We investigate how viewing angle can be important in the classification tasks of galaxies. Specifically, we look at a type of (Active galactic nuclei) AGN galaxies denominated Seyfert galaxies. We obtain photometric and classification data from astronomical databases. After computing some spectral energy distribution models (SED), we analyse the data and present all the code and data in a GitHub repository.
Most of the material is available through Jupyter notebooks in GitHub, and it should be easy to reproduce with the help of Binder. With the notebooks, you could experiment with different parameters to the ones analyzed in the paper. It also contains a large dataset of physical parameters of galaxies analysed in this work. We expect this work to be easily reproducible in the steps described in the repository.
Reproducibility of the Jupyter notebooks available in Github
No associated event.