为α粒子和γ射线能谱法定制放射性核素库的计算生成
Computational generation of tailored radionuclide libraries for alpha-particle and gamma-ray spectrometry
AI总结：
针对传统放射性核素识别系统中库手动构建耗时易错、难以定制的问题，提出自动生成定制库的计算算法及RecurLib软件架构，通过母核-子核递推关系递归计算核素子集，经多样本验证高效，简化识别并促进未注册核素识别。
摘要：
放射性核素识别是一种放射分析方法，应用于从天体物理学到核医学等利用α粒子或γ射线能谱测定的各科学领域。传统放射性核素识别系统中的放射性核素库以手动方式构建，伴随耗时易错的用户任务，阻碍库定制。本研究提出一种计算算法及其专用软件架构，可自动生成定制放射性核素库。建模母核-子核递推关系以实现放射性核素子集的递归计算，该理论概念被整合到名为RecurLib的开源软件中，并针对4个锕系衰变系列和12种放射性物质（包括铀釉遗产Fiestaware、天然铀和钍源、²²⁶Ra样品及医用放射性核素²²⁵Ac、¹⁷⁷Lu、⁹⁹ᵐTc）验证。所开发算法在数分钟内为所有测试样本生成放射性核素库，证明其在不同场景的效率和适用性。该方法为计算机化放射性核素库生成引入框架，从而简化库驱动的放射性核素识别，促进辐射能谱中未注册放射性核素的光谱识别。
英文摘要：
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.
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