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Table 2:

Summary of the strong lensing modelling.
SL2S Group Nb X [ $\hbox{$^{\prime\prime}$ }$] Y [ $\hbox{$^{\prime\prime}$ }$] e $\theta$ (degree) $R_{\textsc{e}}$ rms $\chi^2$
J22214-0053 4 -0.2 $\pm$ 0.06 -2.0 $\pm$ 0.15 [0] [0] 6.83 $\pm$ 0.15 0.08 0.0
J08544-0121 8 0.0 $\pm$ 0.1 0.0 $\pm$ 0.06 0.59 $\pm$ 0.0 20.8 $\pm$ 1.2 5.48 $\pm$ 0.12 0.28 17
J09413-1100 4 -1.3 $\pm$ 0.2 -1.9 $\pm$ 0.9 [0] [0] 7.50 $\pm$ 0.81 0.07 1.5
J14300+5546 4 -0.2 $\pm$ 1.4 -1.1 $\pm$ 1.5 [0] [0] 4.69 $\pm$ 1.43 0.02 0.1
J02140-0532 8 0.85 $\pm$ 0.3 -2.6 +1.2-0.03 0.56 $\pm$ 0.11 111.2 $\pm$ 0.1 7.31 $\pm$ 0.49 0.1 1.1
J02254-0737 4 -1.9 $\pm$ 0.15 -2.6 $\pm$ 0.6 [0] [0] 6.00 $\pm$ 0.31 0.04 0.4
J02215-0647 6 0.14 $\pm$ 0.15 -1.3 $\pm$ 0.2 0.57 $\pm$ 0.01 104 $\pm$ 3 2.56 $\pm$ 0.14 0.2 20
J 22133+0048 4 -1.7 $\pm$ 0.15 -0.8 $\pm$ 0.3 [0] [0] 3.40 $\pm$ 0.2 0.01 0
Number of constraints Nb and optimised SIE parameters. Error bars represents 1$\sigma$ confidence level on the parameters inferred from the MCMC optimisation. Values into brackets are not optimised. This corresponds to models where the number of observational constraints is smaller than the number of free parameters characterising the SIE profile. The goodness of the fit is quantified by the RMS in the image plane and the reduced $\chi^2$. e is the ellipticity of the mass distribution (in units (a2-b2)/(a2+b2)).

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