#photometric redshifts

topicphotometric redshifts

2 papers · 1 filter

astro-ph.IM2026

Optimizing the extraction of information from redshift probability distribution functions

Rodrigo Duarte, Valerio Marra

The paper presents turboPDZ, a machine‑learning framework that extracts optimized point estimates and reliability scores directly from photometric redshift probability distribution…

astro-ph.GA2026

An Enhanced Catalog of Gaia DR3 Galaxy Candidates with Spectroscopic and Machine-Learning Photometric Redshifts

Junghyun Hwang, Ho Seong Hwang

The paper presents an updated all‑sky galaxy catalog based on Gaia DR3, adding spectroscopic redshifts where available and machine‑learning photometric redshifts for the rest, usin…