Generating random texture with mtex

[Mehdi Hamid]

 I am wondering if I can generate random texture with Mtex 3.5.0? I am trying to generate Euler angles to generate a random structure but when I am importing my data as EBSD data the pole figures intensity is above 1 which shows the texture has some sort of pattern. I am told that Mtex has the ability to generate this type of random texture.
below you can find the code I am using to plot the pole figures. attached you can see the pole figure that I am getting from a texture with 1000 grains. Can you please help me with this?
Thanks

cs=symmetry('cubic');
>> h=[Miller(1,0,0),Miller(1,1,0),Miller(1,1,1)]
 
h = Miller (show methods, plot)
  size: 1 x 3
  symmetry: triclinic
  h 1 1 1
  k 0 1 1
  l 0 0 1
>> odf=calcODF(ebsd);
 performing kernel density estimation
 kernel: de la Vallee Poussin, hw = 10°
 construct Fourier odf
>> odf
 
odf = ODF (show methods, plot)
  crystal symmetry: unkown (cubic)
  sample symmetry : triclinic
 
  Portion specified by Fourier coefficients:
    degree: 28
    weight: 1
 
>> plotpdf(odf,h,'antipodal')

[Rüdiger Kilian]

Hi Mehdi,
I can't really recall the mtex3.5 syntax, but proabably something like:
% for mtex3.5
cs=symmetry('432');
ss=symmetry('-1');
odf=uniformODF(cs,ss)
ebsd=calcEBSD(odf,1000)
% im not sure if calcOrientation or discreteSample already existed

% or with recent versions of mtex:
cs=crystalSymmetry('321')
odf=uniformODF(cs)
o=discreteSample(odf,1000)
%or even just:
o=orientation.rand(1000,cs)

Of course you will see intensities larger 1 on a pole figure if you estiamte the density from a limited number of orientations, e.g. 1000, maybe with a kernel that is a little too narrow , but if you plot the uniformODF, you can see that the density you sample from is 1.

I hope this helps,
Rüdiger

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From: mtex...@googlegroups.com [mtex...@googlegroups.com] on behalf of Mehdi Hamid [mehdi....@gmail.com]
Sent: Saturday, September 24, 2016 11:10 PM
To: MTEX
Subject: {MTEX} Generating random texture with mtex

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