论文标题
量子目标检测中的多元歧视
Multivariate Discrimination in Quantum Target Detection
论文作者
论文摘要
我们描述了一种可能性比率的简单多元技术，以改善对多维量子目标检测中信号和背景的区分。该技术结合了从自发参数下转换源的光子对的两个自变量，时间差和求和能，成为最佳判别。与以前的技术相比，在实验数据和蒙特卡洛建模中研究了判别性能。随着新型探测器的可用，我们期望这种多元分析在多维量子光学器件中变得越来越重要。
We describe a simple multivariate technique of likelihood ratios for improved discrimination of signal and background in multi-dimensional quantum target detection. The technique combines two independent variables, time difference and summed energy, of a photon pair from the spontaneous parametric down-conversion source into an optimal discriminant. The discriminant performance was studied in experimental data and in Monte-Carlo modelling with clear improvement shown compared to previous techniques. As novel detectors become available, we expect this type of multivariate analysis to become increasingly important in multi-dimensional quantum optics.
