MAVIS: real-time wavefront estimation strategy

Jesse Cranney; Guido Agapito; Cédric Plantet; Enrico Pinna; Valentina Viotto; François Rigaut; Nicolas Doucet; Julien Bernard; Damien Gratadour; Brian Taylor; Antony Galla; David Brodrick; Jennifer Burgess

doi:10.1117/12.3019270

27 August 2024 MAVIS: real-time wavefront estimation strategy

Jesse Cranney, Guido Agapito, Cédric Plantet, Enrico Pinna, Valentina Viotto, François Rigaut, Nicolas Doucet, Julien Bernard, Damien Gratadour, Brian Taylor, Antony Galla, David Brodrick, Jennifer Burgess

Author Affiliations +

Proceedings Volume 13097, Adaptive Optics Systems IX; 130977U (2024) https://doi.org/10.1117/12.3019270
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Conference Poster

Abstract

The MCAO-Assisted Visible Imager and Spectrograph (MAVIS) will utilise the Adaptive Optics Facility of the ESO Very Large Telescope, UT4. In order to fully harness the resolving power of an 8 m telescope in the visible spectrum, the AO system of MAVIS must adhere to a tight wavefront error budget. The demanding performance requirements flow into all aspects of the MAVIS design, not the least of which is the wavefront estimation strategy, leveraging tomographic turbulence measurements from 3 natural guide stars and 8 laser guide stars, all coupled to Shack Hartmann wavefront sensors. In this paper, we summarise the wavefront estimation processes proposed for MAVIS. In a companion paper, we discuss the LGS WFS design.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Jesse Cranney, Guido Agapito, Cédric Plantet, Enrico Pinna, Valentina Viotto, François Rigaut, Nicolas Doucet, Julien Bernard, Damien Gratadour, Brian Taylor, Antony Galla, David Brodrick, and Jennifer Burgess "MAVIS: real-time wavefront estimation strategy", Proc. SPIE 13097, Adaptive Optics Systems IX, 130977U (27 August 2024); https://doi.org/10.1117/12.3019270

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