Time-Resolved Luminescence: Data Analysis

Abstract

In this chapter we use the analytical equations and models described in the previous chapter, to analyze time-resolved experimental data from several dosimetric materials. We present Python codes for the most common method of analysis of TR-OSL signals, namely using the first order kinetics (FOK-TR) equations to fit both the excitation (LED ON) pulses and the relaxation time periods (LED OFF). We discuss the effects of thermal quenching on the intensity and lifetime of the luminescence signal, and provide Python codes which show how the shape of experimental TL glow curves is distorted by thermal quenching. In addition, the results of the initial rise method are also shown to be affected by the thermal quenching phenomenon. We give a Python example for evaluating the thermal quenching parameters by fitting experimental TR data for quartz, based on the Mott-Seitz mechanism of thermal quenching. We also present Python codes to analyze TR-IRSL signals from feldspars, based on the localized EST model. The chapter concludes with an example of fitting TR-IRSL data measured at elevated stimulation temperatures, by using the sum of stretched exponential and decaying exponential functions.