International Center for Radio Astronomy Research | 2018 Oct 30
Researchers have taught an artificial intelligence program used to recognise faces on Facebook to identify galaxies in deep space.Fourteen radio galaxy predictions ClaRAN made during its scan of radio and infrared
data. All predictions were made with a high ‘confidence’ level, shown as the number
above the detection box. A confidence of 1.00 indicates ClaRAN is extremely
confident both that the source detected is a radio galaxy jet system and that it
has classified it correctly. (Credit: Dr Chen Wu and Dr Ivy Wong, ICRAR/UWA)
The result is an AI bot named ClaRAN that scans images taken by radio telescopes. Its job is to spot radio galaxies—galaxies that emit powerful radio jets from supermassive black holes at their centres.
ClaRAN is the brainchild of big data specialist Dr Chen Wu and astronomer Dr Ivy Wong, both from The University of Western Australia node of the International Centre for Radio Astronomy Research (ICRAR). ...
Dr Wu said ClaRAN grew out of an open source version of Microsoft and Facebook’s object detection software. He said the program was completely overhauled and trained to recognise galaxies instead of people. ...
Dr Wong said the upcoming EMU survey using the WA-based Australian Square Kilometre Array Pathfinder (ASKAP) telescope is expected to observe up to 70 million galaxies across the history of the Universe. She said traditional computer algorithms are able to correctly identify 90 per cent of the sources. ...
Radio Galaxy Zoo: ClaRAN - A Deep Learning Classifier for Radio Morphologies ~ Chen Wu et al
- Monthly Notices of the RAS 482(1):1211 (2019 Jan) DOI: 10.1093/mnras/sty2646
arXiv.org > astro-ph > arXiv:1805.12008 > 30 May 2018 (v1), 29 Oct 2018 (v2)