Author: bugman Date: Mon Sep 1 16:33:30 2014 New Revision: 25504 URL: http://svn.gna.org/viewcvs/relax?rev=25504&view=rev Log: Added a derivation of the R2eff/R1rho error estimate for the two-point measurement to the manual. This is from http://thread.gmane.org/gmane.science.nmr.relax.devel/6929/focus=6993 and is for the rate uncertainty of a 2-parameter exponential curve when only two data points have been collected. The derivation has been added to the dispersion chapter of the manual. Modified: trunk/docs/latex/dispersion.tex Modified: trunk/docs/latex/dispersion.tex URL: http://svn.gna.org/viewcvs/relax/trunk/docs/latex/dispersion.tex?rev=25504&r1=25503&r2=25504&view=diff ============================================================================== --- trunk/docs/latex/dispersion.tex (original) +++ trunk/docs/latex/dispersion.tex Mon Sep 1 16:33:30 2014 @@ -239,7 +239,7 @@ \subsubsection{Fixed relaxation period experiments} For the fixed relaxation time period CPMG-type experiments, the $\Rtwoeff$/$\Ronerho$ values are determined by direct calculation using the formula -\begin{equation} +\begin{equation} \label{eq: R2eff two-point} \Rtwoeff(\nucpmg) = - \frac{1}{\Trelax} \cdot \ln \left( \frac{I_1(\nucpmg)}{I_0} \right) . \end{equation} @@ -253,6 +253,44 @@ \begin{equation} \label{eq: dispersion error} \sigma_{\Rtwo} = \frac{1}{\Trelax} \sqrt{ \left( \frac{\sigma_{I_1}}{I_1(\omega_1)} \right)^2 + \left( \frac{\sigma_{I_0}}{I_0} \right)^2 } . \end{equation} + +The derivation of this is simple enough. +Rearranging~\ref{eq: R2eff two-point}, +\begin{equation} + \Rtwo \cdot \Trelax = -\ln \left( \frac{I_1}{I_0} \right) . +\end{equation} + +Using the rule +\begin{equation} + \ln\left(\frac{X}{Y}\right) = \ln(X) - \ln(Y), +\end{equation} + +where X and Y are normally distributed variables, then +\begin{equation} + \Rtwo \cdot \Trelax = \ln(I_0) - \ln(I_1) , +\end{equation} + +and +\begin{equation} + \Rtwo = - \frac{1}{\Trelax} \cdot \left( \ln(I_0) - \ln(I_1) \right) , +\end{equation} + +Using the estimate from \url{https://en.wikipedia.org/wiki/Propagation_of_uncertainty} that for +\begin{equation} + f = a \ln(A), +\end{equation} + +the variance of $f$ is +\begin{equation} + \sigma_f^2 = \left( a * \frac{\sigma_A}{A} \right)^2 , +\end{equation} + +then the $\Rtwo$ variance is +\begin{equation} + \sigma_{\Rtwo}^2 = \left( \frac{1}{\Trelax} \cdot \frac{\sigma_I0}{I0} \right)^2 + \left( \frac{1}{\Trelax} \cdot \frac{\sigma_I1}{I1} \right)^2. +\end{equation} + +Rearranging gives~\ref{eq: dispersion error}. In a number of publications, the error formula from \citet{IshimaTorchia05} has been used. This is the collapse of Equation~\ref{eq: dispersion error} by setting $\sigma_{I_0}$ to zero: