Presentation + Paper
29 August 2022 Phasing the segmented Giant Magellan Telescope: progress in testbeds and prototypes
Author Affiliations +
Abstract
One of the greatest technical challenges of the doubly-segmented Giant Magellan Telescope is the accurate and stable control of segment piston in the diffraction limited observation mode. To address this challenge, in collaboration with the University of Arizona, Smithsonian Astrophysical Observatory and the Istituto Nazionale di Astrofisica, GMTO is executing a project to optimize and validate segment piston control strategies and algorithms using a pair of testbeds. The testbeds provide disturbances to simulate atmospheric turbulence and differential atmospheric dispersion. In addition to the phasing demonstration, the testbeds offer the opportunity to validate hardware designs for the Acquisition & Guiding Wavefront Sensor (AGWS) and the Natural Guide Star Wavefront Sensor (NGWS) and to mitigate their fabrication and assembly risks. Significant progress is reported in the design of the AGWS and NGWS prototypes as well as preliminary test results from the testbeds.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Demers, Antonin Bouchez, Fernando Quiros-Pacheco, Patricio Schurter, Breann Sitarski, Marcos A. van Dam, Dan Catropa, Jan Kansky, Brian McLeod, Stuart McMuldroch, Bill Podgorski, Laird Close, Victor Gasho, Sebastiaan Haffert, Alex Hedglen, Maggie Kautz, Jared Males, Guido Agapito, Nicolò Azzaroli, Luca Carbonaro, Anne-Laure Cheffot, Simone Esposito, Tommaso Lapucci, Enrico Pinna, Cédric Plantet, Alfio Puglisi, Fabio Rossi, Guillermo Gonzalez, and Bijan Nemati "Phasing the segmented Giant Magellan Telescope: progress in testbeds and prototypes", Proc. SPIE 12185, Adaptive Optics Systems VIII, 1218518 (29 August 2022); https://doi.org/10.1117/12.2630144
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KEYWORDS
Prototyping

Wavefronts

Wavefront sensors

Telescopes

Sensors

Adaptive optics

Image segmentation

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