蒙特卡罗方法
估计员
准确度和精密度
指数函数
航程(航空)
灵敏度(控制系统)
噪音(视频)
统计
算法
计算物理学
数学
物理
计算机科学
材料科学
电子工程
工程类
人工智能
图像(数学)
数学分析
复合材料
作者
C. W. Moore,Sing Po Chan,J. N. Demas,Β. A. DeGraff
标识
DOI:10.1366/000370204774103444
摘要
For evaluating exponential luminescence decays, there are a variety of computational rapid integral methods based on the areas of the decay under different binned intervals. Using both Monte Carlo methods and experimental photon counting data, we compare the standard rapid lifetime determination method (SRLD), optimized rapid lifetime determination methods (ORLD), maximum likelihood estimator method (MLE), and the phase plane method (PPM). The different techniques are compared with respect to precision, accuracy, sensitivity to binning range, and the effect of baseline interference. The MLE provides the best overall precision, but requires 10 bins and is sensitive to very small uncorrected baselines. The ORLD provides nearly as good precision using only two bins and is much more immune to uncompensated baselines. The PPM requires more bins than the MLE and has systematic errors, but is largely resistant to baseline issues. Therefore, depending on the data acquisition method and the number of bins that can be readily employed, the ORLD and MLE are the preferred methods for reasonable signal-to-noise ratios.
科研通智能强力驱动
Strongly Powered by AbleSci AI