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

Large suite of N-body simulations

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

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

A pure python implementation of HMcode

Full-Shape Power Spectrum and Bispectrum Likelihoods

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

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

Harmonic-space statistics on the sphere

A python version of the CosmoMMF package originally written in Julia.

EFTofLSS analysis pipeline

Python code to create a 3D cosmological particle-mesh nbody simulation. Supports parallel computing via Numba/pyFFTW.

SelfiSys: Assess the Impact of Systematic Effects in Galaxy Surveys.

RascalC: A Fast Code for Galaxy Covariance Matrix Estimation

VOId dynAmics and Geometry ExploreR

The codes for computing the scale-dependent peak height function and the scale-dependent valley depth function of the cosmic-log density field.

Cleaned repository focusing on running RascalC library for semi-analytical galaxy 2-point correlation function covariance matrices

This repository aims at understanding the cosmic web through T-Web classification scheme. It calculates the Tidal fields in a cosmological simulation box and uses it to classify the large-scale structures of the Universe.

BIPOLARS is a Python-based pipeline for computing higher-order statistical measures, such as bispectrum and power spectrum multipoles, from galaxy survey data, optimized for parallel processing and cosmological analysis.

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