repositories | Learning the Universe

Collaboration Repositories

All-in-one framework for machine learning parameter inference in astrophysics and cosmology

Modular forward simulator of CMASS-NGC galaxy clustering

Scripts and experiments for the LtU Go Big large-scale CMASS-NGC inference experiment

Python code for generating synthetic astrophysical observables from simulations

Auto-regressive neural network model for generating halo catalogs from particle-mesh simulations

Transformer-based generative model for creating halo catalogs from low-resolution PM simulations

Coverage tests for validating the quality of posterior estimators

Implementation of PQMass, a goodness-of-fit test for comparing distributions

Week-long ML and astrophysics program for undergraduate students at the Ciela Institute

JAX-based model for gas thermodynamics and matter distribution

Tools for computing star formation rates using pressure-regulated, feedback-modulated theory

Official website for the Simons Collaboration on Learning the Universe

Precise symbolic emulators of the linear and nonlinear matter power spectrum