Optimized centroid computing in a Shack-Hartmann sensor

Details Optimized centroid computing in a Shack-Hartmann sensor Optimized centroid computing in a Shack-Hartmann sensor

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5490.1238t&link_type=abstract

Advancements in Adaptive Optics. Edited by Domenico B. Calia, Brent L. Ellerbroek, and Roberto Ragazzoni. Proceedings of the SPI

Physics

Optics

3

Scientific paper

The wavefront-sensor is one of the most important components of any adaptive optics (AO) system. The simplicity of the Shack-Hartmann sensor has made it a popular choice for such systems. Its accuracy, which largely determines its performance depends on having a good and robust centroid algorithm. Despite a large number of studies, the general recipe for selecting the best centroiding algorithm and best pixel size in a Shack-Hartmann wavefront sensor is still lacking. We combine analytical theory with numerical simulations to compare various flavors of centroiding algorithms (thresholding, windowing, correlation, quad-cell) under different conditions of photon flux, read-out noise, and sampling. It is shown that the choice of the best method depends on those parameters. At very low signal to noise ratio, the performance of the quad-cell is close to optimum.

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