Monte-Carlo imaging for optical interferometry

Michael J. Ireland; John D. Monnier; Nathalie Thureau

doi:10.1117/12.670940

28 June 2006 Monte-Carlo imaging for optical interferometry

Michael J. Ireland, John D. Monnier, Nathalie Thureau

Proceedings Volume 6268, Advances in Stellar Interferometry; 62681T (2006) https://doi.org/10.1117/12.670940
Event: SPIE Astronomical Telescopes + Instrumentation, 2006, Orlando, Florida , United States

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.

Citation Download 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); https://doi.org/10.1117/12.670940

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