madness-deblender 1.0b1

Galaxy deblender from variational autoencoders

MADNESS

Maximum A posteriori with Deep NEural networks for Source Separation

This repository contains the code for the MADNESS project under development within the framework of the LSST Dark Energy Science Collaboration (LSST DESC). MADNESS obtains the MAP solution to deblend galaxies in a blended scene by performing gradient descent in a VAE latent space.

A release is being planned soon... Till then the package needs to be installed via GitHub

Installation

For testing the deblender, the package can directly be installed from GitHub

pip install git+https://github.com/b-biswas/madness.git

For contributing (further instructions to be added soon):

git clone https://github.com/b-biswas/madness/
cd madness
pip install -e .[dev]

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Biswajit Biswas 💻 🤔 ⚠️ 🚧

Junpeng Lao 💻 👀 🤔

Alexandre Boucaud 👀 🤔

Eric Aubourg 🤔

Cécile Roucelle 🤔

Axel Guinot 🤔

This project follows the all-contributors specification. Contributions of any kind welcome!

License

MIT