This repo contains the scripts to use the deblending algorithm based on variational autoencoders presented in Arcelin et al. (2020).
It can be used exclusively (for now) on images generated by the LSST DESC DC2 simulation.
An application of debvader on DC2 images is presented in this notebook tutorial.
python -m pip install git+https://github.com/astrodeepnet/debvaderor locally
pip install --editable .Thanks goes to these wonderful people (emoji key):
 Bastien Arcelin 💻 📆 🤔 |
 Cyrille Doux 🤔 |
 Biswajit Biswas 🤔 💻 |
 Cécile Roucelle 🤔 |
 Eric Aubourg 🤔 |
 Alexandre Boucaud 🚧 💻 👀 |
 Axel Guinot 🤔 |
This project follows the all-contributors specification. Contributions of any kind welcome!
debvader is released under a BSD 3-Clause license.
See the LICENSE file for more information.