Optimization of random phase diversity for adaptive optics using an LCoS spatial light modulator

Akira Eguchi, John Brewer, Thomas D Milster

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Phase retrieval is an attractive approach for sensor-less adaptive optics (AO) because of its relatively simple implementation. Recently, random phase diversity has shown fast convergence for phase retrieval algorithms. In this study, design optimization using random phase diversity is discussed with respect to a sensor-less AO system using a liquid-crystal-on-silicon (LCoS) spatial light modulator. The extrinsic phase disturbances studied are due to Kolmogorov turbulence. Simulation analysis shows that the size of super-pixel segments of the random phase patterns on the LCoS and the cropped image area of the phasorgrams are determined by Fried’s parameter for high-Strehl-ratio and low-iteration-number reconstruction. AO experiments with an LCoS spatial light modulator confirm the simulation results.

Original languageEnglish (US)
Pages (from-to)6834-6840
Number of pages7
JournalApplied optics
Volume58
Issue number25
DOIs
StatePublished - Sep 1 2019

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Adaptive optics
light modulators
adaptive optics
Liquid crystals
liquid crystals
Silicon
optimization
retrieval
silicon
sensors
Sensors
design optimization
iteration
Turbulence
disturbances
simulation
Pixels
turbulence
pixels
Spatial light modulators

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

Cite this

Optimization of random phase diversity for adaptive optics using an LCoS spatial light modulator. / Eguchi, Akira; Brewer, John; Milster, Thomas D.

In: Applied optics, Vol. 58, No. 25, 01.09.2019, p. 6834-6840.

Research output: Contribution to journalArticle

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