Code to compute the 4-point correllation function binned by distances between and within 2 different pairs of galaxies

Guide to architect large scale application in Angular

VOId dynAmics and Geometry ExploreR

On the constraints of galaxy assembly bias in velocity space (2022MNRAS.509..380M)

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

BAO Reconstruction code in Julia

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

EFTofLSS analysis pipeline

encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA

BisPiGalS 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.

⚡️⚡️⚡️Blazing fast correlation functions on the CPU.

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

A python module to implement the halo mass corrections based on Illustris, IllustrisTNG, and EAGLE given in Beltz-Mohrmann et al. (2020).

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.

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

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.

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

Evaluation of cosmological probes in CLASS

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