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Simulations and Experimental Verifications of an Algorithm for Radiation Source Mapping and Navigational Path
Long Kiu Chung1, Andrew J E Kent, Margaret A Cooney
1Department of Nuclear Engineering and Radiological Sciences, University of Michigan, 2355 Bonisteel Blvd., Ann Arbor, MI 48104.
Health Physics
|April 21, 2021
Summary
A new algorithm accurately maps radiation sources and Wi-Fi routers using inverse-square law measurements. This versatile method shows high success rates in simulations and real-world tests for efficient source localization.
Area of Science:
- Physics
- Engineering
- Computer Science
Background:
- Accurate mapping and localization of radiation sources are critical in various scientific and industrial fields.
- Existing methods often require extensive data, limiting their practical application.
Purpose of the Study:
- To develop a versatile algorithm for mapping and navigational path generation applicable to point source measurements following an inverse-square characteristic.
- To enhance the efficiency and accuracy of source localization in diverse environments.
Main Methods:
- Development of a novel algorithm utilizing non-linear least squares methods.
- Extensive simulations (40,000) were conducted in a 10 m × 10 m × 10 m 3D space.
- Experimental verification using a radioactive Cesium-137 (137Cs) source and a Wi-Fi router.
Main Results:
- The algorithm achieved over 80% success rate in simulations across various noise levels.
- Experimental results showed 79.3% accuracy within 7 cm × 7 cm for the 137Cs source.
- The Wi-Fi router was localized within 7 m × 7 m in 57.9% of experimental tests.
Conclusions:
- The developed algorithm offers a data-efficient and accurate solution for source localization.
- Demonstrated potential for practical applications including lost source retrieval, decontamination, and infrastructure mapping.
- Further research is needed to address identified failure modes and explore potential improvements.
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