r20268 - /branches/relax_disp/docs/latex/dispersion.tex -- July 11, 2013 - 09:24

Author: bugman
Date: Thu Jul 11 09:24:53 2013
New Revision: 20268

URL: http://svn.gna.org/viewcvs/relax?rev=20268&view=rev
Log:
Small edit of the legend of the relaxation dispersion figure showing the 
Ishima & Torchia 2005 being wrong.


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=20268&r1=20267&r2=20268&view=diff
==============================================================================
--- branches/relax_disp/docs/latex/dispersion.tex (original)
+++ branches/relax_disp/docs/latex/dispersion.tex Thu Jul 11 09:24:53 2013
@@ -189,7 +189,7 @@
 \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 each 
dispersion point for each simulation.}
+\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.}
 \end{figure*}