fftfit: Fourier transform interferogram analysis

In mlpeck/zernike: Zernike Polynomials and Fringe Analysis tools

Fourier transform interferogram analysis

Description

High level routines for FFT analysis of interferograms.

Usage

fftfit(imagedata, cp = NULL, 
  sl = c(1, 1), filter = NULL, taper = 2, 
  options = psfit_options())

Arguments

imagedata	A matrix containing the interferogram
cp	A list describing the pupil boundary, as returned by pupil.pars
sl	Position of sidelobe in the form c(x,y)
filter	Size of background filter around DC
taper	Size of taper applied to edge of half plane cut
options	a list of parameters passed to other functions. See psfit_options

.

Details

If is.null(filter) (the default), pick.sidelobe will be called to select a Fourier domain sidelobe and background filter size.

If is.null(cp) circle.pars is applied to the modulation to estimate the pupil parameters.

See wf_net for details of the process of creating net and smoothed wavefronts from raw unwrapped wavefront maps.

Value

A list with the following components:

phase	Wrapped phase map
mod	The estimated modulation
cp	A list describing the pupil boundary
cp.orig	The precropped value of cp
wf.net	Net unsmoothed wavefront; a matrix of class "pupil"
wf.smooth	Net smoothed wavefront
wf.residual	Difference between net wavefront and polynomial fit
fit	Return value from fitzernikes
zcoef.net	Net Zernike coefficients from fit

Note

These functions are based largely on the work of Roddier and Roddier (1987).

Author(s)

M.L. Peck [e-mail]

References

Roddier, C. and Roddier, F. 1987, Interferogram analysis using Fourier transform techniques, Applied Optics, vol. 26, pp. 1668-1673.

See Also

vortexfit, wf_net, pupil.pars, pick.sidelobe.

Examples

  # just run the example for 'vortexfit()'
  
  example(vortexfit, package="zernike", ask=FALSE)

mlpeck/zernike documentation built on Dec. 29, 2024, 7:41 p.m.