A method of SO3FunRBF.
the pole figures of an ODF, one axes per crystal direction; MATLAB’s plotPDF
Syntax
plotPF(odf, Miller(1, 0, 0, cs))
One pole figure.
plotPF(odf, [Miller(1, 0, 0, cs), Miller(1, 1, 1, cs)], resolution=2*degree)
Two, on a coarser grid.
plotPF(odf, h, contourf=True, colorbar=True)
Filled contours with a colour bar.
plotPF(odf, h, antipodal=True, complete=True)
Both hemispheres superposed, the whole sphere.
plotPF(odf, h, colorRange='equal', minmax=True)
One colour range, extrema marked.
plotPF(odf, [h1, h2], superposition=[1, 2])
One pole figure of the superposed directions.
plotPF(odf, pf.allH, superposition=pf.c)
The superposed pole figures of a measurement.
plotPF(odf, h, '3d')
The pole figure on a sphere in space.
Description
Every pole figure is the Radon transform odf.radon(h) of the ODF, the density of the specimen directions along which h lies. A list of directions draws one axes each, titled by its indices; title=False leaves them untitled (MATLAB’s noTitle).
Each pole figure takes its own colour range; colorRange=’equal’ gives one for all, a pair the limits.
superposition gives the structure coefficients of superposed directions:
- one coefficient per direction: all directions make one superposed pole figure.
- a list of coefficient arrays, one per entry of a list of direction sets: one superposed pole figure per set, as plotPF(odf, pf.allH, superposition=pf.c).
The other keywords are those of the spherical plots: resolution, the styles pcolor, contourf=True or contour=True with their levels, colorbar, minmax, antipodal, complete, upper, lower, the projection and the layout.
Input
odf |
SO3Fun |
h |
Miller, or a list of Miller, the crystal directions |
Keywords
| keyword | default | description |
|---|---|---|
superposition |
None |
the structure coefficients of superposed directions, an array or one array per entry of h |
Output
h |
the matplotlib surfaces, one per chart |
See also
plotIPF, plotSection, annotate, PoleFigure.plot, SphericalProjections
MATLAB’s SO3FunRBF.plotPDF
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/SO3FunRBF.plotPDF_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.