Table 2.
Bias in the mean redshift ez obtained with various methods.
| Estimation method |  |
||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| SC | 4.7 ± 1.2 | 5.8 ± 1.4 | 6.4 ± 1.4 | 6.3 ± 1.4 | 6.1 ± 1.8 |
| CZ (0.5%) | 21.3 ± 4.6 | 9.6 ± 3.3 | 0.5 ± 2.3 | −4.4 ± 2.6 | −7.5 ± 4.6 |
| CZ (1%) | 12.2 ± 5.9 | 4.9 ± 2.8 | −0.5 ± 2.5 | −2.1 ± 2.6 | −2.3 ± 4.1 |
| CZ (5%) | 9.0 ± 4.8 | 3.9 ± 2.5 | −0.3 ± 1.8 | −1.5 ± 1.9 | −2.2 ± 2.7 |
| SC+CZ (0.5%) | 3.6 ± 2.0 | 3.4 ± 1.5 | 2.9 ± 1.4 | 3.1 ± 1.4 | 3.9 ± 2.0 |
| SC+CZ (1%) | 3.6 ± 2.0 | 3.2 ± 1.5 | 2.4 ± 1.3 | 2.5 ± 1.3 | 3.5 ± 2.2 |
| SC+CZ (5%) | 3.4 ± 2.3 | 2.4 ± 1.5 | 1.5 ± 1.2 | 1.5 ± 1.2 | 2.5 ± 1.7 |
| SC, Old NMF | 12.8 ± 4.7 | 17.1 ± 5.0 | 18.8 ± 3.9 | 17.1 ± 4.9 | 11.8 ± 4.0 |
| SC+CZ (1%), No spec-z bin 9-10 | 3.3 ± 1.7 | 3.0 ± 1.3 | 2.6 ± 1.3 | 2.5 ± 1.4 | 3.2 ± 2.3 |
| SC+CZ (1%), No spec-z bin 7-10 | 3.1 ± 1.4 | 2.8 ± 1.4 | 2.5 ± 1.2 | 3.4 ± 1.4 | 4.5 ± 2.1 |
Notes. The bias in the mean redshift ez, which is given by the difference between the mean redshift computed with the true-z distribution from various estimators 
and the direct mock measurement 
, and further divided by 
(and multiplied by 103). We show the results for the 5 tomographic bins. The ensemble mean and the 1σ are estimated from 100 mock runs. Although in some of the bins, CZ gives a smaller bias, SC+CZ results are more stable and their total bias across the bins is smaller.
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