Optics InfoBase > Optics Express > Volume 20 > Issue 3 > Page 2420
|
Using artificial neural networks for open-loop tomographyJames Osborn, Francisco Javier De Cos Juez, Dani Guzman, Timothy Butterley, Richard Myers, Andrés Guesalaga, and Jesus Laine »View Author Affiliations
James Osborn,1,*
Francisco Javier De Cos Juez,2
Dani Guzman,1
Timothy Butterley,3
Richard Myers,3
Andrés Guesalaga,1
and Jesus Laine2
1Dept. of Electrical Engineering, Centre for Astro-Engineering, Pontificia Universidad Catolica de Chile, Vicuña Mackenna 4860, Santiago, Chile 2Mining Exploitation and Prospecting Department, C/Independencia n13, University of Oviedo, 33004 Oviedo, Spain 3Department of Physics, Centre for Advanced Instrumentation, University of Durham, South Road, Durham, DH1 3LE, UK *Corresponding author: josborn@ing.puc.cl |
Optics Express, Vol. 20, Issue 3, pp. 2420-2434 (2012)
http://dx.doi.org/10.1364/OE.20.002420
View Full Text Article
Enhanced HTML 
Acrobat PDF (982 KB)
Abstract
Modern adaptive optics (AO) systems for large telescopes require tomographic techniques to reconstruct the phase aberrations induced by the turbulent atmosphere along a line of sight to a target which is angularly separated from the guide sources that are used to sample the atmosphere. Multi-object adaptive optics (MOAO) is one such technique. Here, we present a method which uses an artificial neural network (ANN) to reconstruct the target phase given off-axis references sources. We compare our ANN method with a standard least squares type matrix multiplication method and to the learn and apply method developed for the CANARY MOAO instrument. The ANN is trained with a large range of possible turbulent layer positions and therefore does not require any input of the optical turbulence profile. It is therefore less susceptible to changing conditions than some existing methods. We also exploit the non-linear response of the ANN to make it more robust to noisy centroid measurements than other linear techniques.
© 2012 OSA
OCIS Codes
(010.1080) Atmospheric and oceanic optics : Active or adaptive optics
(010.1330) Atmospheric and oceanic optics : Atmospheric turbulence
ToC Category:
Adaptive Optics
History
Original Manuscript: October 6, 2011
Revised Manuscript: December 22, 2011
Manuscript Accepted: December 22, 2011
Published: January 19, 2012
Virtual Issues
Vol. 7, Iss. 3 Virtual Journal for Biomedical Optics
Citation
James Osborn, Francisco Javier De Cos Juez, Dani Guzman, Timothy Butterley, Richard Myers, Andrés Guesalaga, and Jesus Laine, "Using artificial neural networks for open-loop tomography," Opt. Express 20, 2420-2434 (2012)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-20-3-2420
Sort: Author | Year | Journal | Reset
References
- M. Le Louarn and N. Hubin, “Wide-field adaptive optics for deep-field spectroscopy in the visible,” Mon. Not. R. Astron. Soc.349(3), 1009–1018 (2004). [CrossRef]
- J. M. Beckers, “Detailed compensation of atmospheric seeing using multiconjugate adaptive optics,” Proc. SPIE1114, 215–217 (1989).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- F. Assémat, E. Gendron, and F. Hammer, “The FALCON concept: multi-object adaptive optics and atmospheric tomography for integral field spectroscopy – principles and performance on an 8-m telescope,” Mon. Not. R. Astron. Soc.376, 287–312 (2007). [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler, “Adaptive optics for array telescopes using neural-network techniques,” Nature348, 221–224 (1990). [CrossRef]
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- D. A. Montera, M. C. Welsh, B. M. Roggemann, and D. W. Ruck, “Processing wave-front-sensors slope measurements using artificial neural networks,” Appl. Opt.35(21), 4238–4251 (1996). [CrossRef] [PubMed]
- M. Lloyd-Hart and P. McGuire, “Spatio-temporal prediction for adaptive optics wavefront reconstructors,” in Proc. European Southern Observatory Conf. on Adaptive Optics, pp. 95–102 (1995).
