Mar 1, 2023
AI draws most accurate map of star birthplaces in the Galaxy
140,000 molecular gas clouds—where stars form—locations predicted!
The poster of the FUGIN (FOREST Unbiased Galactic plane Imaging survey with Nobeyama 45-m telescope) project (https://nro-fugin.github.io/). The upper panel shows the distribution of molecular clouds in the Milky Way Galaxy obtained by the Nobeyama 45-m radio telescope. The lower panel shows infrared observation by the Spitzer Space Telescope.
Stars are formed by molecular gas and dust coalescing in space. These molecular gases are so dilute and cold that they are invisible to the human eye, but they do emit faint radio waves that can be observed by radio telescopes.
Observing from Earth, a lot of matter lies ahead and behind these molecular clouds and these overlapping features make it difficult to determine their distance and physical properties such as size and mass. So, even though our Galaxy, the Milky Way, is the only galaxy close enough to make detailed observations of molecular clouds in the whole universe, it has been very difficult to investigate the physical properties of molecular clouds in a cohesive manner from large-scale observations.
A research team led by Dr. Shinji Fujita from the Osaka Metropolitan University Graduate School of Science, identified about 140,000 molecular clouds in the Milky Way Galaxy, which are areas of star formation, from large-scale data of carbon monoxide molecules, observed in detail by the Nobeyama 45-m radio telescope. Using artificial intelligence, the research team estimated the distance of each of these molecular clouds, determined their size and mass and successfully mapped their distribution, covering the first quadrant of the Galactic plane, in the most detailed manner to date.
Their findings were published in Publications of the Astronomical Society of Japan.
“The results not only give a bird's eye view of the Galaxy but will also help in various studies of star formation,” explained Dr. Fujita. “In the future, we would like to expand the scope of observations with the Nobeyama 45-m radio telescope and incorporate radio telescope observation data of the sky in the southern hemisphere, which cannot be observed from Japan, for a complete distribution map of the entire Milky Way.”
This study was financially supported by Grants-in-Aid for Scientific Research (KAKENHI) of the Japanese Society for the Promotion of Science (grant numbers 17H06740 and JP21H00049) and “Young interdisciplinary collaboration project” in the National Institutes of Natural Sciences.
Journal: Publications of the Astronomical Society of Japan
Title: Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning: I. Method and Results
Author: Fujita Shinji, Ito Atsushi M., Miyamoto Yusuke, Kawanishi Yasutomo, Torii Kazufumi, Shimajiri Yoshito, Nishimura Atsushi, Tokuda Kazuki, Ohnishi Toshikazu, Kaneko Hiroyuki, Inoue Tsuyoshi, Takekawa Shunya, Kohno Mikito, Ueda Shota, Nishimoto Shimpei, Yoneda Ryuki, Nishikawa Kaoru, Yoshida Daisuke
Publish: January 27, 2023
Graduate School of Science
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