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Proceedings Paper

Experimental results on using artificial neural networks for accurate centroiding in Shack-Hartmann wavefront sensors with elongated spots
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Paper Abstract

We introduced the use of Artificial Neural Networks (ANN) for centroiding in Shack-Hartmann wavefront sensors in the presence of elongated spots, as it will occur in Extremely Large Telescopes. We showed in simulation that ANNs can outperform existing techniques, such as the Matched Filter. The main advantage of our technique is its ability to cope with changing conditions, as real atmospheric turbulence behaves. Here we present experimental results from the laboratory that confirm the findings in our original article, while at the same time they are useful to refine the ANN-based techniques.

Paper Details

Date Published: 27 July 2016
PDF: 8 pages
Proc. SPIE 9909, Adaptive Optics Systems V, 99093Y (27 July 2016); doi: 10.1117/12.2233039
Show Author Affiliations
Amokrane Berdja, Pontificia Univ. Católica de Chile (Chile)
Eduardo Garcés Santibañez, Pontificia Univ. Católica de Chile (Chile)
Christian Dani Guzmán, Pontificia Univ. Católica de Chile (Chile)


Published in SPIE Proceedings Vol. 9909:
Adaptive Optics Systems V
Enrico Marchetti; Laird M. Close; Jean-Pierre Véran, Editor(s)

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