Year: 2020
Type: article
Abstract: We present a robust approach to estimating the redshift of galaxies using Pan-STARRS1 photometric data. Our approach is an application of the algorithm proposed for the SDSS Data Release 12. It uses a training set of 2 313 724 galaxies for which the spectroscopic redshift is obtained from SDSS, and magnitudes and colours are obtained from the Pan-STARRS1 Data Release 2 survey. The photometric redshift of a galaxy is then estimated by means of a local linear regression in a 5D magnitude and colour space. Our approach achieves an average bias of Δ̅z̅n̅o̅r̅m̅ = −1.92 × 10−4, a standard deviation of σ(Δznorm) = 0.0299, and an outlier rate of Po = 4.30% when cross-validating the training set. Even though the relation between each of the Pan-STARRS1 colours and the spectroscopic redshifts is noisier than for SDSS colours, the results obtained by our approach are very close to those yielded by SDSS data. The proposed approach has the additional advantage of allowing the estimation of photometric redshifts on a larger portion of the sky (∼3/4 vs ∼1/3). The training set and the code implementing this approach are publicly available at the project website.
Source: Astronomy and Astrophysics
Authors: P. Tarrío, S. Zarattini
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,426
Funders: National Science Foundation, Smithsonian Institution, U.S. Department of Energy, National Aeronautics and Space Administration, Alfred P. Sloan Foundation, Gordon and Betty Moore Foundation, Johns Hopkins University, Space Telescope Science Institute, European Commission, University of Edinburgh, Queen's University Belfast, Durham University, Queen's University, National Central University, Eötvös Loránd Tudományegyetem, Max-Planck-Institut für Astronomie, Office of Science, Smithsonian Astrophysical Observatory, Science Mission Directorate, Planetary Science Division, Los Alamos National Laboratory, FP7 Ideas: European Research Council
Awards: G2171960263, G2667869601, FOLLOWING THE MOST MASSIVE GALAXY CLUSTERS ACROSS COSMIC TIME, G3207356259, G393177772, G4104599821, G433322167, G4474636675, THE MULTI-MISSION ARCHIVE AT SPACE TELESCOPE SCIENCE INSTITUTE (MAST) IS NASA'S ARCHIVE CENTER FOR OPTICAL/UV SPACE ASTROPHYSICS DATA. MAST PROVIDE, G5702163051, G58316358, G618131832, G6273510985, G6630327178, A NEO SEARCH PROGRAM USING THE PAN-STARRS PS1 TELESCOPETHE GOAL OF THE PROPOSED RESEARCH IS TO USE T, G7187964967, Pan-STARRS1: Operations; Public Data Release; Education and Outreach, G7950275392, G833430883
OpenAlex ID: W3025298258