Comparison of blind imaging performance of Fizeau and Michelson type arrays for a partially resolved object

Computer Science – Performance

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

This paper compares two well-known types of interferometer arrays for optical aperture synthesis. An analytical model for both types describes the expected output, in terms of photon counts. The goal is to characterize the performance of both types of array for blind imaging of a wide-field or extended object that would be partially resolved by a single elementary aperture. The spectrum of the source is assumed to be constant over the source and in time, but broad-banded. The light levels are such that only a few photons per pixel or bin are received. The simulated interferometer responses are discussed. The process of reconstructing the source from the 'recorded' responses is presented, but not discussed in this paper. It turns out that both types of interferometer are capable of imaging a partially resolved source with high spatial frequencies present all over the source.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Comparison of blind imaging performance of Fizeau and Michelson type arrays for a partially resolved object 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 Comparison of blind imaging performance of Fizeau and Michelson type arrays for a partially resolved object, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Comparison of blind imaging performance of Fizeau and Michelson type arrays for a partially resolved object will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-802540

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.