Optimizing the extraction of information from redshift probability distribution functions

arXiv:2607.26822 · astro-ph.IM, astro-ph.CO · Submitted 2026-07-29 · Read on arXiv

Rodrigo Duarte, Valerio Marra

astro-ph.IM, astro-ph.CO

Submitted: 2026-07-29

Comments: 14 pages, 11 figures

Code: https://github.com/valerio-marra/turboPDZ

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Calibration — 17× in this paper · explained in 7 episodes
AUC — 14× in this paper · explained in 2 episodes
Robustness — 5× in this paper · explained in 5 episodes
Accuracy — 3× in this paper · explained in 1 episode
Hyper Suprime-Cam — 3× in this paper
Interpretability — 3× in this paper · explained in 15 episodes
AdamW Optimizer — 2× in this paper · explained in 1 episode
Degeneracy — 2× in this paper · explained in 3 episodes
Pruning — 2× in this paper · explained in 4 episodes
Activation Function — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Cooperation — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Loss Function — 1× in this paper · explained in 2 episodes
National Astronomical Observatory of Japan — 1× in this paper
Objective Function — 1× in this paper · explained in 2 episodes
Population Synthesis — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes

Sources

Related papers