Emulator-based Bayesian inference on non-proportional scintillation models by compton-edge probing.
Emulator-based Bayesian inference on non-proportional scintillation models by compton-edge probing.
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DOI：
10.1038/s41467-023-42574-y
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发表时间：
2023-11-28
影响因子：
16.6
通讯作者：
Mayer, Sabine
中科院分区：
文献类型：
--
作者：
Breitenmoser, David;Cerutti, Francesco;Butterweck, Gernot;Kasprzak, Malgorzata Magdalena;Mayer, Sabine
闪烁体探测器响应建模已成为粒子与核物理、天文学或微物理等各个研究领域的重要工具。然而，由于系统的复杂性和准确的电子响应测量的要求，模型推断和校准仍然是一个挑战。在这里，我们提出康普顿边缘探测无机闪烁体进行非比例闪烁模型（NPSM）的推断。我们使用实验室为基础的伽马射线辐射测量与碘化钠（铊）闪烁体进行贝叶斯推理的NPSM。此外，我们应用机器学习来仿真通过蒙特卡罗模拟获得的检测器响应。我们表明，所提出的方法成功地约束NPSM，从而量化的内在分辨率。此外，使用经过训练的仿真器，我们可以预测作为参数化闪烁机制的函数的谱康普顿边缘动态。所提出的框架提供了一种简单的方法来推断任何无机闪烁体的NPSM，而不需要额外的电子响应测量。闪烁体广泛用于辐射检测，并且在这种应用中需要适当的校准。在这里，作者讨论了贝叶斯推理和机器学习方法结合康普顿边缘探测，可以描述无机闪烁体的非比例闪烁响应。
Scintillator detector response modeling has become an essential tool in various research fields such as particle and nuclear physics, astronomy or geophysics. Yet, due to the system complexity and the requirement for accurate electron response measurements, model inference and calibration remains a challenge. Here, we propose Compton edge probing to perform non-proportional scintillation model (NPSM) inference for inorganic scintillators. We use laboratory-based gamma-ray radiation measurements with a NaI(Tl) scintillator to perform Bayesian inference on a NPSM. Further, we apply machine learning to emulate the detector response obtained by Monte Carlo simulations. We show that the proposed methodology successfully constrains the NPSM and hereby quantifies the intrinsic resolution. Moreover, using the trained emulators, we can predict the spectral Compton edge dynamics as a function of the parameterized scintillation mechanisms. The presented framework offers a simple way to infer NPSMs for any inorganic scintillator without the need for additional electron response measurements. Scintillators are widely used for radiation detection and require proper calibration in such applications. Here the authors discuss a Bayesian inference and machine learning method in combination with the Compton-edge probing that can describe the non-proportional scintillation response of inorganic scintillators.
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影响因子：
44.1
作者：
BEARDEN, JA;BURR, AF
通讯作者：
BURR, AF
影响因子：
1.8
作者：
Beck, Patrick R.;Payne, Stephen A.;Swanberg, Erik L.
通讯作者：
Swanberg, Erik L.
影响因子：
1.9
作者：
Ernst, Oliver G.;Mugler, Antje;Ullmann, Elisabeth
通讯作者：
Ullmann, Elisabeth
DOI：
10.1016/s0168-583x(03)01539-8
发表时间：
2004-01-01
影响因子：
1.3
作者：
Gardner, RP;Sood, A
通讯作者：
Sood, A
影响因子：
3.1
作者：
Ahdida, C.;Bozzato, D.;Widorski, M.
通讯作者：
Widorski, M.