MAVIS: system modelling and performance prediction

Guido Agapito; Daniele Vassallo; Cedric Plantet; Valentina Viotto; Enrico Pinna; Benoit Neichel; Thierry Fusco; Francois Rigaut

doi:10.1117/12.2561252

13 December 2020 MAVIS: system modelling and performance prediction

Guido Agapito, Daniele Vassallo, Cedric Plantet, Valentina Viotto, Enrico Pinna, Benoit Neichel, Thierry Fusco, Francois Rigaut

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Proceedings Volume 11448, Adaptive Optics Systems VII; 114483R (2020) https://doi.org/10.1117/12.2561252
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

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Abstract

The MCAO Assisted Visible Imager and Spectrograph (MAVIS) Adaptive Optics Module has very demanding goals to support science in the optical: providing 15% SR in V band on a large FoV of 30arcsec diameter in standard atmospheric conditions at Paranal. It will be able to work in closed loop on up to three natural guide stars down to H=19, providing a sky coverage larger than 50% in the south galactic pole. Such goals and the exploration of a large MCAO system parameters space have required a combination of analytical and endto-end simulations to assess performance, sky coverage and drive the design. In this work we report baseline performance, statistical sky coverage and parameters sensitivity analysis done in the phase-A instrument study.

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Guido Agapito, Daniele Vassallo, Cedric Plantet, Valentina Viotto, Enrico Pinna, Benoit Neichel, Thierry Fusco, and Francois Rigaut "MAVIS: system modelling and performance prediction", Proc. SPIE 11448, Adaptive Optics Systems VII, 114483R (13 December 2020); https://doi.org/10.1117/12.2561252

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