Monte-carlo imaging for optical interferometry

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

51 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Stellar Interferometry
EditorsJohn D. Monnier, Markus Schöller, William C. Danchi
Place of PublicationBellingham, WA
PublisherSPIE
Pages1-8
Number of pages8
ISBN (Print)0819463337, 9780819463333
DOIs
Publication statusPublished - Jun 2006
Externally publishedYes
EventAdvances in Stellar Interferometry - Orlando, FL, United States
Duration: 25 May 200630 May 2006

Publication series

NameProc. of SPIE
PublisherSPIE
Volume6268

Other

OtherAdvances in Stellar Interferometry
CountryUnited States
CityOrlando, FL
Period25/05/0630/05/06

Keywords

  • Aperture synthesis imaging
  • Astronomical software
  • Bayesian statistics
  • Optical interferometry

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