Open Access
Table 9
Redshift regression performance of 2D map versus Bayesian SZNet.
| Model | RMSE | CRPS |
|---|---|---|
| Bayesian SZNet (DR12Q) | 0.1083 | 0.0171 |
| Bayesian FCNN (DR12Q) | 0.2106 | 0.0712 |
| 2D map SLOMOST-Big (Quasar only) | 0.1546 | 0.0277 |
| 2D map SLOMOST-Big | 0.0397 | 0.0108 |
Notes. Boldface values denote the best-performing results in each column.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.