Continuous surface fitting to spatial optical interferometer data

Sarbast Rasheed, Arsen R. Hajian, Christopher Tycner, Linda Vu

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


In this paper, we describe a practical implementation of an image reconstruction method designed to generate a map of the brightness distribution from data consisting of squared visibilities and complex closure amplitudes resulting from observations of an astronomical target with a broadband, multichannel, spatial optical interferometer. Given the data, the method estimates the true brightness distribution with a model sampled on a rectangular grid of discrete positions on the sky with the assumption that the model intensities in the region not defined by the discrete positions being described by bilinear interpolation of the discrete intensities. The developed image reconstruction method has been applied to real observational data obtained from existing optical interferometer facilities.

Original languageEnglish
Title of host publicationImage Reconstruction from Incomplete Data VI
StatePublished - 2010
EventImage Reconstruction from Incomplete Data VI - San Diego, CA, United States
Duration: Aug 2 2010Aug 3 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceImage Reconstruction from Incomplete Data VI
Country/TerritoryUnited States
CitySan Diego, CA


  • Image reconstruction
  • modelling
  • optical interferometry
  • optimization


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