Share Email Print

Proceedings Paper

Tomography and calibration for Raven: from simulations to laboratory results
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper discusses static and dynamic tomographic wave-front (WF) reconstructors tailored to Multi-Object Adaptive Optics (MOAO) for Raven, the first MOAO science and technology demonstrator recently installed on an 8m telescope. We show the results of a new minimum mean- square error (MMSE) solution based on spatio-angular (SA) correlation functions, which extends previous work in Correia et al, JOSA-A 20131 to adopt a zonal representation of the wave-front and its associated signals. This solution is outlined for the static reconstruction and then extended for the use of stand-alone temporal prediction and as a prediction model in a pupil plane based Linear Quadratic Gaussian (LQG) algorithm. We have fully tested our algorithms in the lab and compared the results to simulations of the Raven system. These simulations have shown that an increase in limiting magnitude of up to one magnitude can be expected when prediction is implemented and up to two magnitudes when the LQG is used.

Paper Details

Date Published: 21 July 2014
PDF: 13 pages
Proc. SPIE 9148, Adaptive Optics Systems IV, 91482K (21 July 2014); doi: 10.1117/12.2057034
Show Author Affiliations
Kate Jackson, Univ. of Victoria (Canada)
Carlos Correia, Univ. do Porto (Portugal)
Olivier Lardière, Univ. of Victoria (Canada)
Dave Andersen, NRC - Herzburg Institute of Astrophysics (Canada)
Colin Bradley, Univ. of Victoria (Canada)
Laurie Pham, Univ. of Victoria (Canada)
Célia Blain, Univ. of Victoria (Canada)
Reston Nash, Univ. of Victoria (Canada)
Darryl Gamroth, Univ. of Victoria (Canada)
Jean-Pierre Véran, NRC - Herzburg Institute of Astrophysics (Canada)

Published in SPIE Proceedings Vol. 9148:
Adaptive Optics Systems IV
Enrico Marchetti; Laird M. Close; Jean-Pierre Véran, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?