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[ascl:2105.018] ClaRAN: Classifying Radio sources Automatically with Neural networks

ClaRAN (Classifying Radio sources Automatically with Neural networks) classifies radio source morphology based upon the Faster Region-based Convolutional Neutral Network (Faster R-CNN). It is capable of associating discrete and extended components of radio sources in an automated fashion. ClaRAN demonstrates the feasibility of applying deep learning methods for cross-matching complex radio sources of multiple components with infrared maps. The promising results from ClaRAN have implications for the further development of efficient cross-wavelength source identification, matching, and morphology classifications for future radio surveys.

Code site:
https://github.com/chenwuperth/rgz_rcnn
Described in:
https://ui.adsabs.harvard.edu/abs/2019MNRAS.482.1211W
Bibcode:
2021ascl.soft05018W

Views: 395

ascl:2105.018
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