Presentation + Paper
30 September 2024 Alignment of three mirror anastigmat telescopes using a multilayered stochastic parallel gradient descent algorithm
Author Affiliations +
Abstract
When a telescope doesn’t reach a reasonable point spread function on the detector or detectable wavefront quality after initial assembly, a coarse phase alignment on-sky is crucial. Before utilizing a closed loop adaptive optics system, the observatory needs a strategy to actively align the telescope sufficiently for fine wavefront sensing (WFS). This paper presents a method of early-stage alignment using a stochastic parallel-gradient-descent (SPGD) algorithm which performs random perturbations to the optics of a three mirror anastigmat telescope design. The SPGD algorithm will drive the telescope until the wavefront error is below the acceptable range of the fine adaptive optics system to hand the telescope over. The focused spot size over the field of view is adopted as a feed parameter to SPGD algorithm and wavefront peak-to-valley error values are monitored to directly compare our mechanical capabilities to our alignment goal of diffraction limited imaging and fine wavefront sensing.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Solvay A. Blomquist, Heejoo Choi, Hyukmo Kang, Kevin Derby, Pierre Nicolas, Ewan Douglas, and Daewook Kim "Alignment of three mirror anastigmat telescopes using a multilayered stochastic parallel gradient descent algorithm", Proc. SPIE 13134, Optical Manufacturing and Testing 2024, 131340F (30 September 2024); https://doi.org/10.1117/12.3028105
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KEYWORDS
Telescopes

Mirrors

Stochastic processes

Algorithm development

Wavefront errors

Model based design

Optical alignment

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