From 357e9f26922f1fb45bf230d4e1304459dbd182a2 Mon Sep 17 00:00:00 2001
From: "Joachim Wuttke (o)" <j.wuttke@fz-juelich.de>
Date: Tue, 17 Feb 2015 18:44:17 +0100
Subject: [PATCH] moved figures used by the outcommented AppendixPythonEx.tex
to directory py-ex/.
---
Doc/UserManual/AppendixPythonEx.tex | 80 +++++++++---------
.../Figures/{ => py-ex}/fig_ex001.jpg | Bin
.../Figures/{ => py-ex}/fig_ex002.jpg | Bin
.../Figures/{ => py-ex}/fig_ex003BA.jpg | Bin
.../Figures/{ => py-ex}/fig_ex003BASize.jpg | Bin
.../Figures/{ => py-ex}/fig_ex003DWBA.jpg | Bin
.../Figures/{ => py-ex}/fig_ex005Dis1.jpg | Bin
.../Figures/{ => py-ex}/fig_ex005Dis2.jpg | Bin
.../Figures/{ => py-ex}/fig_ex005Dis3.jpg | Bin
.../Figures/{ => py-ex}/fig_ex005Dis4.jpg | Bin
.../Figures/{ => py-ex}/fig_ex005Dis4rand.jpg | Bin
.../Figures/{ => py-ex}/fig_ex006Pyramids.jpg | Bin
.../{ => py-ex}/fig_ex006RotatedPyramids.jpg | Bin
.../Figures/{ => py-ex}/fig_ex007Core.jpg | Bin
.../Figures/{ => py-ex}/fig_ex008Rough.jpg | Bin
.../Figures/{ => py-ex}/fig_ex009Cos.jpg | Bin
.../Figures/{ => py-ex}/fig_ex009Tri.jpg | Bin
.../Figures/{ => py-ex}/fig_ex010BeamDiv.jpg | Bin
.../Figures/{ => py-ex}/figure_ex001.eps | 0
.../Figures/{ => py-ex}/figure_ex002.eps | 0
.../Figures/{ => py-ex}/figure_ex003BA.eps | 0
.../{ => py-ex}/figure_ex003BASize.eps | 0
.../Figures/{ => py-ex}/figure_ex003DWBA.eps | 0
.../Figures/{ => py-ex}/figure_ex0041DDL.eps | 0
.../Figures/{ => py-ex}/figure_ex0042DDL.eps | 0
.../{ => py-ex}/figure_ex0042DDLsq.eps | 0
.../{ => py-ex}/figure_ex005Disorder1.eps | 0
.../{ => py-ex}/figure_ex005Disorder2.eps | 0
.../{ => py-ex}/figure_ex005Disorder3.eps | 0
.../{ => py-ex}/figure_ex005Disorder4.eps | 0
.../{ => py-ex}/figure_ex006Pyramids.eps | 0
.../figure_ex006RotatedPyramids.eps | 0
.../{ => py-ex}/figure_ex007CoreShell.eps | 0
.../figure_ex008CorrelatedRough.eps | 0
.../figure_ex009CosRipple2DLat.eps | 0
.../figure_ex009CosRippleNoInterf.eps | 0
.../figure_ex009TriRipple2DLat.eps | 0
.../figure_ex009TriRippleNoInterf.eps | 0
.../{ => py-ex}/figure_ex010BeamDiv.eps | 0
39 files changed, 40 insertions(+), 40 deletions(-)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex001.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex002.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex003BA.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex003BASize.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex003DWBA.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex005Dis1.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex005Dis2.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex005Dis3.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex005Dis4.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex005Dis4rand.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex006Pyramids.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex006RotatedPyramids.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex007Core.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex008Rough.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex009Cos.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex009Tri.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/fig_ex010BeamDiv.jpg (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex001.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex002.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex003BA.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex003BASize.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex003DWBA.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex0041DDL.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex0042DDL.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex0042DDLsq.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex005Disorder1.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex005Disorder2.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex005Disorder3.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex005Disorder4.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex006Pyramids.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex006RotatedPyramids.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex007CoreShell.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex008CorrelatedRough.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex009CosRipple2DLat.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex009CosRippleNoInterf.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex009TriRipple2DLat.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex009TriRippleNoInterf.eps (100%)
rename Doc/UserManual/Figures/{ => py-ex}/figure_ex010BeamDiv.eps (100%)
diff --git a/Doc/UserManual/AppendixPythonEx.tex b/Doc/UserManual/AppendixPythonEx.tex
index 381a39c13f2..b3bb271315f 100644
