The 2010 Interferometric Imaging Beauty Contest
Abstract
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.
Cite
@article{arxiv.1007.4473,
title = {The 2010 Interferometric Imaging Beauty Contest},
author = {Fabien Malbet and William Cotton and Gilles Duvert and Peter Lawson and Andrea Chiavassa and John Young and Fabien Baron and David Buscher and Sridharan Rengaswamy and Brian Kloppenborg and Martin Vannier and Laurent Mugnier},
journal= {arXiv preprint arXiv:1007.4473},
year = {2015}
}
Comments
To be published in SPIE 2010 "Optical and infrared interferometry II"