Re #50 Better reference to Nevot-Croche

Author: abuts

source/advanced/resampling.rst

@@ -4,7 +4,7 @@
 Profile Resampling ('microslicing')
 ===================================
 
-The :ref:`Nevot-Croce roughness approximation <Nevot-Croce>` only strictly holds for cases where the interface roughness is much less than the layer thickness. The usual way
+The `Nevot-Croce roughness approximation <https://www.reflectometry.org/learn/3_reflectometry_slab_models/roughness_and_microslicing.html>`_ only strictly holds for cases where the interface roughness is much less than the layer thickness. The usual way
 of handling cases where this approximation does not hold is to split the interfaces into a large number of layers of zero roughness, so that the roughness problem
 is circumvented:
 
@@ -18,7 +18,7 @@ This problem of finding the lowest number of individual points that will complet
 borrowed from signal processing called Adaptive Resampling (AR).
 
 AR is an interactive process which aims to find the lowest number of points that will best describe a curve. It does this by adding points where the angle between neighbouring
-points becomes smaller than a threshold value. So, it adds more points where the signal is changing most strongly (in order to capture all details of the curvature). So, for a
+points becomes smaller than a threshold value. So, it adds more points where the signal's gradient is changing most strongly (in order to capture all details of the curvature). So, for a
 cosine wave, the resampled points cluster at the regions of the largest curvature:
 
 .. image:: ../images/advanced/adaptiveSpPic.png

source/tutorial/customModels.rst

@@ -537,13 +537,11 @@ and another b = [b1, b2, b3], then [a ; b] produces an array that looks like thi
 
    \begin{bmatrix} a_\mathrm{1} & a_\mathrm{2} & a_\mathrm{3} \\ b_\mathrm{1} & b_\mathrm{2} & b_\mathrm{3} \end{bmatrix}
 
-.. _Nevot-Croce:
-
 In other words, the entire purpose of our custom layer file is to take our parameters in a scientifically useful form 
 (e.g. Area per Lipid in our case), and to translate these into a list of :math:`[d, \rho, \sigma]` layers for the whole interface. 
 You have complete freedom in how you do this, which means that you can make any kind of layer model you can think of using a custom layers file, 
 including layers that are mixtures of adjoining layers and so on. As long as you can describe your 
-system as layers with an error function (i.e. `Nevot-Croce <https://en.wikipedia.org/wiki/Transfer-matrix_method_(optics)>`_) roughness you can describe them using custom layer modelling.
+system as layers with an error function (i.e. `Nevot-Croce <https://www.reflectometry.org/learn/3_reflectometry_slab_models/roughness_and_microslicing.html>`_) roughness you can describe them using custom layer modelling.
 
 The rest of the custom model is defined similar to the standard layers model shown in :ref:`project`. 
 So, since we want to analyse three contrasts simultaneously, we need the following: