Optical polarimetric measurement of surface acoustic waves
-
- K. Taga
- Research Center for Advanced Science and Technology (RCAST), The University of Tokyo 1 , Meguro-ku, Tokyo 153-8904, Japan
-
- R. Hisatomi
- Institute for Chemical Research (ICR), Kyoto University 2 , Gokasho, Uji, Kyoto 611-0011, Japan
-
- Y. Ohnuma
- Research Center for Advanced Science and Technology (RCAST), The University of Tokyo 1 , Meguro-ku, Tokyo 153-8904, Japan
-
- R. Sasaki
- RIKEN Center for Quantum Computing (RQC), RIKEN 4 , Wako, Saitama 351-0198, Japan
-
- T. Ono
- Institute for Chemical Research (ICR), Kyoto University 2 , Gokasho, Uji, Kyoto 611-0011, Japan
-
- Y. Nakamura
- Research Center for Advanced Science and Technology (RCAST), The University of Tokyo 1 , Meguro-ku, Tokyo 153-8904, Japan
-
- K. Usami
- Research Center for Advanced Science and Technology (RCAST), The University of Tokyo 1 , Meguro-ku, Tokyo 153-8904, Japan
Description
<jats:p>A surface acoustic wave (SAW) is utilized in diverse fields ranging from physics, engineering, to biology for transducing, sensing, and processing various signals. Optical measurement of the SAW provides valuable information since the amplitude and the phase of the displacement field can be measured locally with the resolution limited by the spot size of the optical beam. So far, optical measurement techniques rely on modulation of the optical path, phase, or diffraction associated with SAWs. Here, we demonstrate that SAWs can be measured with an optical polarimeter. We show that the slope of the periodically tilting surface due to the coherently driven SAW is translated into the angle of polarization rotation, which can be straightforwardly calibrated when polarimeters work in the shot-noise-limited regime. The polarimetric measurement of SAWs is, thus, beneficial for quantitative studies of SAW-based technologies.</jats:p>
Journal
-
- Applied Physics Letters
-
Applied Physics Letters 119 (18), 2021-11-01
AIP Publishing
- Tweet
Details 詳細情報について
-
- CRID
- 1360294643814808320
-
- ISSN
- 10773118
- 00036951
-
- Data Source
-
- Crossref
- KAKEN
- OpenAIRE