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题名:
Virtual Hartmann-shack image applied in laser beam wavefront correction and numerical simulation method
作者: Zhou, Yanchao; Xu, Bing; Chen, Shanqiu; Liu, Wenjin; Wang, Shuai
出版日期: 2015
会议名称: AOPC 2015: OPTICAL AND OPTOELECTRONIC SENSING AND IMAGING TECHNOLOGY
会议日期: 2015
DOI: 10.1117/12.2197607
中文摘要: In adaptive optics, Hartmann-shack wavefront sensor and image acquired from camera has been widely used to detect incident wavefront and the application of laser wavefront correction. A numerical simulation method of generating high resolution virtual camera image, which is based on Fourier optics and realized by FFT algorithm, is mentioned in this paper. In the condition of incident laser beam wavefront with only tilt phase aberration, calculating deviation of centroid offset between the result from virtual camera image and theoretical value, is compared to verify the accuracy of this numerical simulation method and virtual Hartmann-shack image generation model.
英文摘要: In adaptive optics, Hartmann-shack wavefront sensor and image acquired from camera has been widely used to detect incident wavefront and the application of laser wavefront correction. A numerical simulation method of generating high resolution virtual camera image, which is based on Fourier optics and realized by FFT algorithm, is mentioned in this paper. In the condition of incident laser beam wavefront with only tilt phase aberration, calculating deviation of centroid offset between the result from virtual camera image and theoretical value, is compared to verify the accuracy of this numerical simulation method and virtual Hartmann-shack image generation model.
收录类别: SCI
语种: 英语
卷号: 9674
ISSN号: 0277-786X
文章类型: 会议论文
页码: 96740N
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7831
Appears in Collections:自适应光学技术研究室(八室)_会议论文

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Recommended Citation:
Zhou, Yanchao,Xu, Bing,Chen, Shanqiu,et al. Virtual Hartmann-shack image applied in laser beam wavefront correction and numerical simulation method[C]. 见:AOPC 2015: OPTICAL AND OPTOELECTRONIC SENSING AND IMAGING TECHNOLOGY. 2015.
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