Poster + Presentation
13 December 2020 Phasing segmented mirror telescopes with adaptive optics corrected images
Author Affiliations +
Conference Poster
Abstract
Residual phasing errors from segmented mirror telescopes can significantly inhibit the performance of an adaptive optics (AO) system. One approach to quantify these errors utilizes the imaging capabilities of a telescope’s instrument suite; quantification requires images that have observed the primary, therefore these images should be on-sky and AO-corrected in the absence of a source that views the primary. An image-based phase estimation technique that can potentially make this quantification is Phase Diversity, whereby focussed/defocussed images of a bright star are compared with models to estimate phase. Traditional use of this technique with on-sky images can be difficult due to atmospheric evolution between image pairs. This is further compounded due to both NCPA and the partial AO correction of phasing errors persisting in on-sky images. Here we propose a technique that can mitigate the atmospheric effects, estimate the NCPA and assess phasing errors under partial AO correction.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masen P. Lamb, Carlos Correia, Suresh Sivanandam, and Jacques Delorme "Phasing segmented mirror telescopes with adaptive optics corrected images", Proc. SPIE 11448, Adaptive Optics Systems VII, 1144867 (13 December 2020); https://doi.org/10.1117/12.2562317
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KEYWORDS
Adaptive optics

Telescopes

Image segmentation

Segmented mirrors

Error analysis

Calibration

Image analysis

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