Code for Anisotropies in the Microwave Background
-
Updated
Aug 27, 2024 - Fortran
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
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
Augmented halo model for accurate non-linear matter power spectrum calculations
A pure Python halo-model implementation for power spectra of any large-scale structure tracer combination.
A pure python implementation of HMcode
Full-Shape Power Spectrum and Bispectrum Likelihoods
JAX-based linear Einstein-Boltzmann solver for cosmology
Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
a lightweight Python binding of the CLASS CMB Boltzmann code
Accurate predictions for the clustering of galaxies in redshift-space in Python
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
Cosmology Group repo for its public webpage, reviews & publications on tensions in ΛCDM, redshift and the CMB
Public release of data products following the BORG SDSS analysis
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.
Add a description, image, and links to the large-scale-structure topic page so that developers can more easily learn about it.
To associate your repository with the large-scale-structure topic, visit your repo's landing page and select "manage topics."