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crowdastro 0.1.1

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.

 
File Type Py Version Uploaded on Size
crowdastro-0.1.1.tar.gz (md5) Source 2016-10-26 38KB