Computational Analysis of Radiation Dosimetry Data
dc.contributor.author | Thiesen, Jack | |
dc.contributor.author | Hepker, Jeremy | |
dc.contributor.author | Pombier, Keegan | |
dc.contributor.author | Yu, Wenjin | |
dc.date.accessioned | 2021-07-16T13:45:50Z | |
dc.date.available | 2021-07-16T13:45:50Z | |
dc.date.issued | 2021-05-03 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/168401 | en |
dc.description | 2021 Pamela J. Mackintosh Undergraduate Research Awards, Team Award | en_US |
dc.description.abstract | When appropriately analyzed, thermoluminescent dosimeter glow curve analysis allows for improved quantification of thermoluminescent material behavior while flagging abnormalities. The mathematical separation of a glow curve into contributions from energetically unique trap states, or glow curve analysis, may be used to remove undesired effects of signal fading for complex materials. A generalized glow curve analysis software for the separation of glow curves is presented in this paper. Written in C++, the software uses the first-order kinetics model with automatic peak identification. The automatic identification of peaks is achieved through a unique peak-finding algorithm. The program was performance tested using experimental glow curve data from LiF:Mg,Ti, and comparative results are presented. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Health Physics Society | en_US |
dc.relation.ispartofseries | Health Phys. 120(00):000–000; 2021 | en_US |
dc.subject | analysis, statistical | en_US |
dc.subject | dosimetry, thermoluminescent | en_US |
dc.subject | kinetics | en_US |
dc.subject | quality assurance | en_US |
dc.title | Computational Analysis of Radiation Dosimetry Data | en_US |
dc.type | Conference Paper | en_US |
dc.subject.hlbsecondlevel | Information Sciences | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Students | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/168401/1/PaperManuscriptwithAuthorQueries.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/168401/2/Poster_ERS2021.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/1680 | |
dc.description.filedescription | Description of PaperManuscriptwithAuthorQueries.pdf : Main article | |
dc.description.filedescription | Description of Poster_ERS2021.pdf : Poster | |
dc.description.depositor | SELF | en_US |
dc.working.doi | 10.7302/1680 | en_US |
dc.owningcollname | Pamela J. MacKintosh Undergraduate Research Awards |
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