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    Pyramid wavefront sensing in the presence of thick spiders (2019)

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    Type of Content
    Conference Contributions - Published
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    http://hdl.handle.net/10092/17621
    
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    • Engineering: Journal Articles [1536]
    Authors
    Engler B
    Weddell S
    Miska LL
    Christoph V
    Clare R
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    Abstract

    One of the challenges faced by the adaptive optics systems on extremely large telescopes, such as the European Extremely Large Telescope (EELT), is the pupil segmentation caused by the secondary mirror support structure (spider). We introduce a sensitivity metric to evaluate the sensitivity of the pyramid wavefront sensor to segment piston and propose a hybrid control method where both modulated and unmodulated pyramid wavefront sensor measurements are used. The modulated measurements correct the bulk of the atmospheric turbulence whilst the unmodulated measurements are used to correct the residual segment piston errors. Our hybrid approach provides a 5.6% improvement in Strehl under poor seeing (r0 =10 cm ) and 2.7% improvement under good seeing conditions (r0 =20 cm).

    Citation
    Engler B, Weddell S, Miska LL, Christoph V, Clare R (2019). Pyramid wavefront sensing in the presence of thick spiders. Quebec City, Canada: Adaptive Optics for Extremely Large Telescopes 6. 09/06/2019-14/06/2019. http://ao4elt6.copl.ulaval.ca/proceedings.html.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    wavefront sensing; adaptive optics; pyramid wavefront sensor; EELT; petaling; segment piston
    ANZSRC Fields of Research
    02 - Physical Sciences::0201 - Astronomical and Space Sciences::020102 - Astronomical and Space Instrumentation
    09 - Engineering::0906 - Electrical and Electronic Engineering::090605 - Photodetectors, Optical Sensors and Solar Cells
    09 - Engineering::0906 - Electrical and Electronic Engineering::090606 - Photonics and Electro-Optical Engineering (excl. Communications)
    09 - Engineering::0906 - Electrical and Electronic Engineering::090602 - Control Systems, Robotics and Automation

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