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In this work, we develop a novel machine learning based model which operates a CNN and a support vector machine in tandem to perform this reconstruction. A primary application of our method is shown on simulated CRES signals which mimic those of the Project 8 experiment\u2014a novel effort to extract the unknown absolute neutrino mass value from a precise measurement of tritium <jats:italic>\u03b2<\/jats:italic>\n                  <jats:sup>\u2212<\/jats:sup>-decay energy spectrum. When compared to a point-clustering based technique used as a baseline, we show a relative gain of 24.1% in event reconstruction efficiency and comparable performance in accuracy of track parameter reconstruction.<\/jats:p>","DOI":"10.1088\/2632-2153\/ad3ee3","type":"journal-article","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T22:43:45Z","timestamp":1713221025000},"page":"025026","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Deep learning based event reconstruction for cyclotron radiation emission spectroscopy"],"prefix":"10.1088","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4295-9570","authenticated-orcid":false,"given":"A","family":"Ashtari 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