The MOAO system of the IRMOS near-infrared multi-object spectrograph for TMT

Andersen, David R.; Eikenberry, S. S.; Fletcher, Murray; Gardhouse, William; Leckie, Brian; Véran, Jean-Pierre; Gavel, Don; Clare, Richard; Guzmán, R.; Jolissaint, Laurent; Julian, Roger; Rambold, William

doi:10.1117/12.672177

Cited by 24 publications

(23 citation statements)

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“…1 The instruments of multiple Integral Field Spectrographs (IFSs) with MOAO corrections are planed for future Extreme Large Telescopes (ELTs), [2][3][4] and these instruments will have 10∼20 multiplicities over a FoR of 5∼10 arcmin diameter. However, there are some technical difficulties associated with MOAO systems: alignment, calibration and tomographic wavefront reconstruction on the openloop control.…”

Section: Introductionmentioning

confidence: 99%

On-sky MOAO performance evaluation of RAVEN

Ono

Correia

Lardière

et al. 2016

Adaptive Optics Systems V

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This paper presents the AO performance we got on-sky with RAVEN, a Multi-Object Adaptive Optics (MOAO) technical and science demonstrator installed and tested at the Subaru telescope. We report Ensquared-Energy (EE) and Full Width at Half Maximum (FWHM) measured from science images on Subaru's IRCS taken during all of the on-sky observing runs. We show these metrics as function of different AO modes and atmospheric conditions for two asterisms of natural guide stars. The performances of the MOAO and Ground-Layer AO (GLAO) modes are between the classical Single-Conjugate AO (SCAO) and seeing-limited modes. We achieve the EE of 30 % in H-band with the MOAO correction, which is a science requirement for RAVEN. The MOAO provides sightly better performance than the GLAO mode in both asterisms. One of the reasons which cause this small difference between the MOAO and GLAO modes may be the strong GL contribution. Also, the performance of the MOAO modes is affected by the accuracy of the on-sky turbulence profiling by the SLOpe Detection And Ranging (SLODAR) method.

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Section: Introductionmentioning

confidence: 99%

On-sky MOAO performance evaluation of RAVEN

Ono

Correia

Lardière

et al. 2016

Adaptive Optics Systems V

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“…The Thirty Meter Telescope project also has plans for a multi-object spectrograph with AO, called IRMOS [11,12]. The results presented here show that the estimated performance of these systems (taking into account the many unknowns in the designs), both estimating 50%-60% ensquared energy in 50 mas.…”

Section: E Thirty Meter Telescope Comparisonsmentioning

confidence: 74%

Considerations for EAGLE from Monte Carlo adaptive optics simulation

2010

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. The EAGLE instrument for the European Extremely Large Telescope is a multi-object integral field unit spectrograph that uses a multi-object adaptive optics (AO) system for wavefront correction of interesting lines of sight. We present a Monte Carlo AO simulation package that has been used to model the performance of EAGLE, and provide results, including comparisons with an analytical code. These results include an investigation of the performance of compressed reconstructor representations that have the potential to significantly reduce the complexity of a real-time control system when implemented.

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“…E-ELT MOSAIC [? ], TMT's IRMOS [5]) as a function of the number of science targets for N act = 3200 (from a 64x64 DM), N s = 2N act , N ϕ = 4N act ,N l = 10 and N α = 6. For a maximum multiplex capacity of 20 science targets both the SA-LQG and the E-LQG are only a factor 2 and 3 more demanding than the MMSE, i.e.…”

Section: B Predictive Casementioning

confidence: 99%

Spatio-angular minimum-variance tomographic controller for multi-object adaptive-optics systems

Correia¹,

Jackson²,

Véran³

et al. 2015

Appl. Opt.

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International audienceMulti-object astronomical adaptive optics (MOAO) is now a mature wide-field observation mode to enlarge the adaptive-optics-corrected field in a few specific locations over tens of arcminutes. The work-scope provided by open-loop tomography and pupil conjugation is amenable to a spatio-angular linear-quadratic-Gaussian (SA-LQG) formulation aiming to provide enhanced correction across the field with improved performance over static reconstruction methods and less stringent computational complexity scaling laws. Starting from our previous work [J. Opt. Soc. Am. A 31, 101 (2014)], we use stochastic time-progression models coupled to approximate sparse measurement operators to outline a suitable SA-LQG formulation capable of delivering near optimal correction. Under the spatio-angular framework the wavefronts are never explicitly estimated in the volume, providing considerable computational savings on 10-m-class telescopes and beyond. We find that for Raven, a 10-m-class MOAO system with two science channels, the SA-LQG improves the limiting magnitude by two stellar magnitudes when both the Strehl ratio and the ensquared energy are used as figures of merit. The sky coverage is therefore improved by a factor of similar to 5. (C) 2015 Optical Society of Americ

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The MOAO system of the IRMOS near-infrared multi-object spectrograph for TMT

Cited by 24 publications

References 0 publications

On-sky MOAO performance evaluation of RAVEN

On-sky MOAO performance evaluation of RAVEN

Considerations for EAGLE from Monte Carlo adaptive optics simulation

Spatio-angular minimum-variance tomographic controller for multi-object adaptive-optics systems

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