Open loop tomography with artificial neural networks on CANARY : on-sky results
| Autor: | Richard M. Myers, Damien Gratadour, James Osborn, Eric Gendron, Tim Morris, M. L. Sánchez Rodríguez, Timothy Butterley, M. Gomez Victoria, A. Guesalaga, Dani Guzman, Gérard Rousset, Alastair Basden, F. Sánchez Lasheras, F. J. de Cos Juez |
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| Přispěvatelé: | Public Health Science, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Department of Physics [Durham University], Durham University, Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Physics, Centre for Advanced Instrumentation, Pontificia Universidad Católica de Chile (UC), Universidad de Oviedo [Oviedo], Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Oviedo University, Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES) |
| Rok vydání: | 2014 |
| Předmět: |
media_common.quotation_subject
FOS: Physical sciences 02 engineering and technology 01 natural sciences adaptive optics. [Instrumentation] 0103 physical sciences 0202 electrical engineering electronic engineering information engineering William Herschel Telescope Adaptive optics 010303 astronomy & astrophysics Instrumentation and Methods for Astrophysics (astro-ph.IM) ComputingMilieux_MISCELLANEOUS media_common Physics [PHYS]Physics [physics] Training set Artificial neural network Open-loop controller Strehl ratio Astronomy and Astrophysics Atmospheric effects Space and Planetary Science Sky 020201 artificial intelligence & image processing Tomography Astrophysics - Instrumentation and Methods for Astrophysics [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] Algorithm |
| Zdroj: | Monthly notices of the Royal Astronomical Society, 2014, Vol.441(3), pp.2508-2514 [Peer Reviewed Journal] Scopus RUO. Repositorio Institucional de la Universidad de Oviedo instname Monthly Notices of the Royal Astronomical Society Monthly Notices of the Royal Astronomical Society, 2014, 441 (3), pp.2508-2514. ⟨10.1093/mnras/stu758⟩ Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2014, 441 (3), pp.2508-2514. ⟨10.1093/mnras/stu758⟩ RUO: Repositorio Institucional de la Universidad de Oviedo Universidad de Oviedo (UNIOVI) MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY Artículos CONICYT CONICYT Chile instacron:CONICYT |
| ISSN: | 0035-8711 1365-2966 |
| DOI: | 10.1093/mnras/stu758⟩ |
| Popis: | 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 4.2m 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 optimised L&A tomographic reconstructor outperforms CARMEN by approximately 5% in Strehl ratio or 15nm 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 out perform 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). 8 pages, 6 figures |
| Databáze: | OpenAIRE |
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