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Proceedings Article

Monte-Carlo imaging for optical interferometry

[+] Author Affiliations
Michael J. Ireland

California Institute of Technology

John D. Monnier, Nathalie Thureau

Univ. of Michigan

Proc. SPIE 6268, Advances in Stellar Interferometry, 62681T (June 28, 2006); doi:10.1117/12.670940
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From Conference Volume 6268

  • Advances in Stellar Interferometry
  • John D. Monnier; Markus Schöller; William C. Danchi
  • Orlando, FL | May 24, 2006

abstract

We present a flexible code created for imaging from the bispectrum and V 2. 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 SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Michael J. Ireland ; John D. Monnier and Nathalie Thureau
"Monte-Carlo imaging for optical interferometry", Proc. SPIE 6268, Advances in Stellar Interferometry, 62681T (June 28, 2006); doi:10.1117/12.670940; http://dx.doi.org/10.1117/12.670940


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