학술논문

Testing dark matter halo properties using self-similarity
Document Type
Working Paper
Source
Mon. Not. R. Astron. Soc. ,501, 5064 (2021)
Subject
Astrophysics - Cosmology and Nongalactic Astrophysics
Astrophysics - Astrophysics of Galaxies
Language
Abstract
We use self-similarity in N-body simulations of scale-free models to test for resolution dependence in the mass function and two-point correlation functions of dark matter halos. We use 1024$^3$ particle simulations performed with ABACUS, and compare results obtained with two halo finders: friends-of-friends (FOF) and ROCKSTAR. The FOF mass functions show a systematic deviation from self-similarity which is explained by resolution dependence of the FOF mass assignment previously reported in the literature. Weak evidence for convergence is observed only starting from halos of several thousand particles, and mass functions are overestimated by at least as much as 20-25 percent for halos of 50 particles. The mass function of the default ROCKSTAR halo catalog (with bound virial spherical overdensity mass), on the other hand, shows good convergence from of order 50 to 100 particles per halo, with no detectable evidence at the few percent level of any systematic dependence for larger particle number. Tests show that the mass unbinding procedure in ROCKSTAR is the key factor in obtaining this much improved resolution. Applying the same analysis to the halo-halo two point correlation function, we find again strong evidence for convergence only for ROCKSTAR halos, at separations sufficiently large so that halos do not overlap. At these separations we can exclude dependence on resolution at the 5-10 percent level once halos have of order 50 to 100 particles. At smaller separations results are not converged even at significantly larger particle number, and bigger simulations would be required to establish the resolution required for convergence.
Comment: 10 pages, 8 figures, version to match published version, small changes (note slightly more conservative bounds on convergence)