Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter

The optical trapping of micro-nano particles in a high vacuum has become a popular research platform in various frontier fields of physics because of its excellent isolation from the environment. The precise measurement of particle motion information is required to analyze and control particle motio...

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Bibliographic Details
Published in:Photonics 2022-09, Vol.9 (10), p.700
Main Authors: Xu, Shidong, Chen, Ming, Yang, Jianyu, Chen, Xingfan, Li, Nan, Hu, Huizhu
Format: Article
Language:English
Subjects:
Analysis
axial signal decoupling
Cooling
Coupling
Feedback control systems
feedback cooling
Gravitational waves
Gravity
High vacuum
Information processing
Kalman filter
Kalman filters
Lasers
Microparticles
Nanoparticles
Noise control
Noise measurement
Noise reduction
optical trap
Optical trapping
Optical traps
Optimization
Particle motion
Radiation
Traps
Vacuum
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Summary:The optical trapping of micro-nano particles in a high vacuum has become a popular research platform in various frontier fields of physics because of its excellent isolation from the environment. The precise measurement of particle motion information is required to analyze and control particle motion modes in traps. However, the detection accuracy is limited by measurement noise and coupling signals from other axes in microparticle optical traps. In this study, we use the Kalman filter to extract the real motion information of each axis under simulation conditions, and the results show that the Kalman filter performs well in noise suppression, improving the RMSE from 12.64 to 5.18 nm and enhancing the feedback cooling performance by approximately 27% through reducing the axes’ signal coupling ratio. We believe that as a solution to these challenges, the Kalman filter will bring a significant achievement to micrometer particle optical traps in vacuums.
ISSN:2304-6732
2304-6732
DOI:10.3390/photonics9100700