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Proceedings Paper

Ghost interference with pseudo-thermal light
Author(s): Yin-Ping Yao; Ren-Gang Wan; Shi-Wei Zhang; Jia-Zheng Song; Tong-Yi Zhang
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Paper Abstract

Ghost imaging (correlated imaging) has been extensively investigated in recent years, both theoretically and experimentally. By using the second-order or high-order coherence properties of light field and the correlation measurement, ghost imaging was realized with quantum entangled light, pseudo-thermal light and even true thermal light. In this work, basing on the theory of statistical optics, we model the dynamic process of thermal variation, and obtain the ghost interference and ghost imaging by means of simulated calculation. In the later experiment, a pseudo-thermal source is firstly prepared by using a laser beam to pass through a rotating ground glass plate, and the parameters of the pseudo-thermal source are obtained via Hanbury-Brown-Twiss (HBT) experiment. With the pseudo-thermal light, we perform ghost interference. The experimental results demonstrate the accordance of numerical prediction. And our conclusion shows that the quality of ghost interference is influenced by the size of the pinhole in the reference path, the little pinhole due to a higher quality of ghost interference.

Paper Details

Date Published: 29 November 2012
PDF: 8 pages
Proc. SPIE 8554, Quantum and Nonlinear Optics II, 85541D (29 November 2012); doi: 10.1117/12.999577
Show Author Affiliations
Yin-Ping Yao, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of the Chinese Academy of Sciences (China)
Ren-Gang Wan, Xi'an Institute of Optics and Precision Mechanics (China)
Shi-Wei Zhang, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of the Chinese Academy of Sciences (China)
Jia-Zheng Song, Xi'an Institute of Optics and Precision Mechanics (China)
Tong-Yi Zhang, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 8554:
Quantum and Nonlinear Optics II
Qihuang Gong; Guang-Can Guo; Yuen-Ron Shen, Editor(s)

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