Table 3
Simulation results.
| z | f gain,w | f loss,w | f gain | f loss | dz | N app |
|
|
||||||
| Thermonuclear Supernovae | ||||||
| z ≤ 0.25 | 0.019 | 0.025 | 0.039 | 0.046 | 0.091 | 540 |
| 0.25 < z ≤ 0.50 | 0.098 | 0.023 | 0.096 | 0.043 | 0.12 | 2894 |
| 0.50 < z ≤ 0.75 | 0.096 | 0.032 | 0.10 | 0.052 | 0.084 | 3102 |
| 0.75 < z ≤ 1.00 | 0.057 | 0.017 | 0.078 | 0.022 | 0.074 | 1759 |
| 1.00 < z ≤ 1.25 | 0.038 | 0.0045 | 0.061 | 0.0056 | 0.095 | 358 |
| 1.25 < z ≤ 1.50 | 0.26 | 0.0 | 0.50 | 0.00 | 0.082 | 20 |
|
|
||||||
| z ≤ 1.5 | 0.082 | 0.024 | 0.042 | 0.071 | 0.098 | 8673 |
|
|
||||||
| Core-collapse Supernovae | ||||||
| z ≤ 0.25 | 0.0079 | 0.0060 | 0.015 | 0.013 | 0.078 | 1676 |
| 0.25 < z ≤ 0.50 | 0.020 | 0.085 | 0.038 | 0.084 | 0.12 | 3319 |
| 0.50 < z ≤ 0.75 | 0.041 | 0.12 | 0.067 | 0.13 | 0.083 | 2428 |
| 0.75 < z ≤ 1.00 | 0.026 | 0.085 | 0.032 | 0.12 | 0.094 | 1172 |
| 1.00 < z ≤ 1.25 | 0.0034 | 0.029 | 0.0042 | 0.047 | 0.12 | 472 |
| 1.25 < z ≤ 1.50 | 0.0 | 0.014 | 0.00 | 0.027 | 0.16 | 367 |
|
|
||||||
| z ≤ 1.5 | 0.022 | 0.075 | 0.084 | 0.037 | 0.11 | 9434 |
Notes. fgain,w/floss,w are the misclassification ratios weighted by subtype frequency and fgain/floss are the unweighted misclassification ratios. dz is the redshift variance (based on the fitted redshift from the typing code compared to the true redshift of the supernova) for the specific bin and Napp is the apparent number of simulated supernovae of the given type in the bin.
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