Guide to architect large scale application in Angular
-
Updated
Feb 23, 2018
Guide to architect large scale application in Angular
Accurate predictions for the clustering of galaxies in redshift-space in Python
A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network
Public release of data products following the BORG SDSS analysis
A large scale structure void identifier for galaxy surveys based on the Beta-Skeleton graph
a lightweight Python binding of the CLASS CMB Boltzmann code
A python module to implement the halo mass corrections based on Illustris, IllustrisTNG, and EAGLE given in Beltz-Mohrmann et al. (2020).
A semi-numerical code to generate the Epoch of Reionization (EoR) neutral Hydrogen (HI) field.
encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA
Code to compute the 4-point correllation function binned by distances between and within 2 different pairs of galaxies
Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
Analysis kit for large-scale structure datasets, the massively parallel way
BAO Reconstruction code in Julia
Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
interactive cosmological power spectra 🔭 🌎 🛰️ 🚀
Python code to create a 3D cosmological particle-mesh nbody simulation. Supports parallel computing via Numba/pyFFTW.
Augmented halo model for accurate non-linear matter power spectrum calculations
VOId dynAmics and Geometry ExploreR
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."