Welcome to skais-mapper
A framework for generating deep-learning SKA radio telescope & cosmological hydrodynamical simulation data.
Table Of Contents
skais-mapper is a collection of tools for generating, plotting, and
pre-processing hydrodynamics simulation (image) data for
state-of-the-art generative AI models.
It is fully compatible with SPH data from the AREPO simulator, in particular the IllustrisTNG suite.
It provides utility routines to fetch isolated halos from simulations snapshots and various raytracing algorithms for 2D column density projections of these halos and its galaxies. Although the package is mostly built on python, the raytracing module also includes some C extensions for the intensive computation (building and visualizing datasets). The framework generates HDF5 files with image datasets of various galactic properties, such as dark matter, star, or gas column density distributions.