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Journal ArticleDOI

The Transfer Function, Signal-to-Noise Ratio, and Limiting Magnitude in Stellar Speckle Interferometry

J. C. Dainty, +1 more
- 01 Dec 1974 - 
- Vol. 169, Iss: 3, pp 631-641
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This article is published in Monthly Notices of the Royal Astronomical Society.The article was published on 1974-12-01. It has received 48 citations till now. The article focuses on the topics: Electronic speckle pattern interferometry & Speckle pattern.

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Book ChapterDOI

V The Effects of Atmospheric Turbulence in Optical Astronomy

TL;DR: In this article, the authors discuss the effects of atmospheric turbulence in optical astronomy, summarizes the present state of the theory, reviews the experimental checks that have been made, and discusses the implications in the domain of astronomical observations.
Book ChapterDOI

I The Statistics of Speckle Patterns

TL;DR: The statistical properties of a speckle pattern depend, in general, on both the coherence of the incident light and the statistics of the scattering surface or medium as discussed by the authors, and it was found that the value of the r.m.s. height variation of a scattering surface strongly influenced the statistical properties, even for surfaces with a Gaussian distribution of surface heights.
Journal ArticleDOI

Estimating Fried’s parameter from a time series of an arbitrary resolved object imaged through atmospheric turbulence

TL;DR: In this paper, a method to obtain an estimate of Fried's seeing parameter r0 from time series of an arbitrarily shaped, resolved structure that exhibits degradation resulting from atmospheric turbulence is presented.
Journal ArticleDOI

Bispectral analysis at low light levels and astronomical speckle masking

TL;DR: In this paper, the influence of photon noise on the bispectrum of an image-intensity distribution is discussed, and it is shown theoretically that bispectral analysis in speckle masking should yield true, diffraction-limited images in all those cases in which the specckle-interferometry process has been successful in reconstructing the object autocorrelation.
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