Generalized phase diversity for wave-front sensing

Heather Dalgarno, Sijiong Zhang, Alan H. Greenaway, Sergio Restaino

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

Phase diversity is a phase-retrieval algorithm that uses a pair of intensity images taken symmetrically about the wave front to be determined. If these images are taken about the system input pupil this is equivalent to a curvature-sensing algorithm. Traditionally a defocus aberration kernel is used to produce the phase-diverse data. We present a generalization of this method to allow the use of other functions as the diversity kernel. We discuss the necessary and sufficient conditions that such a function must satisfy for use in a null wave-front sensor. Computer simulations were used to validate these results. ©2004 Optical Society of America.

Original languageEnglish
Pages (from-to)2707-2709
Number of pages3
JournalOptics Letters
Volume29
Issue number23
DOIs
Publication statusPublished - 1 Dec 2004

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