Use of a neural network to control an adaptive optics system for an astronomical telescope

Physics – Optics

Scientific paper

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Adaptive Optics, Neural Nets, Seeing (Astronomy), Telescopes, Atmospheric Turbulence, Point Spread Functions, Reference Stars, Wave Front Reconstruction

Scientific paper

A neural network has been applied to measure optical phase distortion induced by atmospheric turbulence in images of Vega obtained with the 1.5 m single-mirror telescope at the Starfire Optical Range near Albuquerque. The experimental results agree well with phase reconstructions obtained simultaneously with a conventional wave-front sensor.

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