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Posted by edward on November 06, 2013 - 16:04:
Author: bugman
Date: Wed Nov  6 16:04:27 2013
New Revision: 21401

URL: http://svn.gna.org/viewcvs/relax?rev=21401&view=rev
Log:
Fix for the figure labelling in the dispersion chapter of the manual.


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=21401&r1=21400&r2=21401&view=diff
==============================================================================
--- branches/relax_disp/docs/latex/dispersion.tex (original)
+++ branches/relax_disp/docs/latex/dispersion.tex Wed Nov  6 16:04:27 2013
@@ -185,9 +185,9 @@
 This is not implemented in relax as it can be shown by simple simulation 
that the formula is incorrect (see Figure~\ref{fig: dispersion error 
comparison}).  This formula significantly underestimates the real errors.  
The use of the same $I_0$ value for all dispersion points does not cause a 
decrease in the $\Rtwoeff$ error but rather a correlation in the errors.
 
 \begin{figure*}[h]
-\label{fig: dispersion error comparison}
 \centerline{\includegraphics[width=0.9\textwidth, bb=14 14 728 
512]{graphics/analyses/dispersion/error_comparison}}
 \caption[Comparison of relaxation dispersion errors]{A demonstration of the 
inaccuracy of the error formula of Equation~\ref{eq: IT05 dispersion error} 
from \citet{IshimaTorchia05}.  This plot was generated using the script 
\file{test\_suite/shared\_data/dispersion/error\_testing/simulation.py}.  The 
bootstrapping simulation involves randomising noise-free $I_0$ and $I_1$ 
values for each dispersion data point assuming Gaussian errors.  The full 
error formula is from Equation~\ref{eq: dispersion error}, the reduced error 
formula is from Equation~\ref{eq: IT05 dispersion error}, the bootstrapping 
using individual dispersion points estimates the errors assuming different 
$I_0$ randomisations for each dispersion point and each simulation, and the 
bootstrapping group graph uses the same randomised $I_0$ value for all 
dispersion points for each simulation.}
+\label{fig: dispersion error comparison}
 \end{figure*}
 
 




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