Wave-front analyzer using a maximum likelihood algorithm

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7

Aberration, Irradiance, Maximum Likelihood Estimates, Optical Measurement, Pupils, Wave Fronts, Interferometry, Lens Design, Phase Shift

Scientific paper

A method for measuring phase aberrations in the pupil plane of an optical system is presented which uses the image formed by a lens but does not require phase dithering. This method is based on the assertion that the pupil-plane phase distribution can be determined directly from the image irradiance and employs the unique relationship between the pupil phase distribution with a known amplitude distribution and its image irradiance distribution. By assuming that irradiance measurements contain noise and are represented as random variables, the pupil phase information is extracted from the noisy measurements by determining that phase distribution has the highest probability of producing the measurements. Results are given for numerical computer simulations illustrating application of the method to spread functions with large aberrations and to irradiance measurements containing noise. Some possible limitations on the procedure are noted.

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

Wave-front analyzer using a maximum likelihood algorithm 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 Wave-front analyzer using a maximum likelihood algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Wave-front analyzer using a maximum likelihood algorithm will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1848270

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