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Table 2:

Quality statistics (C1, C2, P1, P2, $S_{\rm gal}$, and $f_{\rm I}$, see text for details) of the group catalogue reconstructed by the algorithm with the high-purity parameter set, for two different redshift bins and the whole redshift range, considering groups with $N\geq 2$.
Quality statistics for $N\geq 2$
Quality parameter $0.2\leq z \leq 0.6$ $0.6\leq z \leq 1.0$ $0.2\leq z \leq 1.0$
C1 $0.29 \pm 0.03$ $0.20 \pm 0.03$ $0.24 \pm 0.02$
C2 $0.24 \pm 0.03$ $0.17 \pm 0.02$ $0.20 \pm 0.02$
P1 $0.75 \pm 0.04$ $0.73 \pm 0.06$ $0.74 \pm 0.04$
P2 $0.66 \pm 0.07$ $0.69 \pm 0.06$ $0.67 \pm 0.05$
$S_{\rm gal}$ $0.32 \pm 0.03$ $0.21 \pm 0.04$ $0.28 \pm 0.03$
$f_{\rm I}$ $0.24 \pm 0.04$ $0.27 \pm 0.05$ $0.25 \pm 0.03$

Notes. Each parameter is computed as the mean over the 20 VVDS-like mocks, and the associated error is its rms. The same parameters for groups with $N\geq 3$ are consistent, within error bars, with those presented here.


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