the zero range method of the pole figure inversion: where a pole figure vanishes, the ODF vanishes on every fibre through it
Syntax
zrm = zeroRangeMethod(pf)
The defaults.
zrm = zeroRangeMethod(pf, halfwidth=10*degree, delta=0.01)
A wider kernel, a higher background.
isZero = zrm.checkZeroRange(ori)
The orientations ruled out.
isZero = zrm.checkZeroRange(v, i)
The zero positions of the i-th pole figure.
Description
A direction of a pole figure is in its zero range where enough measurements surround it and most of them lie below the background. Both are kernel sums over the measured directions: their density, which must exceed the threshold, and a sum weighting an intensity above the background bg by alpha - 1 and one below it by -1, which must be below -0.1 times the density.
An orientation is ruled out when one of its symmetric poles falls into the zero range of some pole figure. calcODF(pf, zeroRange=True) drops those orientations from the grid of the ansatz functions; calcODF(pf, zeroRange=zrm) uses the method set up here.
Input
pf |
PoleFigure |
psi |
S2Kernel, the smoothing kernel, given positionally |
Keywords
| keyword | default | description |
|---|---|---|
halfwidth |
None |
the halfwidth of the de la Vallee Poussin smoothing kernel, by default twice the resolution of the pole figures |
kernel |
None |
S2Kernel, the smoothing kernel instead |
threshold |
None |
the density below which the data says nothing, by default a tenth of the kernel’s maximum |
delta |
0.001 |
the background as a fraction of the largest intensity, when bg is not given |
bg |
None |
the background intensity, one number or one per pole figure |
alpha |
10 |
the weight of an intensity above the background against one below it |
bandwidth |
None |
the bandwidth of the smoothed densities, by default the kernel’s |
Output
zrm |
zeroRangeMethod |
See also
calcODF, MLSSolver, PoleFigureDubna
MATLAB’s zeroRangeMethod.zeroRangeMethod
source
Citing this page.
This page is part of the documentation of
MTEX, a free and open
source MATLAB toolbox for analyzing and modeling crystallographic textures.
It was written by The MTEX Developers and is published at
https://mtex-toolbox.github.io/zeroRangeMethod.zeroRangeMethod_py.html.
If you use MTEX, or reuse text or figures from this page, in your research,
please cite
F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63
BibTeX
@article{bachmann2010mtex,
author = {F. Bachmann and R. Hielscher and H. Schaeben},
title = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
journal = {Solid State Phenomena},
volume = {160},
pages = {63-68},
year = {2010},
doi = {10.4028/www.scientific.net/SSP.160.63},
url = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}
Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.