\begin{table}%t5
  \caption{\label{table:3}Results of the maximum likelihood fits to our source count distributions with a broken power-law model.}       
\par
\small%\centerline
 {
\begin{tabular}{c c c c c}         
\hline\hline                  
Energy band &  ${\rm \Gamma_b}$     &  ${\rm \Gamma_f}$ & $S_{\rm b}$ & $K$ \\
 (keV)   &  &  & (${\rm 10^{-14}~cgs}$) &  (${\rm deg^{-2}}$)  \\
 (1) & (2) & (3) & (4) & (5) \\
\hline                         
%&&&&&&&&&  \\[-8pt]
0.5--1        & $\rm 2.30_{-0.01}^{+0.02}$ & $\rm 1.78_{-0.02}^{+0.01}$ & $\rm 0.81_{-0.01}^{+0.01}$ & $\rm 71.3_{-11.6}^{+1.5}$  \\ 
1--2          & $\rm 2.43_{-0.01}^{+0.01}$ & $\rm 1.81_{-0.01}^{+0.01}$ & $\rm 0.65_{-0.01}^{+0.01}$ & $\rm 112.3_{-1.0}^{+2.2}$  \\
2--4.5        & $\rm 2.62_{-0.02}^{+0.02}$ & $\rm 2.24_{-0.03}^{+0.04}$ & $\rm 1.46_{-0.07}^{+0.15}$ & $\rm 72.6_{-12.1}^{+4.7}$  \\
4.5--10$^{a}$ & $\rm 2.69_{-0.03}^{+0.03}$ & ---                & ---                 & $\rm 264.8_{-14.7}^{+15.8}$   \\
0.5--2       & $\rm 2.31_{-0.01}^{+0.01}$ & $\rm 1.66_{-0.02}^{+0.01}$ & $\rm 1.06_{-0.01}^{+0.13}$ & $\rm 124.9_{-18.6}^{+1.8}$  \\
0.5--2$^{b}$ & $\rm 2.29_{-0.55}^{+0.01}$ & $\rm 1.63_{-0.33}^{+0.01}$ & $\rm 1.00_{-0.01}^{+0.01}$ & $\rm 131.9_{-45.5}^{+1.1}$   \\
2--10        & $\rm 2.65_{-0.02}^{+0.02}$ & $\rm 2.30_{-0.03}^{+0.05}$ & $\rm 3.29_{-0.08}^{+0.15}$ & $\rm 84.4_{-6.1}^{+3.3}$  \\
2--10$^{a}$  & $\rm 2.54_{-0.01}^{+0.01}$ & ---                   & ---                   & $\rm 482.6_{-9.2}^{+10.8}$  \\
2--10$^{b}$  & $\rm 2.55_{-0.02}^{+0.03}$ & $\rm 1.19_{-0.01}^{+0.01}$ & $\rm 0.78_{-0.10}^{+0.01}$ & $\rm 709.3_{-18.0}^{+110.6}$  \\
\hline                                   
\end{tabular}}
\medskip
 (1) Energy band definition (in keV). (2)~Power-law slope above the flux break.
(3)~Power-law slope below the flux break.
(4)~and (5) Flux break (in units of ${\rm 10^{-14}~erg~cm^{-2}~s^{-1}}$) and normalisation in each band. Errors are 1$\sigma$~uncertainty. $^a$~Best fit parameters from using a single power-law.
$^b$~Best fit parameters from fitting our data together with the data from the CDF-N and CDF-S.
\end{table}