Automated cross-identification of radio objects and host galaxies using crowdsourced labels from the Radio Galaxy Zoo.
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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.
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| File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
|---|---|---|---|
| crowdastro-0.1.1.tar.gz (39.9 kB) Copy SHA256 Checksum SHA256 | – | Source | Oct 26, 2016 |
