----
-
-## {{ page.title }}
-
-
-
-#### {{ page.author }}
-
-#### {{ page.date | | date: "%I %M %p ,%a, %b %d %Y"}}
-
-{{ page.horizontal }}
-
-
-## F11 to Fullscreen!
-
-Showcasing Presentation Features. This template is ideal for very quickly creating decent presentations when content and simplicity is more important than excessive styling.
-
-{{ page.horizontal }}
-
-Seperate with {% raw %}{{ page.horizontal }}{% endraw %} between content for horizontal slides.
-
-{{ page.vertical }}
-
-Seperate with {% raw %}{{ page.vertical }}{% endraw %} between content for vertical slides.
-
-{{ page.horizontal }}
-
-Press ESC for a zoomed out overview of the presentation.
-
-{{ page.horizontal }}
-
-Press B to pause the presentation.
-
-{{ page.horizontal }}
-
-# Header 1
-
-## Header 2
-
-### Header 3
-
-{{ page.horizontal }}
-
-# Styling
-
-**Bold**
-
-*Italics*
-
-***Bold and Italics***
-
-{{ page.horizontal }}
-
-Use MathJax for Math.
-
-$$ A = \pi r^2 $$
-
-{{ page.horizontal }}
-
-# Lists
-
-1. Item 1
-
-2. Item 2
-
-3. Item
-
-{{ page.horizontal }}
-
-# Links
-
-[In-Line](https://www.google.com)
-
-[I'm a reference-style link 1][1]
-
-[I'm a reference-style link 1][2]
-
-[1]:https://www.mozilla.org
-[2]:http://www.reddit.com
-
-{{ page.horizontal }}
-
-# Images
-
-Alt-Click to zoom.
-
-
-
-{{ page.horizontal }}
-
-# Code
-
-Inline `code`.
-
-{{ page.vertical }}
-
-# Code Block
-
- import numpy as np
- def _set_colors():
- HighRGB = np.array([26, 152, 80]) / 255.
-
-{{ page.horizontal }}
-
-# Quotes
-
-> War does not decide who is right, only who is **left**.
-
-{{ page.horizontal }}
-
-# HTML
-
-Now, you CAN write in HTML using this template. If you want to create HTML presentations using this framework head over to [reveal.js](http://lab.hakim.se/reveal-js/#/) for reference. For a power-point like interactive tool for creating presentations with this theme, check [slides.com](http://slides.com/).
-
-{{ page.vertical }}
-
-# Some HTML Functionality
-
-## Color and Alignment
-
-This text is centered.
-
-This is a red text with blue and green inline text.
-
-{{ page.horizontal }}
-
-## STL
-
-
-
-{{ page.horizontal }}
-
-## Data Projector
-
-
diff --git a/_posts/2016-05-02-New-Projector.markdown b/_posts/2016-05-02-New-Projector.markdown
deleted file mode 100644
index 358ad65..0000000
--- a/_posts/2016-05-02-New-Projector.markdown
+++ /dev/null
@@ -1,9 +0,0 @@
----
-layout: projector
-title: New Projector
-author: Ahmet Cecen
-tags: projector visualization template
-subtitle: Some Short Description of Projector
-
-dataset: /projectors/data.json
----
diff --git a/_posts/2016-05-02-New-Surface-Visualization.markdown b/_posts/2016-05-02-New-Surface-Visualization.markdown
deleted file mode 100644
index d684f20..0000000
--- a/_posts/2016-05-02-New-Surface-Visualization.markdown
+++ /dev/null
@@ -1,10 +0,0 @@
----
-layout: plysurface
-title: New Surface Visualization
-author: Ahmet Cecen
-tags: plysurface visualization template
-subtitle: Some Short Description of the Visualization
-
-plydata: /ply/ChunkColoredWeb.ply
----
-
diff --git a/_posts/2016-05-10-handshaking.markdown b/_posts/2016-05-10-handshaking.markdown
new file mode 100644
index 0000000..191f55f
--- /dev/null
+++ b/_posts/2016-05-10-handshaking.markdown
@@ -0,0 +1,40 @@
+---
+layout: post
+title: Dataset Handshaking
+author: Ahmet Cecen
+tags: post template
+subtitle: Some Short Description of Post
+date: 2016-05-10 02:00
+---
+
+
+# Table of Contents
+
+* TOC
+{:toc}
+
+# New Data, Why?
+
+Dataset origin.
+
+# Length Scale Problem
+
+Describe problem.
+
+
+
+# Using Chord Length Distribution to Handshake Length Scales
+
+Original difference in length scales.
+
+Fit lognormal.
