Celeste.jl finds and characterizes stars and galaxies in astronomical images.
It implements variational inference for the generative model described in
Jeffrey Regier, Andrew Miller, Jon McAuliffe, Ryan Adams, Matt Hoffman,
Dustin Lang, David Schlegel, and Prabhat. “Celeste: Variational inference for
a generative model of astronomical images.” In: Proceedings of the 32nd
International Conference on Machine Learning (ICML). 2015.
and
Jeffrey Regier, Kiran Pamnany, Ryan Giordano, Rollin Thomas, David Schlegel, Jon McAuliffe, Prabhat.
“Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference.”
In: arXiv pre-print. 2017.
Please see the project wiki for documentation.
Celeste.jl is free software, licensed under version 2.0 of the Apache
License.