arXiv · 2404.02978
Quasi-Random Frequency Sampling for Optical Turbulence Simulations
Abstract
Optical turbulence modelling and simulation are crucial for developing astronomical ground-based instruments, laser communication, laser metrology, or any application where light propagates through a turbulent medium. In the context of spectrum-based optical turbulence Monte-Carlo simulations, we present an alternative approach to the methods based on the Fast Fourier Transform (FFT) using a quasi-random frequency sampling heuristic. This approach provides complete control over the spectral information expressed in the simulated measurable, without the drawbacks encountered with FFT-based methods such as high-frequency aliasing, low-frequency under-sampling, and static sampling statistics. The method's heuristics, implementation, and an application example from the study of differential piston fluctuations are discussed.
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A. Berdja, M. Hadjara, M. Carbillet, R. L. Bernardi, R. G. Petrov. 2024-04-03. Quasi-Random Frequency Sampling for Optical Turbulence Simulations. https://arxiv.org/abs/2404.02978
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