On-sky tests of the CuReD and HWR fast wavefront reconstruction algorithms with CANARY
Author(s) -
Urban Bitenc,
Alastair Basden,
Nazim A. Bharmal,
Tim Morris,
N. A. Dipper,
É. Gendron,
Fabrice Vidal,
Damien Gratadour,
Gérard Rousset,
Richard M. Myers
Publication year - 2015
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-8711
pISSN - 0035-8711
DOI - 10.1093/mnras/stv003
Subject(s) - wavefront , physics , deformable mirror , algorithm , adaptive optics , integrator , strehl ratio , smoothing , telescope , estimator , wavefront sensor , optics , phase (matter) , computer science , mathematics , computer vision , statistics , voltage , quantum mechanics
CuReD (Cumulative Reconstructor with domain Decomposition) and HWR (Hierarchical Wavefront Reconstructor) are novel wavefront reconstruction algorithms for the Shack–Hartmann wavefront sensor, used in the single-conjugate adaptive optics. For a high-order system they are much faster than the traditional matrix–vector-multiplication method. We have developed three methods for mapping the reconstructed phase into the deformable mirror actuator commands and have tested both reconstructors with the CANARY instrument. We find out that the CuReD reconstructor runs stably only if the feedback loop is operated as a leaky integrator, whereas HWR runs stably with the conventional integrator control. Using the CANARY telescope simulator we find that the Strehl ratio (SR) obtained with CuReD is slightly higher than that of the traditional least-squares estimator (LSE). We demonstrate that this is because the CuReD algorithm has a smoothing effect on the output wavefront. The SR of HWR is slightly lower than that of LSE. We have tested both reconstructors extensively on-sky. They perform well and CuReD achieves a similar SR as LSE. We compare the CANARY results with those from a computer simulation and find good agreement between the two
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