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Proceedings Paper

Monte-Carlo imaging for optical interferometry
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Paper 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.

Paper Details

Date Published: 28 June 2006
PDF: 8 pages
Proc. SPIE 6268, Advances in Stellar Interferometry, 62681T (28 June 2006); doi: 10.1117/12.670940
Show Author Affiliations
Michael J. Ireland, California Institute of Technology (United States)
John D. Monnier, Univ. of Michigan (United States)
Nathalie Thureau, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 6268:
Advances in Stellar Interferometry
John D. Monnier; Markus Schöller; William C. Danchi, Editor(s)

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