Pinned Repositories
cosmic-dawn
cosmos2020-readcat
A Jupyter Notebook to get started with the COSMOS2020 catalogue: basic operations like manipulating photometry and plotting galaxy physical quantities.
halomodel
Library written in c with a Python wrapper API to compute dark matter halo model functions based on a given Cosmology.
irac-pipe
scripts (shell and python) to process Spitzer-irac data
prfmap
Pythonic version of PRFMAP, with also several improvements in the intimate structure of the code.
SPLASH_SXDF_Catalog
Codebase for the SPLASH-SXDF catalog
swot
Fast tree code to computes clustering estimates for very large data sets, based on hierarchical and parellelized “divide and conquer” algorithms. Does resampling (bootstrap and jackknife) on the fly.
uvis-pipe
pipeline code for UltraVISTA processing
venice
Fast decision tree software in spherical coordinates for finding objects contaminated by artifacts in images. Highly optimized for large data sets and high number of masks.
Cosmic dawn github's Repositories
cosmic-dawn/cosmos2020-readcat
A Jupyter Notebook to get started with the COSMOS2020 catalogue: basic operations like manipulating photometry and plotting galaxy physical quantities.
cosmic-dawn/prfmap
Pythonic version of PRFMAP, with also several improvements in the intimate structure of the code.
cosmic-dawn/cosmic-dawn
cosmic-dawn/halomodel
Library written in c with a Python wrapper API to compute dark matter halo model functions based on a given Cosmology.
cosmic-dawn/irac-pipe
scripts (shell and python) to process Spitzer-irac data
cosmic-dawn/SPLASH_SXDF_Catalog
Codebase for the SPLASH-SXDF catalog
cosmic-dawn/swot
Fast tree code to computes clustering estimates for very large data sets, based on hierarchical and parellelized “divide and conquer” algorithms. Does resampling (bootstrap and jackknife) on the fly.
cosmic-dawn/uvis-pipe
pipeline code for UltraVISTA processing
cosmic-dawn/venice
Fast decision tree software in spherical coordinates for finding objects contaminated by artifacts in images. Highly optimized for large data sets and high number of masks.