Reconstruction error analysis in LGS tomography for adaptive optics applications

S. G. Han; J. Y. Joo; S. Y. Ju; J. H. Lee; T. Butterley

doi:10.1117/12.2687115

27 November 2023 Reconstruction error analysis in LGS tomography for adaptive optics applications

S. G. Han, J. Y. Joo, S. Y. Ju, J. H. Lee, T. Butterley

Proceedings Volume 12767, Optoelectronic Imaging and Multimedia Technology X; 127670J (2023) https://doi.org/10.1117/12.2687115
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

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.

Citation Download Citation

S. G. Han, J. Y. Joo, S. Y. Ju, J. H. Lee, and T. Butterley "Reconstruction error analysis in LGS tomography for adaptive optics applications", Proc. SPIE 12767, Optoelectronic Imaging and Multimedia Technology X, 127670J (27 November 2023); https://doi.org/10.1117/12.2687115

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