Wavefront sensing method for diffraction optical system based on phase diversity
| Autor: | Dawei Wang, Di Yu, Jinnan Gong, Xiyang Zhi, Ruize Niu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Diffraction
Wavefront Materials science Image quality Aperture business.industry Physics::Optics Field of view 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics Diffraction efficiency 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials 010309 optics Optics 0103 physical sciences 0210 nano-technology business Global optimization Image restoration |
| Zdroj: | Infrared Physics & Technology. 102:102980 |
| ISSN: | 1350-4495 |
| DOI: | 10.1016/j.infrared.2019.102980 |
| Popis: | In this paper, we present a novel wavefront sensing method for diffraction optical system based on phase diversity. Based on the physical-imaging mechanism of diffractive optical system, the wavefront characteristics of the diffraction optical system are characterized by using diffraction efficiency. On this basis, a novel modified phase diversity (PD) wavefront sensing method is established based on the blocking idea. After that, the global optimization method of corresponding method based on particle swarm optimization algorithm is proposed. Finally, some experiment results are achieved with the experiment on a membrane diffraction optical system. Experimental results indicate that the proposed algorithm performs well on both wavefront reconstruction and image restoration and is far superior to traditional methods in diffraction optical systems. The accuracy of our proposed PD method is at least two orders of magnitude higher than the traditional method. Taking the 0.01° field of view for example, our modified PD method can achieve the accuracy of 2.5 × 10−4 wavelength when the diffraction efficiency is higher than 0.6. This proposed method can be applied to improve the image quality of the diffraction optical system and further support the on-orbit application of ultra-large aperture membrane imaging technology. |
| Databáze: | OpenAIRE |
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