Gravity Simulation (Galaxy Birth) in real time, N-Body and 1-Body

Dense Basis SED fitting

Zeus21: Lightning-fast simulations of cosmic dawn

Estimating galaxy gas mass fractions using SDSS imaging

Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada

Learning astrophysics with top-k sparse feature networks (SFNets)

Spherical Overdensity Aperture Processor: MPI parallel Python code to compute properties of halos in SWIFT n-body simulations

Flexible, fully bayesian stacking software for modelling of astronomical data sets

The Meraxes semi-analytic galaxy formation model.

Home of the semi-analytical / semi-numerical galaxy evolution and reionization code ASTRAEUS

CCN UNet detector, intended to be applied to galaxy images to discover regions.

A model for core formation in dark matter haloes and ultra-diffuse galaxies by outflow episodes

Implementation of the BarnesHut algorithm in Julia, with benchmark comparisons with the brute force algorithm.

Parallelized direct N-body code in Python + Numba to simulate galaxy mergers with ~2×10⁵ particles

Systematic comparison of galaxies in cosmic voids versus dense "walls" using DESI DR1 data to investigate environmental quenching mechanisms in galaxy evolution.

Regression of galaxy spin with morphology, stellar mass and (local + large-scale) environment. Random forests, and code to generate thesis plots.

SAGA stands for Stacker and Analyzer of GAlaxies and is a small package written in Python to study the evolution of galaxies.

Flexible, fully bayesian stacking software for modelling of astronomical data sets

Kinematic position angle estimation and classification for galaxy velocity fields. Human and machine learning classifications flags.

Investigating the relationship between black hole activity