Simplified efficiency calibration methods for scintillation detectors used in nuclear remediation

Our study introduces innovative methods to address waste reduction and enhance resource efficiency in nuclear cleanup processes. We focus on sustainable nuclear technology, aligning with goals for cleaner production and environmental protection. We developed two novel methods, termed “oversimplified” and “simplified,” for easily determining the photopeak efficiency of NaI(Tl) scintillation detectors. These methods, along with a “general” solution method, were validated with calibrated radioactive sources such as 241 Am, 57 Co, 133 Ba, 137 Cs, and 60 Co, and were used to commission a NaI(Tl) scintillation detector system at Chalk River Laboratories (CRL) for nuclear remediation. The system demonstrated high accuracy, making it suitable for screening unstable isotopes at contaminated sites. This screening tool significantly reduces the number of soil samples requiring detailed characterization, thereby lowering operational costs. The NaI(Tl) detector system was calibrated for near-contact geometry, which is commonly used at CRLs. Detection limits were established for this configuration. By improving the efficiency calibration of scintillation detectors, our study advances sustainable nuclear remediation practices, promoting environmental sustainability and cleaner production processes. • The developed “oversimplified” and “simplified” calibration methods enhance the efficiency determination of NaI(Tl) scintillation detectors, contributing to more sustainable nuclear technology and cleaner production practices. These methods are validated with various radioactive sources and align with environmental sustainability goals. • The study demonstrated that the calibrated NaI(Tl) detector system meets all acceptance criteria for near-contact geometry, ensuring reliable screening of radioactive isotopes at contaminated sites. This reduces the amount of radioactive waste requiring detailed characterization, thereby lowering operational costs for nuclear remediation. • The research effectively employs R, a noncommercial and open-source data analysis tool, to analyze data from scintillation detectors. This approach not only reduces software licensing costs but also leverages the extensive verification processes of the broader scientific community, enhancing the reliability and accuracy of nuclear remediation activities.

Authors

Institutions

Publication Details

Journal
Journal of Cleaner Production
Published
2024-10-11
DOI
https://doi.org/10.1016/j.jclepro.2024.143910
Citations
6
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
3.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simplified efficiency calibration methods for scintillation detectors used in nuclear remediation

V. V. Golovko
6 citations
Journal of Cleaner Production
Radiation Detection and Scintillator Technologies
3.65
article

Simplified efficiency calibration methods for scintillation detectors used in nuclear remediation

V. V. Golovko
article en
6 citations

Abstract

Our study introduces innovative methods to address waste reduction and enhance resource efficiency in nuclear cleanup processes. We focus on sustainable nuclear technology, aligning with goals for cleaner production and environmental protection. We developed two novel methods, termed “oversimplified” and “simplified,” for easily determining the photopeak efficiency of NaI(Tl) scintillation detectors. These methods, along with a “general” solution method, were validated with calibrated radioactive sources such as 241 Am, 57 Co, 133 Ba, 137 Cs, and 60 Co, and were used to commission a NaI(Tl) scintillation detector system at Chalk River Laboratories (CRL) for nuclear remediation. The system demonstrated high accuracy, making it suitable for screening unstable isotopes at contaminated sites. This screening tool significantly reduces the number of soil samples requiring detailed characterization, thereby lowering operational costs. The NaI(Tl) detector system was calibrated for near-contact geometry, which is commonly used at CRLs. Detection limits were established for this configuration. By improving the efficiency calibration of scintillation detectors, our study advances sustainable nuclear remediation practices, promoting environmental sustainability and cleaner production processes. • The developed “oversimplified” and “simplified” calibration methods enhance the efficiency determination of NaI(Tl) scintillation detectors, contributing to more sustainable nuclear technology and cleaner production practices. These methods are validated with various radioactive sources and align with environmental sustainability goals. • The study demonstrated that the calibrated NaI(Tl) detector system meets all acceptance criteria for near-contact geometry, ensuring reliable screening of radioactive isotopes at contaminated sites. This reduces the amount of radioactive waste requiring detailed characterization, thereby lowering operational costs for nuclear remediation. • The research effectively employs R, a noncommercial and open-source data analysis tool, to analyze data from scintillation detectors. This approach not only reduces software licensing costs but also leverages the extensive verification processes of the broader scientific community, enhancing the reliability and accuracy of nuclear remediation activities.

Journal of Cleaner ProductionVol. 478
Canadian Nuclear Laboratories (CA)
Affordable and clean energy
Openalex Percentile: Top 7%
Radiation Detection and Scintillator Technologies
3.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.