First on-sky results of a neural network based tomographic reconstructor: Carmen on Canary

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

doi:10.1117/12.2057462

21 July 2014 First on-sky results of a neural network based tomographic reconstructor: Carmen on Canary

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

Author Affiliations +

Proceedings Volume 9148, Adaptive Optics Systems IV; 91484M (2014) https://doi.org/10.1117/12.2057462
Event: SPIE Astronomical Telescopes + Instrumentation, 2014, Montréal, Quebec, Canada

Abstract

We present on-sky results obtained with Carmen, an artificial neural network tomographic reconstructor. It was tested during two nights in July 2013 on Canary, an AO demonstrator on the William Hershel Telescope. Carmen is trained during the day on the Canary calibration bench. This training regime ensures that Carmen is entirely flexible in terms of atmospheric turbulence profile, negating any need to re-optimise the reconstructor in changing atmospheric conditions. Carmen was run in short bursts, interlaced with an optimised Learn and Apply reconstructor. We found the performance of Carmen to be approximately 5% lower than that of Learn and Apply.

Citation Download Citation

J. Osborn, D. Guzman, F. J. de Cos Juez, A. G. Basden, T. J. Morris, É. Gendron, T. Butterley, R. M. Myers, A. Guesalaga, F. Sanchez Lasheras, M. Gomez Victoria, M. L. Sánchez Rodríguez, D. Gratadour, and G. Rousset "First on-sky results of a neural network based tomographic reconstructor: Carmen on Canary", Proc. SPIE 9148, Adaptive Optics Systems IV, 91484M (21 July 2014); https://doi.org/10.1117/12.2057462

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available