- S. J. Weddell and R. Y. Webb, “Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy,” inProc. of the Sixth International Conference on Hybrid Intelligent Systems, pp. 68 (2006). [CrossRef]
- S. J. Weddell and R. Y. Webb, “A Neural Network Architecture for the Reconstruction of Turbulence Degraded Point Spread Functions,” in Proc. Image and Vision Computing New Zealand, pp. 103–108 (2007).
- D. Guzmán, F. J. Juez, R. Myers, A. Guesalaga, and F. Lasheras, “Modeling a MEMS deformable mirror using non-parametric estimation techniques,” Opt. Express18(20), 21356–21369 (2010). [CrossRef] [PubMed]
- B. L. Ellerbroek, “First-order performance evaluation of adaptive-optics systems for atmospheric-turbulence compensation in extended-field-of-view astronomical telescopes,” J. Opt. Soc. Am. A11(2), 783–805 (1994). [CrossRef]
- T. Fusco, J. Conan, G. Rousset, L. M. Mugnier, and V. Michau, “Optimal wave-front reconstruction strategies for multiconjugate adaptive optics,” J. Opt. Soc. Am. A18(10), 2527–2538 (2001). [CrossRef]
- J. W. Wild, E. J. Kibblewhite, and R. Vuilleumier, “Sparse matrix wave-front estimators for adaptive-optics systems for large ground-based telescopes,” Opt. Lett.20(9), 955–957 (1995). [CrossRef] [PubMed]
- E. Thiébaut and M. Tallon, “Fast minimum variance wavefront reconstruction for extremely large telescopes,” J. Opt. Soc. Am. A27(5), 1046–1059 (2010). [CrossRef]
- F. Vidal, E. Gendron, and G. Rousset, “Tomography approach for multi-object adaptive optics,” J. Opt. Soc. Am. A.27(11), 253–264 (2010). [CrossRef]
- R. W. Wilson, “SLODAR: measuring optical turbulence altitude with a Shack–Hartmann wavefront sensor,” Mon. Not. R. Astron. Soc.337(1), 103–108 (2002). [CrossRef]
- K. Huarng and T. H.-K. Yu, “The application of neural networks to forecast fuzzy time series,” Physica A, 363(2), 481–491 (2006). [CrossRef]
- K. Swingler, Applying Neural Networks: A Practicle Guide (Academic Press, 1996).
- J. W. Denton, “How good are neural networks for causal forecasting?” J. Bus. Forecast. Methods Syst.14(2), 17–20 (1995).
- S. S. Haykin, Neural Networks: A Comprehensive Foundation (Prentice Hall, 1999).
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature323, 533–536 (1986). [CrossRef]
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- S. Tamura, “An analysis of a noise reduction neural network,” in Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on, pp. 2001–2004 vol.3 (1989).
- R. W. Wilson and C. R. Jenkins, “Adaptive Optics for astronomy: theoretical performance and limitations,” Mon. Not. R. Astron. Soc.268, 39–61 (1996).
- M. Hänggi and G. S. Moschytz, Cellular Neural Networks: Analysis, Desgn and Optimization (Kluwer Academic Publishers, 2000).
- J. Misra and I. Saha, “Artificial neural networks in hardware: A survey of two decades of progress,” Neurocomputing74(1–3), 239–255 (2010). [CrossRef]
Angel, J. R. P.
Assémat, F.
Avila, R.
Barrett, T. K.
Basden, A.
Beckers, J. M.
Bottaci, L.
Brangier, M.
Buat, V.
Burgarella, D.
Butterley, T.
Carrasco, E.
Cayatte, V.
Chemla, F.
Colucci, D.
Conan, J.
Conan, J.-M.
Courbin, F.
Cruz, D. X.
Dalgarno, H.
Dee, K.
Dekany, R.
Denton, J. W.
Dickson, C.
Dipper, N.
Drew, P. J.
Dunlop, C.
Duthie, G. S.
Ellerbroek, B. L.
Farouk, R.
Flores, H.
Fugate, R. Q.
Fusco, T.
Gendron, E.
Geng, D.
Gratador, D.
Gratadour, D.
Greenaway, A.
Guesalaga, A.
Guinouard, I.
