DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jinghwan | ko |
dc.contributor.author | Lim, Kyung Taek | ko |
dc.contributor.author | Ko, Kilyoung | ko |
dc.contributor.author | Ko, Eunbie | ko |
dc.contributor.author | Cho, Gyuseong | ko |
dc.date.accessioned | 2020-01-30T07:20:09Z | - |
dc.date.available | 2020-01-30T07:20:09Z | - |
dc.date.created | 2019-12-31 | - |
dc.date.created | 2019-12-31 | - |
dc.date.created | 2019-12-31 | - |
dc.date.created | 2019-12-31 | - |
dc.date.created | 2019-12-31 | - |
dc.date.created | 2019-12-31 | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | SENSORS, v.20, no.1 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/10203/271920 | - |
dc.description.abstract | Obtaining the in-depth information of radioactive contaminants is crucial for determining the most cost-effective decommissioning strategy. The main limitations of a burial depth analysis lie in the assumptions that foreknowledge of buried radioisotopes present at the site is always available and that only a single radioisotope is present. We present an advanced depth estimation method using Bayesian inference, which does not rely on those assumptions. Thus, we identified low-level radioactive contaminants buried in a substance and then estimated their depths and activities. To evaluate the performance of the proposed method, several spectra were obtained using a 3 × 3 inch hand-held NaI (Tl) detector exposed to Cs-137, Co-60, Na-22, Am-241, Eu-152, and Eu-154 sources (less than 1μCi) that were buried in a sandbox at depths of up to 15 cm. The experimental results showed that this method is capable of correctly detecting not only a single but also multiple radioisotopes that are buried in sand. Furthermore, it can provide a good approximation of the burial depth and activity of the identified sources in terms of the mean and 95% credible interval in a single measurement. Lastly, we demonstrate that the proposed technique is rarely susceptible to short acquisition time and gain-shift effects. | - |
dc.language | English | - |
dc.publisher | MDPI | - |
dc.title | Radioisotope Identification and Nonintrusive Depth Estimation of Localized Low-Level Radioactive Contaminants Using Bayesian Inference | - |
dc.type | Article | - |
dc.identifier.wosid | 000510493100095 | - |
dc.identifier.scopusid | 2-s2.0-85077252437 | - |
dc.type.rims | ART | - |
dc.citation.volume | 20 | - |
dc.citation.issue | 1 | - |
dc.citation.publicationname | SENSORS | - |
dc.identifier.doi | 10.3390/s20010095 | - |
dc.contributor.localauthor | Cho, Gyuseong | - |
dc.contributor.nonIdAuthor | Ko, Eunbie | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | remote depth profiling | - |
dc.subject.keywordAuthor | radioisotope identification | - |
dc.subject.keywordAuthor | Bayesian inference | - |
dc.subject.keywordAuthor | uncertainty estimation | - |
dc.subject.keywordAuthor | gamma spectral analysis | - |
dc.subject.keywordAuthor | low-level radioactive contaminants | - |
dc.subject.keywordAuthor | nuclear decommissioning | - |
dc.subject.keywordAuthor | low-resolution detector | - |
dc.subject.keywordPlus | CO-60 | - |
dc.subject.keywordPlus | CS-137 | - |
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