Self-similar decomposition of the hierarchical merger tree of dark matter halos
Wenkang Jiang, Jiaxin Han, Fuyu Dong, Feihong He

TL;DR
This paper demonstrates that the merger tree of dark matter halos exhibits approximate self-similarity, enabling analytical modeling of subhalo mass functions across hierarchical levels, with implications for galaxy formation.
Contribution
It introduces a self-similar analytical model for subhalo peak mass functions based on simulation verification, advancing understanding of hierarchical structure formation.
Findings
Level-1 subhalo PMF is nearly universal across various parameters.
Higher-level subhalos tend to originate from major mergers.
Subhalo accretion rates correlate with host halo growth.
Abstract
In the CDM universe, structure formation is generally not a self-similar process, while some self-similarity remains in certain statistics which can greatly simplify our description and understanding of the cosmic structures. In this work, we show that the merger tree of dark matter halos is approximately self-similar by investigating the universality of the subhalo peak mass function (PMF) describing the mass distribution of progenitor halos. Using a set of cosmological simulations and identifying subhalos of different merger levels with HBT+, we verify that the level-1 subhalo PMF is close to universal across halo mass, redshift, and cosmology. This approximate self-similarity allows us to analytically derive the subhalo PMF for subhalos accreted at any level (i.e., for sub-sub...halos) through self-convolutions of the level-1 PMF, and the resulting model shows good agreement…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