Guzman, D.
Guzmán, D.
Hadfield, M. B.
Hammer, F.
Hänggi, M.
Harrison, M.
Hartley, J. E.
Haykin, S. S.
Henry, D.
Hinton, G. E.
Huarng, K.
Hubert, Z.
Hubin, N.
Ibañez, F.
Jenkins, C. R.
Jocou, L.
Juez, F. J.
Kellerer, A.
Kibblewhite, E. J.
Lançon, A.
Laporte, P.
Lasheras, F.
Le Louarn, M.
Lee, P. W.
Lloyd-Hart, M.
Longmore, A.
Looker, N.
Macintyre, I. M.
Marteaud, M.
McCarthy, D.
McGuire, P.
McLeod, B.
Michau, V.
Misra, J.
Monnet, G.
Monson, J. R.
Montera, D. A.
Morris, T.
Moschytz, G. S.
Mouhcine, M.
Mugnier, L. M.
Myers, R.
Myers, R. M.
Palmer, D. A.
Perret, D.
Prieur, J. L.
Rigaud, F.
Robert, C.
Roggemann, B. M.
Rouan, D.
Rousset, G.
Ruck, D. W.
Rumelhart, D. E.
Saha, I.
Sandler, D.
Sandler, D. G.
Sayède, F.
Sevin, A.
Skvarc, J.
Stobie, B.
Swingler, K.
Talbot, G.
Tallon, M.
Tamura, S.
Thiébaut, E.
Todd, S.
Vedrenne, N.
Vernin, J.
Vidal, F.
Vuilleumier, R.
Webb, R. Y.
Weddell, S. J.
Welsh, M. C.
Wild, J. W.
Wild, W. J.
Williams, R. J.
Wilson, R. W.
Wittman, D.
Wizinowich, P.
Younger, E.
Yu, T. H.-K.
Zamkotsian, F.
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler, “Adaptive optics for array telescopes using neural-network techniques,” Nature348, 221–224 (1990). [CrossRef]
- F. Assémat, E. Gendron, and F. Hammer, “The FALCON concept: multi-object adaptive optics and atmospheric tomography for integral field spectroscopy – principles and performance on an 8-m telescope,” Mon. Not. R. Astron. Soc.376, 287–312 (2007). [CrossRef]
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- J. M. Beckers, “Detailed compensation of atmospheric seeing using multiconjugate adaptive optics,” Proc. SPIE1114, 215–217 (1989).
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- J. W. Denton, “How good are neural networks for causal forecasting?” J. Bus. Forecast. Methods Syst.14(2), 17–20 (1995).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
- T. Fusco, J. Conan, G. Rousset, L. M. Mugnier, and V. Michau, “Optimal wave-front reconstruction strategies for multiconjugate adaptive optics,” J. Opt. Soc. Am. A18(10), 2527–2538 (2001). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- F. Vidal, E. Gendron, and G. Rousset, “Tomography approach for multi-object adaptive optics,” J. Opt. Soc. Am. A.27(11), 253–264 (2010). [CrossRef]
- F. Assémat, E. Gendron, and F. Hammer, “The FALCON concept: multi-object adaptive optics and atmospheric tomography for integral field spectroscopy – principles and performance on an 8-m telescope,” Mon. Not. R. Astron. Soc.376, 287–312 (2007). [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- D. Guzmán, F. J. Juez, R. Myers, A. Guesalaga, and F. Lasheras, “Modeling a MEMS deformable mirror using non-parametric estimation techniques,” Opt. Express18(20), 21356–21369 (2010). [CrossRef] [PubMed]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- F. Assémat, E. Gendron, and F. Hammer, “The FALCON concept: multi-object adaptive optics and atmospheric tomography for integral field spectroscopy – principles and performance on an 8-m telescope,” Mon. Not. R. Astron. Soc.376, 287–312 (2007). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- M. Hänggi and G. S. Moschytz, Cellular Neural Networks: Analysis, Desgn and Optimization (Kluwer Academic Publishers, 2000).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- S. S. Haykin, Neural Networks: A Comprehensive Foundation (Prentice Hall, 1999).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature323, 533–536 (1986). [CrossRef]
- K. Huarng and T. H.-K. Yu, “The application of neural networks to forecast fuzzy time series,” Physica A, 363(2), 481–491 (2006). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- M. Le Louarn and N. Hubin, “Wide-field adaptive optics for deep-field spectroscopy in the visible,” Mon. Not. R. Astron. Soc.349(3), 1009–1018 (2004). [CrossRef]
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- R. W. Wilson and C. R. Jenkins, “Adaptive Optics for astronomy: theoretical performance and limitations,” Mon. Not. R. Astron. Soc.268, 39–61 (1996).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- M. Le Louarn and N. Hubin, “Wide-field adaptive optics for deep-field spectroscopy in the visible,” Mon. Not. R. Astron. Soc.349(3), 1009–1018 (2004). [CrossRef]
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- M. Lloyd-Hart and P. McGuire, “Spatio-temporal prediction for adaptive optics wavefront reconstructors,” in Proc. European Southern Observatory Conf. on Adaptive Optics, pp. 95–102 (1995).
