Monte Carlo determination of detection efficiency for portal monitoring
| dc.contributor.author | Blair, Noah Jeffrey, author | |
| dc.contributor.author | Brandl, Alexander, advisor | |
| dc.contributor.author | Sudowe, Ralf, committee member | |
| dc.contributor.author | Jeckel, Kimberly, committee member | |
| dc.date.accessioned | 2024-05-27T10:31:57Z | |
| dc.date.available | 2024-05-27T10:31:57Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | At ports of entry into the country, at high security events such as political or athletic gatherings of crowds, and at high risk locations, portal monitors are used to detect the presence of ionizing radiation and ensure radiological/nuclear materials do not fall out of regulatory control or are utilized with malicious intent. This work uses computer models to determine the probability of photon radiation being detected in polyvinyl toluene, a plastic scintillator material, for a range of source energies, truck positions relative to the detector, and cargo materials. These results are used to develop models for operators of portal monitors to predict the activity of a radioactive source given the measured count rate and integrated count measurements. A linear model of the detection efficiency produces an analytic expression of the measured count rate given the emission spectrum of a source which allows for calculation of net counts between two points on the truck's trajectory and the time derivative of the count rate. The time derivative of the count rate has a similar characteristic behavior along the truck's trajectory and has the potential to be an indicator of weak radiological sources. A MARS model allows for accurate prediction of the net count rate for truck positions and source energies not directly modeled. These models best predict detection efficiency for higher energy photons and are primarily useful for the prediction of detection of fission and activation products. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Blair_colostate_0053N_18262.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/238393 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | Monte Carlo | |
| dc.subject | portal monitoring | |
| dc.subject | photon | |
| dc.subject | detection efficiency | |
| dc.title | Monte Carlo determination of detection efficiency for portal monitoring | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Environmental and Radiological Health Sciences | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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