Stochastic Parallel Gradient Descent (SPGD) is widely used for model-free optical alignment because it produces an implicit descent signal when no explicit gradient is available. We use SPGD in the third of four sequential stages (blind-scan, model-based fit, SPGD, focus-diverse phase retrieval) of the commissioning pi...
Ryan Luu, Solvay A. Blomquist, Heejoo Choi et al.· Optical Manufacturing and Te...· 0 citations
Large-aperture space telescopes are fundamentally constrained by launch vehicle fairing volume, motivating the development of deployable inflatable reflectors that can be packaged compactly and inflated on orbit. While inflatable membrane optics offer dramatic gains in areal density and packaging efficiency, their long...
A. Chandra, Zac Chen, Changgon Kim et al.· Astronomical Telescopes + In...· 0 citations
This work considers a Machine Learning model trained originally on simulated data, and then augmented with real focus diversity data from the Tiny Observatory for Telescope Optimization (TOTO) testbed at the University of Arizona, and compares the wavefront sensing performance of the Machine Learning model with known t...
Sanchit Sabhlok, Solvay A. Blomquist, M. Kautz et al.· Astronomical Telescopes + In...· 1 citation
Optical alignment of an astronomical three-mirror anastigmat (TMA) telescope is a challenging endeavor where misalignments may degrade image quality beyond what is possible to correct using simple wavefront measurement techniques. Traditionally, the primary and secondary mirrors of large-scale telescopes are aligned wi...
Solvay A. Blomquist, Heejoo Choi, Hyukmo Kang et al.· Journal of Astronomical Tele...· 0 citations
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