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler, “Adaptive optics for array telescopes using neural-network techniques,” Nature348, 221–224 (1990). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- M. Lloyd-Hart and P. McGuire, “Spatio-temporal prediction for adaptive optics wavefront reconstructors,” in Proc. European Southern Observatory Conf. on Adaptive Optics, pp. 95–102 (1995).
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- J. Misra and I. Saha, “Artificial neural networks in hardware: A survey of two decades of progress,” Neurocomputing74(1–3), 239–255 (2010). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- M. Hänggi and G. S. Moschytz, Cellular Neural Networks: Analysis, Desgn and Optimization (Kluwer Academic Publishers, 2000).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- D. Guzmán, F. J. Juez, R. Myers, A. Guesalaga, and F. Lasheras, “Modeling a MEMS deformable mirror using non-parametric estimation techniques,” Opt. Express18(20), 21356–21369 (2010). [CrossRef] [PubMed]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- F. Vidal, E. Gendron, and G. Rousset, “Tomography approach for multi-object adaptive optics,” J. Opt. Soc. Am. A.27(11), 253–264 (2010). [CrossRef]
- T. Fusco, J. Conan, G. Rousset, L. M. Mugnier, and V. Michau, “Optimal wave-front reconstruction strategies for multiconjugate adaptive optics,” J. Opt. Soc. Am. A18(10), 2527–2538 (2001). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature323, 533–536 (1986). [CrossRef]
- J. Misra and I. Saha, “Artificial neural networks in hardware: A survey of two decades of progress,” Neurocomputing74(1–3), 239–255 (2010). [CrossRef]
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler, “Adaptive optics for array telescopes using neural-network techniques,” Nature348, 221–224 (1990). [CrossRef]
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- K. Swingler, Applying Neural Networks: A Practicle Guide (Academic Press, 1996).
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- S. Tamura, “An analysis of a noise reduction neural network,” in Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on, pp. 2001–2004 vol.3 (1989).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- F. Vidal, E. Gendron, and G. Rousset, “Tomography approach for multi-object adaptive optics,” J. Opt. Soc. Am. A.27(11), 253–264 (2010). [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- S. J. Weddell and R. Y. Webb, “A Neural Network Architecture for the Reconstruction of Turbulence Degraded Point Spread Functions,” in Proc. Image and Vision Computing New Zealand, pp. 103–108 (2007).
- S. J. Weddell and R. Y. Webb, “Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy,” inProc. of the Sixth International Conference on Hybrid Intelligent Systems, pp. 68 (2006). [CrossRef]
- S. J. Weddell and R. Y. Webb, “A Neural Network Architecture for the Reconstruction of Turbulence Degraded Point Spread Functions,” in Proc. Image and Vision Computing New Zealand, pp. 103–108 (2007).
- S. J. Weddell and R. Y. Webb, “Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy,” inProc. of the Sixth International Conference on Hybrid Intelligent Systems, pp. 68 (2006). [CrossRef]
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature323, 533–536 (1986). [CrossRef]
- R. W. Wilson, “SLODAR: measuring optical turbulence altitude with a Shack–Hartmann wavefront sensor,” Mon. Not. R. Astron. Soc.337(1), 103–108 (2002). [CrossRef]
- R. W. Wilson and C. R. Jenkins, “Adaptive Optics for astronomy: theoretical performance and limitations,” Mon. Not. R. Astron. Soc.268, 39–61 (1996).
