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Performance enhancement of deformable mirror model-based surface reconstruction in shift-rotation absolute testing
Applied Optics
|March 17, 2026
Summary
We developed a new data compression method for deformable mirror (DM) surface reconstruction in shift-rotation absolute testing. This technique improves accuracy and efficiency, overcoming limitations of existing methods.
Area of Science:
- Optical Engineering
- Metrology
- Surface Metrology
Background:
- Deformable mirror (DM) model-based surface reconstruction balances accuracy and efficiency for shift-rotation absolute measurement.
- Existing data reduction techniques in DM algorithms have practical limitations due to computational complexity.
Purpose of the Study:
- To introduce a novel data compression method for DM model-based surface reconstruction.
- To enhance the accuracy and efficiency of shift-rotation absolute testing using DM models.
Main Methods:
- A data compression method based on uniform sampling is proposed.
- The method independently processes differential data from shift-rotation tests.
- This ensures strong constraints on solution variables while achieving data compression.
Main Results:
- Simulations show superior accuracy, efficiency, and robustness compared to existing DM model-based reconstruction algorithms.
- The proposed method demonstrates excellent comprehensive performance.
Conclusions:
- The uniform sampling data compression method effectively assists DM model-based surface reconstruction.
- The approach is feasible and advantageous for shift-rotation absolute testing, confirmed by simulations and experiments.
