Table C.3
Statistics of the redshift precision for different redshift precision requirements.
∆z | mag bin | ![]() |
σ∆υ (km/s) | σnmad (per cent) | N |
---|---|---|---|---|---|
0.15 | 17.0 < r ≤ 20.0 | 224.30 | 4,282.73 | 0.77 | 520 |
20.0 < r ≤ 22.5 | 968.87 | 3,834.35 | 0.99 | 2209 | |
22.5 < r ≤ 23.6 | 1,349.70 | 6,016.32 | 1.66 | 1061 | |
23.6 < r ≤ 24.3 | 1,603.68 | 6,355.87 | 1.86 | 210 | |
0.10 | 17.0 < r ≤ 20.0 | 457.03 | 2,870.53 | 0.74 | 517 |
20.0 < r ≤ 22.5 | 711.28 | 3,121.52 | 0.95 | 2198 | |
22.5 < r ≤ 23.6 | 1,015.71 | 4,209.44 | 1.42 | 957 | |
23.6 < r ≤ 24.3 | 889.00 | 4,802.76 | 1.55 | 184 | |
0.05 | 17.0 < r ≤ 20.0 | 463.10 | 2,188.32 | 0.69 | 491 |
20.0 < r ≤ 22.5 | 461.34 | 2,274.05 | 0.79 | 1998 | |
22.5 < r ≤ 23.6 | 352.09 | 2,642.76 | 1.12 | 747 | |
23.6 < r ≤ 24.3 | 5.51 | 2,624.00 | 1.10 | 125 |
Mean redshift offset and dispersion for the different magnitude bins. The mean offset indicates potential biases of our redshift estimate and the dispersion indicates our typical redshift error. Each block shows the results when running with different values for ∆z. We note that our fiducial model has a significance level of ∆z = 0.15.
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