2006
DOI: 10.1364/ao.45.006568
|View full text |Cite
|
Sign up to set email alerts
|

Shack-Hartmann wavefront sensing with elongated sodium laser beacons: centroiding versus matched filtering

Abstract: We describe modeling and simulation results for the Thirty Meter Telescope on the degradation of sodium laser guide star Shack-Hartmann wavefront sensor measurement accuracy that will occur due to the spatial structure and temporal variations of the mesospheric sodium layer. By using a contiguous set of lidar measurements of the sodium profile, the performance of a standard centroid and of a more refined noiseoptimal matched filter spot position estimation algorithm is analyzed and compared for a nominal mean … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
40
0
2

Year Published

2007
2007
2022
2022

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 73 publications
(42 citation statements)
references
References 7 publications
0
40
0
2
Order By: Relevance
“…But the reference image has zero center-of-mass centroid, so the correlation track algorithm will give the same centroid as the center-of-mass centroid. The same result will be true for the matched filter algorithm [16] for finding the subaperture displacements, because the reference images will still be truncated, and the true center unknown.…”
Section: Centroiding Algorithmsmentioning
confidence: 67%
“…But the reference image has zero center-of-mass centroid, so the correlation track algorithm will give the same centroid as the center-of-mass centroid. The same result will be true for the matched filter algorithm [16] for finding the subaperture displacements, because the reference images will still be truncated, and the true center unknown.…”
Section: Centroiding Algorithmsmentioning
confidence: 67%
“…Fig. 4 shows the rms of ptv Zernike modes for a center-of-gravity (CoG) and a matched filter (MF) [4,1]. These errors are obtained by reproducing a time sequence of Na profiles and projecting the slopes deduced from both algorithms onto the Zernike polynomials.…”
Section: The Benchmentioning
confidence: 99%
“…It is very commonly used in astronomical adaptive optics systems (Gilles & Ellerbroek, 2006), lens testing (Birch et al, 2010), ophthalmology (Wei & Thibos, 2010) and microscopy (Cha et al, 2010). It is used in the correction of errors due to non-flatness of spatial light modulators in holographic optical tweezer applications (López-Quesada et al, 2009).…”
Section: Introductionmentioning
confidence: 99%