--- a/Doc/UserManual/AppendixPythonEx.tex
+++ b/Doc/UserManual/AppendixPythonEx.tex
@@ -7,7 +7,7 @@ This appendix describes the samples and the simulated output intensity maps of t
\begin{figure}[H]
\begin{center}
-\includegraphics[width=0.6\textwidth]{Figures/BAgeometry_wide}
+\includegraphics[width=0.6\textwidth]{Figures/py-ex/BAgeometry_wide}
\end{center}
\caption{The GISAS setup and the coordinate system used in
\BornAgain. The incoming beam propagates with incidence angles $\alpha_i$ and $\phi_i$ with respect to the sample axes as shown. A scattered (outgoing) beam, characterized by $\alpha_f$ and $\phi_f$ propagates toward the area detector.}
@@ -53,9 +53,9 @@ The simulation is performed using the Distorted Wave Born Approximation. The out
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex001}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex001}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex001.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex001.eps}}
\hfill
\caption{Example 1: equal proportion of cylinders and prisms3 deposited on a substrate without interference.}
\label{fig:PythonEx1}
@@ -81,9 +81,9 @@ The result of the simulation is shown in fig.~\ref{fig:PythonEx2}(b).
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex002}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex002}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex002.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex002.eps}}
\hfill
\caption{Example 2: Polydisperse distribution of two types of cylinders.}
\label{fig:PythonEx2}
@@ -100,9 +100,9 @@ The sample considered for this example and the output intensity generated using
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex003BA}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex003BA}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex003BA.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex003BA.eps}}
\hfill
\caption{Example 3: Scattering from a monodisperse distribution of cylinders using the Born approximation.}
\label{fig:PythonEx3BA}
@@ -113,9 +113,9 @@ This example considers a polydisperse distribution of cylinders (see fig.~\ref{f
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex003BASize}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex003BASize}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex003BASize.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex003BASize.eps}}
\hfill
\caption{Example 3: Scattering from a polydisperse distribution of cylinders using the Born approximation.}
\label{fig:PythonEx3BASize}
@@ -132,9 +132,9 @@ The distribution of cylinders is monodisperse with a height and a radius of 5~nm
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex003DWBA}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex003DWBA}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex003DWBA.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex003DWBA.eps}}
\hfill
\caption{Example 3: Scattering from a monodisperse distribution of cylinders deposited on a substrate using the Distorted Wave Born approximation.}
\label{fig:PythonEx3DWBA}
@@ -161,16 +161,16 @@ S(q_{\parallel})= \frac{1-\phi^2 }{1-2\phi\cos(q_{\parallel} D)+\phi^2} \; \text
\begin{figure}[H]
-\includegraphics[width=.49\textwidth]{Figures/figure_ex0041DDL.eps}
+\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex0041DDL.eps}
\caption{Example 4 - One dimension : Scattering from a distribution of cylinders deposited on a substrate using the Distorted Wave Born approximation, distribution according to a radial paracrystal.}
\label{fig:PythonEx41DDL}
\end{figure}
%\begin{figure}[H]
%\hfill
-%\subfigure[Pair distribution function as function of radial coordinate]{\includegraphics[width=.49\textwidth]{Figures/g_r_1dpara.eps}}
+%\subfigure[Pair distribution function as function of radial coordinate]{\includegraphics[width=.49\textwidth]{Figures/py-ex/g_r_1dpara.eps}}
%\hfill
-%\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex0041DDL.eps}}
+%\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex0041DDL.eps}}
%\hfill
%\caption{Example 4 - One dimension : Scattering from a distribution of cylinders deposited on a substrate using the Distorted Wave Born approximation, distribution according to a radial paracrystal.}
%\label{fig:PythonEx41DDL}
@@ -185,9 +185,9 @@ The distribution function is a two-dimensional Cauchy function with correlation
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/g_r_2dparasq}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/g_r_2dparasq}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex0042DDLsq.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex0042DDLsq.eps}}
\hfill
\caption{Output ex004 2DDL.}
%\label{}
@@ -211,9 +211,9 @@ The simulation is run using the DWBA.
