From the 2 of 5 linked papers with an AI index.
5 papers
Testing of machine learning wavefront sensing algorithms on the Tiny Observatory for Telescope Optimization (TOTO) testbed
Sanchit Sabhlok, Solvay A. Blomquist, Maggie Y +16
The paper evaluates a machine‑learning based wavefront sensing algorithm on the Tiny Observatory for Telescope Optimization (TOTO) testbed, comparing its low‑order Zernike coeffici…
Tiny Observatory for Telescope Optimization (TOTO): testing algorithms for autonomous on-orbit alignment for space-based telescope systems
Solvay A. Blomquist, Sanchit Sabhlok, Hyukmo Kang +11
The paper describes the Tiny Observatory for Telescope Optimization (TOTO), an optical testbed used to evaluate autonomous alignment algorithms—Stochastic Parallel Gradient Descent…
The Lazuli Space Observatory: Architecture & Capabilities
Arpita Roy, Stuart Feldman, Pete Klupar +51
The Lazuli Space Observatory is a 3-meter aperture astronomical facility designed for rapid-response observations and precision astrophysics across visible to near-infrared wavelen…
Optical design and polarimetric performance of a SmallSat UV polarimeter to study interstellar dust: PUFFINS
Ramya M Anche, Hyukmo Kang, Kyle Van Gorkom +19
The Polarimetry in the Ultraviolet to Find Features in INterStellar dust (PUFFINS) is a SmallSat mission concept designed to obtain ultraviolet (UV) spectropolarimetric observation…
Stages of commissioning alignment for three-mirror anastigmat (TMA) telescopes
Solvay Blomquist, Heejoo Choi, Hyukmo Kang +7
Reliable, autonomously, deployment of telescopes enables a wide range of possible science cases. In this paper, we present a method for multi-stage telescope alignment with a simpl…