In Solar Adaptive Optics (AO), it is common to work with a wide Field of View (FoV), which necessitates special control techniques to enhance system performance. Ground-Layer Adaptive Optics (GLAO) configurations lack sufficient degrees of freedom to correct altitude layers individually, resulting in an averaged correction across the entire FoV. In this work, we introduce alternative, intelligent control schemes to explore options for overcoming current limitations in GLAO.
Phase Diversity (PD) is a technique widely used to measure and compensate for Non-Common Path Aberrations (NCPA) in optical systems. Beyond its traditional applications, PD has found further uses in solar astrophysics, where it enhances image quality by processing multiple images to correct residual aberrations. In this work, we introduce a simulator designed to facilitate the development of PD algorithms, aimed at enabling researchers to produce higher-performance solutions of these algorithms.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.