Prediction of wavefronts in adaptive optics to reduce servo lag errors using data mining

Details Prediction of wavefronts in adaptive optics to reduce servo lag errors using data mining Prediction of wavefronts in adaptive optics to reduce servo lag errors using data mining

2009-11-04

arxiv.org/abs/0911.0822v1

XXXIV Symposium of OSI, ICOP, 2009

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

4 pages, 7 figures, in proceedings of the International Conference on Optics and Photonics, 2009

Scientific paper

Servo lag errors in adaptive optics lead to inaccurate compensation of wavefront distortions. An attempt has been made to predict future wavefronts using data mining on wavefronts of the immediate past to reduce these errors. Monte Carlo simulations were performed on experimentally obtained data that closely follows Kolmogorov phase characteristics. An improvement of 6% in wavefront correction is reported after data mining is performed. Data mining is performed in three steps (a) Data cube Segmentation (b) Polynomial Interpolation and (c) Wavefront Estimation. It is important to optimize the segment size that gives best prediction results. Optimization of the best predictable future helps in selecting a suitable exposure time.

Affiliated with

Also associated with

No associations

Rating

Prediction of wavefronts in adaptive optics to reduce servo lag errors using data mining 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 Prediction of wavefronts in adaptive optics to reduce servo lag errors using data mining, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Prediction of wavefronts in adaptive optics to reduce servo lag errors using data mining will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-620055