First results of an on-line adaptive optics system with atmospheric wavefront sensing by an artificial neural network

M. Lloyd-Hart, P. Wlzinowich, B. Mcleod, D. Wittman, D. Colucci, R. Dekany, D. Mccarthy, J. R.P. Angel, D. Sandler

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

We report the first results from an adaptive optics system operating on-line at the telescope with the wavefront aberration sensed by a trained artificial neural network. Star images were formed at 2.2 μn wavelength by two coherently phased apertures of the Multiple Mirror Telescope (MMT), and analyzed by the neural net. The net derives wavefront parameters in a few milliseconds, and the system performance is fast enough that the aberration is nearly frozen during the time needed to make a correction. With the servo loop in operation, the corrected image shows significant power at the diffraction limit of 0″.1. We discuss some areas of scientific interest which will benefit from the application of adaptive wavefront correction.

Original languageEnglish (US)
Pages (from-to)L41-L44
JournalAstrophysical Journal
Volume390
Issue number1 PART 2
DOIs
StatePublished - Jan 1 1993

Keywords

  • Atmospheric effects
  • Infrared: General
  • Instrumentation: Interferometers
  • Techniques : Interferometric

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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