Radio Galaxy Zoo: CLARAN - A deep learning classifier for radio morphologies
The upcoming next-generation large area radio continuum surveys can expect tens of millions of radio sources, rendering the traditional method for radio morphology classification through visual inspection unfeasible.We present CLARAN-Classifying Radio sources Automatically with Neural networks - a p...
| Main Authors: | Wu, C., Wong, O., Rudnick, L., Shabala, S., Alger, M., Banfield, J., Ong, C., White, Sarah, Garon, A., Norris, R., Andernach, H., Tate, J., Lukic, V., Tang, H., Schawinski, K., Diakogiannis, F. |
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| Format: | Journal Article |
| Published: |
Oxford University Press
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/73873 |
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