估计理论
泊松分布
瞬态(计算机编程)
计算机科学
统计物理学
生物系统
算法
统计
数学
物理
生物
操作系统
作者
Max Großmann,Sebastian Böhm,Stefan Heyder,Klaus Schwarzburg,Peter Kleinschmidt,Erich Runge,Thomas Hannappel
标识
DOI:10.1002/pssb.202200339
摘要
Time‐resolved photoluminescence (TRPL) measurements and the extraction of meaningful parameters involve four key ingredients: a suitable sample such as a semiconductor double heterostructure, a state‐of‐the‐art measurement setup, a kinetic model appropriate for the description of the sample behavior, and a general analysis method to extract the model parameters of interest from the measured TRPL transients. Until now, the last ingredient is limited to single curve fits, which are mostly based on simple models and least‐squares fits. These are often insufficient for the parameter extraction in real‐world applications. The goal of this article is to give the community a universal method for the analysis of TRPL measurements, which accounts for the Poisson distribution of photon counting events. The method can be used to fit multiple TRPL transients simultaneously using general kinematic models, but should also be used for single transient fits. To demonstrate this approach, multiple TRPL transients of a GaAs/AlGaAs heterostructure are fitted simultaneously using coupled rate equations. It is shown that the simultaneous fits of several TRPL traces supplemented by systematic error estimations allow for a more meaningful and more robust parameter determination. The statistical methods also quantify the quality of the description by the underlying physical model.
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