Non-Gaussian Phase Screen Based on log-Poisson Distribution and Effect on Imaging

Gaussian models without intermittency are extensively used in estimating the effect of turbulence, but it also brings some puzzles, for example the observed pulse shape that disagrees with the result of the standard theory of interstellar scintillations. Indeed the property of intermittency is inher...

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Published inCommunications in theoretical physics Vol. 52; no. 12; pp. 1093 - 1101
Main Author YUAN Guo-Yong CHEN Shi-Gang
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.12.2009
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Abstract Gaussian models without intermittency are extensively used in estimating the effect of turbulence, but it also brings some puzzles, for example the observed pulse shape that disagrees with the result of the standard theory of interstellar scintillations. Indeed the property of intermittency is inherent in turbulence, i.e., all the quantities that characterize it suffer from strong fluctuations. So it is necessary to consider turbulent intermittency in many applications. In this paper we propose a non-Gaussian phase screen, which obeys log-Poisson statistics, and also offers the corresponding point spread function (PSF). These results describe that intermittency leads to the more extent and different directional distribution of PSF. Theoretical analysis is made under the hypothesis of the phase difference satisfying log-Poisson statistics, and the average point spread function, which accord qualitatively with the result of the above generated phase screen, is derived.
AbstractList Gaussian models without intermittency are extensively used in estimating the effect of turbulence, but it also brings some puzzles, for example the observed pulse shape that disagrees with the result of the standard theory of interstellar scintillations. Indeed the property of intermittency is inherent in turbulence, i.e., all the quantities that characterize it suffer from strong fluctuations. So it is necessary to consider turbulent intermittency in many applications. In this paper we propose a non-Gaussian phase screen, which obeys log-Poisson statistics, and also offers the corresponding point spread function (PSF). These results describe that intermittency leads to the more extent and different directional distribution of PSF. Theoretical analysis is made under the hypothesis of the phase difference satisfying log-Poisson statistics, and the average point spread function, which accord qualitatively with the result of the above generated phase screen, is derived.
Author YUAN Guo-Yong CHEN Shi-Gang
AuthorAffiliation Institute of Applied Physics and Computational Mathematics, P.O. Box 8009, Beijing 100088, China Department of Physics, Hebei Normal University, Shijiazhuang 05{)016, China Hebei Advanced Thin Films Laboratory, Shijiazhuang 050016, China
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10.1016/S0167-2789(96)00165-0
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10.1103/RevModPhys.69.437
10.1103/PhysRevLett.91.131101
10.1017/CBO9780511525179.005
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10.1007/BF00896333
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Notes turbulence, intermittency, log-Poisson distribution, phase screen
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Snippet Gaussian models without intermittency are extensively used in estimating the effect of turbulence, but it also brings some puzzles, for example the observed...
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SubjectTerms 成像效果
泊松分布
点扩散函数
统计数据
间歇性
非高斯
高斯模型
Title Non-Gaussian Phase Screen Based on log-Poisson Distribution and Effect on Imaging
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