Researchers taught an artificial intelligence program that identifies faces on Facebook to identify galaxies in space.
The result is a KI-Bot called ClaRAN, which scans images taken by radio telescopes.
Its mission is to detect radio galaxies – galaxies emitting massive radio jets from supermassive black holes in their centers. ClaRAN is the Brainchild of big data specialist dr. Chen Wu and the astronomer Dr. Ivy Wong, both from the University of Western Australia node of the International Center for Radio Astronomy Research (ICRAR).
Dr. Wong said black holes are at the center of most, if not all galaxies.
"These supermassive black holes occasionally spit out jets that can be seen with a radio telescope," she said.
The jets can extend far from their host galaxies, making it difficult for traditional computer programs to find out where the galaxy is.
"That's what we're trying to teach ClaRAN."
Dr. Wu ClaRAN evolved from an open source version of the object recognition software from Microsoft and Facebook.
He said the program has been completely redesigned and trained to detect galaxies instead of humans.
ClaRAN itself is also open source and publicly available on GitHub
Dr. Wong said the upcoming EMU survey with the WA-based ASKAP (Australian Square Kilometer Array Pathfinder) telescope is expected to see as many as 70 million galaxies in the universe's history.
She said that traditional computer algorithms 90 can correctly identify percent of sources.
"There are still 10 percent, or seven million," difficult "galaxies that must be observed by a human due to the complexity of their extended structures," Dr. Wong.
DR. Wong has previously used the power of citizen science to locate galaxies through the Radio Galaxy Zoo project.
"When ClaRAN reduces the number of sources that require visual classification to one percent, it means more time for our citizen scientists to look at new types of galaxies," she said.
A high-accuracy catalog created by volunteers from Radio Galaxy Zoo was used to train ClaRAN on how to find where the jets came from.
Dr. Wu said ClaRAN is an example of a new paradigm called & # 39; programming 2.0 & # 39 ;.
"You just have to build a huge neural network, give it a lot of data, and figure out how to shut down its internal connections to achieve the expected result," he said.
"The new generation of programmers spend 99 percent of their time creating records of the highest quality, and then train the AI algorithms to optimize the rest.
" This is the future of programming. "
Dr. Wong said ClaRAN has great implications for the processing of telescope observations.
" If we can use these advanced methods for our next generation of surveys, we can maximize science from them, "she said. 19659005] "There are no 40-year-old methods to prove with brand-new data because we try to explore the universe further than ever before.
A research paper on ClaRAN was published today in Monthly Notices of the Royal Astronomical Society .
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