CGANs can estimate photometric redshifts and redshift probability distributions from four galaxy magnitudes, reaching accuracies close to Mixture Density Networks on Dark Energy Survey data.
Journal of the Royal Statistical So- ciety
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.IM 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs)
CGANs can estimate photometric redshifts and redshift probability distributions from four galaxy magnitudes, reaching accuracies close to Mixture Density Networks on Dark Energy Survey data.