), spherical-overdensity (SO) and phase-space based algorithms. We further introduce a robust (and publicly available) suite of test scenarios that allows halo finder developers to compare the performance of their codes against those presented here. This set includes mock haloes containing various levels and distributions of substructure at a range of resolutions as well as a cosmological simulation of the large-scale structure of the universe. All the halo finding codes tested could successfully recover the spatial location of our mock haloes. They further returned lists of particles (potentially) belonging to the object that led to coinciding values for the…
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