\begin{table}%t9
\caption{ Filter cutting values: optimal selection.}
\label{tab:filters_opt_val}
%\centerline
 {
\begin{tabular}{rrrrrr}
\hline  
\hline
 \% Pubs. lost   & 25    &   10  &    5   &    1   &     0.1 \\ 
\hline 
$d$~~~~ CS    & 0.210  & 0.255  &  0.285  & 0.300  & 0.300    \\      
        CM    & 0.225  & 0.285  &  0.300  & 0.300  & 0.300    \\ 
\hline
$d_2$~~~~~CS  & 5.400  & 9.000  &  8.550  & 9.000  & 9.000    \\        
          CM  & 8.100  & 8.550  &  7.650  & 7.650  & 8.550    \\ 
\hline
$d_5$~~~~~CS  &  2100  &  3000  &   3000  &  3000  &  3000    \\        
          CM  &  1350  &  1950  &   2100  &  2700  &  3000    \\ 
\hline
$d_6$~~~~~CS  &  2000  &  4000  &   7000  & 17000  & 20000    \\        
          CM  &  1000  &  2000  &   4000  & 13000  & 19000    \\ 
\hline
 \% dpp~~ CS  & 90.74    & 70.24    &  46.34   & 7.06     & 0.88 \\ 
          CM  & 88.85    &  65.66   &  46.66   & 19.47    & 4.13 \\ 
\hline
\end{tabular}
}
\par
%\textsc{Note:}
NOTE:  The first row gives the percentage of published
 identifications that would be lost when the optimal filter cutting
 values listed in the subsequent rows are used.  The last two rows
 show the percentage of discarded proposed pairs (dpp), that is, those
 pairs that when using the filter values of the corresponding column
 would not reach the differential correction procedure.
\end{table}