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THz-TDS time-trace analysis for the extraction of material and metamaterial parameters

Abstract : We report on a method and an associated open source software, Fit@TDS, working on an average personal computer. The method is based on the fitting of a time-trace data of a terahertz time-domain-spectroscopy system enabling the retrieval of the refractive index of a dielectric sample and the resonance parameters of a metasurface (quality factor, absorption losses, etc.). The software includes commonly used methods where the refractive index is extracted from frequency domain data. However, these methods are limited, for instance in case of a high noise level or when an absorption peak saturates the absorption spectrum bringing the signal to the noise level. Our software allows to use a new method where the refractive indices are directly fitted from the time-trace. The idea is to model a material or a metamaterial through parametric physical models (Drude-Lorentz model and time-domain coupled mode theory) and to implement the subsequent refractive index in the propagation model to simulate the time-trace. Then, an optimization algorithm is used to retrieve the parameters of the model corresponding to the studied material/metamaterial. In this paper, we explain the method and test it on fictitious samples to probe the feasibility and reliability of the proposed model. Finally, we used Fit@TDS on real samples of high resistivity silicon, lactose and gold metasurface on quartz to show the capacity of our method
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https://hal.archives-ouvertes.fr/hal-01903521
Contributor : Romain Peretti Connect in order to contact the contributor
Submitted on : Tuesday, January 8, 2019 - 3:40:51 PM
Last modification on : Tuesday, April 5, 2022 - 1:38:02 PM

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Romain Peretti, Sergey Mitryukovskiy, Kevin Froberger, Aniss Mebarki, Sophie Eliet-Barois, et al.. THz-TDS time-trace analysis for the extraction of material and metamaterial parameters. IEEE Transactions on Terahertz Science and Technology, Institute of Electrical and Electronics Engineers, 2018, 9 (2), ⟨10.1109/TTHZ.2018.2889227⟩. ⟨hal-01903521v6⟩

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