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Posted by edward on September 03, 2013 - 16:00:
Author: bugman
Date: Tue Sep  3 16:00:57 2013
New Revision: 20772

URL: http://svn.gna.org/viewcvs/relax?rev=20772&view=rev
Log:
The tutorial for adding dispersion models in the user manual has been 
simplified.

Most of the text from the dispersion model addition tutorial in the 
dispersion chapter of the manual
has been removed.  Instead a link to the tutorial on the wiki is given as 
this is a much better
place for such information
(http://wiki.nmr-relax.com/Tutorial_for_adding_relaxation_dispersion_models_to_relax).


Modified:
    branches/relax_disp/docs/latex/dispersion.tex

Modified: branches/relax_disp/docs/latex/dispersion.tex
URL: 
http://svn.gna.org/viewcvs/relax/branches/relax_disp/docs/latex/dispersion.tex?rev=20772&r1=20771&r2=20772&view=diff
==============================================================================
--- branches/relax_disp/docs/latex/dispersion.tex (original)
+++ branches/relax_disp/docs/latex/dispersion.tex Tue Sep  3 16:00:57 2013
@@ -1054,106 +1054,4 @@
 \section{Tutorial for adding relaxation dispersion models}
 \label{sect: dispersion: model tutorial}
 
-The following is a tutorial for adding new relaxation dispersion models for 
either CPMG-type\index{relaxation dispersion!CPMG-type experiment} or 
$\Ronerho$-type\index{relaxation dispersion!$\Ronerho$-type experiment} 
experiments to relax.  This includes both the models based on the analytical, 
closed-form expressions as well as the models involving numerical solutions 
of the Bloch-McConnell equations.  The tutorial is designed for those who 
feel adventurous enough to become a relax developer.  This text derives from 
the relax-devel@xxxxxxx mailing list post:
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.devel/3907}{http://article.gmane.org/gmane.science.nmr.relax.devel/3907}.
-
-The tutorial will follow the example of the addition of the `M61' 
model\index{relaxation dispersion!M61 model} already present within relax, 
pointing to the relevant commits for reference.  To see the commit message 
and the code changes in colour, click on the links found within these commit 
messages.  This specific case is the \citet{Meiboom61} analytic model for 
2-site fast exchange equation for $\Ronerho$-type experiments.
-
-
-\subsection{Adding the model to the list}
-
-Reference commit:  
\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17611}{http://article.gmane.org/gmane.science.nmr.relax.scm/17611}
-
-Firstly the model should be added to the lists of the 
\module{specific\_analyses.relax\_disp.\linebreak[0]{}variables} module.  The 
model name is stored in a special variable which will be used throughout 
relax.
-
-
-\subsection{The \uf{relax\_disp.select\_model} user function front end}
-
-Reference commit:  
\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17612}{http://article.gmane.org/gmane.science.nmr.relax.scm/17612}
-
-The next step is to add the model, its description, the equations for the 
analytic models, and all references to the \uf{relax\_disp.select\_model} 
user function front end.  When the relaxation dispersion chapter of the relax 
manual is created (this will be the 
\file{docs/latex/\linebreak[0]{}relax\_disp.tex} file), then the same 
description should be added there as well.
-
-
-\subsection{The relax library}
-
-Reference commit:  
\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17615}{http://article.gmane.org/gmane.science.nmr.relax.scm/17615}
-
-Now the dispersion function needs to be added to the relax library (in the 
\module{lib.relax\_disp} package).  This should be designed as a simple 
Python function which takes the dispersion parameters and experimental 
variables, and calculates the $\Rtwoeff$/$\Ronerho$ values.  The module can 
contain auxiliary functions for the calculation.  Some auxiliary functions, 
if not specific to relaxation dispersion, may be better placed in other 
locations within the relax library.
-
-The relaxation dispersion functions in the library currently take as an 
argument a data structure for the back-calculated $\Rtwoeff$/$\Ronerho$ 
values and populate this structure.  This design is not essential if the 
target function, described in the next point, handles the library function 
appropriately.  Just look at the files in \module{lib.dispersion} to get an 
idea of the design used.
-
-The dispersion code in the relax library must be robust.  This involves 
identifying parameter values or combinations which would cause failures in 
the mathematical operations.  Numerical issues only present in software 
implementation of the mathematics must be considered.  Note that parameter 
values of 0.0 are common within a grid search.  It should be decided whether 
the back-calculated $\Rtwoeff$/$\Ronerho$ value should be set to zero, to 
another value, or to something large (e.g. 1e$^{100}$).  For example:
-
-\begin{description}
-\item[Divisions:]  Always catch zeros in the denominator with if statements, 
even if you believe that this will never be encountered.
-\item[Square roots:]  Make sure that the value inside is always $> 0$.
-\item[Trigonometric functions:]  These should be tested for where they are 
not defined or where the software implementation can no longer handle certain 
values.  For example try math.cosh(1000) in Python.
-\end{description}
-
-In the reference example, the M61 model\index{relaxation dispersion!M61 
