Abstract
Acoustic resonance spectroscopy (ARS) is an informative analytical method that yields information about thicknesses and acoustic properties of layers in a multilayer structure representing a high-overtone bulk acoustic wave resonator (HBAR). Since the HBAR spectrum has many resonance features, the development of automatic methods for its processing is an urgent task. In this study, a method for extracting ARS data from a signal distorted by a RF measuring path without additional measurements of reference impedances (calibration) is proposed, which brings the spectrum to a form convenient for automatic processing and significantly expands the range of the ARS application. The method is especially relevant for processing HBAR spectra with a low excitation efficiency. As an example of such processing, the central frequencies and effective widths of more than a thousand resonant peaks are determined and, based on this, the frequency dependence of the acoustic attenuation is established for a new material: optical ceramics based on doped yttrium aluminum garnet nanoparticles.
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This study was supported by the Ministry of Science and Higher Education of the Russian Federation as part of the state assignment.
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Translated by E. Bondareva
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Alekseev, S.G., Luzanov, V.A., Raevsky, A.O. et al. Acoustic Resonance Spectroscopy with an Uncalibrated Microwave Path. Acoust. Phys. 69, 40–47 (2023). https://doi.org/10.1134/S106377102206001X
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DOI: https://doi.org/10.1134/S106377102206001X