Journal
ASTROPHYSICAL JOURNAL
Volume 786, Issue 1, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/786/1/50
Keywords
cosmology: theory; Galaxy: formation
Categories
Funding
- NSF [1122374]
- Division Of Astronomical Sciences
- Direct For Mathematical & Physical Scien [0907969] Funding Source: National Science Foundation
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We investigate how different cosmological parameters, such as those delivered by the WMAP and Planck missions, affect the nature and evolution of the dark matter halo substructure. We use a series of flat. cold dark matter cosmological N-body simulations of structure formation, each with a different power spectrum but with the same initial white noise field. Our fiducial simulation is based on parameters from the WMAP seventh year cosmology. We then systematically vary the spectral index, n(s); matter density, Omega(M); and normalization of the power spectrum, sigma(8), for seven unique simulations. Across these, we study variations in the subhalo mass function, mass fraction, maximum circular velocity function, spatial distribution, concentration, formation times, accretion times, and peak mass. We eliminate dependence of subhalo properties on host halo mass and average the values over many hosts to reduce variance. While the same subhalos from identical initial overdensity peaks in higher s(8), n(s), and Omega(m) simulations accrete earlier and end up less massive and closer to the halo center at z = 0, the process of continuous subhalo accretion and destruction leads to a steady state distribution of these properties across all subhalos in a given host. This steady state mechanism eliminates cosmological dependence on all of the properties listed above except for subhalo concentration and V-max, which remain greater for higher s(8), n(s), and Omega(m) simulations, and subhalo formation time, which remains earlier. We also find that the numerical technique for computing the scale radius and the halo finder that were used can significantly affect the concentration-mass relationship as computed for a simulation.
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