The 2010 Interferometric Imaging Beauty Contest

被引:6
|
作者
Malbet, Fabien [1 ,12 ]
Cotton, William [2 ]
Duvert, Gilles [1 ]
Lawson, Peter [3 ]
Chiavassa, Andrea [4 ]
Young, John [5 ]
Baron, Fabien [6 ]
Buscher, David [5 ]
Rengaswamy, Sridharan [7 ]
Kloppenborg, Brian [8 ,9 ]
Vannier, Martin [10 ]
Mugnier, Laurent [11 ]
机构
[1] Univ Grenoble 1, CNRS, Lab Astrophys Grenoble LAOG, UMR 5571, BP 53, F-38051 Grenoble 9, France
[2] Natl Radio Astron Obs, Charlottesville, VA 22903 USA
[3] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[4] Max Planck Inst Astrophys, D-85741 Garching, Germany
[5] Cavendish Lab, Astrophys Grp, Cambridge CB3 0HE, England
[6] Univ Michigan, Ann Arbor, MI 48109 USA
[7] European Southern Obs, Santiago 19001, Chile
[8] Univ Denver, Denver, CO 80208 USA
[9] Univ Denver, Denver, CO 80208 USA
[10] Univ Nice, Lab H Fizeau, F-06108 Nice, France
[11] ONERA DOTA, F-92322 Chatillon, France
[12] JMMC, Kolkata, India
来源
关键词
Astronomical software; closure phase; aperture synthesis; imaging; optical; infrared; interferometry;
D O I
10.1117/12.857066
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present the results of the fourth Optical/IR Interferometry Imaging Beauty Contest. The contest consists of blind imaging of test data sets derived from model sources and distributed in the OI-FITS format. The test data consists of spectral data sets on an object "observed" in the infrared with spectral resolution. There were 4 different algorithms competing this time: BSMEM the Bispectrum Maximum Entropy Method by Young, Baron & Buscher; RPR the Recursive Phase Reconstruction by Rengaswamy; SQUEEZE a Markov Chain Monte Carlo algorithm by Baron, Monnier & Kloppenborg; and, WISARD the Weak-phase Interferometric Sample Alternating Reconstruction Device by Vannier & Mugnier. The contest model image, the data delivered to the contestants and the rules are described as well as the results of the image reconstruction obtained by each method. These results are discussed as well as the strengths and limitations of each algorithm.
引用
收藏
页数:12
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