sort ref/sim/scatter2d; split Monte-Carlo example

hugo/content/ex/sim/scatter2d/born-approximation.md

 +++
 title = "without DWBA terms"
-weight = 10
+weight = 15
 +++
 
 ## GISAS without DWBA terms

hugo/content/ex/sim/scatter2d/gisas.md

 +++
 title = "GISAS"
-weight = 30
+weight = 10
 +++
 
 ## GISAS simulation example

hugo/content/ex/sim/scatter2d/mc.md

++++
+title = "Monte-Carlo"
+weight = 80
++++
+
+## Scattering by large particles with Monte-Carlo integration
+
+Reference: [Monte-Carlo](/ref/sim/setup/options/mc)
+
+This example demonstrates that for large particles (~$1000$ nm) the contribution to the scattered intensity from the form factor oscillates rapidly within one detector bin and analytical calculations (performed for the bin center) give completely a wrong intensity pattern. In this case Monte-Carlo integrations over detector bin should be used.
+
+The simulation generates four plots using different sizes of the particles, (radius $=10$ nm, height $=20$ nm) or (radius $=1$ $\mu$m, height $=2$ $\mu$m), and different calculation methods: analytical calculations or Monte-Carlo integration. The other parameters are identical:
+
+* The sample is made of a monodisperse distribution of cylinders, deposited randomly on a substrate.
+* There is no interference between the scattered waves.
+* The wavelength is equal to 0.1 nm.
+* The incident angles are $\alpha\_i = 0.2 ^{\circ}$ and $\varphi\_i = 0^{\circ}$.
+
+{{< galleryscg >}}
+{{< figscg src="/img/draw/LargeParticlesFormFactor_setup.jpg" width="700px" caption="Real-space model">}}
+{{< figscg src="/img/auto/scatter2d/LargeParticlesFormFactor.png" width="350px" caption="Intensity image">}}
+{{< /galleryscg >}}
+
+{{< show-ex file="scatter2d/LargeParticlesFormFactor.py" >}}

hugo/content/ex/sim/scatter2d/polarized_sans.md

 +++
 title = "Polarized SANS"
-weight = 40
+weight = 45
 +++
 
 ### Polarized SANS

hugo/content/ref/sim/setup/options/mc/index.md

@@ -15,20 +15,4 @@ simulation.options().setMonteCarloIntegration(True, n)
 ```
 where `n` is the number of scattering intensity evaluations per pixel.
 
-#### Usage example: large qr
-
+Example: [Monte-Carlo](/ex/sim/scatter2d/mc).
\ No newline at end of file
-This example demonstrates that for large particles (~$1000$ nm) the contribution to the scattered intensity from the form factor oscillates rapidly within one detector bin and analytical calculations (performed for the bin center) give completely a wrong intensity pattern. In this case Monte-Carlo integrations over detector bin should be used.
-
-The simulation generates four plots using different sizes of the particles, (radius $=10$ nm, height $=20$ nm) or (radius $=1$ $\mu$m, height $=2$ $\mu$m), and different calculation methods: analytical calculations or Monte-Carlo integration. The other parameters are identical:
-
-* The sample is made of a monodisperse distribution of cylinders, deposited randomly on a substrate.
-* There is no interference between the scattered waves.
-* The wavelength is equal to 0.1 nm.
-* The incident angles are $\alpha\_i = 0.2 ^{\circ}$ and $\varphi\_i = 0^{\circ}$.
-
-{{< galleryscg >}}
-{{< figscg src="/img/draw/LargeParticlesFormFactor_setup.jpg" width="700px" caption="Real-space model">}}
-{{< figscg src="/img/auto/scatter2d/LargeParticlesFormFactor.png" width="350px" caption="Intensity image">}}
-{{< /galleryscg >}}
-
-{{< show-ex file="scatter2d/LargeParticlesFormFactor.py" >}}