Dynamic mode decomposition for aero-optic wavefront characterization
نویسندگان
چکیده
Aero-optical beam control relies on the development of low-latency forecasting techniques to quickly predict wavefronts aberrated by turbulent boundary layer around an airborne optical system, and its study applies a multidomain need from astronomy microscopy for high-fidelity laser propagation. We leverage capabilities dynamic mode decomposition (DMD) — equation-free, data-driven method identifying coherent flow structures their associated spatiotemporal dynamics estimate future state wavefront phase aberrations feed into adaptive optic loop. specifically optimized DMD (opt-DMD) algorithm subset Airborne Aero-Optics Laboratory-Transonic experimental dataset, characterizing 23 propagation directions via underlying DMD. Critically, we show that opt-DMD produces optimally debiased eigenvalue spectrum with imaginary eigenvalues, allowing arbitrarily long produce robust prediction, while exact loses structural information due modal decay rates.
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ژورنال
عنوان ژورنال: Optical Engineering
سال: 2022
ISSN: ['1560-2303', '0091-3286']
DOI: https://doi.org/10.1117/1.oe.61.1.013105