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Sub-Rayleigh characterization of a binary source by spatially demultiplexed coherent detection
Optics Express
|November 23, 2021
Summary
This study presents a super-resolution imaging technique using coherent detection to characterize thermal sources below the Rayleigh limit. The method accurately determines source separation, even with high noise, by optimizing data usage.
Area of Science:
- Quantum optics
- Optical imaging
- Statistical physics
Background:
- Characterizing composite thermal sources is challenging, especially below the classical diffraction limit (Rayleigh limit).
- Coherent detection offers potential for enhanced measurement precision in optical systems.
Purpose of the Study:
- To theoretically investigate coherent detection for characterizing thermal sources below the Rayleigh limit.
- To develop a super-resolution algorithm for estimating parameters of two-dimensional symmetric binary sources.
Main Methods:
- Theoretical derivation of the relationship between source intensity distribution and field amplitude covariance matrix.
- Development and Monte Carlo simulation-based verification of a parameter estimation algorithm.
- Implementation of simultaneous coherent detection on orthogonal spatial modes.
Main Results:
- A general relation connecting source properties to image-plane measurements was derived.
- The devised algorithm achieves super-resolution, determining source separation down to SNR^-1/2.
- The algorithm demonstrates near-optimal data utilization in the sub-Rayleigh regime.
Conclusions:
- Coherent detection is a viable method for sub-Rayleigh characterization of composite thermal sources.
- The developed algorithm provides significant super-resolving capability, especially at high signal-to-noise ratios (SNR).
- This approach offers a powerful tool for high-precision optical measurements beyond classical limits.
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