{"id":444,"date":"2021-11-22T13:39:01","date_gmt":"2021-11-22T12:39:01","guid":{"rendered":"https:\/\/blogg.lnu.se\/disa\/?p=444"},"modified":"2021-11-22T13:39:01","modified_gmt":"2021-11-22T12:39:01","slug":"disa-seminar-december-6th-machine-learning-for-astroparticle-physics","status":"publish","type":"post","link":"https:\/\/blogg.lnu.se\/disa\/?p=444","title":{"rendered":"DISA Seminar December 6th: Machine Learning for Astroparticle Physics"},"content":{"rendered":"<ul>\n<li>When? December 6th, 2021 at 12-13<\/li>\n<li>Where? Online, links will be sent to those registered<\/li>\n<li>Registration via <a href=\"https:\/\/forms.gle\/rKTXw3r6xmBhHGgw7\">https:\/\/forms.gle\/rKTXw3r6xmBhHGgw7\u00a0<\/a><\/li>\n<\/ul>\n<p>Astroparticle physics is a sub-branch of Physics dealing with the detection of gamma-rays, neutrinos, gravitational waves and cosmic rays from the Universe. In this seminar, we will focus on the field of extragalactic gamma-ray astronomy.<\/p>\n<p>The two main types of datasets in the field are those produced via simulations and those acquired via detector equipments (&#8220;real&#8221;), leading to a large amount of data to be calibrated, prepared, filtered, reconstructed and analysed. Simulations are especially needed in order to understand the sensitivity of the given equipment to a given searched physics &#8220;signal&#8221; and to prepare the data analysis procedure before looking at the real data. Decades of experience in data analysis in the field lead to the ability to publish solid results.<\/p>\n<p>In this context, machine learning is giving a big boost in speeding up the data analysis procedures. The first successful applications of supervised Machine Learning in the field date back to the years 2010-2013 and concern classification and regression methods. Nowadays, there is a huge effort to exploit Deep Learning methods to achieve faster simulations and to improve the current data analysis methods, where physicists cannot &#8220;see&#8221; or &#8220;predict&#8221; any significant features describing the datasets.<\/p>\n<p>I will present the current activities and future challenges of my research groups at Linnaeus University and at the University of Paris and, more generally, the challenges of the field.<\/p>\n<p><u>Keywords<\/u>: gamma-ray astronomy, supervised machine learning, event classification, feature regression<\/p>\n<p><u>Papers<\/u>:<\/p>\n<ol>\n<li><u><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0927650511000673\">Y. Becherini et al., 2011 (Astrop. Phys., Vol 34, 12, 2011, 858-870)<\/a><\/u><\/li>\n<li><u><a href=\"https:\/\/aip.scitation.org\/doi\/abs\/10.1063\/1.4772366\">Y. Becherini et al., 2012 (Gamma 2012)<\/a><\/u><\/li>\n<li><u><a href=\"https:\/\/arxiv.org\/abs\/1211.5997\">Y. Becherini et al., 2012 (arXiv:1211.5997)\u00a0<\/a><\/u><\/li>\n<li><a href=\"https:\/\/iopscience.iop.org\/article\/10.1088\/1748-0221\/16\/07\/P07050\/meta, https:\/\/arxiv.org\/abs\/2105.06728\"><u>M. Senniappan et al<\/u><\/a><\/li>\n<li><u><a href=\"https:\/\/pos.sissa.it\/395\/758\/pdf\">T. Bylund et al.,\u00a0<\/a><\/u><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>When? December 6th, 2021 at 12-13 Where? Online, links will be sent to those registered Registration via https:\/\/forms.gle\/rKTXw3r6xmBhHGgw7\u00a0 Astroparticle physics is a sub-branch of Physics dealing with the detection of gamma-rays, neutrinos, gravitational waves and cosmic rays from the Universe. In this seminar, we will focus on the field of extragalactic gamma-ray astronomy. The two [&hellip;]<\/p>\n","protected":false},"author":401,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27501,459],"tags":[],"class_list":["post-444","post","type-post","status-publish","format-standard","hentry","category-astrophysics","category-events"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>DISA Seminar December 6th: Machine Learning for Astroparticle Physics - DISA<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/blogg.lnu.se\/disa\/?p=444\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"DISA Seminar December 6th: Machine Learning for Astroparticle Physics - DISA\" \/>\r\n<meta property=\"og:description\" content=\"When? December 6th, 2021 at 12-13 Where? Online, links will be sent to those registered Registration via https:\/\/forms.gle\/rKTXw3r6xmBhHGgw7\u00a0 Astroparticle physics is a sub-branch of Physics dealing with the detection of gamma-rays, neutrinos, gravitational waves and cosmic rays from the Universe. In this seminar, we will focus on the field of extragalactic gamma-ray astronomy. 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December 6th, 2021 at 12-13 Where? Online, links will be sent to those registered Registration via https:\/\/forms.gle\/rKTXw3r6xmBhHGgw7\u00a0 Astroparticle physics is a sub-branch of Physics dealing with the detection of gamma-rays, neutrinos, gravitational waves and cosmic rays from the Universe. In this seminar, we will focus on the field of extragalactic gamma-ray astronomy. 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