Monte-Carlo imaging for optical interferometry

Details Monte-Carlo imaging for optical interferometry Monte-Carlo imaging for optical interferometry

Jul 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spie.6268e..58i&link_type=abstract

Advances in Stellar Interferometry. Edited by Monnier, John D.; Schöller, Markus; Danchi, William C.. Proceedings of the SPIE,

Mathematics

Probability

12

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Monte-Carlo imaging for optical interferometry does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Monte-Carlo imaging for optical interferometry, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Monte-Carlo imaging for optical interferometry will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1623435