Automated cross-identification of radio objects and host galaxies using crowdsourced labels from the Radio Galaxy Zoo.


Keywords
machine-learning, radio, astronomy, classification
License
MIT
Install
pip install crowdastro==0.1.1

Documentation

crowdastro

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.

PyPI Travis-CI Documentation Status DOI

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.