{"id":13745,"date":"2023-07-06T09:51:20","date_gmt":"2023-07-06T00:51:20","guid":{"rendered":"https:\/\/www.icrr.u-tokyo.ac.jp\/?post_type=event_researcher&#038;p=13745"},"modified":"2023-07-12T15:12:01","modified_gmt":"2023-07-12T06:12:01","slug":"new%e3%80%902023%e5%b9%b47%e6%9c%886%e6%97%a5%e3%80%91machine-learning-for-neutrino-experiments-saul-alonso-monsalve-eth-zurich","status":"publish","type":"event_researcher","link":"https:\/\/www.icrr.u-tokyo.ac.jp\/en\/event_researcher\/13745\/","title":{"rendered":"&#8220;Machine learning for neutrino experiments&#8221; \/ Saul Alonso Monsalve (ETH Zurich)"},"content":{"rendered":"\n<figure class=\"wp-block-table\"><div class=\"js-scrollable\"><table><tbody><tr><td>Nember<\/td><td>R5-5 \/ &nbsp;IPMU\/ILANCE\/ICRR joint seminar<\/td><\/tr><tr><td>Date&amp;Time<\/td><td>July 6, 2023 Thu. 13:30-(JST)<\/td><\/tr><tr><td>Place<\/td><td>IPMU, Seminar A (1F) and Zoom \u00a0<a href=\"https:\/\/ipmu.zoom.us\/j\/92664869669\">https:\/\/ipmu.zoom.us\/j\/92664869669<\/a><\/td><\/tr><tr><td>Speaker<\/td><td>Saul Alonso Monsalve (ETH Zurich)<\/td><\/tr><tr><td>Title<\/td><td>&#8220;Machine learning for neutrino experiments&#8221;<\/td><\/tr><tr><td>Abstract<\/td><td>Deep learning methods are becoming key in analysing some elementary particles of&nbsp;the Standard Model: the neutrinos. Current neutrino experiments are leveraging&nbsp;these techniques, which in combination have exhibited to outperform standard tools&nbsp;in several domains, such as identifying neutrino interactions or reconstructing&nbsp;particle energies. In this seminar, I will show various deep-learning algorithms used in&nbsp;the context of the T2K and DUNE experiments, two cutting-edge international&nbsp;neutrino experiments. I will present how computer vision and methods originally&nbsp;designed for natural language processing can be used for reconstruction tasks,&nbsp;including particle fitting and particle identification. All these methods report&nbsp;promising results and are already integrated (or planned to be) into the&nbsp;reconstruction chain of the experiments.<\/td><\/tr><\/tbody><\/table><\/div><\/figure>\n","protected":false},"featured_media":0,"template":"","tag_year":[],"class_list":["post-13745","event_researcher","type-event_researcher","status-publish","hentry","en-US"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.icrr.u-tokyo.ac.jp\/wp-json\/wp\/v2\/event_researcher\/13745","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.icrr.u-tokyo.ac.jp\/wp-json\/wp\/v2\/event_researcher"}],"about":[{"href":"https:\/\/www.icrr.u-tokyo.ac.jp\/wp-json\/wp\/v2\/types\/event_researcher"}],"wp:attachment":[{"href":"https:\/\/www.icrr.u-tokyo.ac.jp\/wp-json\/wp\/v2\/media?parent=13745"}],"wp:term":[{"taxonomy":"tag_year","embeddable":true,"href":"https:\/\/www.icrr.u-tokyo.ac.jp\/wp-json\/wp\/v2\/tag_year?post=13745"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}