Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

A combined approach to HST wave-front distortion analysis

Not Accessible

Your library or personal account may give you access

Abstract

Stellar images taken by the Hubble Space Telescope (HST) at various focus positions have been analysed to estimate the wave-front distortion. Rather than using a single algorithm, we found that better results were obtained by combining the advantages of different algorithms, which also permitted us to avoid some of their pitfalls. Each algorithm was thoroughly tested on computer simulations and its performance was evaluated. Gershberg-Saxton iterations were used to recover the pupil geometry appropriate to each image. Error minimization algorithms were found to be more efficient to recover low-order Zemike aberration terms and were used to estimate defocus and spherical aberration. Phase retrieval techniques including a modification of the Misell algorithm were used to refine our wave-front error estimate. These algorithms are described in details in a JPL contract report [1], We summarize here the results obtained so far.

© 1991 Optical Society of America

PDF Article
More Like This
HST Aberrations and Alignment Determined by Phase Retrieval Algorithms

J.R. Fienup
MB3 Space Optics for Astrophysics and Earth and Planetary Remote Sensing (SO) 1991

HST Primary Mirror Characterization

L. Furey, T. Dubos, D. Hansen, and J. Samuels-Schwartz
MB1 Space Optics for Astrophysics and Earth and Planetary Remote Sensing (SO) 1991

The HST Fine Guidance Sensor Transfer Function and its Impact on Telescope Alignment and Guidance

C. Ftaclas, R. Basedow, A. Nonnenmacher, F. Weindling, D. Story, and E. Nelan
MA4 Space Optics for Astrophysics and Earth and Planetary Remote Sensing (SO) 1991

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.