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通过UMAP-HDBSCANAN在液体闪中进行增强的α/β区分

Yifan Tian¹, Haoran Liu², Zhijie Yang²

¹China University of Geosciences, Beijing, 100083, China; National Institute of Metrology, Beijing, 100029, China.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine

|November 3, 2025

概括

这项研究引入了一种改进的α/β (α/β) 区分方法,使用统一多重近似和投影 (UMAP) 和HDBSCAN进行液体闪. 与传统的脉冲形状歧视 (PSD) 相比,这种新的方法提高了事件分离和稳定性.

科学领域:

核物理核物理核物理
数据科学数据科学数据科学
分析化学分析化学

背景情况:

精确的α (α) 和β (β) 事件区分对于放射性同位素分析的液体闪测量至关重要.
传统的脉冲形状歧视 (PSD) 方法在性能和强度方面可能面临局限性.

研究的目的:

开发和验证用于液体闪光计数的增强的α/β区分方法.
使用先进的机器学习技术,提高α/β事件分离的准确性和稳定性.

主要方法:

原始液体闪数据的波形预处理.
使用统一的多重近似和投影 (UMAP) 将维度减少到三个维度,用于特征提取和可视化.
使用基于层次密度的应用与噪音的空间聚类 (HDBSCAN) 对α和β事件的分类.
训练一个随机森林分类器使用HDBSCAN集群标签进行波形特征分析和处理类不平衡.

主要成果:

拟议的UMAP-HDBSCAN方法证明了α/β分离性能的提高.
使用241Am和90Sr/90Y混合源的验证证实与传统PSD相比,优越的歧视.
该方法表现出对输入参数变化的增强稳定性.

结论:

UMAP-HDBSCAN方法在液体闪光测量中的α/β区分方面取得了重大进展.
这种方法为放射性同位素分析提供了更准确,更强大和更通用的工具.

关键词:

集群集成是指集群集成.功能解释功能解释液体闪是一种流体闪.α/β 歧视行为.

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