Image reconstruction of muon tomographic data using a density-based clustering method | Posted on:2016-03-19 | Degree:M.S | Type:Thesis | University:University of Wyoming | Candidate:Perry, Kimberly B | Full Text:PDF | GTID:2478390017982143 | Subject:Electrical engineering | Abstract/Summary: | | Muons are subatomic particles capable of reaching the Earth's surface before decaying. When these particles collide with an object that has a high atomic number (Z), their path of travel changes substantially. Tracking muon movement through shielded containers can indicate what types of materials lie inside. This thesis proposes using a density-based clustering algorithm called OPTICS to perform image reconstructions using muon tomographic data. The results show that this method is capable of detecting high-Z materials quickly, and can also produce detailed reconstructions with large amounts of data. | Keywords/Search Tags: | Muon, Data, Using | | Related items |
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