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Phase retrieval and reconstruction of coherent synthesis by genetic algorithm
Phase retrieval and reconstruction of coherent synthesis by genetic algorithm
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Phase retrieval and reconstruction of coherent synthesis by genetic algorithm
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Phase retrieval and reconstruction of coherent synthesis by genetic algorithm
Phase retrieval and reconstruction of coherent synthesis by genetic algorithm

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Phase retrieval and reconstruction of coherent synthesis by genetic algorithm
Phase retrieval and reconstruction of coherent synthesis by genetic algorithm
Journal Article

Phase retrieval and reconstruction of coherent synthesis by genetic algorithm

2022
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Overview
In the context of diffractive optics, phase retrieval is a heavily investigated process of recreating an entire complex electric field from partial amplitude-only information through iterative algorithms. However, existing methods can fall into local minima during reconstructions or struggle to recover unusual and novel electric field distributions. We present a numerical method based on a global-optimization genetic algorithm that reconstructs non-trivial electric field distributions from single diffracted intensity distributions. Diffraction and propagation of the optical fields over arbitrary distances is modeled through implementation of the angular spectrum technique. Additionally, a coherently-locked laser array system is used as an experimental case-study demonstrating 0.09 π phase reconstruction accuracy of initial laser parameters from single intensity images.