VOId dynAmics and Geometry ExploreR
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Updated
Feb 26, 2024 - Python
VOId dynAmics and Geometry ExploreR
On the constraints of galaxy assembly bias in velocity space (2022MNRAS.509..380M)
A large scale structure void identifier for galaxy surveys based on the Beta-Skeleton graph
BAO Reconstruction code in Julia
Cleaned repository focusing on running RascalC library for semi-analytical galaxy 2-point correlation function covariance matrices
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
A python module to implement the halo mass corrections based on Illustris, IllustrisTNG, and EAGLE given in Beltz-Mohrmann et al. (2020).
Code to compute the 4-point correllation function binned by distances between and within 2 different pairs of galaxies
LearnIt! is an e-learning social network designed with two different databases: MongoDB (in a cluster of three nodes) and Neo4J
encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA
RascalC: A Fast Code for Galaxy Covariance Matrix Estimation
A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network
interactive cosmological power spectra 🔭 🌎 🛰️ 🚀
Python code to create a 3D cosmological particle-mesh nbody simulation. Supports parallel computing via Numba/pyFFTW.
Guide to architect large scale application in Angular
A semi-numerical code to generate the Epoch of Reionization (EoR) neutral Hydrogen (HI) field.
Cosmology Group repo for its public webpage, reviews & publications on tensions in ΛCDM, redshift and the CMB
Estimators and data for window-free analysis of power spectra and bispectra
Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters
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