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler, “Adaptive optics for array telescopes using neural-network techniques,” Nature348, 221–224 (1990). [CrossRef]
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- K. Huarng and T. H.-K. Yu, “The application of neural networks to forecast fuzzy time series,” Physica A, 363(2), 481–491 (2006). [CrossRef]
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
Appl. Opt.
- D. A. Montera, M. C. Welsh, B. M. Roggemann, and D. W. Ruck, “Processing wave-front-sensors slope measurements using artificial neural networks,” Appl. Opt.35(21), 4238–4251 (1996). [CrossRef] [PubMed]
Astron. Astrophys.
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
Astrophys. J.
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
J. Bus. Forecast. Methods Syst.
- J. W. Denton, “How good are neural networks for causal forecasting?” J. Bus. Forecast. Methods Syst.14(2), 17–20 (1995).
J. Opt. Soc. Am. A
- B. L. Ellerbroek, “First-order performance evaluation of adaptive-optics systems for atmospheric-turbulence compensation in extended-field-of-view astronomical telescopes,” J. Opt. Soc. Am. A11(2), 783–805 (1994). [CrossRef]
- T. Fusco, J. Conan, G. Rousset, L. M. Mugnier, and V. Michau, “Optimal wave-front reconstruction strategies for multiconjugate adaptive optics,” J. Opt. Soc. Am. A18(10), 2527–2538 (2001). [CrossRef]
- E. Thiébaut and M. Tallon, “Fast minimum variance wavefront reconstruction for extremely large telescopes,” J. Opt. Soc. Am. A27(5), 1046–1059 (2010). [CrossRef]
J. Opt. Soc. Am. A.
- F. Vidal, E. Gendron, and G. Rousset, “Tomography approach for multi-object adaptive optics,” J. Opt. Soc. Am. A.27(11), 253–264 (2010). [CrossRef]
Mon. Not. R. Astron. Soc.
- R. W. Wilson, “SLODAR: measuring optical turbulence altitude with a Shack–Hartmann wavefront sensor,” Mon. Not. R. Astron. Soc.337(1), 103–108 (2002). [CrossRef]
- M. Le Louarn and N. Hubin, “Wide-field adaptive optics for deep-field spectroscopy in the visible,” Mon. Not. R. Astron. Soc.349(3), 1009–1018 (2004). [CrossRef]
- F. Assémat, E. Gendron, and F. Hammer, “The FALCON concept: multi-object adaptive optics and atmospheric tomography for integral field spectroscopy – principles and performance on an 8-m telescope,” Mon. Not. R. Astron. Soc.376, 287–312 (2007). [CrossRef]
- R. W. Wilson and C. R. Jenkins, “Adaptive Optics for astronomy: theoretical performance and limitations,” Mon. Not. R. Astron. Soc.268, 39–61 (1996).
Nature
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature323, 533–536 (1986). [CrossRef]
- J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler, “Adaptive optics for array telescopes using neural-network techniques,” Nature348, 221–224 (1990). [CrossRef]
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
Neurocomputing
- J. Misra and I. Saha, “Artificial neural networks in hardware: A survey of two decades of progress,” Neurocomputing74(1–3), 239–255 (2010). [CrossRef]
Opt. Express
- D. Guzmán, F. J. Juez, R. Myers, A. Guesalaga, and F. Lasheras, “Modeling a MEMS deformable mirror using non-parametric estimation techniques,” Opt. Express18(20), 21356–21369 (2010). [CrossRef] [PubMed]
Opt. Lett.
- J. W. Wild, E. J. Kibblewhite, and R. Vuilleumier, “Sparse matrix wave-front estimators for adaptive-optics systems for large ground-based telescopes,” Opt. Lett.20(9), 955–957 (1995). [CrossRef] [PubMed]
Physica A
- K. Huarng and T. H.-K. Yu, “The application of neural networks to forecast fuzzy time series,” Physica A, 363(2), 481–491 (2006). [CrossRef]
Proc. European Southern Observatory Conf. on Adaptive Optics
- M. Lloyd-Hart and P. McGuire, “Spatio-temporal prediction for adaptive optics wavefront reconstructors,” in Proc. European Southern Observatory Conf. on Adaptive Optics, pp. 95–102 (1995).
