Obstacle inversion based on the self-healing property of structured light

Area of Science:

• Optics and Photonics
• Wave Phenomena

Background:

• Structured light exhibits self-healing, recovering intensity distribution after partial obstruction.
• Perfect vortex beams (PVB) are a type of structured light with unique propagation characteristics.

Purpose of the Study:

• To investigate the self-healing properties of perfect vortex beams (PVB).
• To develop a quantitative metric for describing the self-healing of structured light.
• To propose an optical application model for obstacle inversion using PVB self-healing.

Main Methods:

• Investigated the impact of various obstacles on PVB propagation.
• Developed a novel structural metric for quantifying self-healing.
• Explored self-healing mechanisms using wave-particle duality.
• Integrated convolutional neural networks (CNNs) for obstacle inversion.

Main Results:

• The self-healing process of PVB involves distinct stages for obstructed and unstructured regions.
• A new metric precisely quantifies structured light self-healing.
• An optical model accurately inverts obstacle size and position.
• CNN integration enabled robust obstacle inversion under oceanic turbulence.

Conclusions:

• PVB self-healing is a complex process with distinct recovery phases.
• The proposed metric offers a versatile tool for analyzing structured light self-healing.
• The obstacle inversion model shows promise for practical applications in imaging and detection.
• This work advances the understanding and application of self-healing structured light.