Issue with `colorrange`

[AmitS07]

What do you want to do? I want to plot the pole figure with customize MRD scale What data do you have? I did use `colorrange' command in the plotPDF option to do the same. I am able to do that, but the plots look very much bizarre. See the plots below What code do you use? The script is here

%% code to plot Texture form orientation file%%
CS = crystalSymmetry('hexagonal');
SS = specimenSymmetry('monoclinic');
pf = readmatrix('caxis_1000text.txt'); 
ori = loadOrientation_generic(pf,'CS',CS,'SS',SS, 'ColumnNames', ...
{'Euler1' 'Euler2' 'Euler3'},'Columns',[1,2,3],'Bunge');
odf = calcDensity(ori);
% PF plot
h = Miller({0,0,0,1},ori.CS);
plotPDF(odf,h, 'projection', 'eangle','antipodal', 'false','contourf','colorrange',[0 30],'complete', 'upper')  % 'colorRange','equal' for only on ecolor map
mtexColorMap('viridis')
mtexColorbar
figure()

What result do you get

1. PF plots with colorrange

2. PF plots without colorrange What result do you expect

Error Message There was not any error message

What MTEX version do you use? MTEX 5.8.1

[kilir]

Hi Amit, from the density estimation, you get very small fluctuations around 0. If you choose to set the first contour at exactly 0, you will see those. If you add 'minmax' you get an idea how below 0 those might be.

Cheers, Rüdiger

[AmitS07]

Hello Dr. Rudiger,

Thanks for reply. I tried with minmax , but issue still remains the same. My doubt is, while I am able to see those discrete contours? With minmax I am able to see the lower and upper bound of MRD/desnity scale. I also tried to plot directly from ori, with out odf calculation and the results are as shown below. I mean the problem remains the same. The script to plot pf is this:

CS = crystalSymmetry('hexagonal'); SS = specimenSymmetry('monoclinic'); pf = readmatrix('caxis_1000text.txt'); %pf = normalize(pf) : I think higher mrd might be due to normalization of the poles/orientations ori = loadOrientation_generic(pf,'CS',CS,'SS',SS, 'ColumnNames', ... {'Euler1' 'Euler2' 'Euler3'},'Columns',[1,2,3],'Bunge', 'halfwidth',10*degree); h = Miller({0,0,0,1},ori.CS); plotPDF(ori,h, 'projection', 'eangle','antipodal', 'false', 'contourf','complete', 'upper','colorrange',[0 60]) mtexColorMap('viridis') mtexColorbar

[kilir]

Since your texture is very sharp, using a small kernel is somewhat appropriate. Hence it's also difficult to omit those insignificant negative values. If you don't want to see them, you could set the poition of your smallest contour differently e.g smaller or larger. Cheers, Rüdiger