Error reduction method for singularity point detection using Shack–Hartmann wavefront sensor

Measurement Error of Shack-Hartmann Wavefront Sensor

A Shack-Hartmann sensor is one of the most important and popular wavefront sensors used in an adaptive optics system to measure the aberrations caused by either atmospheric turbulence, laser transmission, or the living eye [1-7]. Its design was based on an aperture array that was developed in 1900 by Johannes Franz Hartmann as a means to trace individual rays of light through the optical system...

Determination of wavefront structure for a Hartmann wavefront sensor using a phase-retrieval method.

We apply a phase retrieval algorithm to the intensity pattern of a Hartmann wavefront sensor to measure with enhanced accuracy the phase structure of a Hartmann hole array. It is shown that the rms wavefront error achieved by phase reconstruction is one order of magnitude smaller than the one obtained from a typical centroid algorithm. Experimental results are consistent with a phase measuremen...

Assessing Error Bound For Dominant Point Detection

This paper compares the error bounds of two classes of dominant point detection methods, viz. methods based on reducing a distance metric and methods based on digital straight segments. We highlight using two methods in each class that the error bounds within the same class may vary depending upon the fine details and control parameters of the methods but the essential error bound can be determ...

Multilevel Algorithms for Wavefront Reduction

Multilevel algorithms are proposed for reordering sparse symmetric matrices to reduce the wavefront and proole. A graph representation of the matrix is used and two graph coarsening methods are investigated. A multilevel algorithm that uses a maximal independent vertex set for coarsening and the Sloan algorithm on the coarsest graph is shown to produce orderings that are of a similar quality to...

Detection of Point Mutations using Minisequencing Method