Image Reconstruction in Optical Interferometry: An Up-to-Date Overview

Baron, Fabien

doi:10.1007/978-3-319-39739-9_5

Cited by 3 publications

(9 citation statements)

References 65 publications

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“…Understanding the principles of image reconstruction [4,6] is recommended for the proper use of a given algorithm. Fortunately, most, if not all, image reconstruction methods follow similar approaches [7,12,13] which we will review here.…”

Section: Imaging From Sparse Fourier Datamentioning

confidence: 99%

“…which can be seen as an instance of the LASSO algorithm [61]. The dictionary B can be built from a basis of wavelet functions [12,29] which has proven effective for multi-scale structures.…”

Section: E Sparsity Promoting Priorsmentioning

confidence: 99%

“…Although there now exist a number of good image reconstruction algorithms dedicated to the processing of optical interferometry data [12], they are not unsupervised black boxes magically producing an image without user control. To use these algorithms successfully, astronomers should be accustomed to the underlying general principles of image reconstruction from sparse data.…”

Section: Introductionmentioning

confidence: 99%

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Principles of image reconstruction in optical interferometry: tutorial

Thiébaut¹,

Young²

2017

J. Opt. Soc. Am. A

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This paper provides a general introduction to the problem of image reconstruction from interferometric data. A simple model of the interferometric observables is given and the issues arising from sparse Fourier data are discussed. The effects of various regularizations are described. In the proposed general framework, most existing algorithms can be understood. For an astronomer, such an understanding is crucial not only for selecting and using an algorithm but also to ensure correct interpretation of the resulting image.

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Section: Imaging From Sparse Fourier Datamentioning

confidence: 99%

Section: E Sparsity Promoting Priorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Principles of image reconstruction in optical interferometry: tutorial

Thiébaut¹,

Young²

2017

J. Opt. Soc. Am. A

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“…An example is the Maximum Entropy, or MEM, regularization, which favors the least informative reconstruction by maximizing an entropy term in the likelihood function (e.g., Haniff et al 1987;Buscher 1994). The results of regularizers such as MEM depend heavily on the choice of prior image (e.g., Baron 2016).…”

Section: Regularizersmentioning

confidence: 99%

“…The results of regularizers such as MEM depend heavily on the choice of prior image (e.g. Baron 2016).…”

Section: Regularizersmentioning

confidence: 99%

Data Reduction and Image Reconstruction Techniques for Non-redundant Masking

Sallum

Eisner

2017

ApJS

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The technique of non-redundant masking (NRM) transforms a conventional telescope into an interferometric array. In practice, this provides a much better constrained point-spread function than a filled aperture and thus higher resolution than traditional imaging methods. Here, we describe an NRM data reduction pipeline. We discuss strategies for NRM observations regarding dithering patterns and calibrator selection. We describe relevant image calibrations and use example Large Binocular Telescope data sets to show their effects on the scatter in the Fourier measurements. We also describe the various ways to calculate Fourier quantities, and discuss different calibration strategies. We present the results of image reconstructions from simulated observations where we adjust prior images, weighting schemes, and error bar estimation. We compare two imaging algorithms and discuss implications for reconstructing images from real observations. Finally, we explore how the current state of the art compares to next-generation Extremely Large Telescopes.

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Advances in Optical/Infrared Interferometry

Eisenhauer

Pfuhl

2023

Annual Review of Astronomy and Astrophysics

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After decades of fast-paced technical advances, optical/infrared (O/IR) interferometry has seen a revolution in recent years. ▪ The GRAVITY instrument at the Very Large Telescope Interferometer (VLTI) with four 8-m telescopes reaches thousand-times-fainter objects than possible with earlier interferometers, and the Center for High Angular Resolution Astronomy (CHARA) array routinely offers up to 330-m baselines and aperture-synthesis with six 1-m telescopes. ▪ The observed objects are fainter than 19 mag, the images have submilliarcsecond resolution, and the astrometry reaches microarcsecond precision. ▪ This led to breakthrough results on the Galactic Center, exoplanets, active galactic nuclei, young stellar objects, and stellar physics. Following a primer in interferometry, we summarize the advances that led to the performance boost of modern interferometers: ▪ Single-mode beam combiners now combine up to six telescopes, and image reconstruction software has advanced over earlier developments for radio interferometry. ▪ With a combination of large telescopes, adaptive optics (AO), fringe tracking, and especially dual-beam interferometry, GRAVITY has boosted the sensitivity by many orders of magnitudes. Another order-of-magnitude improvement will come from laser guide star AO. In combination with large separation fringe tracking, O/IR interferometry will then provide complete sky coverage for observations in the Galactic plane and substantial coverage for extragalactic targets. Expected final online publication date for the Annual Review of Astronomy and Astrophysics, Volume 61 is August 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Image Reconstruction in Optical Interferometry: An Up-to-Date Overview

Cited by 3 publications

References 65 publications

Principles of image reconstruction in optical interferometry: tutorial

Principles of image reconstruction in optical interferometry: tutorial

Data Reduction and Image Reconstruction Techniques for Non-redundant Masking

Advances in Optical/Infrared Interferometry

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