Andrew E. Lowman
University of Arizona
18 Papers
203 Citations
Andrew E. Lowman is an academic researcher from University of Arizona. The author has contributed to research in topics: Interferometry & Primary mirror. The author has an hindex of 8, co-authored 18 publications.
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Papers
Comparison of three videokeratoscopes in measurement of toric test surfaces.
John E. Greivenkamp,Mark D. Mellinger,Robert W. Snyder,Jim Schwiegerling,Andrew E. Lowman,Joseph M. Miller +5 more
TL;DR: Under ideal alignment conditions, the Computed Anatomy TMS-1 is more accurate at detecting astigmatism than the EyeSys Laboratories Corneal Analysis System and the Visioptic EH-270, and this study found systematic performance differences among the three machines.
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Modulation transfer function measurement of sparse-array sensors using a self-calibrating fringe pattern.
TL;DR: A simple method for the measurement of the pixel modulation transfer function (MTF) of sparse-array (extended MTF) sensors has been developed using a phase-shifting Twyman-Green interferometer to generate a series of single spatial-frequency fringe patterns incident on the sensor.
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Interferometer Errors Due to the Presence of Fringes
TL;DR: In this article, phase-shifting interferometry permits analysis of complex interferograms, however, the measurement accuracy is reduced as the number of fringes is increased, and the wavefront from a defocused spherical surface is used to demonstrate this degradation for several different transmission reference objectives.
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Sub‐Nyquist interferometry: implementation and measurement capability
TL;DR: Sub-Nyquist interferometry (SNI) as discussed by the authors provides a method for measuring wavefronts with large departures from a reference sphere, such as those encountered when testing steep aspheric surfaces.
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Modeling an interferometer for non-null testing of aspheres
Andrew E. Lowman,John E. Greivenkamp +1 more
- 08 Sep 1995
TL;DR: In this paper, a defocused sphere was used to generate a non-null wavefront with 100(λ) of departure at the surface, and the reverse optimization results matched the experimental data to better than (λ) /4 PV.
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