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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.

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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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0.1.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
crowdastro-0.1.1.tar.gz (39.9 kB) Copy SHA256 hash SHA256 Source None Oct 26, 2016

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