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19 September 2017 GPU-enhanced computational platform for performance evaluation of atmospheric optical systems (Conference Presentation)
Svetlana L. Lachinova, Mathieu Aubailly, Morris Maynard, Mikhail A. Vorontsov, Mark F. Spencer
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Proceedings Volume 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017; 104100T (2017) https://doi.org/10.1117/12.2277480
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States
Abstract
We present a user-friendly computational platform for numerical analysis and performance assessment of a wide range of optical systems for imaging and laser projection applications. The wave-optics-based software package, referred to as the Wave-Optics Joint Estimation Toolbox (WaveJET), exploits advantages of GPU/CUDA technologies and allows one to quickly and accurately simulate atmospheric turbulence effects on various systems using the combination of different computational techniques and algorithms for wavefront sensing and imaging. The WaveJET software also takes into account critical system engineering design constraints including system architecture, diffraction, turbulence propagation, adaptive optics control, and coherent/incoherent beam combining.
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Svetlana L. Lachinova, Mathieu Aubailly, Morris Maynard, Mikhail A. Vorontsov, and Mark F. Spencer "GPU-enhanced computational platform for performance evaluation of atmospheric optical systems (Conference Presentation)", Proc. SPIE 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 104100T (19 September 2017); https://doi.org/10.1117/12.2277480
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KEYWORDS
Imaging systems
Adaptive optics
Atmospheric optics
Optical imaging
Wavefront sensors
Computer simulations
Laser applications
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