Two-camera wavefront estimation with a Gercheberg-Saxton

Authors: Jason Kay, Tyler D. Groff, N. Kasdin

Most mature wavefront-estimation algorithms for high-contrast imaging rely on a-priori knowledge of the deformable mirror (DM) surface and thus are limited by uncertainty in the physics of the DM. In this paper, we review the DM diversity wavefront estimation algorithm and introduce a DM-independent method of wavefront estimation that utilizes two cameras and a Gerchberg-Saxton-based iterative phase retrieval scheme. We compare the two estimation algorithms, and we present the creation of a dark hole in the image plane using the Stroke Minimization correction algorithm and this two-camera estimation.

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