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Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices

Visualizing eigenmodes is crucial in understanding the behavior of state-of-the-art micromechanical devices. We demonstrate a method to optically map multiple modes of mechanical structures simultaneously. The fast and robust method, based on a modified phase-lock loop, is demonstrated on a silicon...

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Detalles Bibliográficos
Autores principales: Hoch, David, Haas, Kevin-Jeremy, Moller, Leopold, Sommer, Timo, Soubelet, Pedro, Finley, Jonathan J., Poot, Menno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398287/
https://www.ncbi.nlm.nih.gov/pubmed/34442502
http://dx.doi.org/10.3390/mi12080880
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author Hoch, David
Haas, Kevin-Jeremy
Moller, Leopold
Sommer, Timo
Soubelet, Pedro
Finley, Jonathan J.
Poot, Menno
author_facet Hoch, David
Haas, Kevin-Jeremy
Moller, Leopold
Sommer, Timo
Soubelet, Pedro
Finley, Jonathan J.
Poot, Menno
author_sort Hoch, David
collection PubMed
description Visualizing eigenmodes is crucial in understanding the behavior of state-of-the-art micromechanical devices. We demonstrate a method to optically map multiple modes of mechanical structures simultaneously. The fast and robust method, based on a modified phase-lock loop, is demonstrated on a silicon nitride membrane and shown to outperform three alternative approaches. Line traces and two-dimensional maps of different modes are acquired. The high quality data enables us to determine the weights of individual contributions in superpositions of degenerate modes.
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spelling pubmed-83982872021-08-29 Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices Hoch, David Haas, Kevin-Jeremy Moller, Leopold Sommer, Timo Soubelet, Pedro Finley, Jonathan J. Poot, Menno Micromachines (Basel) Article Visualizing eigenmodes is crucial in understanding the behavior of state-of-the-art micromechanical devices. We demonstrate a method to optically map multiple modes of mechanical structures simultaneously. The fast and robust method, based on a modified phase-lock loop, is demonstrated on a silicon nitride membrane and shown to outperform three alternative approaches. Line traces and two-dimensional maps of different modes are acquired. The high quality data enables us to determine the weights of individual contributions in superpositions of degenerate modes. MDPI 2021-07-27 /pmc/articles/PMC8398287/ /pubmed/34442502 http://dx.doi.org/10.3390/mi12080880 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hoch, David
Haas, Kevin-Jeremy
Moller, Leopold
Sommer, Timo
Soubelet, Pedro
Finley, Jonathan J.
Poot, Menno
Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices
title Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices
title_full Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices
title_fullStr Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices
title_full_unstemmed Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices
title_short Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices
title_sort efficient optomechanical mode-shape mapping of micromechanical devices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398287/
https://www.ncbi.nlm.nih.gov/pubmed/34442502
http://dx.doi.org/10.3390/mi12080880
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