{"id":176227,"date":"2023-11-18T00:27:51","date_gmt":"2023-11-18T06:27:51","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/11\/lhc-physicists-cant-save-them-all"},"modified":"2023-11-18T00:27:51","modified_gmt":"2023-11-18T06:27:51","slug":"lhc-physicists-cant-save-them-all","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/11\/lhc-physicists-cant-save-them-all","title":{"rendered":"LHC physicists can\u2019t save them all"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/lhc-physicists-cant-save-them-all2.jpg\"><\/a><\/p>\n<p>In 2010, Mike Williams traveled from London to Amsterdam for a physics workshop. Everyone there was abuzz with the possibilities\u2014and possible drawbacks\u2014of machine learning, which Williams had recently proposed incorporating into the LHCb experiment. Williams, now a professor of physics and leader of an experimental group at the Massachusetts Institute of Technology, left the workshop motivated to make it work.<\/p>\n<p>LHCb is one of the four main experiments at the Large Hadron Collider at CERN. Every second, inside the detectors for each of those experiments, proton beams cross 40 million times, generating hundreds of millions of proton collisions, each of which produces an array of particles flying off in different directions. Williams wanted to use machine learning to improve LHCb\u2019s trigger system, a set of decision-making algorithms programmed to recognize and save only collisions that display interesting signals\u2014and discard the rest.<\/p>\n<p>Of the 40 million crossings, or events, that happen each second in the ATLAS and CMS detectors\u2014the two largest particle detectors at the LHC\u2014data from only a few thousand are saved, says Tae Min Hong, an associate professor of physics and astronomy at the University of Pittsburgh and a member of the ATLAS collaboration. \u201cOur job in the trigger system is to never throw away anything that could be important,\u201d he says.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In 2010, Mike Williams traveled from London to Amsterdam for a physics workshop. Everyone there was abuzz with the possibilities\u2014and possible drawbacks\u2014of machine learning, which Williams had recently proposed incorporating into the LHCb experiment. Williams, now a professor of physics and leader of an experimental group at the Massachusetts Institute of Technology, left the workshop [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,48,6],"tags":[],"class_list":["post-176227","post","type-post","status-publish","format-standard","hentry","category-information-science","category-particle-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/176227","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=176227"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/176227\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=176227"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=176227"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=176227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}