Lightweight package for cosmology
-
Updated
May 24, 2024 - Julia
Lightweight package for cosmology
Galaxy hosting halos modelling
MultiCAM: A multivariable framework for connecting the mass accretion history of haloes with their properties
Code used to constrain dark matter substructure in the solar neighborhood with Gaia eDR3 wide binaries.
Tabulated Correlation Functions
The Effects of Galaxy Assembly Bias on the Inference of Growth Rate from Redshift-Space Distortions (2019MNRAS.487.2424M)
A Julia package for dark matter profiles and associated functions.
A package to read and fit SPARC data for Galactic Rotation Curves
Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data.
Based on a Fortran code developed by Pier-Stefano Corasaniti (LUTH), the goal of this Python/C code is to provide an efficient yet easy to use library to compute the mass of the most massive galaxy cluster in a given redshift bin.
Runs SWIFT for different DM halo profile initialisations, created with ICICLE. Returns snapshots, plot options for Angular momentum / kin&pot Energies / Density profiles / Overdensity radii / Spatial distribution over time.
Simplified Models and subHalos distributions
Dark matter flow dataset from cosmological N-body simulation
Baryonic Abundance Matching
Analytic expressions for the Dekel-Zhao parametrisation of dark matter haloes.
A python module to implement the halo mass corrections based on Illustris, IllustrisTNG, and EAGLE given in Beltz-Mohrmann et al. (2020).
A model for core formation in dark matter haloes and ultra-diffuse galaxies by outflow episodes
Add a description, image, and links to the dark-matter-halos topic page so that developers can more easily learn about it.
To associate your repository with the dark-matter-halos topic, visit your repo's landing page and select "manage topics."