{"id":30585,"date":"2023-03-01T11:41:02","date_gmt":"2023-03-01T11:41:02","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=30585"},"modified":"2023-03-01T11:41:02","modified_gmt":"2023-03-01T11:41:02","slug":"star-formation-determined-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/star-formation-determined-artificial-intelligence\/30585\/","title":{"rendered":"Star formation determined by Artificial Intelligence\u00a0"},"content":{"rendered":"<h2><span data-contrast=\"auto\">Researchers from the Osaka Metropolitan University Graduate School of Science have used <a href=\"https:\/\/www.innovationnewsnetwork.com\/11-new-space-anomalies-discovered-using-artificial-intelligence\/24175\/\" target=\"_blank\" rel=\"noopener\">Artificial Intelligence (AI)<\/a> to identify areas of star formation. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">A research team led by Dr Shinji Fujita from the Osaka Metropolitan University Graduate School of Science has identified around 140,000 molecular clouds in the Milky Way galaxy, which are areas of star formation.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The team used AI to estimate the distance of each of these molecular clouds. From this, their size and mass were successfully determined, and they were able to accurately map their distribution in more detail than in previous studies. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The work, <\/span><span data-contrast=\"auto\">\u2018<\/span><a href=\"https:\/\/academic.oup.com\/pasj\/article-abstract\/75\/1\/279\/6988000?redirectedFrom=fulltext&amp;login=false\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning: I. Method and Results<\/span><\/a><span data-contrast=\"none\">,\u2019 was published in <\/span><span data-contrast=\"auto\">the <\/span><i><span data-contrast=\"auto\">Publications of the Astronomical Society of Japan.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">How are stars formed? <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Stars are the fundamental building blocks of galaxies, as their age, distribution, and contribution are important to tracing galaxy history and evolution. They are produced within the clouds of dust that are present within most galaxies. As molecular gas and dust merge in space, star formation is enabled.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The molecular gases present during star formation are invisible to the human eye as they are so dilute and cold. However, faint radio waves are emitted by them, allowing them to be observed by radio telescopes.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">It is hard to investigate molecular clouds <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">It is difficult to determine the distance and physical properties of molecular clouds, such as size and mass, as observing these clouds from Earth means that a lot of matter overlaps them.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<figure id=\"attachment_30589\" aria-describedby=\"caption-attachment-30589\" style=\"width: 751px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-30589\" src=\"https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-300x169.png\" alt=\"\" width=\"751\" height=\"423\" srcset=\"https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-300x169.png 300w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-1024x576.png 1024w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-768x432.png 768w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-1536x864.png 1536w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-696x392.png 696w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-1068x601.png 1068w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-100x56.png 100w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-200x113.png 200w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-400x225.png 400w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-800x450.png 800w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png-747x420.png 747w, https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2023\/03\/Low-Res_press_Fijita_1200.png.png 1920w\" sizes=\"(max-width: 751px) 100vw, 751px\" \/><figcaption id=\"caption-attachment-30589\" class=\"wp-caption-text\">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. \u00a9 The National Astronomical Observatory of Japan, Nobeyama Radio Observatory<\/figcaption><\/figure>\n<p><span data-contrast=\"auto\">Even though the Milky Way is the only galaxy close enough to make detailed observations of molecular clouds in the whole Universe, astronomers have previously found it challenging to investigate the physical properties of molecular clouds in a cohesive manner from large-scale observations.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">The team\u2019s research allows for star formation to be closely observed <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">To overcome this problem, the team utilised AI to identify around 140,000 molecular clouds in the Milky Way from large-scale data of carbon monoxide molecules, observed in detail by the Nobeyama 45-m radio telescope.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The researchers successfully mapped their distribution, covering the first quadrant of the Galactic plane, in the most detailed manner to date.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"auto\">The results have the potential to provide a complete distribution map of the Milky Way<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">\u201cThe results not only give a bird&#8217;s eye view of the galaxy but will also help in various studies of star formation,\u201d explained Dr Fujita.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">\u201cIn 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.\u201d<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Areas of star formation in the Milky Way have been successfully identified by researchers through the use of Artificial Intelligence.<\/p>\n","protected":false},"author":18,"featured_media":30588,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[771],"tags":[570,818,3477],"acf":[],"yoast_head":"\n<title>Star formation determined by Artificial Intelligence\u00a0<\/title>\n<meta name=\"description\" content=\"Areas of star formation in the Milky Way have been successfully identified by researchers through the use of Artificial Intelligence.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.innovationnewsnetwork.com\/star-formation-determined-artificial-intelligence\/30585\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" 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