Show simple item record

Computational Analysis of Radiation Dosimetry Data

dc.contributor.authorThiesen, Jack
dc.contributor.authorHepker, Jeremy
dc.contributor.authorPombier, Keegan
dc.contributor.authorYu, Wenjin
dc.date.accessioned2021-07-16T13:45:50Z
dc.date.available2021-07-16T13:45:50Z
dc.date.issued2021-05-03
dc.identifier.urihttps://hdl.handle.net/2027.42/168401en
dc.description2021 Pamela J. Mackintosh Undergraduate Research Awards, Team Awarden_US
dc.description.abstractWhen 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.isoen_USen_US
dc.publisherHealth Physics Societyen_US
dc.relation.ispartofseriesHealth Phys. 120(00):000–000; 2021en_US
dc.subjectanalysis, statisticalen_US
dc.subjectdosimetry, thermoluminescenten_US
dc.subjectkineticsen_US
dc.subjectquality assuranceen_US
dc.titleComputational Analysis of Radiation Dosimetry Dataen_US
dc.typeConference Paperen_US
dc.subject.hlbsecondlevelInformation Sciences
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumStudentsen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/168401/1/PaperManuscriptwithAuthorQueries.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/168401/2/Poster_ERS2021.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/1680
dc.description.filedescriptionDescription of PaperManuscriptwithAuthorQueries.pdf : Main article
dc.description.filedescriptionDescription of Poster_ERS2021.pdf : Poster
dc.description.depositorSELFen_US
dc.working.doi10.7302/1680en_US
dc.owningcollnamePamela J. MacKintosh Undergraduate Research Awards


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.