/halo-galaxy_connection-tutorial

This repo is a tutorial on halo-galaxy connection

Primary LanguageJupyter Notebook

Tutorial on halo-galaxy connection

Hello there! In this repo you will find a tutorial on halo-galaxy connection developed by @christopherlovell and me (@natalidesanti) for the 10-week collaborative KITP program with in-person components - Building a physical understanding of galaxy evolution with data-driven astronomy. More specificaly tutorial took place virtually on January 24th, 2023.

The conference's repo (with more content) can be found here.

Material

Here you can find:

  • Jupyter-notebooks:
    • Handling data: general data details, including how to read the files, get halo/galaxy properties and pre-process everything
    • Neural Networks: linking halo to galaxies using neural networks
    • SMOGN: data augmentation using SMOGN for all the selected galaxy properties
    • SMOGN predictions for each galaxy property: getting the predictions using the augmented datasets
  • Data
  • Results

Supplementary material

We organized the tutorial based on:

  • Wechsler, R. H. and Tinker, J. L. 2018, arXiv: 1804.03097
  • Lovell, C. C., Wilkins, S. M., Thomas, P. A., Schaller, M., Baugh, C. M., Fabbian, G. and BahĂ©, Y., arXiv: 2106.04980
  • de Santi, N. S. M., Rodrigues, N. V. N., Montero-Dorta, A. D., Abramo, L. R., Tucci, B. and Artale, M. C., arXiv: 2201.06054