\begin{table}%T1
 %%\centering
\par
 \caption{Probabilities of detection for a false alarm rate of 1\% for
various transit parameters and detectors. $N_{\rm tr}$ is the number of transit,
$r_{{\rm obs}}$ is the rate of observations in observations per hour and
$d$ is the depth of the transit in normalized magnitude -- effectively
the S/N of the observations.\label{tab1}}
 \begin{tabular}{ccc|ccccc}
  \hline\hline
\multicolumn{3}{c|}{Transit parameters} & \multicolumn{5}{c}{Probability of Detection} \\
$N_{\rm tr}$ & $r_{{\rm obs}}$ & $d$ & BLS & Bayesian & Correlation & Matched Filter & Deeg's \\
  \hline
 3 &  5 & 0.10 & 0.0117 & 0.0105 & 0.0110 & 0.0131 & 0.0122 \\
 3 &  5 & 0.25 & 0.0186 & 0.0155 & 0.0341 & 0.0434 & 0.0380 \\
 3 &  5 & 0.50 & 0.1393 & 0.0500 & 0.3920 & 0.4590 & 0.3617 \\
 3 & 10 & 0.10 & 0.0109 & 0.0111 & 0.0160 & 0.0175 & 0.0156 \\
 3 & 10 & 0.25 & 0.0359 & 0.0244 & 0.1105 & 0.1319 & 0.0887 \\
 3 & 10 & 0.50 & 0.5607 & 0.1445 & 0.8454 & 0.8867 & 0.8014 \\
 6 &  5 & 0.10 & 0.0110 & 0.0111 & 0.0158 & 0.0181 & 0.0152 \\
 6 &  5 & 0.25 & 0.0224 & 0.0179 & 0.1148 & 0.1451 & 0.1084 \\
 6 &  5 & 0.50 & 0.4846 & 0.1136 & 0.8574 & 0.8996 & 0.8193 \\
 6 & 10 & 0.10 & 0.0123 & 0.0123 & 0.0251 & 0.0294 & 0.0225 \\
 6 & 10 & 0.25 & 0.0974 & 0.0339 & 0.3882 & 0.4406 & 0.3052 \\
 6 & 10 & 0.50 & 0.9528 & 0.4460 & 0.9986 & 0.9993 & 0.9951 \\
10 &  5 & 0.10 & 0.0101 & 0.0113 & 0.0202 & 0.0232 & 0.0184 \\
10 &  5 & 0.25 & 0.0434 & 0.0216 & 0.3006 & 0.3392 & 0.2311 \\
10 &  5 & 0.50 & 0.8064 & 0.3017 & 0.9911 & 0.9951 & 0.9863 \\
10 & 10 & 0.10 & 0.0122 & 0.0118 & 0.0391 & 0.0478 & 0.0342 \\
10 & 10 & 0.25 & 0.2234 & 0.0595 & 0.7325 & 0.7898 & 0.6319 \\
10 & 10 & 0.50 & 0.9983 & 0.8371 & 1.0000 & 1.0000 & 1.0000 \\
 \hline
 \end{tabular}
\end{table}