| アイテムタイプ |
会議発表用資料 / Presentation(1) |
| 公開日 |
2026-01-08 |
| タイトル |
|
|
タイトル |
Validation of stochastic method on track density analysis for passive radon measurement |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6670 |
|
資源タイプ |
conference poster |
| 著者 |
Hu Jun
Chutima Kranrod
Shinji Tokonami
|
| 抄録 |
|
|
内容記述 |
Passive radon monitors with CR-39s are commonly used in major epidemiological studies. However, the conventional CR-39 track density analysis method makes it difficult to estimate the concentration accurately due to the heterogeneity of tracks on CR-39s and the small track reading area. Track heterogeneity in CR-39 detectors arises from exposure-related and detector-related factors. To improve the accuracy of track density analysis in passive radon monitors, this study implemented a new stochastic approach utilizing Latin Hypercube Sampling (LHS) to compare the performance to the conventional method.Consequently, the root mean square deviation of 0.37 of mean track density using the stochastic method is lower than the conventional method of 0.39. The coefficient of determination of the stochastic method is significantly higher than that of the conventional method in the linear correlation of estimated track density and accumulated exposure. The stochastic method utilizing the LHS for track density analysis decreased the total counting area of CR-39 and performed congruently and effectively as the large counting area using the conventional strategy. These findings suggest the stochastic approach is a promising method for improving track density determination in passive radon measurements with CR-39 detectors. |
| 会議概要（会議名, 開催地, 会期, 主催者等） |
|
|
内容記述 |
第26回「環境放射能」研究会 |
| 発表年月日 |
|
|
日付 |
2025-03-12 |
