SEAWRD
Welcome to SEAWRD’s documentation! This project is a Python package for training and evaluating surrogate models, primarily for simulating expensive exoplanet simulations. It provides tools for preprocessing data, training surrogate models, and evaluating their performance. The package is designed to be user-friendly and flexible, allowing researchers to easily integrate it into their workflows.
SEAWRD was created during Code/Astro 2026, and is still under active development. We welcome contributions from the community, and encourage users to report issues and submit pull requests on our GitHub repository.
Accreditation
Please cite the DOI if you make use of this software in your research.
Acknowledgements
The data source file “DNN_data_IOP_Aguichine2021.dat” used in the example usage Jupyter notebook is from Aguichine et al. (2021), and you are encouraged to read their paper found here:
Aguichine, O. Mousis, M. Deleuil, and E. Marcq, “Mass–Radius relationships for irradiated ocean planets,” The Astrophysical Journal, vol. 914, no. 2, p. 84, Jun. 2021, doi: 10.3847/1538-4357/abfa99.