MAVIS: performance estimation of the adaptive optics module

Guido Agapito; Daniele Vassallo; Cedric Plantet; Jesse Cranney; Hao Zhang; Valentina Viotto; Enrico Pinna; Francois Rigaut

doi:10.1117/12.2629363

29 August 2022 MAVIS: performance estimation of the adaptive optics module

Guido Agapito, Daniele Vassallo, Cedric Plantet, Jesse Cranney, Hao Zhang, Valentina Viotto, Enrico Pinna, Francois Rigaut

Author Affiliations +

Proceedings Volume 12185, Adaptive Optics Systems VIII; 121853L (2022) https://doi.org/10.1117/12.2629363
Event: SPIE Astronomical Telescopes + Instrumentation, 2022, Montréal, Québec, Canada

Conference Poster

Abstract

The MCAO Assisted Visible Imager and Spectrograph (MAVIS) is a new visible instrument for ESO Very Large Telescope (VLT). Its Adaptive Optics Module (AOM) must provide extreme adaptive optics correction level at low galactic latitude and high sky coverage at the galactic pole on the FoV of 30arcsec of its 4k × 4k optical imager and on its monolithic Integral Field Unit, thanks to 3 deformable mirrors (DM), 8 Laser Guide Stars (LGS), up to 3 Natural Guide Stars (NGS) and 11 Wave Front Sensors (WFS). A careful performance estimation is required to drive the design of this module and to assess the fulfillment of the system and subsystems requirements. Here we present the work done on this topic during the last year: we updated the system parameters to account for the phase B design and for more realistic conditions, and we produced a set of results from analytical and end-to-end simulations that should give a as complete as possible view on the performance of the system.

Citation Download Citation

Guido Agapito, Daniele Vassallo, Cedric Plantet, Jesse Cranney, Hao Zhang, Valentina Viotto, Enrico Pinna, and Francois Rigaut "MAVIS: performance estimation of the adaptive optics module", Proc. SPIE 12185, Adaptive Optics Systems VIII, 121853L (29 August 2022); https://doi.org/10.1117/12.2629363

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