Improved robustness of Hartmann wavefront sensor using a principal component analysis algorithm

Zuojun Tan

doi:10.1117/1.3250291

1 October 2009 Improved robustness of Hartmann wavefront sensor using a principal component analysis algorithm

Zuojun Tan

Author Affiliations +

Optical Engineering, Vol. 48, Issue 10, 103602 (October 2009). https://doi.org/10.1117/1.3250291

Abstract

Shack-Hartmann wavefront sensing is the most widely used technique for the measurement of wavefront distortion in adaptive optics (AO). Assembly errors decrease the accuracy of the Shack-Hartmann wavefront sensor and degrade the quality of the AO system. The slant correction method based on principal component analysis (PCA), which has its origin in the digital graphic discipline, is introduced in an AO system. The slant correction method based on PCA and the results of this method for adaptive optics system are investigated experimentally. The experiment results show that the AO system becomes less sensitive to noise, and no high assembly precision is required with the slant correction based on PCA.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Zuojun Tan "Improved robustness of Hartmann wavefront sensor using a principal component analysis algorithm," Optical Engineering 48(10), 103602 (1 October 2009). https://doi.org/10.1117/1.3250291

Published: 1 October 2009

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