The viewing angle in AGN SED models, a data-driven analysis

Review this paper

Submitted by aframosp

Oct. 18, 2021, 5:07 p.m.

The viewing angle in AGN SED models, a data-driven analysis

Andrés Felipe Ramos Padilla, Lingyu Wang, Katarzyna Małek, Andreas Efstathiou, Guang Yang
Pre-print submitted to Monthly Notices of the Royal Astronomical Society
DOI:  None        

  Mean reproducibility score:   9.0/10   |   Number of reviews:   1

Brief Description
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.
Why should we reproduce your paper?
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.
What should reviewers focus on?
Reproducibility of the Jupyter notebooks available in Github


Associated event

No associated event.