computes an ODF from individuel orientations
The function calcDensity applies one of the following algorithms to compute an ODF from a list of orientations.
- direct kernel density estimation
- kernel density estimation via Fourier series
- Bingham estimation
Syntax
% use kernel density estimation with a 10 degree kernel
odf = calcDensity(ori,'halfwidth',10*degree)% use grain area as weights for the orientations
odf = calcDensity(grains.meanOrientation,'weights',grains.area)% use a specific kernel
psi = AbelPoissonKernel('halfwidth',10*degree)
odf = calcDensity(ori,'kernel',psi)% compute the ODF as a Fourier series of order 16
odf = calcDensity(ori,'order',16)Input
| ori | orientation |
Output
| odf | ODF |
Options
| weights | list of weights for the orientations |
| halfwidth | halfwidth of the kernel function |
| resolution | resolution of the grid where the ODF is approximated |
| kernel | kernel function (default -- de la Valee Poussin kernel) |
| order | order up to which Fourier coefficients are calculated |
Flags
| silent | no output |
| exact | no approximation to a corser grid |
| Fourier | force Fourier method |
| Bingham | model bingham odf |
| noFourier | no Fourier method |
See also
orientation.calcFourierODF orientation.calcKernelODF orientation.calcBinghamODF ebsd_demo EBSD2odf EBSDSimulation_demo