\begin{table}%t1
%\centering
\par
\caption{Results of the stellar--mass estimate based of SEDs fitting. For each
ISO/LW3 HDFS source we report redshift (Franceschini et~al. \cite{Franceschini03}; photometric if within 
parenthesis, spectroscopic otherwise), total number of models produced
by the spectrophotometric synthesis code (without the SIRTF constraints),
effective number of SSPs contributing to best fit (for the optical+LW3 data, but
without the SIRTF constraints), optical~$\chi^2$ and mass of the best fit
solution. The last three columns report three different estimates of   
the mass uncertainties due to degeneracies: $\Delta M$ at~68.3\% and~95.5\% 
confidence levels (corresponding to~1$\sigma$ and~2$\sigma$) and~2$\sigma$ mass range obtained simulating SIRTF/IRAC observations (only
for some randomly selected sources).\label{tab:results}}
\begin{tabular}{l c c c c c c c c}
\hline
\hline
Obj & $z$ & $N_{\rm tot}$ & $N_{\rm SSP}$ & Mass (b.f.) & $\chi^2_{\rm opt}$ & $\Delta M_{1\sigma}$ & $\Delta M_{2\sigma}$ & $\Delta M_{\rm SIRTF}$\\
\# & & mdls. & b.f. & $[10^{11}~M_\odot]$ & b.f. & $[10^{11}~M_\odot]$ & $[10^{11}~M_\odot]$ & $[10^{11}~M_\odot]$\\
\hline
S14 & 0.41  & 420~014 & 3 & 0.32 & 4.15 & 0.21$-$0.35  & 0.21$-$0.38  & \\
S15 & (0.55)& 451~212 & 2 & 3.10 & 13.55& 2.97$-$3.29  & 2.61$-$3.49  & \\
S16 & 0.62  & 430~819 & 4 & 0.29 & 4.73 & 0.23$-$0.28  & 0.22$-$0.31  & \\
S18 & (0.55)& 202~806 & 4 & 5.20 & 14.37& 5.13$-$5.47  & 4.62$-$5.67  & \\
S20 & 0.39  & 416~408 & 4 & 0.80 & 3.65 & 0.57$-$1.20  & 0.57$-$1.26  & \\
S23 & 0.46  & 409~213 & 4 & 0.97 & 8.16 & 0.45$-$1.16  & 0.41$-$1.64  & 0.60$-$1.20\\
S25 & 0.58  & 430~807 & 2 & 0.80 & 2.70 & 0.54$-$1.26  & 0.44$-$1.47  & 0.40$-$1.34\\
S27 & 0.58  & 507~625 & 4 & 4.70 & 4.56 & 4.44$-$5.62  & 3.71$-$5.68  & 4.17$-$5.54\\
S28 & 0.58  & 476~432 & 4 & 0.40 & 4.45 & 0.29$-$0.55  & 0.27$-$0.69  & \\
S30 & (0.40)& 206~401 & 3 & 0.01 & 3.88 & 0.005$-$0.007& 0.005$-$0.025& \\
S36 & (0.65)& 198~044 & 4 & 0.40 & 0.93 & 0.23$-$0.60  & 0.21$-$0.65  & \\
S40 & 1.27  & 385~289 & 4 & 1.20 & 8.71 & 1.43$-$2.01  & 0.89$-$3.05  & 0.80$-$2.00\\
S41 & (0.30)& 208~838 & 3 & 0.055& 6.43 & 0.051$-$0.059& 0.045$-$0.069& \\
S43 & 0.95  & 409~212 & 4 & 0.50 & 0.77 & 0.25$-$0.87  & 0.22$-$0.94  & 0.21$-$0.77\\
S45 & (0.65)& 526~817 & 4 & 0.80 & 5.67 & 0.53$-$1.69  & 0.24$-$1.71  & 0.30$-$1.25\\
S48 & (0.30)& 210~015 & 3 & 0.10 & 4.08 & 0.14$-$0.21  & 0.058$-$0.21 & \\
S52 & (0.60)& 278~402 & 4 & 0.13 & 3.81 & 0.13$-$0.17  & 0.12$-$0.17  & \\
S53 & 0.58  & 506~477 & 3 & 1.20 & 3.34 & 0.99$-$1.38  & 0.99$-$1.52  & 1.20$-$1.38\\
S55 & 0.76  & 477~664 & 5 & 1.30 & 1.16 & 0.87$-$1.69  & 0.55$-$1.69  & 1.15$-$1.90\\
S60 & 1.23  & 492~090 & 4 & 2.50 & 14.38& 1.91$-$2.89  & 1.75$-$6.23  & 2.00$-$3.20\\
S62 & 0.73  & 462~014 & 4 & 0.66 & 3.04 & 0.69$-$0.88  & 0.66$-$0.95  & \\
S67 & (1.00)& 424~812 & 4 & 0.34 & 12.12& 0.21$-$0.87  & 0.21$-$0.91  & \\
S71 & (0.45)& 230~406 & 4 & 0.04 & 5.02 & 0.016$-$0.044& 0.013$-$0.067 & \\
S72 & 0.55  & 421~227 & 3 & 1.40 & 12.39& 1.14$-$1.30  & 1.12$-$2.01  & \\
S73 & 0.17  & 441~608 & 4 & 1.50 & 10.00& 0.95$-$1.01  & 0.84$-$1.94  & 0.96$-$1.82\\
S75 & (0.45)& 222~010 & 4 & 1.30 & 4.19 & 1.16$-$1.36  & 0.83$-$1.40  & \\
S77 & (0.40)& 210~033 & 4 & 0.80 & 4.73 & 0.91$-$1.10  & 0.47$-$1.16  & 0.45$-$1.14\\
S79 & 0.74  & 499~221 & 3 & 0.60 & 1.60 & 0.65$-$1.18  & 0.30$-$1.21 & \\
S82 & 0.69  & 438~044 & 4 & 0.50 & 9.61 & 0.49$-$0.62  & 0.37$-$0.83  & 0.51$-$0.69\\
S85 & (0.40)& 414~053 & 3 & 5.70 & 25.77& 5.51$-$5.79  & 4.78$-$6.19  & \\
\hline			    	  		\end{tabular}		    	  		 \end{table}