Genetic Algorithm Phase Retrieval for the Systematic Image-Based Optical Alignment Test Bed

Details Genetic Algorithm Phase Retrieval for the Systematic Image-Based Optical Alignment Test Bed Genetic Algorithm Phase Retrieval for the Systematic Image-Based Optical Alignment Test Bed

Feb 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006pasp..118..319t&link_type=abstract

The Publications of the Astronomical Society of the Pacific, Volume 118, Issue 840, pp. 319-323.

Physics

Optics

Instrumentation: Adaptive Optics, Methods: Data Analysis, Techniques: Image Processing, Telescopes

Scientific paper

A real-valued genetic algorithm with random rank-based selection is shown to successfully estimate the multiple phases of a segmented optical system modeled on the seven-mirror Systematic Image-Based Optical Alignment test bed located at NASA's Marshall Space Flight Center. Comparisons are made between this and more traditional phase-retrieval methods. No significant increase in computational speed is observed using the genetic algorithm technique.

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