2010
DOI: 10.1117/12.857066
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The 2010 interferometric imaging beauty contest

Abstract: Here we present the results of the 6th biennial optical interferometry imaging beauty contest. Taking advantage of a unique opportunity, the red supergiant VY CMa and the Mira variable R Car were observed in the astronomical H-band with three 4-telescope configurations of the VLTI-AT array using the PIONIER instrument. The community was invited to participate in the subsequent image reconstruction and interpretation phases of the project. Ten groups submitted entries to the beauty contest, and we found reasona… Show more

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Cited by 12 publications
(12 citation statements)
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“…It is however important to carefully consider specific instrumental effects that could affect the visibility fluctuations. This can be already done with present day interferometers in addition to image reconstruction (Berger et al 2010;Malbet et al 2010) which eventually will be able to measure the size of granules directly. …”
Section: Visibility Curvesmentioning
confidence: 99%
“…It is however important to carefully consider specific instrumental effects that could affect the visibility fluctuations. This can be already done with present day interferometers in addition to image reconstruction (Berger et al 2010;Malbet et al 2010) which eventually will be able to measure the size of granules directly. …”
Section: Visibility Curvesmentioning
confidence: 99%
“…Table 1 summarizes the features of the different algorithms that were specifically designed to cope with optical interferometry data. These algorithms are the main challengers of the Interferometric Imaging Beauty Contests which, every two years since 2004, quantitatively compares the results of various image synthesis methods on simulated optical interferometric data (Lawson et al, 2004(Lawson et al, , 2006Cotton et al, 2008;Malbet et al, 2010). Among these algorithms, BSMEM (Buscher, 1994;Baron and Young, 2008) and MiRA (ThiĂ©baut, 2008) have repeatedly won the contest for data sets typical of next generation instruments.…”
Section: Imaging Algorithms and Their Applicationmentioning
confidence: 99%
“…Monnier et al, 2007;Le Bouquin et al, 2009;Schmitt et al, 2009;Kraus et al, 2009;Haubois et al, 2009;Kloppenborg et al, 2010;Millour et al, 2011). While model fitting of visibilities remains today the most accurate way to characterize an object brightness distribution, the technique has now reached a technical maturity level that opens new avenues for numerous astrophysical topics requiring milli-arcsecond model-independent imaging.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, the optical interferometer community have produced several algorithms to solve this problem, including the Building Block Method (Hofmann & Weigelt 1993), MACIM (Ireland et al 2006), MIRA (ThiĂ©baut 2008), WISARD (Meimon et al 2008), and SQUEEZE ). See Malbet et al (2010) for a description of a recent blind imaging competition between some of these algorithms.…”
Section: Non-ideal Cases For Imagingmentioning
confidence: 99%