14 July 2008 High order test bench for extreme adaptive optics system optimization
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High-contrast imagers dedicated to the search for extrasolar planets are currently being developed for the VLT (SPHERE) and Gemini (GPI) observatories. A vital part of such a high-contrast imager is the extreme adaptive optics (XAO) system that very efficiently removes effects of atmospheric turbulence and instrument aberrations. The high order test bench (HOT) implements an XAO system under realistic telescope conditions reproduced by star and turbulence generators. New technological developments (32x32 actuator micro deformable mirror, read-noise free electron multiplying CCD60, SPARTA real time computer) are used to study and compare two potential XAO wave front sensors: The Pyramid- and the Shack-Hartmann wave front sensors. We will describe the overall design of HOT including the sub-systems. We will present the closed loop study results of the behavior of the Shack-Hartmann wave front sensor in terms of linearity, sensitivity to calibration errors, performance and other specific issues.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emmanuel Aller-Carpentier, Emmanuel Aller-Carpentier, Markus Kasper, Markus Kasper, Patrice Martinez, Patrice Martinez, Elise Vernet, Elise Vernet, Enrico Fedrigo, Enrico Fedrigo, Christian Soenke, Christian Soenke, Sébastien Tordo, Sébastien Tordo, Norbert Hubin, Norbert Hubin, Christophe Verinaud, Christophe Verinaud, Simone Esposito, Simone Esposito, Enrico Pinna, Enrico Pinna, Alfio Puglisi, Alfio Puglisi, Andrea Tozzi, Andrea Tozzi, Fernando Quiros, Fernando Quiros, Alastair G. Basden, Alastair G. Basden, Stephen J. Goodsell, Stephen J. Goodsell, Gordon D. Love, Gordon D. Love, Richard M. Myers, Richard M. Myers, } "High order test bench for extreme adaptive optics system optimization", Proc. SPIE 7015, Adaptive Optics Systems, 70153Z (14 July 2008); doi: 10.1117/12.788710; https://doi.org/10.1117/12.788710

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