{"id":3982,"date":"2024-03-05T01:41:20","date_gmt":"2024-03-04T23:41:20","guid":{"rendered":"https:\/\/nepttp.avidakizomba.co.za\/?p=3982"},"modified":"2025-06-09T12:19:51","modified_gmt":"2025-06-09T10:19:51","slug":"applying-machine-learning-to-gamma-hadron-separation-in-gamma-ray-astronomy","status":"publish","type":"post","link":"https:\/\/www.escience.ac.za\/index.php\/2024\/03\/05\/applying-machine-learning-to-gamma-hadron-separation-in-gamma-ray-astronomy\/","title":{"rendered":"Applying Machine Learning to Gamma-Hadron Separation in Gamma-Ray Astronomy"},"content":{"rendered":"<p><strong>Researcher:<\/strong> Johannah Moepi, University of the Witwatersrand, Johannesburg<br \/><strong>Supervisor:<\/strong> Professor Nukri Komin, University of the Witwatersrand, Johannesburg<\/p><p>With two types of EAS produced, the IACT\u2019s detect both of them including the background events.<br \/>As such the IACT\u2019s requires sophisticated image analysis that can be trained to distinguish gamma rays from the hadrons.<\/p><p><br \/><\/p>","protected":false},"excerpt":{"rendered":"<p>Researcher: Johannah Moepi, University of the Witwatersrand, JohannesburgSupervisor: Professor Nukri Komin, University of the Witwatersrand, Johannesburg With two types of EAS produced, the IACT\u2019s detect both of them including the background events.As such the IACT\u2019s requires sophisticated image analysis that can be trained to distinguish gamma rays<\/p>\n","protected":false},"author":1,"featured_media":4407,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-3982","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-capstone-projects"],"_links":{"self":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3982","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/comments?post=3982"}],"version-history":[{"count":1,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3982\/revisions"}],"predecessor-version":[{"id":4452,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3982\/revisions\/4452"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media\/4407"}],"wp:attachment":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media?parent=3982"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/categories?post=3982"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/tags?post=3982"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}