{"title":"In-situ estimation of gamma-ray source location at a specific depth based on a coded-aperture gamma camera","authors":"Dukwoo Kim, Manhee Jeong","doi":"10.1016/j.net.2025.103483","DOIUrl":null,"url":null,"abstract":"<div><div>The coded-aperture gamma imager, EPSILON-G, was employed to swiftly identify gamma-ray sources in-situ. EPSILON-G is a device that gathers data using a detector module that integrates a GAGG(Ce) scintillator with a SiPM array and accurately locates gamma-ray sources through image reconstruction. To confirm its imaging capability and performance in-situ, the minimum count rate for imaging (MCI) was determined using MCNPX-PoliMi code simulations. Using the MCI, the minimum detectable activity (MDA) was calculated as representing the concentration at which surface radioactivity can be feasibly reconstructed in-situ. Additionally, a depth estimation method utilizing dual image acquisition was developed to identify radioactive materials at specific surface depths during radiological emergencies. This depth estimation method was theoretically proposed and validated through experiments with a<sup>137</sup>Cs gamma-ray source. The MDA satisfying the MCI for soil standards was 3.663 Bq/g. In-situ depth estimation experiments using a sandbox enabled the depth to be estimated up to 24.9 ± 2.3 cm with the <sup>137</sup>Cs (3.5 MBq) source.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"57 7","pages":"Article 103483"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Engineering and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1738573325000518","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The coded-aperture gamma imager, EPSILON-G, was employed to swiftly identify gamma-ray sources in-situ. EPSILON-G is a device that gathers data using a detector module that integrates a GAGG(Ce) scintillator with a SiPM array and accurately locates gamma-ray sources through image reconstruction. To confirm its imaging capability and performance in-situ, the minimum count rate for imaging (MCI) was determined using MCNPX-PoliMi code simulations. Using the MCI, the minimum detectable activity (MDA) was calculated as representing the concentration at which surface radioactivity can be feasibly reconstructed in-situ. Additionally, a depth estimation method utilizing dual image acquisition was developed to identify radioactive materials at specific surface depths during radiological emergencies. This depth estimation method was theoretically proposed and validated through experiments with a137Cs gamma-ray source. The MDA satisfying the MCI for soil standards was 3.663 Bq/g. In-situ depth estimation experiments using a sandbox enabled the depth to be estimated up to 24.9 ± 2.3 cm with the 137Cs (3.5 MBq) source.
期刊介绍:
Nuclear Engineering and Technology (NET), an international journal of the Korean Nuclear Society (KNS), publishes peer-reviewed papers on original research, ideas and developments in all areas of the field of nuclear science and technology. NET bimonthly publishes original articles, reviews, and technical notes. The journal is listed in the Science Citation Index Expanded (SCIE) of Thomson Reuters.
NET covers all fields for peaceful utilization of nuclear energy and radiation as follows:
1) Reactor Physics
2) Thermal Hydraulics
3) Nuclear Safety
4) Nuclear I&C
5) Nuclear Physics, Fusion, and Laser Technology
6) Nuclear Fuel Cycle and Radioactive Waste Management
7) Nuclear Fuel and Reactor Materials
8) Radiation Application
9) Radiation Protection
10) Nuclear Structural Analysis and Plant Management & Maintenance
11) Nuclear Policy, Economics, and Human Resource Development