% question: LMA with constant size of particles??
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex005Dis1}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex005Dis1}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex005Disorder1.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex005Disorder1.eps}}
\hfill
\caption{Example 005 - Disorder1: Scattering from a monodisperse distribution of cylinders deposited on a substrate along a squared lattice using the Distorted Wave Born approximation.}
\label{fig:PythonEx5Dis1}
@@ -224,9 +224,9 @@ This sample differs from the previous one by an overlap of two spatial distribut
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex005Dis2}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex005Dis2}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex005Disorder2.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex005Disorder2.eps}}
\hfill
\caption{Example 005 - Disorder2: Scattering from two monodisperse distributions of cylinders deposited on a substrate along a squared lattice using the Distorted Wave Born approximation. One of the lattices is laterally offset with respect to the other by 12.5~nm along the $x-$ and $y-$ axes.}
\label{fig:PythonEx5Dis2}
@@ -239,9 +239,9 @@ Compared to Section~\ref{sec:ex005Dis1}, the square lattice used in this example
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex005Dis3}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex005Dis3}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex005Disorder3.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex005Disorder3.eps}}
\hfill
\caption{Example 005 - Disorder3: Scattering from a monodisperse distribution of cylinders deposited on a substrate along a squared lattice using the Distorted Wave Born approximation. The main axes of the square lattice are rotated by 30$^{\circ}$ with respect to the main referential.}
\label{fig:PythonEx5Dis3}
@@ -253,9 +253,9 @@ This sample is composed of identical cylinders. Their distribution is generated
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex005Dis4rand}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex005Dis4rand}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex005Disorder4.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex005Disorder4.eps}}
\hfill
\caption{Example 005 - Disorder4: Scattering from a monodisperse distribution of cylinders deposited on a substrate.}
\label{fig:PythonEx5Dis4}
@@ -271,9 +271,9 @@ For the second example, shown in fig.~\ref{fig:PythonEx6RotatedPyramid}, the pyr
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex006Pyramids}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex006Pyramids}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex006Pyramids.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex006Pyramids.eps}}
\hfill
\caption{Example 6: Pyramids deposited on a substrate.}
\label{fig:PythonEx6Pyramid}
@@ -281,9 +281,9 @@ For the second example, shown in fig.~\ref{fig:PythonEx6RotatedPyramid}, the pyr
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex006RotatedPyramids}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex006RotatedPyramids}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex006RotatedPyramids.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex006RotatedPyramids.eps}}
\hfill
\caption{Example 6: Rotated pyramids deposited on a substrate.}
\label{fig:PythonEx6RotatedPyramid}
@@ -301,9 +301,9 @@ The incident beam is characterized by a wavelength of 1~\AA, incident angles $\a
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex007Core}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex007Core}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex007CoreShell.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex007CoreShell.eps}}
\hfill
\caption{Example 7: Core-shell particles simulated using the Born approximation. The particle at the forefront had been truncated in order to illustrate the core-shell structure.}
\label{fig:PythonEx7Core}
@@ -336,9 +336,9 @@ There is no added particle. All layers present the same type of roughness on the
The incident beam is characterized by a wavelength of 1~\AA \ and incident angles $\alpha_i=0.2^{\circ}$ and $\phi_i=0^{\circ}$.
