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Engineering and Optimization of Quasi-Nondiffracting Helicon-Like Beams With an Evolutionary Algorithm
Bryce Schroeder1,2, Zhen H Zhu1, Changliang Guo1
1Department of Biomedical Engineering, Stony Brook University, State University of New York, Stony Brook, NY 11794 USA.
IEEE Photonics Journal
|August 24, 2018
Summary
Researchers developed an evolutionary algorithm to optimize optical beams, creating quasi-nondiffracting, self-accelerating beams with confined profiles for advanced applications.
Area of Science:
- Optics and Photonics
- Computational Physics
Background:
- Nondiffracting beams resist intensity profile changes during propagation, enabling diverse scientific applications.
- The nonlocalized nature of these beams limits practical uses, necessitating profile optimization strategies.
Purpose of the Study:
- To introduce an evolutionary algorithmic framework for optical beam engineering.
- To experimentally realize quasi-nondiffracting, radially self-accelerating beams using this framework.
Main Methods:
- Development of an evolutionary algorithmic framework for beam optimization.
- Experimental validation in a high-resolution imaging system.
- Realization of a side-lobe-suppressed helicon-like beam.
Main Results:
- Demonstration of an optimized beam that largely maintains radial self-acceleration and non-diffraction properties in 3D space.
- Successful experimental validation of the evolutionary algorithmic framework.
- Creation of a tightly confined beam profile with suppressed side lobes.
Conclusions:
- The evolutionary algorithmic framework offers a novel approach for optical beam engineering.
- This method can be extended to optimize various types of optical beams for diverse applications.
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