Performance of a modal zone wavefront recovery algorithm (Hudgin) implemented on FPGAs for its use in ELTs

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

The use of AO in Extremely Large Telescopes, used to improve performances in smaller telescopes, becomes now mandatory to achieve diffraction limited images according to the large apertures. On the other hand, the new dimensions push the specifications of the AO systems to new frontiers where the order of magnitude in terms of computation power, time response and the required numbers of actuators impose new challenges to the technology. In some aspects implementation methods used in the past result no longer applicable. This paper examines the real dimension of the problem imposed by ELTs and shows the results obtained in the laboratory for a real modal wavefront recovery algorithm (Hudgin) implemented in FPGAs. Some approximations are studied and the performances in terms of configuration parameters are compared. Also a preferred configuration will be justified.

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

Performance of a modal zone wavefront recovery algorithm (Hudgin) implemented on FPGAs for its use in ELTs 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 Performance of a modal zone wavefront recovery algorithm (Hudgin) implemented on FPGAs for its use in ELTs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Performance of a modal zone wavefront recovery algorithm (Hudgin) implemented on FPGAs for its use in ELTs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1303589

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