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Updated
Jul 21, 2020 - C
Code for Anisotropies in the Microwave Background
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
a lightweight Python binding of the CLASS CMB Boltzmann code
Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
Guide to architect large scale application in Angular
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
Hybrid Map Inference from Large-Scale Galaxy Clustering
interactive cosmological power spectra
Python and C/C++ code to read halo catalogs and other Abacus N-body data products
A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network
A large scale structure void identifier for galaxy surveys based on the Beta-Skeleton graph
A semi-numerical code to generate the Epoch of Reionization (EoR) neutral Hydrogen (HI) field
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