论文标题
计算连续照明下主动淬火蜘蛛的统计数据
Counting Statistics of Actively Quenched SPADs Under Continuous Illumination
论文作者
论文摘要
这项工作提出了随机方法，以模拟主动淬火的单光雪崩二极管（SPADS）的计数行为，受到连续波恒定照明的行为。我们提出分析表达式和仿真算法，预测有限时间窗口中检测数量的分布。我们还提出了平均检测率的公式。这些方法涵盖了恢复时间，泵和暮光脉冲。我们通过实验性地将理论预测与使用市售的硅蜘蛛进行比较。他们的总变化距离从$ 10^{ - 5} $到$ 10^{ - 2} $。
This work presents stochastic approaches to model the counting behavior of actively quenched single-photon avalanche diodes (SPADs) subjected to continuous-wave constant illumination. We present both analytical expressions and simulation algorithms predicting the distribution of the number of detections in a finite time window. We also present formulas for the mean detection rate. The approaches cover recovery time, afterpulsing, and twilight pulsing. We experimentally compare the theoretical predictions to measured data using commercially available silicon SPADs. Their total variation distances range from $10^{-5}$ to $10^{-2}$.
