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FIRST Classifier: Automated compact and extended radio sources classifier

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Ada Coda
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FIRST Classifier: Automated compact and extended radio sources classifier

Postby Ada Coda » Sun Sep 01, 2019 2:32 am

FIRST Classifier: Automated compact and extended radio sources classifier

Abstract: FIRST Classifier is an on-line system for automated classification of compact and extended radio sources. It is developed based on a trained Deep Convolutional Neural Network Model to automate the morphological classification of compact and extended radio sources observed in the FIRST radio survey. FIRST Classifier is able to predict the morphological class for a single source or for a list of sources as Compact or Extended (FRI, FRII and BENT).

Credit: Alhassan, Wathela; Taylor, A. R.; Vaccari, Mattia

Site: https://github.com/wathela/FIRST-CLASSIFIER
https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.2085A

Bibcode: 2019ascl.soft08023A

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.2085A

ID: ascl:1908.023

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