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28 June 2006 Monte-Carlo imaging for optical interferometry
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Abstract
We present a flexible code created for imaging from the bispectrum and V2. By using a simulated annealing method, we limit the probability of converging to local chi-squared minima as can occur when traditional imaging methods are used on data sets with limited phase information. We present the results of our code used on a simulated data set utilizing a number of regularization schemes including maximum entropy. Using the statistical properties from Monte-Carlo Markov chains of images, we show how this code can place statistical limits on image features such as unseen binary companions.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael J. Ireland, John D. Monnier, and Nathalie Thureau "Monte-Carlo imaging for optical interferometry", Proc. SPIE 6268, Advances in Stellar Interferometry, 62681T (28 June 2006); https://doi.org/10.1117/12.670940
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