{"id":11222,"date":"2026-01-28T09:41:37","date_gmt":"2026-01-28T00:41:37","guid":{"rendered":"https:\/\/unit.nifs.ac.jp\/research\/?post_type=news&#038;p=11222"},"modified":"2026-02-02T09:13:56","modified_gmt":"2026-02-02T00:13:56","slug":"news-11215_en","status":"publish","type":"news","link":"https:\/\/unit.nifs.ac.jp\/research\/archives\/news\/news-11215_en","title":{"rendered":"Plasma Quantum Processes seminar &#8220;Machine Learning Based Tungsten Spectroscopy in WEST Tokamak&#8221;"},"content":{"rendered":"\n<p>The Plasma Quantum Process Unit holds seminars to disseminate the research activities of the Unit. This time, Prof. Sadruddin Benkadda, PIIM Laboratory, Aix Marseille University\u2013CNRS, France, will give a lecture titled &#8220;Machine Learning Based Tungsten Spectroscopy in WEST Tokamak\u201d.<\/p>\n\n\n\n<p>We hope many of you will join us.<\/p>\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<br><p><span style=\"color:#0066cc\">\u3010Webpage\u3011<\/span>\u3000<br>\n&nbsp;&nbsp;&nbsp;&nbsp; <a href=\"https:\/\/indico.nifs.ac.jp\/e\/ms10ds-semi-20260130\" target=\"_blank\">https:\/\/indico.nifs.ac.jp\/e\/ms10ds-semi-20260130<\/a><br><br>\n\n\n\n<p><span style=\"color:#0066cc\">\u3010Details\u3011<\/span>\u3000<br>\r\n&nbsp;&nbsp;&nbsp;&nbsp;Title\uff1aMachine Learning Based Tungsten Spectroscopy in WEST Tokamak<br>\r\n&nbsp;&nbsp;&nbsp;&nbsp;Lecturer\uff1a Prof. Sadruddin Benkadda\u3000(PIIM Laboratory, Aix Marseille University\u2013CNRS, France)<br>\r\n&nbsp;&nbsp;&nbsp;&nbsp;Date\uff1aFriday, January 30, 2026: 10:30-11:30 \uff08Hybrid\uff09 <br>\r\n&nbsp;&nbsp;&nbsp;&nbsp;Place\uff1aSeminar Room (Room 501), 5th floor, Research I Building, National Institute for Fusion Science\r\n<br>\r\n&nbsp;&nbsp;&nbsp;&nbsp;\uff0aThe Zoom meeting link is available on the webpage above. <br>\r\n\r\n<br>\n\n\n\n<p><span style=\"color:#0066cc\">\u3010Abstract\u3011<\/span><br> \r\n&nbsp;&nbsp;&nbsp;&nbsp; A machine-learning approach to tungsten spectroscopy analysis is developed using measurements from WEST tokamak plasmas. A Random Forest model is trained to predict the maximum electron temperature, denoted as Te max, from tungsten brightness spectra in the wavelength range 45\u201365 angstroms, measured along a mobile line of sight. The model achieves prediction errors typically below 5 percent over a broad electron temperature range from 0.5 to 4 kilo\u2013electronvolts. Feature-importance analysis identifies both physically meaningful wavelengths and others that, although lacking direct physical interpretability, contribute to improved prediction stability and accuracy. In addition, principal component analysis is performed to investigate the relationship between spectral variance and Te max, revealing that previously unaccounted-for parameters influence the spectral shape. When combined with the wavelength-importance analysis, these results may help inform atomic structure and collisional\u2013radiative models, leading to an improved understanding of tungsten spectral emission.\r\n\r\n<br>\n\n\n\n<br> <p><p><span style=\"color:#0066cc\">\u3010Organizer\u3011<\/span>\u3000<br>\n&nbsp;&nbsp;&nbsp;&nbsp;Moonshot R&amp;D Goal10 &#8220;Backcasting Digital Systems by Super Dimensional State Engineering&#8221; <br> \n&nbsp;&nbsp;&nbsp;&nbsp;MS10DS project: <a href=\"https:\/\/ms10ds.nifs.ac.jp\/\" target=\"_blank\">https:\/\/ms10ds.nifs.ac.jp\/<\/a>\n<\/p>\n&nbsp;&nbsp;&nbsp;&nbsp;Plasma Quantum Processes Unit  <br> \n\n<br> <p><p><span style=\"color:#0066cc\">\u3010Contact\u3011<\/span>\u3000<br>\n&nbsp;&nbsp;&nbsp;&nbsp;Takeo Hoshi (hoshi.takeo (at) nifs.ac.jp)\n<\/p>\n\n\n\n<div style=\"height:0px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"author":5,"featured_media":1505,"menu_order":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"ppma_author":[343],"class_list":["post-11222","news","type-news","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/news\/11222","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/users\/5"}],"version-history":[{"count":3,"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/news\/11222\/revisions"}],"predecessor-version":[{"id":11225,"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/news\/11222\/revisions\/11225"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/media\/1505"}],"wp:attachment":[{"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/media?parent=11222"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/unit.nifs.ac.jp\/research\/wp-json\/wp\/v2\/ppma_author?post=11222"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}