基于模拟器的贝叶斯推理非比例的闪模型通过康普顿边缘探测
David Breitenmoser1,2, Francesco Cerutti3, Gernot Butterweck4
1Department of Radiation Safety and Security, Paul Scherrer Institute (PSI), Forschungsstrasse 111, Villigen PSI, 5232, Switzerland. david.breitenmoser@psi.ch.
Nature communications
|November 27, 2023
概括
本研究介绍了康普顿边缘探测在无机闪器中进行非比例闪模型 (NPSM) 推断. 该方法在没有电子响应测量的情况下准确量化内在分辨率,简化了闪光灯探测器响应建模.
科学领域:
- 物理 物理学 物理
- 材料科学 材料科学 材料科学
背景情况:
- 闪探测器响应建模对于粒子物理学和天文学等领域至关重要.
- 由于系统复杂性和电子响应测量要求,准确的模型推断和校准具有挑战性.
研究的目的:
- 提出在无机闪器中进行非比例闪模型 (NPSM) 推断的康普顿边缘探测.
- 为了简化NPSM推断和内在解决方案量化.
主要方法:
- 使用实验室的马射线辐射测量用一个NaI (Tl) 闪器.
- 在NPSM上执行贝叶斯推理.
- 应用机器学习模拟来自蒙特卡洛模拟的探测器响应.
主要成果:
- 成功地限制了NPSM,量化了内在分辨率.
- 使用训练有素的模拟器预测光谱康普顿边缘动态.
- 在没有电子响应测量的情况下展示了NPSM推断的方法.
结论:
- 康普顿边缘探测框架为无机闪器的NPSM推断提供了一种简化方法.
- 这种方法提高了闪探测器响应建模能力.
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