The Nineteenth Data Release of the Sloan Digital Sky Survey
astro-ph.GA, astro-ph.CO, astro-ph.IM, astro-ph.SR
Submitted: 2025-07-09
Updated: 2026-10-10
Comments: Submitted to AASJournals. 56 Pages, 9 Tables, 11 Figures
Code: https://github.com/sdss/five
Project page: https://www.sdss
License: http://creativecommons.org/licenses/by/4.0/
The gist: Mapping the local and distant Universe is key to our understanding of it.
Terminology
Abstract
Mapping the local and distant Universe is key to our understanding of it. For decades, the Sloan Digital Sky Survey (SDSS) has made a concerted effort to map millions of celestial objects to constrain the physical processes that govern our Universe. The most recent and fifth generation of SDSS (SDSS-V) is organized into three scientific ``mappers". Milky Way Mapper (MWM) that aims to chart the various components of the Milky Way and constrain its formation and assembly, Black Hole Mapper (BHM), which focuses on understanding supermassive black holes in distant galaxies across the Universe, and Local Volume Mapper (LVM), which uses integral field spectroscopy to map the ionized interstellar medium in the local group. This paper describes and outlines the scope and content for the nineteenth data release (DR19) of SDSS and the most substantial to date in SDSS-V. DR19 is the first to contain data from all three mappers. Additionally, we also describe nine value added catalogs (VACs) that enhance the science that can be conducted with the SDSS-V data. Finally, we discuss how to access SDSS DR19 and provide illustrative examples and tutorials.
Sources
- robostrategy: Field and Target Assignment Optimization in the Sloan Digital Sky Survey V
- The Cannon 2: A data-driven model of stellar spectra for detailed chemical abundance analyses
- The cosmic web of X-ray active galactic nuclei seen through the eROSITA Final Equatorial Depth Survey (eFEDS)
- The Zones Algorithm for Finding Points-Near-a-Point or Cross-Matching Spatial Datasets
- SDSS-V: Pioneering Panoptic Spectroscopy
- eROSITA Science Book: Mapping the Structure of the Energetic Universe
- SDSS-V Milky Way Mapper (MWM): ASPCAP Stellar Parameters and Abundances in SDSS-V Data Release 19
- The SDSS-V Black Hole Mapper Reverberation Mapping Project: Multi-Line Dynamical Modeling of a Highly Variable Active Galactic Nucleus with Decade-long Light Curves
- StarFlow: Leveraging Normalizing Flows for Stellar Age Estimation in SDSS-V DR19
- Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting
- A Southern Photometric Quasar Catalog from the Dark Energy Survey Data Release 2
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