Physics – Optics
Scientific paper
Apr 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993apopt..32.1720b&link_type=abstract
Applied Optics (ISSN 0003-6935), vol. 32, no. 10, p. 1720-1727.
Physics
Optics
4
Aberration, Hubble Space Telescope, Neural Nets, Spaceborne Astronomy, Spaceborne Photography, Adaptive Optics, Distortion, Image Processing, Iterative Solution, Mirrors
Scientific paper
An artificial-neural-network method, first developed for the measurement and control of atmospheric phase distortion, using stellar images, was used to estimate the optical aberration of the Hubble Space Telescope. A total of 26 estimates of distortion was obtained from 23 stellar images acquired at several secondary-mirror axial positions. The results were expressed as coefficients of eight orthogonal Zernike polynomials: focus through third-order spherical. For all modes other than spherical the measured aberration was small. The average spherical aberration of the estimates was -0.299 micron rms, which is in good agreement with predictions obtained when iterative phase-retrieval algorithms were used.
Barrett Todd K.
Sandler David G.
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