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2nd of August 2017
ATNF Colloquium
Radio Galaxy Zoo: citizen science, machine learning, and serendipity
by Julie Banfield (ANU)
Abstract. In this presentation I will provide the science results from the first Radio Galaxy Zoo data release. I will present findings on our serendipitous discoveries of one of the largest known radio sources, spiral galaxies hosting radio-loud AGN, and the large population of galaxies showing evidence of jet-induced star formation (positive feedback) called green DRAGNs. I will also highlight the Radio Galaxy Zoo results from previously unreported giant radio galaxies and hybrid morphology radio sources. In order to prepare for the large data volumes that will be available in the next few years, we have begun machine learning collaborations to tackle the issue of radio source identification with their corresponding host galaxy. The results of our machine learning work will also be presented and will highlight the state of this research area for the upcoming pre-SKA era.

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