DOE OSTI · 3484518
RTN-124: Photometric Redshifts for the Vera C. Rubin Observatory Data Preview
Abstract
We present the photometric redshifts (photo-z) inferred using algorithms implemented in the Redshift Assessment Infrastructure Layers (RAIL) for the NSF-DOE Vera C. Rubin Observatory Data Preview 2 (DP2). We produce a compilation of reference redshift catalog using spectroscopic, grism and many band photometric redshift dataset hosted on the LIneA Photo-z Server. We curate training and testing set for assessing the scientific and technical performance of Rubin photo-z. The algorithm applied to the object catalog are FlexZBoost, BPZ, kNN, GPz, DNF and TPz; with a combination of 6-band and 4-band photo-z depending on availability of u and y photometry. The redshift point estimates and uncertainty estimation in tabular format through the Large Survey DataBase (LSDB).
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Charles, Eric [SLAC National Accelerator Laboratory; Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory] (ORCID:0000000239257802), Zhang, Tianqing [SLAC National Accelerator Laboratory] (ORCID:000000025596198X), Schmidt, Samuel J. [Department of Physics & Astronomy, University of California, Davis] (ORCID:0000000250910470), Taranu, Dan S. [Department of Astrophysical Sciences, Princeton University] (ORCID:0000000162681882), Gschwend, Julia [Laboratório Interinstitucional de e-Astronomia] (ORCID:0000000330238362), Graham, Melissa L. [Dept. of Astronomy, University of Washington; Institute for Data-intensive Research in Astrophysics and Cosmology, University of Washington] (ORCID:0000000291543136), Kannawadi, Arun [Department of Physics, Duke University; Department of Astrophysical Sciences, Princeton University] (ORCID:0000000187836529). 2026-08-20. RTN-124: Photometric Redshifts for the Vera C. Rubin Observatory Data Preview. https://doi.org/10.71929/rubin%2F3484518
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