Skip to main content

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

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

crowdastro-0.1.1.tar.gz (39.9 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page