A method of parentGrainReconstructor.

the votes the triple points of three child grains cast for their parent orientation, written into job.votes; MATLAB’s calcTPVotes

Syntax

job.calcTPVotes()

Every triple point of three child grains votes.

job.calcTPVotes(minFit=2.5*degree, maxFit=5*degree)

Only the triple points of one clear parent.

job.calcTPVotes(numFit=1, bestFit=True)

The best fit per variant instead of a probability.

Description

At a triple point where three child grains meet, the parent orientation that fits all three, the mean of one variant of each, is computed for the numFit best fitting combinations, and each of the three grains votes for its variant, weighted by the fit as calcGBVotes weighs it. A triple point fits one parent clearly when its best fit is small and its second best large, which minFit and maxFit ask for.

Input

job parentGrainReconstructor, with job.p2c set

Keywords

keyword default description
numFit 2 the number of best fitting parents every triple point votes for
threshold None the misfit angle at which the probability is one half, by default 2 degree or minFit when smaller; also the largest misfit a parent is computed for, 5 degree when not given
tol None the width of the angles over which the probability falls from 1 to 0, by default the threshold (MATLAB’s tolerance)
minFit inf a triple point votes only when its best fit is below this angle
maxFit -inf a triple point votes only when its second best fit is above this angle
bestFit False the vote of a grain is the best fit per variant, an angle, instead of a probability
count False the vote of a grain is the number of fits per variant below the threshold

See also

parentGrainReconstructor.calcParentFromVote, parentGrainReconstructor.calcGBVotes, TriplePointBasedReconstruction

Used on

TriplePointBasedReconstruction

MATLAB’s parentGrainReconstructor.calcTPVotes

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/parentGrainReconstructor.calcTPVotes_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.