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Monte-Carlo imaging for optical interferometry

Ireland, Michael J. and Monnier, John D. and Thureau, Nathalie (2006) Monte-Carlo imaging for optical interferometry. In: Advances in Stellar Interferometry. Proceedings of SPIE. No.6268. Society of Photo-Optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 62681T. ISBN 9780819463449.

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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.

Item Type:Book Section
Related URLs:
URLURL TypeDescription Paper
Ireland, Michael J.0000-0002-6194-043X
Monnier, John D.0000-0002-3380-3307
Additional Information:© 2006 Society of Photo-Optical Instrumentation Engineers (SPIE). M.I. would like to acknowledge Michelson Fellowship support from the Michelson Science Center and the NASA Navigator Program.
Group:Infrared Processing and Analysis Center (IPAC)
Funding AgencyGrant Number
NASA Michelson FellowshipUNSPECIFIED
Subject Keywords:astronomical software,aperture synthesis imaging, optical interferometry, Bayesian statistics
Series Name:Proceedings of SPIE
Issue or Number:6268
Record Number:CaltechAUTHORS:20200903-133056237
Persistent URL:
Official Citation: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);
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105246
Deposited By: Tony Diaz
Deposited On:09 Sep 2020 18:01
Last Modified:16 Nov 2021 18:41

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