Prediction of the off-axis point spread function for large field of view astronomical adaptive optics images

Mathieu Aubailly; Michael C. Roggemann; Timothy J. Schulz

doi:10.1117/12.603766

24 May 2005 Prediction of the off-axis point spread function for large field of view astronomical adaptive optics images

Mathieu Aubailly, Michael C. Roggemann, Timothy J. Schulz

Author Affiliations +

Proceedings Volume 5814, Enabling Photonics Technologies for Defense, Security, and Aerospace Applications; (2005) https://doi.org/10.1117/12.603766
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Atmospheric turbulence corrupts astronomical images formed by ground-based telescopes. Adaptive optics (AO) systems allow the effects of turbulence-induced aberrations to be reduced for a narrow field of view (FOV) corresponding approximately to the isoplanatic angle θ₀. For field angles larger than θ₀, the point spread function (PSF) gradually degrades as the field angle increases. Knowledge of the space-varying PSF is essential for image reconstruction. In this paper, we present a technique to predict the PSF as function of the field angle. The results are validated by mean of simulations. The predicted PSF is compared to the simulated PSF and we obtain a mean square (MS) error of 4.3% between the predicted and the simulated PSF in the worse case.

Citation Download Citation

Mathieu Aubailly, Michael C. Roggemann, and Timothy J. Schulz "Prediction of the off-axis point spread function for large field of view astronomical adaptive optics images", Proc. SPIE 5814, Enabling Photonics Technologies for Defense, Security, and Aerospace Applications, (24 May 2005); https://doi.org/10.1117/12.603766

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available