+
+$$ \ln\mathcal{N}(\mu,\,\sigma^2) = \frac{1}{x\sigma\sqrt{2\pi}}\ e^{-\frac{\left(\ln x-\mu\right)^2}{2\sigma^2}} $$
+
+
+
+Scaling based on Lognormal Fit parameters.
+
+
+
+
diff --git a/_posts/2016-05-10-matlabpost.md b/_posts/2016-05-10-matlabpost.md
new file mode 100644
index 0000000..d1e0833
--- /dev/null
+++ b/_posts/2016-05-10-matlabpost.md
@@ -0,0 +1,114 @@
+---
+layout: post
+title: Microstructural Analysis
+date: 2016-05-10 01:00
+author: Evdokia Popova
+tags: matlab workflows
+subtitle: Back of the envelope exploration of data.
+visualworkflow: true
+---
+{% if page.visualworkflow == true %}
+ {% include workflowmatlab.html %}
+{% endif %}
+
+
+Load Image of Grain Boundaries Obtained from TSL OIM
+Explain what TSL OIM is?
+
+{% highlight matlab %}
+
+load amgr_scaled.mat amgr2
+amgr2(amgr2==255)=1;
+amgr2=amgr2+1;
+amgr2(amgr2==2)=0;
+
+figure;
+imagesc(amgr2); colormap gray; set(gcf, 'Position', [100, 100, 1049, 895]);
+axis image; axis off
+{% endhighlight %}
+
+
+Subsample into 4 Regions
+In order to obtain a quick survey of in-sample variance.
+
+{% highlight matlab %}
+
+n1=size(amgr2,1)-1;
+n2=size(amgr2,2);
+n11=floor(n1/2);
+n22=floor(n2/2);
+
+data=amgr2;
+q=zeros(4,n11,n22);
+q(1,:,:)=data(1:n11, 1:n22);
+q(2,:,:)=data(1:n11, n22+1:n2);
+q(3,:,:)=data(n11+1:n1, 1:n22);
+q(4,:,:)=data(n11+1:n1,n22+1:n2);
+{% endhighlight %}
+Chord Length Distribution - CLD
+Calculate CLD of each subsample and compare with full sized image to visualize variance.
+
+{% highlight matlab %}
+
+figure('DefaultAxesFontSize',16)
+for i=1:4
+ data=squeeze(q(i,:,:));
+ hist=CLDXX(data,0);
+ p(i)=plot(hist(:,1),':b'); hold on
+end
+
+hist=CLDXX(amgr2,0);
+p(5)=plot(hist(:,1),'LineWidth',1.5);
+xlabel('Chord Length')
+ylabel('Frequency')
+axis([0,140,0,0.035])
+grid on
+title('CLDs of subsampled AM + Full image');
+legend([p(1),p(5)],'Subsamples','Full')
+{% endhighlight %}
+
+
+
+Compate CLD in X and Y directions to get a quick measure of anisotropy.
+
+{% highlight matlab %}
+
+figure('DefaultAxesFontSize',16)
+plot(hist,'LineWidth',1.5);
+xlabel('Chord Length')
+ylabel('Frequency')
+axis([0,140,0,0.035])
+grid on
+title('CLDs of Full image');
+legend('X direction','Y direction')
+{% endhighlight %}
+
+
+2-point Statistics
+Reveal directional structural trends in the grain boundaries.
+
+{% highlight matlab %}
+
+for i=1:4
+ data=squeeze(q(i,:,:));
+ Q2pt=noob2ptauto(data,0);
+end
+
+figure;
+imagesc(Q2pt)
+axis image
+title('2 point statistics - Autocorrelation of grain boundaries')
+ax = gca;
+ax.XTick = [200 225 250 275 300];
+ax.YTick = [200 225 250 275 300];
+ax.XTickLabel = {'-50','-25','0','25','50'};
+ax.YTickLabel = {'-50','-25','0','25','50'};
+axis([200,300,200,300]);
+{% endhighlight %}
+
+
+
+
Published with MATLAB® R2014b
diff --git a/img/316L_AM_IPF.png b/img/316L_AM_IPF.png
new file mode 100644
index 0000000..41102fb
Binary files /dev/null and b/img/316L_AM_IPF.png differ
diff --git a/img/AMvsOriginalCLD.png b/img/AMvsOriginalCLD.png
new file mode 100644
index 0000000..19d5b38
Binary files /dev/null and b/img/AMvsOriginalCLD.png differ
diff --git a/img/AMvsStrecthedCLD.png b/img/AMvsStrecthedCLD.png
new file mode 100644
index 0000000..be95e61
Binary files /dev/null and b/img/AMvsStrecthedCLD.png differ
diff --git a/img/LengthScales.png b/img/LengthScales.png
new file mode 100644
index 0000000..c6436ff
Binary files /dev/null and b/img/LengthScales.png differ