Measurement of layer thicknesses with an improved optimization method for depolarizing Mueller matrices
Autor: | Matthias Wurm, Sven Teichert, Tobias Grunewald, Johanna Reck, Bernd Bodermann, Uwe Richter |
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Rok vydání: | 2020 |
Předmět: |
Materials science
business.industry Applied Mathematics 01 natural sciences Metrology 010309 optics Bayesian statistics Optics Bayesian information criterion Ellipsometry 0103 physical sciences Calibration Mueller calculus Likelihood function Reflectometry business Instrumentation Engineering (miscellaneous) |
Zdroj: | Measurement Science and Technology. 31:115010 |
ISSN: | 1361-6501 0957-0233 |
Popis: | There are some commonly-used optimization techniques for the analysis of measured data in spectroscopic Mueller matrix ellipsometry (MME) used, for example, to calculate the layer thicknesses of samples under test. Concentrating on the metrological aspects of MME, we identified a non-optimal treatment of depolarization in all these techniques. We therefore recently developed an improved optimization method to adequately take depolarization in MME into account. In a further step, we also included statistical measurement noise and derived a likelihood function, which enabled us to apply both the maximum likelihood method and Bayesian statistics as well as the Bayesian information criterion for data evaluation. In this paper we concentrate on the application of this new method to measurements of SiO2-layer thicknesses on silicon. With a state-of-the-art SENTECH SENresearch 4.0 Mueller ellipsometer, we measured standard samples of different SiO2-layer thicknesses, whose calibrated thicknesses were between about 6 nm and 1000 nm. The MME results were compared to the calibration data. For all samples, an SiO2-SiO double-layer model turned out to be optimal. The measured total oxide layer thicknesses matched excellently with the calibration values, within the estimated range of uncertainties. All the results are presented here. This is the first comparison with traceable reference measurements demonstrating the validity of our novel MME analysis method. |
Databáze: | OpenAIRE |
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