large-scale-structure

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

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

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

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

a lightweight Python binding of the CLASS CMB Boltzmann code

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

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.

Public release of data products following the BORG SDSS analysis

Guide to architect large scale application in Angular

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

Full-Shape Power Spectrum and Bispectrum Likelihoods

A semi-numerical code to generate the Epoch of Reionization (EoR) neutral Hydrogen (HI) field.

interactive cosmological power spectra 🔭 🌎 🛰️ 🚀

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

A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network