Computational generation of tailored radionuclide libraries for alpha-particle and gamma-ray spectrometry
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866929606878035968 |
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| author | Jang, Jaewoong |
| author_facet | Jang, Jaewoong |
| contents | Radionuclide identification is a radioanalytical method employed in various scientific disciplines that utilize alpha-particle or gamma-ray spectrometric assays, ranging from astrophysics to nuclear medicine. Radionuclide libraries in conventional radionuclide identification systems are crafted in a manual fashion, accompanying labor-intensive and error-prone user tasks and hindering library customization. This research presents a computational algorithm and the architecture of its dedicated software that can automatically generate tailored radionuclide libraries. Progenitor-progeny recurrence relations were modeled to enable recursive computation of radionuclide subsets. This theoretical concept was incorporated into open-source software called RecurLib and validated against four actinide decay series and twelve radioactive substances, including a uranium-glazed legacy Fiestaware, natural uranium and thorium sources, a $^{226}$Ra sample, and the medical radionuclides $^{225}$Ac, $^{177}$Lu, and $^{99\text{m}}$Tc. The developed algorithm yielded radionuclide libraries for all the tested specimens within minutes, demonstrating its efficiency and applicability across diverse scenarios. The proposed approach introduces a framework for computerized radionuclide library generation, thereby trivializing library-driven radionuclide identification and facilitating the spectral recognition of unregistered radionuclides in radiation spectrometry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_09560 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Computational generation of tailored radionuclide libraries for alpha-particle and gamma-ray spectrometry Jang, Jaewoong Computational Engineering, Finance, and Science Instrumentation and Methods for Astrophysics Nuclear Experiment Instrumentation and Detectors Radionuclide identification is a radioanalytical method employed in various scientific disciplines that utilize alpha-particle or gamma-ray spectrometric assays, ranging from astrophysics to nuclear medicine. Radionuclide libraries in conventional radionuclide identification systems are crafted in a manual fashion, accompanying labor-intensive and error-prone user tasks and hindering library customization. This research presents a computational algorithm and the architecture of its dedicated software that can automatically generate tailored radionuclide libraries. Progenitor-progeny recurrence relations were modeled to enable recursive computation of radionuclide subsets. This theoretical concept was incorporated into open-source software called RecurLib and validated against four actinide decay series and twelve radioactive substances, including a uranium-glazed legacy Fiestaware, natural uranium and thorium sources, a $^{226}$Ra sample, and the medical radionuclides $^{225}$Ac, $^{177}$Lu, and $^{99\text{m}}$Tc. The developed algorithm yielded radionuclide libraries for all the tested specimens within minutes, demonstrating its efficiency and applicability across diverse scenarios. The proposed approach introduces a framework for computerized radionuclide library generation, thereby trivializing library-driven radionuclide identification and facilitating the spectral recognition of unregistered radionuclides in radiation spectrometry. |
| title | Computational generation of tailored radionuclide libraries for alpha-particle and gamma-ray spectrometry |
| topic | Computational Engineering, Finance, and Science Instrumentation and Methods for Astrophysics Nuclear Experiment Instrumentation and Detectors |
| url | https://arxiv.org/abs/2406.09560 |