miniJPAS survey quasar selection. V.

Our main comparison metric is the f1 score, which balances the catalogue purity and completeness. We evaluate the performance of the combined algorithm using synthetic data. In this scenario, the combined algorithm outperforms the rest of the codes, reaching f1=0.88 and f1=0.79 for high- and low-z quasars (with z>=2.1 and z<2.1, respectively) down to magnitude r=23.6.

We further evaluate its performance against real spectroscopic data, finding different performances (some of the codes show better performance, some worse, and the combined algorithm does not outperform the rest). We conclude that our simulated data is not realistic enough and that a new version of the mocks would improve the performance. Our redshift estimates on mocks suggest a typical uncertainty of {sigma}_NMAD_=0.11, which, according to our results with real data, could be significantly smaller (as low as {sigma}_NMAD_=0.02).

We note that the data sample is still not large enough for a full statistical consideration.