Experimental study on measurement of aspheric surface shape with complementary annular subaperture interferometric
Optics Express
|June 25, 2009
Summary
This study experimentally validates an annular subaperture reconstruction algorithm for parabolic mirrors. The complementary annular subaperture interferometric method shows good agreement with classical auto-collimation, enabling accurate testing of large aspheric mirrors.
Area of Science:
- Optical metrology
- Surface characterization
- Interferometry
Background:
- Annular subaperture reconstruction algorithms offer potential for testing complex optical surfaces.
- Previous work established a Zernike annular polynomial and matrix-based algorithm.
- Experimental validation is crucial for practical application.
Purpose of the Study:
- To experimentally demonstrate and validate a previously developed annular subaperture reconstruction algorithm.
- To compare the accuracy of the annular subaperture method with a classical auto-collimation technique.
- To explore the algorithm's limitations and potential for characterizing higher spatial frequencies.
Main Methods:
- Complementary annular subaperture interferometry was employed to test a parabolic mirror.
- The experimental results were compared against measurements obtained using the classical auto-collimation method.
- Analysis involved characterizing measurement data using finite Zernike coefficients.
Main Results:
- The annular subaperture method demonstrated good agreement with the auto-collimation measurement results.
- The study identified limitations related to finite Zernike coefficients for data characterization.
- The possibility of characterizing higher spatial frequencies with sufficient Zernike coefficients was shown.
Conclusions:
- The complementary annular subaperture interferometric method provides accurate surface shape measurements for parabolic mirrors.
- The algorithm shows promise for extension to testing large concave aspheric mirrors with acceptable accuracy.
- Further refinement of Zernike coefficient utilization can enhance the characterization of spatial frequencies.