Proc. Image and Vision Computing New Zealand
- S. J. Weddell and R. Y. Webb, “A Neural Network Architecture for the Reconstruction of Turbulence Degraded Point Spread Functions,” in Proc. Image and Vision Computing New Zealand, pp. 103–108 (2007).
Proc. of the Sixth International Conference on Hybrid Intelligent Systems
- S. J. Weddell and R. Y. Webb, “Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy,” inProc. of the Sixth International Conference on Hybrid Intelligent Systems, pp. 68 (2006). [CrossRef]
Proc. SPIE
- J. M. Beckers, “Detailed compensation of atmospheric seeing using multiconjugate adaptive optics,” Proc. SPIE1114, 215–217 (1989).
Publ. Astron. Soc. Pac.
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
The Lancet
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
Other
- S. Tamura, “An analysis of a noise reduction neural network,” in Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on, pp. 2001–2004 vol.3 (1989).
- M. Hänggi and G. S. Moschytz, Cellular Neural Networks: Analysis, Desgn and Optimization (Kluwer Academic Publishers, 2000).
- S. S. Haykin, Neural Networks: A Comprehensive Foundation (Prentice Hall, 1999).
- F. Hammer, F. Sayède, E. Gendron, T. Fusco, D. Burgarella, V. Cayatte, J.-M. Conan, F. Courbin, H. Flores, I. Guinouard, L. Jocou, A. Lançon, G. Monnet, M. Mouhcine, F. Rigaud, D. Rouan, G. Rousset, V. Buat, and F. Zamkotsian, “The FALCON Concept: Multi-Object Spectroscopy Combined with MCAO in Near-IR,” in Scientific Drivers for ESO Future VLT/VLTI Instrumentation, J. Bergeron and G. Monnet, eds.(Springer-Verlag, 2002), p. 139. [CrossRef]
- T. Morris, Z. Hubert, R. Myers, E. Gendron, A. Longmore, G. Rousset, G. Talbot, T. Fusco, N. Dipper, F. Vidal, D. Henry, D. Gratadour, T. Butterley, F. Chemla, D. Guzman, P. Laporte, E. Younger, A. Kellerer, M. Harrison, M. Marteaud, D. Geng, A. Basden, A. Guesalaga, C. Dunlop, S. Todd, C. Robert, K. Dee, C. Dickson, N. Vedrenne, A. Greenaway, B. Stobie, H. Dalgarno, and J. Skvarc, “CANARY: The NGS/LGS MOAO demonstrator for EAGLE,” 1st AO4ELT conference p. 08003 (2010).
- K. Swingler, Applying Neural Networks: A Practicle Guide (Academic Press, 1996).
2011, Gendron, Astron. Astrophys.
- E. Gendron, F. Vidal, M. Brangier, T. Morris, Z. Hubert, A. Basden, G. Rousset, R. M. Myers, F. Chemla, A. Longmore, T. Butterley, N. Dipper, C. Dunlop, D. Geng, D. Gratador, D. Henry, P. Laporte, N. Looker, D. Perret, A. Sevin, G. Talbot, and E. Younger, “MOAO first on-sky demonstration with CANARY,” Astron. Astrophys.L2(529) (2011).
- F. Vidal, E. Gendron, and G. Rousset, “Tomography approach for multi-object adaptive optics,” J. Opt. Soc. Am. A.27(11), 253–264 (2010). [CrossRef]
- J. Misra and I. Saha, “Artificial neural networks in hardware: A survey of two decades of progress,” Neurocomputing74(1–3), 239–255 (2010). [CrossRef]
- S. J. Weddell and R. Y. Webb, “A Neural Network Architecture for the Reconstruction of Turbulence Degraded Point Spread Functions,” in Proc. Image and Vision Computing New Zealand, pp. 103–108 (2007).
