Achieving Convergence in Galaxy Formation Models by Augmenting N-body Merger Trees

Abstract

Accurate modeling of galaxy formation in a hierarchical, cold dark matter universe requires the use of sufficiently high-resolution merger trees to obtain convergence in the predicted properties of galaxies. When semi-analytic galaxy formation models are applied to cosmological N-body simulation merger trees, it is often the case that those trees have insufficient resolution to give converged galaxy properties. We demonstrate a method to augment the resolution of N-body merger trees by grafting in branches of Monte Carlo merger trees with higher resolution, but which are consistent with the pre-existing branches in the N-body tree. We show that this approach leads to converged galaxy properties.

Accepted for publication in Computational Astrophysics and Cosmology. Version with full resolution figures available at https://users.obs.carnegiescience.edu/abenson/galacticus/augment.pdf