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Published on: January 28, 2019
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Optical phase under deep turbulence conditions
Summary
The Markov approximation for waves in random media predicts normal optical field distributions. This study uses it to analyze phase statistics and model discontinuous phase samples with optical vortices.
Area of Science:
- Optics
- Wave propagation
- Statistical physics
Background:
- The Markov approximation is key for modeling wave propagation in random media.
- Strong scintillation implies normal probability distributions for optical fields.
Purpose of the Study:
- To calculate phase statistics of optical fields using the Markov approximation.
- To develop and test a Monte Carlo model for phase samples with multiple dislocations.
Main Methods:
- Utilizing the coherence function from the Markov approximation.
- Calculating phase statistics accounting for multiple phase dislocations.
- Developing a Monte Carlo model for discontinuous phase samples.
Main Results:
- Phase statistics were calculated, considering multiple phase dislocations.
- A Monte Carlo model was successfully developed and tested.
- The model generates discontinuous phase samples containing optical vortices.
Conclusions:
- The developed model accurately generates phase samples consistent with theoretical predictions.
- This approach provides a novel method for simulating complex optical fields with dislocations.
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