标题： 基于归一化互相关的康普顿边缘自动标定方法 显示英文标题

标题： The Automatic Calibration Method of the Compton Edge Based on Normalized Cross-correlation and Simulated Annealing Algorithm

摘要： 在闪烁探测器中准确的能量通道校准对于核物理、医学成像和环境监测中的可靠辐射检测至关重要。 有机闪烁体如BC408和EJ309缺乏全能量峰，使其康普顿边缘成为传统峰方法失效时的关键校准替代方案。 现有的康普顿边缘识别技术——用于50%-70%幅度点的高斯拟合、一阶导数最小值检测和蒙特卡罗模拟——由于低计数率、光谱重叠和主观区间选择而显著退化。 首次，我们提出了一种基于归一化互相关（NCC）、模拟退火（SA）和卷积响应模型的自动化校准程序，以解决这些问题。 该方法通过基于NCC的匹配自动选择康普顿边缘区间，利用SA进行全局参数优化，然后使用卷积模型进行精确匹配。 对有机闪烁体（BC408、EJ309）和无机闪烁体（NaI:Tl、LaBr3:Ce）使用137Cs、22Na、54Mn和60Co辐射源进行的实验表明，该方法的准确性与全能量峰校准方法相当（余弦相似度>99.999%），并且相比两种传统方法表现出更好的稳定性。 在光谱重叠和低计数率的极端情况下，该方法在BC408中的平均误差分别为两种传统方法的19.77%和15.65%，在EJ309中的平均误差分别为两种传统方法的56.44%和33.15%。 这项工作推进了探测器校准，并为高能实验和便携设备提供了可扩展的自动化解决方案。 显示英文摘要

摘要： Accurate energy channel calibration in scintillation detectors is essential for reliable radiation detection across nuclear physics, medical imaging, and environmental monitoring. Organic scintillators like BC408 and EJ309 lack full-energy peaks, making their Compton edge a critical calibration alternative where traditional peak methods fail. Existing Compton edge identification techniques - Gaussian fitting for the 50%-70% amplitude point, first derivative minimum detection, and Monte Carlo simulation - suffer significant degradation from low count rates, spectral overlap, and subjective interval selection. For the first time, we propose an automated calibration procedure based on Normalized Cross-Correlation (NCC), Simulated Annealing (SA), and a convolutional response model to address these issues. This method automates the selection of the Compton edge interval through NCC-based matching, utilizes SA for global parameter optimization, and then employs a convolutional model for precise matching. Experiments involving the irradiation of organic scintillators (BC408, EJ309) and inorganic scintillators (NaI:Tl, LaBr3:Ce) with 137Cs, 22Na, 54Mn, and 60Co radiation sources demonstrate that this method achieves accuracy commensurate with full-energy peak calibration method (cosine similarity >99.999%) and exhibits superior stability compared to the two traditional methods. In the extreme cases of spectral overlap and low count rate, the average errors of this method are 19.77% and 15.65% of those from the two traditional methods in BC408, 56.44% and 33.15% of those from the two traditional methods in EJ309. This work advances detector calibration and offers a scalable, automated solution for high-energy experiments and portable devices.