An interferometry imaging beauty contest

Lawson, Peter R.; Cotton, W. D.; Hummel, Christian A.; Monnier, John D.; Zhao, Ming; Young, John S.; Thorsteinsson, Hrobjartur; Meimon, Serge; Mugnier, Laurent M.; Besnerais, Guy Le; Thiébaut, Éric; Tuthill, P. G.

doi:10.1117/12.550710

Cited by 54 publications

(38 citation statements)

References 12 publications

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“…Figure 4 shows an image of LkHα 101 observed at wavelength of 550 nm, which covers 12 milli-arcsecond (mas) along both axes. The LkHα 101 has the diameter of about 5.5 mas [17], and is located at the right ascension of 4 h 30 m 14.4 s , the declination of 35 • 16 24 , and at a distance of 700 parsec (pc) from the Earth [17]. This image will be used as the reference imagex ref for simulations, which is composed of 256 × 256 pixels, with an angular resolution of 0.0469 mas/pixel.…”

Section: Optimal Solutionmentioning

confidence: 99%

“…An image of LkHα 101 [17] is adopted for testing in this work, and the optical interferometric data are simulated on the configuration of the six-station Navy Prototype Optical Interferometer (NPOI) [18] plus GRAVITY to verify the efficacy of the proposed method. If the brightness distribution has a weak dependence on wavelengths [9,19], polychromatic measurement data can be used to further enhance the reconstructed image [14,20].…”

Section: Introductionmentioning

confidence: 99%

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A Visibility-Domain Reconstruction Technique for Optical Interferometry Imaging

Kiang¹

2017

PIER M

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Abstract-A visibility-domain processing for optical interferometric imaging (VP-OII) method is proposed to model the visibility distribution of an image, and a phase recovery technique is proposed to acquire additional visibility data from the powerspectrum and closure-phase data. This method requires only a few tunable parameters, and can be easily extended to include more data acquired from different instruments. By simulating the reconstruction of an LkHα 101 image, the proposed method proves a few hundreds times faster and is more resilient to noise than the conventional MIRA.

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Section: Optimal Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Visibility-Domain Reconstruction Technique for Optical Interferometry Imaging

Kiang¹

2017

PIER M

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“…The original cube with a pixel resolution of 0.1 mas is of size 501 × 501 pixels ×30 channels, the field of view (FOV) is ≈ 50 mas. The instrumental configuration was used in the 2004 International Beauty Contest in Optical Interferometry [51]: Thirty equi-spaced wavelengths in the range 1.45 µm − 1.84 µm (high resolution) at 13 acquisition instants are analyzed. The spatial frequencies coverage, including the earth rotation effect, is shown in Fig.…”

Section: Resolved Stars Reconstructionmentioning

confidence: 99%

PAINTER: a spatiospectral image reconstruction algorithm for optical interferometry

et al. 2014

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Astronomical optical interferometers sample the Fourier transform of the intensity distribution of a source at the observation wavelength. Because of rapid perturbations caused by atmospheric turbulence, the phases of the complex Fourier samples (visibilities) cannot be directly exploited. Consequently, specific image reconstruction methods have been devised in the last few decades. Modern polychromatic optical interferometric instruments are now paving the way to multiwavelength imaging. This paper is devoted to the derivation of a spatio-spectral ("3D") image reconstruction algorithm, coined PAINTER (Polychromatic opticAl INTErferometric Reconstruction software). The algorithm relies on an iterative process, which alternates estimation of polychromatic images and of complex visibilities. The complex visibilities are not only estimated from squared moduli and closure phases, but also differential phases, which helps to better constrain the polychromatic reconstruction. Simulations on synthetic data illustrate the efficiency of the algorithm and in particular the relevance of injecting a differential phases model in the reconstruction.

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“…Examples include the BBM method (building block mapping; Hofmann & Weigelt 1993;Hofmann et al 2005), BSMEM (bispectrum maximum entropy method; Buscher 1994), MIRA (multi-aperture image reconstruction algorithm; Thiebaut 2002), and MACIM (Monte-Carlo imaging; Ireland et al 2006). The performance of various algorithms was evaluated in several blind tests (Lawson et al 2004(Lawson et al , 2006Malbet et al 2010;Baron et al 2012) initiated by the IAU Working Group on Optical/IR Interferometry. In contrast to our BBM method, the new IRBis method (image reconstruction software using the bispectrum) employs a fast minimization routine based on conjugate gradients (Hager & Zhang 2005.…”

Section: Introductionmentioning

confidence: 99%

An image reconstruction method (IRBis) for optical/infrared interferometry

Hofmann

Weigelt

Schertl

2014

A&A

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Aims. We present an image reconstruction method for optical/infrared long-baseline interferometry called IRBis (image reconstruction software using the bispectrum). We describe the theory and present applications to computer-simulated interferograms. Methods. The IRBis method can reconstruct an image from measured visibilities and closure phases. The applied optimization routine ASA_CG is based on conjugate gradients. The method allows the user to implement different regularizers, apply residual ratios as an additional metric for goodness-of-fit, and use previous iteration results as a prior to force convergence. Results. We present the theory of the IRBis method and several applications of the method to computer-simulated interferograms. The image reconstruction results show the dependence of the reconstructed image on the noise in the interferograms (e.g., for ten electron read-out noise and 139 to 1219 detected photons per interferogram), the regularization method, the angular resolution, and the reconstruction parameters applied. Furthermore, we present the IRBis reconstructions submitted to the interferometric imaging beauty contest 2012 initiated by the IAU Working Group on Optical/IR Interferometry and describe the performed data processing steps.

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An interferometry imaging beauty contest

Cited by 54 publications

References 12 publications

A Visibility-Domain Reconstruction Technique for Optical Interferometry Imaging

A Visibility-Domain Reconstruction Technique for Optical Interferometry Imaging

PAINTER: a spatiospectral image reconstruction algorithm for optical interferometry

An image reconstruction method (IRBis) for optical/infrared interferometry

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