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EI2GYB > ASTRO 25.04.23 17:46l 91 Lines 4741 Bytes #999 (0) @ WW
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Subj: Researchers use AI to discover new planet outside solar sys
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Researchers use AI to discover new planet outside solar system
The exoplanet was detected using machine learning, a branch of artificial
intelligence
Date:
April 24, 2023
Source:
University of Georgia
Summary:
A research team has confirmed evidence of a previously unknown planet
outside of our solar system, and they used machine learning tools to detect it.
A recent study by the team showed that machine learning can correctly determine
if an exoplanet is present by looking in protoplanetary disks, the gas around
newly formed stars. The newly published findings represent a first step toward
using machine learning to identify previously overlooked exoplanets.
A University of Georgia research team has confirmed evidence of a previously
unknown planet outside of our solar system, and they used machine learning
tools to detect it.
A recent study by the team showed that machine learning can correctly determine
if an exoplanet is present by looking in protoplanetary disks, the gas around
newly formed stars.
The newly published findings represent a first step toward using machine
learning to identify previously overlooked exoplanets.
"We confirmed the planet using traditional techniques, but our models directed
us to run those simulations and showed us exactly where the planet might be,"
said Jason Terry, doctoral student in the UGA Franklin College of Arts and
Sciences department of physics and astronomy and lead author on the study.
"When we applied our models to a set of older observations, they identified a
disk that wasn't known to have a planet despite having already been analyzed.
Like previous discoveries, we ran simulations of the disk and found that a
planet could re-create the observation."
According to Terry, the models suggested a planet's presence, indicated by
several images that strongly highlighted a particular region of the disk that
turned out to have the characteristic sign of a planet -- an unusual deviation
in the velocity of the gas near the planet.
"This is an incredibly exciting proof of concept. We knew from our previous
work that we could use machine learning to find known forming exoplanets," said
Cassandra Hall, assistant professor of computational astrophysics and principal
investigator of the Exoplanet and Planet Formation Research Group at UGA. "Now,
we know for sure that we can use it to make brand new discoveries."
The discovery highlights how machine learning has the power to enhance
scientists' work, utilizing artificial intelligence as an added tool to expand
researchers' accuracy and more efficiently economize their time when engaged in
such a vast endeavor as investigating deep, outer space.
The models were able to detect a signal in data that people had already
analyzed; they found something that previously had gone undetected.
"This demonstrates that our models -- and machine learning in general -- have
the ability to quickly and accurately identify important information that
people can miss. This has the potential to dramatically speed up analysis and
subsequent theoretical insights," Terry said. "It only took about an hour to
analyze that entire catalog and find strong evidence for a new planet in a
specific spot, so we think there will be an important place for these types of
techniques as our datasets get even larger."
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