1984
DOI: 10.1093/mnras/211.1.111
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Maximum entropy image reconstruction: general algorithm

Abstract: Maximum entropy is an optimal technique of image reconstruction, widely applicable in astronomy and elsewhere. We present a general-purpose algorithm, capable of generating maximum entropy images from a wide variety of types of data.

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Cited by 919 publications
(670 citation statements)
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“…The so-called Cambridge algorithm (Skilling and Bryan, 1984;Gull and Skilling, 1999) for MEM analysis is another longed-for-feature, which may be useful in structure refinement from powder diffraction data. To achieve the above improvements, we have recently developed a new generation of MEM-analysis program Dysnomia (Izumi and Momma, 2011;Momma and Izumi, 2011a), which is a successor to PRIMA.…”
Section: Introductionmentioning
confidence: 99%
“…The so-called Cambridge algorithm (Skilling and Bryan, 1984;Gull and Skilling, 1999) for MEM analysis is another longed-for-feature, which may be useful in structure refinement from powder diffraction data. To achieve the above improvements, we have recently developed a new generation of MEM-analysis program Dysnomia (Izumi and Momma, 2011;Momma and Izumi, 2011a), which is a successor to PRIMA.…”
Section: Introductionmentioning
confidence: 99%
“…Because the one-dimensional data light curve cannot fully constrain a two-dimensional map, additional freedom remains to optimise some map property. A maximum entropy (MEM) procedure [56,57] is used to select, among all possible solutions, the one that maximises the entropy of the eclipse map with respect to a smooth default map.…”
Section: Principles and Inner Workingsmentioning
confidence: 99%
“…In order to choose a unique solution some additional constraint, called regularisation, is usually applied. Our code uses the Skilling & Bryan (1984) maximum entropy optimisation scheme which produces an image with the minimum amount of information required to fit the data.…”
Section: Detecting and Mapping Magnetic Fieldsmentioning
confidence: 99%