Abstract
Part II of this two-part paper uses wave-optics simulations to look at the Monte Carlo averages associated with turbulence and time-dependent thermal blooming (TDTB). The goal is to investigate turbulence thermal blooming interaction (TTBI). At wavelengths near 1 μm, TTBI increases the amount of constructive and destructive interference (i.e., scintillation) that results from high-power laser beam propagation through distributed-volume atmospheric aberrations. As a result, we use the spherical-wave Rytov number, the number of wind-clearing periods, and the distortion number to gauge the strength of the simulated turbulence and TDTB. These parameters simply greatly given propagation paths with constant atmospheric conditions. In addition, we use the log-amplitude variance and the branch-point density to quantify the effects of TTBI. These metrics result from a point-source beacon being backpropagated from the target plane to the source plane through the simulated turbulence and TDTB. Overall, the results show that the log-amplitude variance and branch-point density increase significantly due to TTBI. This outcome poses a major problem for beam-control systems that perform phase compensation.
Highlights
At wavelengths near 1 μm, the effects of turbulence are often more dominant than the effects of thermal blooming
This paper investigates turbulence thermal blooming interaction (TTBI) in the presence of turbulence and time-dependent thermal blooming (TDTB). It does so via the Monte Carlo averages associated with the log-amplitude variance and the branch-point density. These metrics result from a point-source beacon being backpropagated from the target plane to the source plane through the simulated turbulence and TDTB
We quickly review the details associated with the split-step beam propagation method (BPM), spherical-wave Rytov number, TDTB, number of wind-clearing periods, distortion number, and parameters of interest
Summary
At wavelengths near 1 μm, the effects of turbulence are often more dominant than the effects of thermal blooming. The following is Part II of a two-part paper on TTBI performed using AOTools and WaveProp— both of which are MATLAB toolboxes written by the Optical Sciences Company.[34,35,36,37,38] In turn, this paper investigates TTBI in the presence of turbulence and time-dependent thermal blooming (TDTB) It does so via the Monte Carlo averages associated with the log-amplitude variance and the branch-point density. Before moving on to the section, it is worth mentioning that this paper builds upon the preliminary analysis presented by Murphy and Spencer in a recent conference proceeding.[46] In particular, this paper develops time-dependent simulations with increased computational fidelity to clearly show an increase in both the log-amplitude variance and branch-point density due to TTBI These results serve as a novel contribution to the atmospheric propagation research community
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