PDF to ODF inversion
calcODF is one of the main function of the MTEX toolbox. It estimates an ODF from given Polefigure intensities by fitting an ODF that consists of a large number of unimodal ODFs to the data. It does so by minimizing a least squares functional. The command calcODF supports automatic ghost correction and the zero range method. The function calcODF has several options to control convergence, resolution, smoothing, etc. See below for a complete description.
Syntax
odf = calcODF(pf)
odf = calcODF(pf,'halfwidth',5*degree)
odf = calcODF(pf,'zeroRange')
odf = calcODF(pf,'resolution',2.5*degree)Input
| pf | PoleFigure |
Output
| odf | reconstructed SO3Fun |
| alpha | scaling factors, calculated during reconstruction |
Options
| kernel | the ansatz functions (default = de la Vallee Poussin) |
| halfwidth | halfwidth of the ansatz functions (default = 2/3 * resolution) |
| resolution | localization grid for the ansatz functions (default = 3/2 resolution(pf)) |
| iterMax | maximum number of iterations (default = 11) |
| iterMin | minimum number of iterations (default = 5) |
| c0 | initial guess (default = [1 1 1 1 ... 1]) |
Flags
| zeroRange | apply zero range method (default = ) |
| noGhostCorrection | omit ghost correction |
| ensure_descent | stop iteration whenever no progress if observed |
| force_iter_max | always go until ITER_MAX |
| silent | no output |
References
- A novel pole figure inversion method: specification of the MTEX algorithm, J. Appl. Cryst. 41, 2008.
See also
PoleFigure2odf ODF_demo PoleFigureSimulation_demo PoleFigure.load ImportPoleFigureData examples_index