@inproceedings{c8acded54b32440db5ffbc0cd9cca5f3,
title = "MAVIS: Astrometric calibration technique",
abstract = "The MCAO Assisted Visible Imager and Spectrograph (MAVIS) is currently in preliminary design for the ESO VLT in Chile, and is set to deliver diffraction limited science in V-band over a wide (30”x30”) field of view. In order for MAVIS to capitalise on its high angular resolution over a large science field, a sensitive astrometric calibration process will be employed. The stringent requirements on this calibration process require the development of an astrometric calibration technique which is insensitive to manufacturing errors in the calibration mask, while still able to detect a broad range of distortions present in the MAVIS optical path. We derive one such calibration method along with simulations in the MAVIS context, using the open-source MAVISIM tool with realistic errors present.",
keywords = "astrometry, calibration, MAVIS",
author = "Jesse Cranney and Dionne Haynes and Israel Vaughn and Trevor Mendel and Stephanie Monty and Davide Greggio and David Brodrick and Fran{\c c}ois Rigaut",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; Adaptive Optics Systems VIII 2022 ; Conference date: 17-07-2022 Through 22-07-2022",
year = "2022",
month = aug,
day = "29",
doi = "10.1117/12.2629678",
language = "English",
volume = "12185",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
pages = "1--8",
editor = "Laura Schreiber and Dirk Schmidt and Elise Vernet",
booktitle = "Adaptive Optics Systems VIII",
address = "United States",
}