Paper
1 October 2009 Investigation of primary mirror segment's residual errors for the Thirty Meter Telescope
Author Affiliations +
Abstract
The primary mirror segment aberrations after shape corrections with warping harness have been identified as the single largest error term in the Thirty Meter Telescope (TMT) image quality error budget. In order to better understand the likely errors and how they will impact the telescope performance we have performed detailed simulations. We first generated unwarped primary mirror segment surface shapes that met TMT specifications. Then we used the predicted warping harness influence functions and a Shack-Hartmann wavefront sensor model to determine estimates for the 492 corrected segment surfaces that make up the TMT primary mirror. Surface and control parameters, as well as the number of subapertures were varied to explore the parameter space. The corrected segment shapes were then passed to an optical TMT model built using the Jet Propulsion Laboratory (JPL) developed Modeling and Analysis for Controlled Optical Systems (MACOS) ray-trace simulator. The generated exit pupil wavefront error maps provided RMS wavefront error and image-plane characteristics like the Normalized Point Source Sensitivity (PSSN). The results have been used to optimize the segment shape correction and wavefront sensor designs as well as provide input to the TMT systems engineering error budgets.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Byoung-Joon Seo, Carl Nissly, George Angeli, Doug MacMynowski, Norbert Sigrist, Mitchell Troy, and Eric Williams "Investigation of primary mirror segment's residual errors for the Thirty Meter Telescope", Proc. SPIE 7427, Optical Modeling and Performance Predictions IV, 74270F (1 October 2009); https://doi.org/10.1117/12.828046
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CITATIONS
Cited by 8 scholarly publications and 2 patents.
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KEYWORDS
Actuators

Wavefronts

Mirrors

Wavefront sensors

Thirty Meter Telescope

Image segmentation

Sensors

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