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Table 2.

Posterior statistics of source and lens properties inferred from the six lens models shown in Fig. 1.

Quantity reff [″] (†) qs (†) ms [mag] θE [″] γ qm ϕm x0 [″] y0 [″] γext ϕext [°]
Truth 0.481 0.66 23.2 1.550 2.040 0.82 −10.0 0.040 0.050 0.030 15.0
μmodels 0.487 0.67 23.1 1.551 2.066 0.80 −9.9 0.034 0.047 0.033 13.9
σmodels 0.004 0.02 0.04 0.001 0.009 0.03 2.3 0.005 0.004 0.002 4.6
Max. bias (††) × × × 1.7σ 1.6σ −3.3σ 2.3σ −5.5σ −3.7σ 2.7σ 2.2σ

Combined × × × 1 . 55 0.002 + 0.002 $ 1.55_{-0.002}^{+0.002} $ 2 . 07 0.02 + 0.03 $ 2.07_{-0.02}^{+0.03} $ 0 . 80 0.03 + 0.03 $ 0.80_{-0.03}^{+0.03} $ 10 . 5 2.6 + 1.4 $ -10.5_{-2.6}^{+1.4} $ 0 . 033 0.004 + 0.004 $ 0.033_{-0.004}^{+0.004} $ 0 . 046 0.005 + 0.004 $ 0.046_{-0.005}^{+0.004} $ 0 . 032 0.003 + 0.003 $ 0.032_{-0.003}^{+0.003} $ 13 . 8 4.5 + 3.3 $ 13.8_{-4.5}^{+3.3} $
Bias (††) × × × 0.3σ 1.2σ −0.6σ −0.2σ −1.6σ −0.9σ 0.7σ −0.3σ

Notes. In the second and third row μmodel and σmodel show the average and standard deviation of the posterior means of all models, respectively. The fourth row gives the maximal bias among all models for each lens potential parameter. The two last rows correspond to the combined posterior distribution shown in black in Fig. 6.

(†)

The source properties correspond to best-fit models, whereas lens properties relate to the corresponding marginalized posterior distributions shown in Fig. 6 (individual and combined models). Note that we do not provide combined estimates for the source properties as we do not have formal posterior distributions not uncertainty estimations for all source models.

(††)

The maximum bias among all models is based on the difference between the mean posterior value and the true value, in units of the posterior standard deviation (negative and positive biases correspond to under- or over-estimates, respectively). The last row of the table shows the corresponding bias value from the combined posterior distribution.

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