{"title":"Evaluation of stochastic method on track density analysis for passive radon measurement","authors":"Jun Hu , Chutima Kranrod , Radhia Pradana , Saowarak Musikawan , Yasutaka Omori , Masahiro Hosoda , Satoshi Kodaira , Shinji Tokonami","doi":"10.1016/j.apradiso.2025.111998","DOIUrl":null,"url":null,"abstract":"<div><div>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 stochastic method reduces the root mean square deviation of mean track density by 15.6 % compared to the conventional method. 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.</div></div>","PeriodicalId":8096,"journal":{"name":"Applied Radiation and Isotopes","volume":"225 ","pages":"Article 111998"},"PeriodicalIF":1.6000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Radiation and Isotopes","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0969804325003434","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, INORGANIC & NUCLEAR","Score":null,"Total":0}
引用次数: 0
Abstract
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 stochastic method reduces the root mean square deviation of mean track density by 15.6 % compared to the conventional method. 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.
期刊介绍:
Applied Radiation and Isotopes provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and peaceful application of nuclear, radiation and radionuclide techniques in chemistry, physics, biochemistry, biology, medicine, security, engineering and in the earth, planetary and environmental sciences, all including dosimetry. Nuclear techniques are defined in the broadest sense and both experimental and theoretical papers are welcome. They include the development and use of α- and β-particles, X-rays and γ-rays, neutrons and other nuclear particles and radiations from all sources, including radionuclides, synchrotron sources, cyclotrons and reactors and from the natural environment.
The journal aims to publish papers with significance to an international audience, containing substantial novelty and scientific impact. The Editors reserve the rights to reject, with or without external review, papers that do not meet these criteria.
Papers dealing with radiation processing, i.e., where radiation is used to bring about a biological, chemical or physical change in a material, should be directed to our sister journal Radiation Physics and Chemistry.