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.