2009
DOI: 10.1007/s10762-009-9494-6
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Fast and Accurate Thickness Determination of Unknown Materials using Terahertz Time Domain Spectroscopy

Abstract: We present a fast and accurate time domain based algorithm which extracts simultaneously the thickness and refractive index of highly transparent samples from terahertz time domain spectroscopy data. The utilized transfer function considers the FabryPerot oscillations of the sample and enables to analyze data with multiple reflections. The algorithm can also be applied to signals corrupted by vapor absorption lines. Since the data extraction takes only fractions of a second, this computation method is well sui… Show more

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Cited by 38 publications
(23 citation statements)
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“…6) and the relative amplitude of the reflected signal (Fig. 3), R A , the change in attenuation coefficient, Δα, can be calculated by [25,26]; 78 = 9:…”
Section: Resultsmentioning
confidence: 99%
“…6) and the relative amplitude of the reflected signal (Fig. 3), R A , the change in attenuation coefficient, Δα, can be calculated by [25,26]; 78 = 9:…”
Section: Resultsmentioning
confidence: 99%
“…When minimizing the total variation the sample thickness can be deduced [18]. Other algorithms use multiple echoes of the THz pulse [10] or include the determination of the correct sample thickness in the time-domain [19] and in the frequency-domain [20]. For thin samples, the Fourier transformation of the extracted data into a quasi space enables the determination of the thickness with the smallest oscillations of the extracted optical parameter [21].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, time-domain spectroscopic measurements represent a powerful tool to determine the sample thickness [111,117,118] or even layer thickness in multilayer structures [119]. Moreover, it has been employed to measure the birefringence of materials [120].…”
Section: Data Acquisitionmentioning
confidence: 99%