Galaxy formation is at the heart of our understanding of cosmic evolution. Although there is a
consensus that galaxies emerged from the expanding matter background by gravitational …

Despite its continued observational successes, there is a persistent (and growing) interest in
extending cosmology beyond the standard model, Λ CDM. This is motivated by a range of …

Numerical methods have become a powerful tool for research in astrophysics, but their utility
depends critically on the availability of suitable simulation codes. This calls for continuous …

We present a method to flexibly and self-consistently determine individual galaxies' star
formation rates (SFRs) from their host haloes' potential well depths, assembly histories, and …

Predicting structural properties of dark matter haloes is one of the fundamental goals of
modern cosmology. We use the suite of MultiDark cosmological simulations to study the …

We present cosmological constraints from a simulation-based inference (SBI) analysis of
galaxy clustering from the SimBIG forward modeling framework. SimBIG leverages the …

Modeling galaxy formation in a cosmological context presents one of the greatest
challenges in astrophysics today due to the vast range of scales and numerous physical …

To gain understanding of the complicated, non-linear, and numerical processes associated
with the tidal evolution of dark matter subhaloes in numerical simulation, we perform a large …

We present a new algorithm for identifying dark matter halos, substructure, and tidal
features. The approach is based on adaptive hierarchical refinement of friends-of-friends …

We present an optimized variant of the halo model, designed to produce accurate matter
power spectra well into the non-linear regime for a wide range of cosmological models. To …