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5 - 10 July 2026
Copenhagen, Denmark
Conference 14145 > Paper 14145-84
Paper 14145-84

Tiny Observatory for Telescope Optimization (TOTO): testing algorithms for autonomous on-orbit alignment for space-based telescope systems

9 July 2026 • 17:10 - 17:30 CEST | Room B4-M3

Abstract

The Tiny Observatory for Telescope Optimization (TOTO) is an optical testbed designed to evaluate the efficacy of autonomously driven alignment algorithms for space-based telescope systems. For space-based missions, active control of the telescope on-orbit offers potential to relax passive alignment requirements and reduce on-ground verification activity. TOTO is used to evaluate and verify simulation work of two primary alignment algorithms, Stochastic Parallel Gradient Descent (SPGD) and focus-diverse phase retrieval. Previous simulation work has confirmed that by using SPGD for coarse alignment followed by focus-diverse phase retrieval for fine alignment, we can reach diffraction-limited performance on-orbit. This paper presents the results of the autonomous alignment algorithm of a TMA using TOTO. We report the current status of TOTO as well as preliminary results from SPGD and phase retrieval on the testbed using monochromatic light source to simulate a natural guide star.

Presenter

Wyant College of Optical Sciences (United States)
Solvay is a 3rd year PhD student at the University of Arizona College of Optical Sciences. She works in the Large Optics Fabrication and Testing (LOFT) group and the University of Arizona Space Astrophysics Lab (UASAL) mainly focusing on active correction algorithms that can be used to autonomously align large telescopes operated in remote locations. Her interests lie in astronomical instrumentation and simulating/testing alignment strategies that can aid in reducing overall cost and time of space-based missions.
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Wyant College of Optical Sciences (United States)
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Corey Fucetola
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