Adaptive optics sky coverage modeling for extremely large telescopes

Physics – Optics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Wave-Front Sensing

Scientific paper

A Monte Carlo sky coverage model for laser guide star adaptive optics systems was proposed by Clare and Ellerbroek [J. Opt. Soc. Am. A 23, 418 (2006)]. We refine the model to include (i) natural guide star (NGS) statistics using published star count models, (ii) noise on the NGS measurements, (iii) the effect of telescope wind shake, (iv) a model for how the Strehl and hence NGS wavefront sensor measurement noise varies across the field, (v) the focus error due to imperfectly tracking the range to the sodium layer, (vi) the mechanical bandwidths of the tip-tilt (TT) stage and deformable mirror actuators, and (vii) temporal filtering of the NGS measurements to balance errors due to noise and servo lag. From this model, we are able to generate a TT error budget for the Thirty Meter Telescope facility narrow-field infrared adaptive optics system (NFIRAOS) and perform several design trade studies. With the current NFIRAOS design, the median TT error at the galactic pole with median seeing is calculated to be 65 nm or 1.8 mas rms.

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

Adaptive optics sky coverage modeling for extremely large telescopes 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 Adaptive optics sky coverage modeling for extremely large telescopes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptive optics sky coverage modeling for extremely large telescopes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1239788

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