\begin{table}%t2
\caption{\label{tab:MS}Dual-Gaussian fitting results.}
\par
\small%\centerline
 {
\begin{tabular}{cccccccccccc}
\hline
\hline
$\!\!\!$data set &$\!\!\!$$r^*$ min $\!\!\!$&$\!\!\!$ $r^*$ median
                       $\!\!\!$&$\!\!\!$ $r^*$max
                       $\!\!\!$&$\!\!\!$$\sigma_{\rm{bMS}}$
                       $\!\!\!$&$\!\!\!$
                       rms($\sigma_{\rm{bMS}}$) $\!\!\!$&$\!\!\!$ $\sigma_{\rm{rMS}}$ $\!\!\!$&$\!\!\!$
                       rms($\sigma_{\rm{rMS}}$) $\!\!\!$&$\!\!\!$ \nbr &$\sigma$(\nbr)$\!\!\!$&$\!\!\!$
                       $({\rm rMS}_{\rm cen}-{\rm bMS}_{\rm cen})$ $\!\!\!$$\!\!\!$&$\!\!\!$$\!\!\!$ Color\\
                       & ($\arcmin$) & ($\arcmin$) & ($\arcmin$) &
                       $\Delta$color & $\Delta$color & $\Delta$color &
                       $\Delta$color &&  &$\Delta$color &\\
\hline
ACS/WFC        & 0.00 & 1.21 & 1.76 & 0.027 & 0.0020 & 0.023 & 0.0014 & 1.07 & 0.09& 0.056 & $B-R_{\rm C}$\\
   (3 $\times$ 3) & 1.76 & 2.24 & 2.66 & 0.023 & 0.0018 & 0.018 & 0.0011 & 1.05 & 0.06& 0.055 & $B-R_{\rm C}$\\
                & 2.66 & 3.09 & 3.51 & 0.020 & 0.0012 & 0.017 & 0.0008 & 0.92 & 0.03& 0.053 & $B-R_{\rm C}$\\
                & 3.51 & 3.95 & 4.42 & 0.018 & 0.0010 & 0.016 & 0.0007 & 0.86 & 0.02& 0.054 & $B-R_{\rm C}$\\
                & 4.42 & 4.98 & 7.93 & 0.018 & 0.0011 & 0.015 & 0.0007 & 0.82 & 0.03& 0.054 & $B-R_{\rm C}$\\
    subdivision & 4.42 & 4.54 & 4.67 & 0.019 & 0.0012 & 0.015 & 0.0011 & 0.86 & 0.03&	    &	   \\
    of last bin & 4.67 & 4.82 & 4.98 & 0.018 & 0.0013 & 0.016 & 0.0011 & 0.79 & 0.04&	    &	   \\
                & 4.98 & 5.18 & 5.44 & 0.018 & 0.0013 & 0.015 & 0.0010 & 0.83 & 0.06&	    &	   \\
                & 5.44 & 5.84 & 7.93 & 0.018 & 0.0013 & 0.015 & 0.0010 & 0.70 & 0.05&	    &	   \\
WFPC2          & 6.04 & 7.57 & 9.10 & 0.017 & 0.0010 & 0.020 & 0.0020 & 0.42 & 0.07& 0.061 &$m_{\rm F606W}\!-\!m_{\rm F814W}$\\
FORS1          & 7.18 & 9.38 & 10.60& 0.017 & 0.0023 & 0.020 & 0.0021 & 0.41 & 0.06& 0.062 & $B-R_{\rm C}$\\
                & 10.60& 11.58& 12.51& 0.017 & 0.0019 & 0.017 & 0.0013 & 0.37 & 0.03& 0.058 & $B-R_{\rm C}$\\
                & 12.51& 13.34& 14.16& 0.019 & 0.0018 & 0.014 & 0.0009 & 0.41 & 0.04& 0.054 & $B-R_{\rm C}$\\
                & 14.16&15.29 & 16.75& 0.016 & 0.0022 & 0.014 & 0.0009 & 0.36 & 0.04& 0.059 & $B-R_{\rm C}$\\
                & 16.75&19.25 & 26.19& 0.016 & 0.0020 & 0.014 & 0.0010 & 0.36 & 0.05& 0.058 & $B-R_{\rm C}$\\
ACS/WFC        & 14.68& 17.21& 19.69& 0.014 & 0.0020 & 0.009 & 0.0020 & 0.34 & 0.05& 0.057 &$m_{\rm F606W}\!-\!m_{\rm F814W}$\\
\hline
\end{tabular}}
\medskip
For each data set (first column) we give in Cols.~2$-$4 the radial extent (minimum, median, and maximum~\re).  In Cols.~5$-$8 are the sigmas of the Gaussians that best fit the bMS and rMS~color
distributions, with errors. In the next two columns are the \nbr~ratio and its error.  The next-to-last column gives the color difference between the two Gaussian peaks, and the final column identifies the color baseline of the data~set.
\end{table}