This repository contains code to help with general Gaia data handling and to perform a Bayesian analysis of the kinematics of stars in the Milky Way as described in A Bayesian Estimation of the Milky Way’s Circular Velocity Curve using Gaia DR3 (Põder, Benito et al. 2023).
The code is all written in python3 and makes substantial use of the standard pandas, numpy, matplotlib, etc. Additional libraries that you may need to investigate depending on your installation:
To install the project as an importable package do the following:
- Download as a tar.gz archive
- Use pip install 'gaia_tools.tar.gz' or whatever the file name is
- Inside code 'import gaia_tools' or other submodules inside the project
- Done!
The input data used in the paper can be found on Zenodo.
The folder jupyter-notebok contains Jupyter Notebooks with examples of how to use this package.
If you use this material, please don't forget to cite Põder et al. 2023.