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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.02978 |
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| _version_ | 1866911827393249280 |
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| author | Berdja, A. Hadjara, M. Carbillet, M. Bernardi, R. L. Petrov, R. G. |
| author_facet | Berdja, A. Hadjara, M. Carbillet, M. Bernardi, R. L. Petrov, R. G. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_02978 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Quasi-Random Frequency Sampling for Optical Turbulence Simulations Berdja, A. Hadjara, M. Carbillet, M. Bernardi, R. L. Petrov, R. G. Instrumentation and Methods for Astrophysics 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. |
| title | Quasi-Random Frequency Sampling for Optical Turbulence Simulations |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2404.02978 |