SURFS: Riding the waves with Synthetic UniveRses For Surveys
Abstract
We present the Synthetic UniveRses For Surveys ({\sc surfs}) simulations, a set of N-body/Hydro simulations of the concordance Cold Dark Matter (\LCDM) cosmology. These simulations use Planck cosmology, contain up to 10 billion particles and sample scales & halo masses down to kpc & . We identify and track haloes from to today using a state-of-the-art 6D halo finder and merger tree builder. We demonstrate that certain properties of halo merger trees are numerically converged for haloes composed of particles. Haloes smoothly grow in mass, , with the mass history characterised by where is the scale factor, \& , with these parameters decreasing with decreasing halo mass. Subhaloes follow power-law cumulative mass and velocity functions, i.e. with and for mass \& velocity respectively, independent of redshift, as seen in previous studies. The halo-to-halo scatter in amplitude is ~dex. The number of subhaloes in a halo weakly correlates with a halo's concentration \& spin :haloes of high \& low have more subhaloes than similar mass haloes of low \& high . High cadence tracking shows subhaloes are dynamic residents, with leaving their host halo momentarily, becoming a backsplash subhalo, and another changing hosts entirely, in agreement with previous studies. In general, subhaloes have elliptical orbits, , with periods of ~Gyrs. Subhaloes lose most of their mass at pericentric passage with mass loss rates of ~Gyr. These catalogues will be made publicly available.
Keywords
Cite
@article{arxiv.1712.01988,
title = {SURFS: Riding the waves with Synthetic UniveRses For Surveys},
author = {Pascal J. Elahi and Charlotte Welker and Chris Power and Claudia del P. Lagos and Aaron Robotham and Rodrigo Cañas and Rhys Poulton},
journal= {arXiv preprint arXiv:1712.01988},
year = {2018}
}
Comments
22 pages, 20 figures, accepted for publication in MNRAS