Code for Anisotropies in the Microwave Background

⚡️⚡️⚡️Blazing fast correlation functions on the CPU.

Analysis kit for large-scale structure datasets, the massively parallel way

Large suite of N-body simulations

NumCosmo main code

This is the public repository for the AbacusSummit suite, intended for specifications of the simulations and instructions for reading the files.

JAX-based linear Einstein-Boltzmann solver for cosmology

Python code to interface with halo catalogs and other Abacus N-body data products

A pure Python halo-model implementation for power spectra of any large-scale structure tracer combination.

Augmented halo model for accurate non-linear matter power spectrum calculations

A pure python implementation of HMcode

Full-Shape Power Spectrum and Bispectrum Likelihoods

a lightweight Python binding of the CLASS CMB Boltzmann code

Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation

Accurate predictions for the clustering of galaxies in redshift-space in Python

Cosmology Group repo for its public webpage, reviews & publications on tensions in ΛCDM, redshift and the CMB

Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters

Estimators and data for window-free analysis of power spectra and bispectra

Public release of data products following the BORG SDSS analysis

This is a short astro-physical program showing how to compute the adhesion model, describing the large-scale structure of the Universe, using regular triangulations in CGAL (www.cgal.org), as well as using the Convex Hull algorithm present in Python's Scipy.