AI to remove noise from astronomical data is a step ahead in the field of computer technology. Astronomers at the Japanese Astronomical Observatory have come with a neo artificial intelligence system. The system helps astronomers segregate the unwanted noise from the astronomical data sets. And get a clear, yet helpful picture of the universe as a result. For this, astronomers have blended simulation and observation with AI to remove noise and unveil a clearer universe. Not only the team used this trio, but also put Japan’s Subaru Telescope to the real test.
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AI to remove noise from astronomical data- the limiting factor
While scientists and astronomers rely on the lensing patterns to know the universe better, they study gravitational lensing for that reason. Now, a point to note here is that the universe consists of dark matter and foreground galaxies largely. So when observed from telescopes, distant galaxies often appear disfigured due to the gravitational lensing effect of these galaxies. A classic example of this is “Eyes of Horus”. In addition to this, studying a large-scale structure is often problematic, as it gets tough for astronomers to identify the real distorted galaxies from it. Hence, this becomes a limiting factor for the progress curve. And astronomers have termed this as shape noise for large-scale mock data.
ATERUI II and Subaru Telescope:
Now ATERUI II is the world’s second most powerful supercomputer that helps astronomers in producing a large number of galaxy mock catalogs. And they club these mocks with the real Subaru telescope’s data and produce some significant results. Masato Shirasaki is the team lead of the simulation-cum-AI model and believes in exploring the currently available tools more. He says, “This research shows the benefits of combining different types of research: observations, simulations, and AI data analysis. In this era of big data, we need to step across traditional boundaries between specialties and use all available tools to understand the data. If we can do this, it will open new fields in astronomy and other sciences.” Results that the team has established so far tells that AI to remove noise from large mock data sets could be a promising research area.
