National Astronomical Observatory of Japan | 2020 Aug 11
Astronomers have applied artificial intelligence (AI) to ultra-wide field-of-view images of the distant Universe captured by the Subaru Telescope, and have achieved a very high accuracy for finding and classifying spiral galaxies in those images. This technique, in combination with citizen science, is expected to yield further discoveries in the future.Click to play embedded YouTube video.
A research group, consisting of astronomers mainly from the National Astronomical Observatory of Japan (NAOJ), applied a deep-learning technique, a type of AI, to classify galaxies in a large dataset of images obtained with the Subaru Telescope. Thanks to its high sensitivity, as many as 560,000 galaxies have been detected in the images. It would be extremely difficult to visually process this large number of galaxies one by one with human eyes for morphological classification. The AI enabled the team to perform the processing without human intervention.
Automated processing techniques for extraction and judgment of features with deep-learning algorithms have been rapidly developed since 2012. Now they usually surpass humans in terms of accuracy and are used for autonomous vehicles, security cameras, and many other applications. ...
Spin Parity of Spiral Galaxies II: A Catalogue of 80 K Spiral Galaxies Using Big Data
from the Subaru Hyper Suprime-Cam Survey and Deep Learning ~ Ken-ichi Tadaki et al
- Monthly Notices of the RAS 496(4):4276 (Aug 2020) DOI: 10.1093/mnras/staa1880
- arXiv.org > astro-ph > arXiv:2006.13544 > 24 Jun 2020
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