model} code was copied from the LM63 module and modified appropriately.
-
-
-\subsection{The target function}
-
-Reference commits:
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17616}{http://article.gmane.org/gmane.science.nmr.relax.scm/17616}
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17660}{http://article.gmane.org/gmane.science.nmr.relax.scm/17660}
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17661}{http://article.gmane.org/gmane.science.nmr.relax.scm/17661}
-
-The target function is used in optimisation and is a class method which 
takes as a single argument the parameter vector.  This list is changed by the 
minimisation algorithm during optimisation.  The target function should then 
return a single floating point number -- the chi-squared value.
-
-Again in this example, the code for the M61\index{relaxation dispersion!M61 
model} is copied from the LM63 model\index{relaxation dispersion!LM63 model} 
and then modified.
-
-
-\subsection{Adding support for the parameters}
-
-Reference commit:  
\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17573}{http://article.gmane.org/gmane.science.nmr.relax.scm/17573}
-
-This is needed to enable the model.  This example is for the CR72 
model\index{relaxation dispersion!CR72 model} implementation as the 
parameters required for the M61 model\index{relaxation dispersion!M61 model} 
match those of the preexisting LM63 model\index{relaxation dispersion!LM63 
model}.
-
-
-\subsection{The \uf{relax\_disp.select\_model} back end}
-
-Reference commit:  
\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17622}{http://article.gmane.org/gmane.science.nmr.relax.scm/17622}
-
-Now the back end of the \uf{relax\_disp.select\_model} user function for the 
model can be added.  This involved identifying the model and constructing the 
parameter list.
-
-
-\subsection{The test suite}
-\label{sect: test suite for dispersion}
-
-Reference commits:
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17647}{http://article.gmane.org/gmane.science.nmr.relax.scm/17647}
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17648}{http://article.gmane.org/gmane.science.nmr.relax.scm/17648}
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17649}{http://article.gmane.org/gmane.science.nmr.relax.scm/17649}
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17662}{http://article.gmane.org/gmane.science.nmr.relax.scm/17662}
-
-\href{http://article.gmane.org/gmane.science.nmr.relax.scm/17663}{http://article.gmane.org/gmane.science.nmr.relax.scm/17663}
-
-This step is normally performed first.
-This is the most important part that makes sure that the code not only works 
now, but will continue working for the entire lifetime of the relax project.
-Note that if a code path is not tested, it will not considered to be a part 
of relax.
-As relax is in a continuous state of evolution, 
\href{http://en.wikipedia.org/wiki/Bit\_rot}{bit rot} is quite severe and the 
code will likely no longer function after a year or two.
-
-The idea is that synthetic data, here for example as 
Sparky\index{software!Sparky} peak lists, is created for the model and added 
to the test suite directory \directory{test\_suite/shared\_data/dispersion/}. 
 This is then used in a system test to check that the code in relax can 
reproduce the data.  It is very important that the code added to the relax 
library is not used to create the synthetic data!
-
-
-\subsection{Comparing to other software}
-\label{sect: dispersion software comparison}
-
-It can happen that a bug present in the \module{lib.dispersion} package code 
is also replicated in the synthetic data.  This is not uncommon. Therefore it 
is very useful to use other software with the test data from 
subsection~\ref{sect: test suite for dispersion} to see if the original 
parameters can be found.  A good example can be seen in the 
test\_suite/shared\_data/dispersion/Hansen which contains Dr. Flemming 
Hansen's CPMG data (see the \file{README} file) and the results from 
different programs including NESSY\index{software!NESSY}, relax, 
CPMGFit\index{software!CPMGFit}, and ShereKhan\index{software!ShereKhan}.  
The comparison is in the file \file{software\_comparison}.
-
-Once the relax code is able to find identical or better results than the 
dispersion softwares, then the values found in the test suite optimisation 
can be locked in.  The assertEqual() and assertAlmostEqual() methods can be 
used to only allow the test to pass when the correct values are found.
-
-
-\subsection{Debugging}
-
-This step should not require an explanation.  It goes hand-in-hand with the 
steps of subsections~\ref{sect: test suite for dispersion} and~\ref{sect: 
dispersion software comparison}.
+As the field of NMR relaxation dispersion has a very long history, it is not 
possible to include all analytic and numeric relaxation dispersion models for 
both CPMG-type\index{relaxation dispersion!CPMG-type experiment} or 
$\Ronerho$-type\index{relaxation dispersion!$\Ronerho$-type experiment} 
experiments in relax.  However it is not too difficult to add new models for 
your own needs if you have some Python, Matlab, Mathematica, or similar 
scripting skills.  The steps required are detailed on the 
\href{http://wiki.nmr-relax.com/}{relax wiki} page for the 
\href{http://wiki.nmr-relax.com/Tutorial\_for\_adding\_relaxation\_dispersion\_models\_to\_relax}{tutorial
 for adding relaxation dispersion models to relax}.




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