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Open loop tomography with artificial neural networks on CANARY: on-sky results

Osborn, J.; Guzman, D.; De Cos Juez, F.J.; Basden, A.G.; Morris, T.J.; Gendron, E.; Butterley, T.; Myers, R.M.; Guesalaga, A.; Sanchez Lasheras, F.; Gomez Victoria, M.; Sánchez Rodríguez, M.L.; Gratadour, D.; Rousset, G.

Open loop tomography with artificial neural networks on CANARY: on-sky results Thumbnail


D. Guzman

F.J. De Cos Juez

A.G. Basden

E. Gendron

T. Butterley

A. Guesalaga

F. Sanchez Lasheras

M. Gomez Victoria

M.L. Sánchez Rodríguez

D. Gratadour

G. Rousset


We present recent results from the initial testing of an artificial neural network (ANN)-based tomographic reconstructor Complex Atmospheric Reconstructor based on Machine lEarNing (CARMEN) on CANARY, an adaptive optics demonstrator operated on the 4.2 m William Herschel Telescope, La Palma. The reconstructor was compared with contemporaneous data using the Learn and Apply (L&A) tomographic reconstructor. We find that the fully optimized L&A tomographic reconstructor outperforms CARMEN by approximately 5 per cent in Strehl ratio or 15 nm rms in wavefront error. We also present results for CANARY in Ground Layer Adaptive Optics mode to show that the reconstructors are tomographic. The results are comparable and this small deficit is attributed to limitations in the training data used to build the ANN. Laboratory bench tests show that the ANN can outperform L&A under certain conditions, e.g. if the higher layer of a model two layer atmosphere was to change in altitude by ∼300 m (equivalent to a shift of approximately one tenth of a subaperture).


Osborn, J., Guzman, D., De Cos Juez, F., Basden, A., Morris, T., Gendron, E., …Rousset, G. (2014). Open loop tomography with artificial neural networks on CANARY: on-sky results. Monthly Notices of the Royal Astronomical Society, 441(3), 2508-2514.

Journal Article Type Article
Acceptance Date Apr 12, 2014
Online Publication Date May 20, 2014
Publication Date Jul 1, 2014
Deposit Date Nov 24, 2014
Publicly Available Date Apr 28, 2015
Journal Monthly Notices of the Royal Astronomical Society
Print ISSN 0035-8711
Electronic ISSN 1365-2966
Publisher Royal Astronomical Society
Peer Reviewed Peer Reviewed
Volume 441
Issue 3
Pages 2508-2514
Keywords Atmospheric effects, Instrumentation: adaptive optics.


Published Journal Article (2.5 Mb)

Copyright Statement
This article has been accepted for publication in Monthly notices of the Royal Astronomical Society. ©: 2014 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

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