High-resolution spatiotemporal reconstruction of complex optical fields enables direct testing of turbulence statistics

Theoretical descriptions of optical propagation through atmospheric turbulence rest on the assumption that complex phase fluctuations follow Gaussian statistics. Testing this hypothesis requires direct comparison between measured coherence and its Gaussian-theory prediction, which in turn demands reconstruction of the complete complex field–amplitude and phase–at spatiotemporal resolutions finer than the turbulence correlation scales, a capability beyond the reach of phase-only methods. Here we reconstruct such fields at kilohertz rates through real optical turbulence using binary amplitude modulation with Hadamard coded apertures, imposing no statistical prior on the phase distribution. Applied to 24 controlled turbulence conditions ( \(2.8 \lesssim D/r_0 \lesssim 9.7\) ), the platform enables direct comparison between measured coherence and its Gaussian-theory prediction, revealing systematic departures that grow with turbulence strength in the weak-scintillation regime—where the Gaussian assumption is expected to hold. These departures extend non-Gaussian behavior previously documented in angle-of-arrival statistics to the full spatial coherence structure, and imply that Gaussian-derived coherence estimates systematically underestimate the coherence radius—a quantity that governs fiber-coupling efficiency, coherent detection performance, and turbulence profiling accuracy in ground-layer optical propagation.

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Publication Details

Journal
Scientific Reports
Published
2026-09-05
DOI
https://doi.org/10.1038/s41598-026-68872-1
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

High-resolution spatiotemporal reconstruction of complex optical fields enables direct testing of turbulence statistics

Nelson Díaz, Pablo Scherz, Jorge Tapía, Esteban Vera et al.
Scientific Reports
Optical Wireless Communication Technologies
article

High-resolution spatiotemporal reconstruction of complex optical fields enables direct testing of turbulence statistics

Nelson Díaz, Pablo Scherz, Jorge Tapía, Esteban Vera, Eduardo Peters, Darı́o G. Pérez, Bastián Romero
article en

Abstract

Theoretical descriptions of optical propagation through atmospheric turbulence rest on the assumption that complex phase fluctuations follow Gaussian statistics. Testing this hypothesis requires direct comparison between measured coherence and its Gaussian-theory prediction, which in turn demands reconstruction of the complete complex field–amplitude and phase–at spatiotemporal resolutions finer than the turbulence correlation scales, a capability beyond the reach of phase-only methods. Here we reconstruct such fields at kilohertz rates through real optical turbulence using binary amplitude modulation with Hadamard coded apertures, imposing no statistical prior on the phase distribution. Applied to 24 controlled turbulence conditions ( \(2.8 \lesssim D/r_0 \lesssim 9.7\) ), the platform enables direct comparison between measured coherence and its Gaussian-theory prediction, revealing systematic departures that grow with turbulence strength in the weak-scintillation regime—where the Gaussian assumption is expected to hold. These departures extend non-Gaussian behavior previously documented in angle-of-arrival statistics to the full spatial coherence structure, and imply that Gaussian-derived coherence estimates systematically underestimate the coherence radius—a quantity that governs fiber-coupling efficiency, coherent detection performance, and turbulence profiling accuracy in ground-layer optical propagation.

Scientific Reports
Pontificial Catholic University of Valparaiso (CL), Federico Santa María Technical University (CL)
Universidad Técnica Federico Santa María, Pontificia Universidad Católica de Valparaíso, Agencia Nacional de Investigación y Desarrollo, Fondo Nacional de Desarrollo Científico y Tecnológico
Openalex Percentile: Top 19%
Optical Wireless Communication Technologies
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