Optimizing the extraction of information from redshift probability distribution functions
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
Sources
- Optuna: A Next-generation Hyperparameter Optimization Framework
- Photometric Redshifts for the Hyper Suprime-Cam Subaru Strategic Program Data Release 2
- The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document
- The Hyper Suprime-Cam SSP Survey: Overview and Survey Design
- Third Data Release of the Hyper Suprime-Cam Subaru Strategic Program
- Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology
- The miniJPAS survey: a preview of the Universe in 56 colours
- Hyper Suprime-Cam Year 3 Results: Cosmology from Cosmic Shear Power Spectra
- Euclid preparation: X. The Euclid photometric-redshift challenge
- The miniJPAS survey: the photometric redshift catalogue
- Estimating Luminosities and Stellar Masses of Galaxies Photometrically without Determining Redshifts
- CLASH: Photometric redshifts with 16 HST bands in galaxy cluster fields
- Euclid. I. Overview of the Euclid mission
- Photometric Redshifts for Next-Generation Surveys
- Accurate photometric redshift probability density estimation - method comparison and application
- The many flavours of photometric redshifts
- Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
- Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology
- Photometric Redshift with Bayesian Priors on Physical Properties of Galaxies
- Photometric Redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1
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