Tomography and calibration for Raven: from simulations to laboratory results

Kate Jackson; Carlos Correia; Olivier Lardière; Dave Andersen; Colin Bradley; Laurie Pham; Célia Blain; Reston Nash; Darryl Gamroth; Jean-Pierre Véran

doi:10.1117/12.2057034

21 July 2014 Tomography and calibration for Raven: from simulations to laboratory results

Kate Jackson, Carlos Correia, Olivier Lardière, Dave Andersen, Colin Bradley, Laurie Pham, Célia Blain, Reston Nash, Darryl Gamroth, Jean-Pierre Véran

Author Affiliations +

Proceedings Volume 9148, Adaptive Optics Systems IV; 91482K (2014) https://doi.org/10.1117/12.2057034
Event: SPIE Astronomical Telescopes + Instrumentation, 2014, Montréal, Quebec, Canada

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.

Citation Download Citation

Kate Jackson, Carlos Correia, Olivier Lardière, Dave Andersen, Colin Bradley, Laurie Pham, Célia Blain, Reston Nash, Darryl Gamroth, and Jean-Pierre Véran "Tomography and calibration for Raven: from simulations to laboratory results", Proc. SPIE 9148, Adaptive Optics Systems IV, 91482K (21 July 2014); https://doi.org/10.1117/12.2057034

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