- F. Assémat, E. Gendron, and F. Hammer, “The FALCON concept: multi-object adaptive optics and atmospheric tomography for integral field spectroscopy – principles and performance on an 8-m telescope,” Mon. Not. R. Astron. Soc.376, 287–312 (2007). [CrossRef]
- R. Avila, E. Carrasco, F. Ibañez, J. Vernin, J. L. Prieur, and D. X. Cruz, “Generalized SCIDAR Measurements at San Pedro Mártir. II. Wind Profile Statistics,” Publ. Astron. Soc. Pac.118, 503–515 (2006). [CrossRef]
- S. J. Weddell and R. Y. Webb, “Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy,” inProc. of the Sixth International Conference on Hybrid Intelligent Systems, pp. 68 (2006). [CrossRef]
- K. Huarng and T. H.-K. Yu, “The application of neural networks to forecast fuzzy time series,” Physica A, 363(2), 481–491 (2006). [CrossRef]
- M. Le Louarn and N. Hubin, “Wide-field adaptive optics for deep-field spectroscopy in the visible,” Mon. Not. R. Astron. Soc.349(3), 1009–1018 (2004). [CrossRef]
- R. W. Wilson, “SLODAR: measuring optical turbulence altitude with a Shack–Hartmann wavefront sensor,” Mon. Not. R. Astron. Soc.337(1), 103–108 (2002). [CrossRef]
- L. Bottaci, P. J. Drew, J. E. Hartley, M. B. Hadfield, R. Farouk, P. W. Lee, I. M. Macintyre, G. S. Duthie, and J. R. Monson, “Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions,” The Lancet350(9076), 469–472 (1997). [CrossRef]
- R. W. Wilson and C. R. Jenkins, “Adaptive Optics for astronomy: theoretical performance and limitations,” Mon. Not. R. Astron. Soc.268, 39–61 (1996).
- M. Lloyd-Hart and P. McGuire, “Spatio-temporal prediction for adaptive optics wavefront reconstructors,” in Proc. European Southern Observatory Conf. on Adaptive Optics, pp. 95–102 (1995).
- J. W. Denton, “How good are neural networks for causal forecasting?” J. Bus. Forecast. Methods Syst.14(2), 17–20 (1995).
- M. Lloyd-Hart, P. Wizinowich, B. McLeod, D. Wittman, D. Colucci, R. Dekany, D. McCarthy, J. R. P. Angel, and D. Sandler, “First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artifical neural network,” Astrophys. J.390(1), L41–L44 (1992). [CrossRef]
- D. G. Sandler, T. K. Barrett, D. A. Palmer, R. Q. Fugate, and W. J. Wild, “Use of a neural network to control an adaptive optics system for an astronomical telescope,” Nature351, 300–302 (1991). [CrossRef]
- J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler, “Adaptive optics for array telescopes using neural-network techniques,” Nature348, 221–224 (1990). [CrossRef]
- J. M. Beckers, “Detailed compensation of atmospheric seeing using multiconjugate adaptive optics,” Proc. SPIE1114, 215–217 (1989).
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature323, 533–536 (1986). [CrossRef]
Cited By |
 Alert me when this paper is cited |
OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.
Related Journal Articles 
- Theory of branch-point detection and its implementation (JOSAA)
- Photon statistics in partially compensated wave fronts (JOSAA)
- Analysis of measured photon returns from sodium beacons (JOSAA)
- Variance of the Strehl ratio of an adaptive optics system (JOSAA)
- Measuring wind speeds and turbulence with a wave-front sensor (OL)
Related Conference Papers
- Efficient, Adaptive Wave-Front Control for High-Order Adaptive Optics
- Solving Propagation Problems in Turbulence Using Filter Functions and Mellin Transforms
- Optimality, Observers and Controllers in Adaptive Optics
- Atmospheric Turbulence Outer Scale Profile for MCAO Specifications
- Atmospheric Turbulence Outer Scale Profile for MCAO Specifications
« Previous Article | Next Article »
OSA is a member of 
For optimal display we recommend the following web browsers:
- Firefox 11+
- Google Chrome 17+
- Internet Explorer 9+
- Safari 5+