We present an implementation of tomography using MATLAB, specifically focusing on the Learn & Apply technique. The primary objective of our study is to assess the level of reconstruction errors encountered in tomography. We compare the results obtained from our implementation with the Object-Oriented, Matlab and Adaptive Optics (OOMAO) code, aiming to quantify the discrepancies between the two approaches. Furthermore, we investigate the impact of laser guide star (LGS) altitude variations on the reconstruction errors. By simulating tomographic reconstructions under different LGS altitudes, we analyze the variations in the error values and their relation to the atmospheric conditions. Additionally, we examine the influence of LGS divergence angle on the reconstruction errors, considering various divergence angles in our simulations. Afterwards, we explore the effect of increasing the number of layers used in the learning process on the simulation time.
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.