{"id":27011,"date":"2026-09-27T20:02:28","date_gmt":"2026-09-27T18:02:28","guid":{"rendered":"https:\/\/www.itspy.cz\/thesis\/muon-time-of-passage-estimation-for-standalone-mdt-trigger\/"},"modified":"2026-09-27T20:05:06","modified_gmt":"2026-09-27T18:05:06","slug":"muon-time-of-passage-estimation-for-standalone-mdt-trigger","status":"publish","type":"thesis","link":"https:\/\/www.itspy.cz\/en\/thesis\/muon-time-of-passage-estimation-for-standalone-mdt-trigger\/","title":{"rendered":"Muon Time-of-Passage Estimation for Standalone MDT Trigger"},"content":{"rendered":"<p>The Large Hadron Collider (LHC) at CERN uses Monitored<br \/>\nDrift Tube (MDT) chambers to reconstruct muon trajectory<br \/>\nand momentum. As part of a HL-LHC upgrade, raw MDT data<br \/>\nwill be integrated into a new Level-0 muon trigger system<br \/>\nto improve its robustness. The trigger requires accurate<br \/>\nmuon time-of-passage estimation under severe background<br \/>\nnoise while operating within a strict sub-microsecond<br \/>\nbudget on FPGA hardware. This thesis evaluates multiple<br \/>\nmachine learning models for this task, including<br \/>\nconvolutional and graph neural networks, and a novel Line<br \/>\nGraph Neural Network (LGNN). The LGNN reduces computational<br \/>\ncomplexity and enables efficient FPGA implementation. A<br \/>\nhardware-aware hyperparameter optimization pipeline is also<br \/>\ndeveloped to explore design constraints and select models<br \/>\nthat maximize efficiency without compromising predictive<br \/>\nperformance.<\/p>\n","protected":false},"featured_media":26785,"template":"","meta":{"_acf_changed":false,"_links_to":"","_links_to_target":""},"university":[465,426],"thesis-year":[466],"class_list":["post-27011","thesis","type-thesis","status-publish","has-post-thumbnail","hentry","thesis-year-466"],"acf":{"autor":"Marek Be\u010dv\u00e1\u0159","portret":"","vedouci":"RNDr. Franti\u0161ek Mr\u00e1z, CSc."},"_links":{"self":[{"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/thesis\/27011","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/thesis"}],"about":[{"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/types\/thesis"}],"version-history":[{"count":1,"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/thesis\/27011\/revisions"}],"predecessor-version":[{"id":27066,"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/thesis\/27011\/revisions\/27066"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/media\/26785"}],"wp:attachment":[{"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/media?parent=27011"}],"wp:term":[{"taxonomy":"university","embeddable":true,"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/university?post=27011"},{"taxonomy":"thesis-year","embeddable":true,"href":"https:\/\/www.itspy.cz\/en\/wp-json\/wp\/v2\/thesis-year?post=27011"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}