UCLA researchers develop new algorithm to secure piles
[Tiago Campante/Peter Devine via NASA 제공/ 재판매 및 DB 금지]
(Seoul = Yonhap News) Reporter Eom Nam-seok = Astronomers at the University of California, Los Angeles (UCLA) in the United States developed a new algorithm to find planets orbiting other stars outside the solar system and found about 360 candidates for exoplanets at once.
This is quite a number considering that there are currently fewer than 5,000 exoplanets identified.
According to UCLA and science-specialized media, the research team in which the university’s astronomy professor Eric Pettigura and others participated, analyzed the ‘K2 mission’ data collected by NASA’s Kepler Space Telescope with a new algorithm and found 366 exoplanet candidates. It was published in The Astronomical Journal.
This includes a very rare planetary system in which two Saturn-sized gaseous planets orbit close to a star (stellar).
The Kepler Space Telescope, called the ‘planet hunter’, has searched for exoplanets using the so-called ‘transit’ method, which captures the periodic decrease in starlight as the planet passes in front of the star.
However, this reduction in starlight can also be caused by observing equipment or non-planets, so we have been working to filter out ‘fakes’, extract signals that require further investigation, and spend a lot of time visually confirming them.
The research team developed a new algorithm that can solve all these verification tasks with computer software, and applied it to 500 terabytes of K2 data with over 800 million stellar images.
[NASA Ames/ W Stenzel 제공/ 재판매 및 DB 금지]
As a result, 366 new exoplanet candidates that were previously unknown were discovered. In addition, 381 items that were already on the list were additionally confirmed.
Exoplanet candidates found by the research team can only be officially added to the exoplanet list after verification. As of mid-November, there are 4,575 exoplanets on the list.
“The discovery of hundreds of new exoplanets is an important achievement in itself,” said Prof Pettigura.
“We need to see not only stars like the sun, but a variety of stars,” said Dr. John Zink, who developed the new algorithm as the first author of the paper. provides,” he said.
Meanwhile, a research team led by USRA researcher Hamed Balizadegan also reported that 301 exoplanet candidates were listed on the exoplanet list using ExoMiner, a deep neural network that can check whether an exoplanet exists. announced.
eomns@yna.co.kr
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2021/11/27 09:46 Send