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex008Rough}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex008Rough}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex008CorrelatedRough.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex008CorrelatedRough.eps}}
\hfill
\caption{Example 8: Correlated roughness between layers.}
\label{fig:PythonEx8Rough}
@@ -361,9 +361,9 @@ The interference considered is a two-dimensional orthogonal lattice with $L_1=20
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex009Cos}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex009Cos}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex009CosRipple2DLat.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex009CosRipple2DLat.eps}}
\hfill
\caption{Example 9: Scattering from a distribution of cosine ripples deposited on a substrate along a rectangular lattice.}
\label{fig:PythonEx9CosRipple}
@@ -373,7 +373,7 @@ The influence of the interference function on the output pattern can be seen by
\begin{figure}[H]
\begin{center}
-\includegraphics[width=0.5\textwidth]{Figures/figure_ex009CosRippleNoInterf.eps}
+\includegraphics[width=0.5\textwidth]{Figures/py-ex/figure_ex009CosRippleNoInterf.eps}
\end{center}
\caption{Example 9: Scattering from a distribution of cosine ripples deposited on a substrate with no interference.}
\label{fig:PythonEx9CosRipplenointerf}
@@ -384,9 +384,9 @@ The influence of the interference function on the output pattern can be seen by
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex009Tri}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex009Tri}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex009TriRipple2DLat.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex009TriRipple2DLat.eps}}
\hfill
\caption{Example 9: Scattering from a distribution of triangular ripples deposited on a substrate with no interference.}
\label{fig:PythonEx9TriangRipple}
@@ -396,7 +396,7 @@ Figure~\ref{fig:PythonEx9TriRipplenointerf} was generated with asymmetrical tria
\begin{figure}[H]
\begin{center}
-\includegraphics[width=0.5\textwidth]{Figures/figure_ex009TriRippleNoInterf.eps}
+\includegraphics[width=0.5\textwidth]{Figures/py-ex/figure_ex009TriRippleNoInterf.eps}
\end{center}
\caption{Example 9: Scattering from a distribution of triangular ripples deposited on a substrate with no interference.}
\label{fig:PythonEx9TriRipplenointerf}
@@ -415,9 +415,9 @@ The sample is made of cylinders (5~nm in radius and height) deposited on a subst
\begin{figure}[H]
\hfill
-\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/fig_ex010BeamDiv}}
+\subfigure[Schematic of the sample]{\includegraphics[width=.49\textwidth]{Figures/py-ex/fig_ex010BeamDiv}}
\hfill
-\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/figure_ex010BeamDiv.eps}}
+\subfigure[Simulated 2D pattern]{\includegraphics[width=.49\textwidth]{Figures/py-ex/figure_ex010BeamDiv.eps}}
\hfill
\caption{Example 10: An input beam presented a divergence for the wavelength and the incident angles impinges on a sample made of monodisperse cylinders deposited on a substrate.}
\label{fig:PythonEx10BeamDiv}
diff --git a/Doc/UserManual/Figures/fig_ex001.jpg b/Doc/UserManual/Figures/py-ex/fig_ex001.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex001.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex001.jpg
diff --git a/Doc/UserManual/Figures/fig_ex002.jpg b/Doc/UserManual/Figures/py-ex/fig_ex002.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex002.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex002.jpg
diff --git a/Doc/UserManual/Figures/fig_ex003BA.jpg b/Doc/UserManual/Figures/py-ex/fig_ex003BA.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex003BA.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex003BA.jpg
diff --git a/Doc/UserManual/Figures/fig_ex003BASize.jpg b/Doc/UserManual/Figures/py-ex/fig_ex003BASize.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex003BASize.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex003BASize.jpg
diff --git a/Doc/UserManual/Figures/fig_ex003DWBA.jpg b/Doc/UserManual/Figures/py-ex/fig_ex003DWBA.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex003DWBA.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex003DWBA.jpg
diff --git a/Doc/UserManual/Figures/fig_ex005Dis1.jpg b/Doc/UserManual/Figures/py-ex/fig_ex005Dis1.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex005Dis1.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex005Dis1.jpg
diff --git a/Doc/UserManual/Figures/fig_ex005Dis2.jpg b/Doc/UserManual/Figures/py-ex/fig_ex005Dis2.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex005Dis2.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex005Dis2.jpg
diff --git a/Doc/UserManual/Figures/fig_ex005Dis3.jpg b/Doc/UserManual/Figures/py-ex/fig_ex005Dis3.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex005Dis3.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex005Dis3.jpg
diff --git a/Doc/UserManual/Figures/fig_ex005Dis4.jpg b/Doc/UserManual/Figures/py-ex/fig_ex005Dis4.jpg
similarity index 100%
rename from Doc/UserManual/Figures/fig_ex005Dis4.jpg
rename to Doc/UserManual/Figures/py-ex/fig_ex005Dis4.jpg
diff --git a/Doc/UserManual/Figures/fig_ex005Dis4rand.jpg b/Doc/UserManual/Figures/py-ex/fig_ex005Dis4rand.jpg
similarity index 100%
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