Automated cross-identification of radio objects and host galaxies using crowdsourced labels from the Radio Galaxy Zoo.
This project aims to develop a machine learned method for cross-identifying radio objects and their host galaxies, using crowdsourced labels from the Radio Galaxy Zoo.
For setup details, see the documentation on Read the Docs.
For a brief description of each notebook, see the documentation here.
The cross-identification dataset is available on Zenodo.
Release history Release notifications
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size crowdastro-0.1.1.tar.gz (39.9 kB)||File type Source||Python version None||Upload date||Hashes View|