Advances in reconfigurable optical design, metrology, characterization, and data analysis

Dae Wook Kim, Greg A. Smith, Matt Dubin, Andrew Lowman, Chang Jin Oh, Henry Quach, Hyukmo Kang, Hyemin Yoo, Isaac Trumper, Logan Graves, Maham Aftab, Christian Davila-Peralta, Justin Hyatt, Heejoo Choi

Research output: Contribution to journalReview articlepeer-review

Abstract

Reconfigurable freeform optical systems greatly enhance imaging performance within non-symmetric, compact, and ergonomic form factors. In this paper, several advances improve design, testing, and monitoring of these systems. Specific enhancements include definition of polynomials for fast and efficient parameterizations of vector distributions in non-circular apertures and merit based function optimization. Deflectometry system improvements enable metrology for almost any conceivable optic shape and guide deterministic optical figuring process during the coarse grinding phase by including modulated infrared sources. As a demonstration of these improvements, parametric optimization is tested with the tomographic ionized-carbon mapping experiment, a reconfigurable optical system. Other case studies and demonstrations include metrology of a fast, f/1.26 convex optic, an Alvarez lens, and real-time monitoring of an array of independently-steerable hexagonal mirror segments as well as an induction formed surface and inflatable Mylar mirror.

Original languageEnglish (US)
Article number022003
JournalJPhys Photonics
Volume3
Issue number2
DOIs
StatePublished - Apr 2021

Keywords

  • Chebyshev polynomials
  • Deflectometry
  • Freeform
  • Inflatable telescope
  • Infrared metrology
  • Parametric optimization
  • Vector polynomials

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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