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Spatial-Dependent Spectral Response of Acousto-Optic Tunable Filters with Inhomogeneous Acoustic Distribution.
Shujing Sun1,2, Huijie Zhao1,2,3,4, Qi Guo1,2,4
1School of Instrumentation and Opto-Electronic Engineering, Beihang University, Beijing 100191, China.
Materials (Basel, Switzerland)
|September 28, 2024
Summary
A new analytical model accurately predicts the spatial-dependent spectral response of acousto-optic tunable filters (AOTFs) under non-uniform acoustic fields. This research is vital for calibrating AOTF-based spectral imaging systems.
Area of Science:
- Optics and Photonics
- Acousto-Optics
- Spectral Imaging
Background:
- The spectral response of acousto-optic tunable filters (AOTFs) is critical for spectral imaging systems.
- Ideal models assume uniform acoustic fields, simplifying spectral response calculations.
- Non-uniform acoustic fields in real-world AOTFs cause spatial variations in spectral response.
Purpose of the Study:
- To develop an analytical model for calculating the spatial-dependent spectral response of AOTFs.
- To investigate the impact of non-uniform acoustic fields on AOTF spectral characteristics.
- To provide a computational model for calibrating AOTF-based spectral imaging systems.
Main Methods:
- Development of an analytical model to compute spatial-dependent spectral response.
- Simulation of acoustic field distribution and its effect on diffracted light amplitude.
- Experimental validation using AOTF frequency scanning experiments.
Main Results:
- The proposed model accurately calculates the spatial-dependent spectral response of AOTFs.
- Non-uniform acoustic field distribution leads to spatially varying spectral responses.
- The study quantifies the variation pattern of diffracted light amplitude due to acoustic inhomogeneity.
Conclusions:
- Acoustic field distribution significantly impacts the spatial-spectral response of AOTFs.
- The developed computational model offers crucial data for calibrating AOTF systems.
- This work enhances the precision and reliability of AOTF-based spectral imaging.
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