\begin{table}%t3
\caption{\label{tab:boost_fisher}Statistical errors $\sigma_{\rm stat}$ and residual biases $b_{\rm sys}$ for the different survey models used.}
\par
%%\centering

\par
\begin{tabular}{cc|cc|cc}
\hline\hline
&&&&&\\[-2.2mm]
Survey & Parameter & \multicolumn{2}{|c|}{$\gamma$ varied} & \multicolumn{2}{|c}{$\gamma$ fixed}\\
 & & $\sigma_{\rm stat}$ & $b_{\rm sys}$ &  $\sigma_{\rm stat}$ & $b_{\rm sys}$\\
\hline 
S  & $A$      & 2.885 & $-$0.009 & 0.827 & $-$0.004\\
   & $\gamma$ & 7.356 &  0.012 &       &       \\
P1 & $A$      & 0.712 & $-$0.081 & 0.172 & $-$0.046\\
   & $\gamma$ & 1.776 &  0.090 &       &       \\
P2 & $A$      & 0.697 & $-$0.181 & 0.272 & $-$0.171\\
   & $\gamma$ & 2.017 &  0.031 &       &       \\
\hline
\end{tabular}
\tablefoot{The left column shows marginalised $1\sigma$ errors on the amplitude $A$ of the GI signal and on $\gamma$, quantifying an additional redshift dependence. In the right column results obtained for only varying $A$ are listed.}
\end{table}