This repository contains a dynamically decomposed (bulge-disc) catalog for IllustrisTNG-100-1 (which at the time the work was carried out was the highest resolution publicly available dataset) and an example code describing the methodology in Galaxy_decomposition_methodology.ipynb.
For full details please refer to the paper at https://arxiv.org/abs/2105.02237
Figure: Example of a decomposed galaxy from TNG100-1. The procedure, dynamical/kinematic parameters and variables used here are explained in the paper.
Figure: Parameters from fits to Sersic profiles on the projected mass profiles of decomposed components of galaxies of TNG100-1. More details are in the paper.
Examples_with_catalog.ipynb notebook demonstrates how to use the data catalog data/TNG100-1_99_galaxy_scale_len_height_no-idx-bound_Cis1_5r.dat
To run the example notebook, the following Python packages are required other than standard ones like pandas, numpy, scipy, matplotlib:
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