Poster + Paper
27 August 2024 Efficient asterism selection for wide field adaptive optics systems with TIPTOP
Author Affiliations +
Conference Poster
Abstract
Wide Field Adaptive Optics (WFAO) systems play a pivotal role in enhancing the imaging and spectroscopic capabilities of astronomical telescopes. In the context of MCAO, with MAVIS (Multi-conjugate Adaptive Optics Assisted Visible Imager and Spectrograph) as a representative example, the careful selection of an appropriate NGS (Natural Guide Star) asterism, consisting of natural guide stars within the instrument's field of view, is crucial. Here we present our solution to the problem, which was developed as an addition to the TIPTOP simulation framework. Since our goal is to provide astronomers an effective tool for observation planning, we did focus on the performance of our implementation, which greatly benefits from GPU availability, to compute the result within seconds.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Fabio Rossi, Guido Agapito, Cédric Plantet, Benoît Neichel, and François Rigaut "Efficient asterism selection for wide field adaptive optics systems with TIPTOP", Proc. SPIE 13097, Adaptive Optics Systems IX, 130976H (27 August 2024); https://doi.org/10.1117/12.3020159
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KEYWORDS
Adaptive optics

Stars

Neural networks

Computer simulations

Equipment

Atmospheric modeling

Device simulation

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