@inproceedings{867a6ce9e93e4e5da3b8adf8451efa3d,
title = "MAVIS: real-time wavefront estimation strategy",
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.",
keywords = "adaptive optics, estimation, MAVIS, real time control, wavefront sensing",
author = "Jesse Cranney and Guido Agapito and C{\'e}dric Plantet and Enrico Pinna and Valentina Viotto and Fran{\c c}ois Rigaut and Nicolas Doucet and Julien Bernard and Damien Gratadour and Brian Taylor and Antony Galla and David Brodrick and Jennifer Burgess",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; Adaptive Optics Systems IX 2024 ; Conference date: 16-06-2024 Through 22-06-2024",
year = "2024",
doi = "10.1117/12.3019270",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jackson, \{Kathryn J.\} and Dirk Schmidt and Elise Vernet",
booktitle = "Adaptive Optics Systems IX",
address = "United States",
}