High-resolution imaging at the Multiple Mirror Telescope using adaptive optics

Michael Lloyd-Hart; Peter L. Wizinowich; David M. Wittman; D'nardo Colucci; Brian A. McLeod; Richard G. Dekany; James Roger P. Angel; Donald W. McCarthy Jr.; Marcia J. Rieke; Mark J. McCaughrean

doi:10.1117/12.137911

1 August 1992 High resolution imaging at the Multiple Mirror Telescope using adaptive optics

Michael Lloyd-Hart, Peter L. Wizinowich, David M. Wittman, D'nardo Colucci, Brian A. McLeod, Richard G. Dekany, James Roger P. Angel, Donald W. McCarthy Jr., Marcia J. Rieke, Mark J. McCaughrean

Author Affiliations +

Proceedings Volume 1688, Atmospheric Propagation and Remote Sensing; (1992) https://doi.org/10.1117/12.137911
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

The next generation of 6 to 10 m class telescopes is being planned to include the capability for adaptive wavefront correction. The MMT with its 7-m baseline, provides an ideal testbed for novel techniques of adaptive optics. Using a new instrument based on a six-segment adaptive mirror, a number of wavefront sensing algorithms including an artificial neural network have been implemented to demonstrate the high resolution imaging capability of the telescope. These algorithms rely on a freely available property of starlight, namely, its coherence over large scales, to sense directly atmospheric and instrumental phase errors across large distances. In this paper, we report results obtained so far with resolutions between 0.08 and 0.3 arcsec at 2.2-micron wavelength. We also show data indicating that at the level of 0.1-arcsec imaging in good seeing, the isoplanatic patch at this wavelength is at least 20 arcsec across.

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Michael Lloyd-Hart, Peter L. Wizinowich, David M. Wittman, D'nardo Colucci, Brian A. McLeod, Richard G. Dekany, James Roger P. Angel, Donald W. McCarthy Jr., Marcia J. Rieke, and Mark J. McCaughrean "High resolution imaging at the Multiple Mirror Telescope using adaptive optics", Proc. SPIE 1688, Atmospheric Propagation and Remote Sensing, (1 August 1992); https://doi.org/10.1117/12.137911

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