Phase diversity is a powerful methodology technique for measuring the wavefront aberrations of optical systems andsurfaces by solving an unconstrained optimization problem from multiple images whose pupil phases differ from oneanother by a known amount. However, it often fails for large wavefront aberrations. A modified phase diversitytechnique to improve the sensing dynamic range was proposed. We conducted computer simulations of thereconstruction of large aberrations of an optical system with the proposed phase diversity method. We fitted thewavefront to Zernike polynomials to reduce the number of variables. The limited-memoryBroyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm was used for optimizing process. The study shows that themethod can extend the dynamic range from about 2λ to about 11λ and the paper gives practical guidelines for theapplication of phase diversity methods to characterize large wavefront aberrations.
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