Deep ugrizY imaging and DEEP2/3 spectroscopy: a photometric redshift testbed for LSST and public release of data from the DEEP3 Galaxy Redshift Survey
Author
Zhou, RongpuCooper, Michael C
Newman, Jeffrey A
Ashby, Matthew L N
Aird, James
Conselice, Christopher J
Davis, Marc
Dutton, Aaron A
Faber, S M
Fang, Jerome J
Fazio, G G
Guhathakurta, Puragra
Kocevski, Dale
Koo, David C
Nandra, Kirpal
Phillips, Andrew C
Rosario, David J
Schlafly, Edward F
Trump, Jonathan R
Weiner, Benjamin
Willmer, Christopher N. A.
Yan, Renbin
Affiliation
Univ Arizona, MMT Steward ObservUniv Arizona, Stewand Observ
Issue Date
2019-07-25
Metadata
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OXFORD UNIV PRESSCitation
Rongpu Zhou, Michael C Cooper, Jeffrey A Newman, Matthew L N Ashby, James Aird, Christopher J Conselice, Marc Davis, Aaron A Dutton, S M Faber, Jerome J Fang, G G Fazio, Puragra Guhathakurta, Dale Kocevski, David C Koo, Kirpal Nandra, Andrew C Phillips, David J Rosario, Edward F Schlafly, Jonathan R Trump, Benjamin Weiner, Christopher N A Willmer, Renbin Yan, Deep ugrizY imaging and DEEP2/3 spectroscopy: a photometric redshift testbed for LSST and public release of data from the DEEP3 Galaxy Redshift Survey, Monthly Notices of the Royal Astronomical Society, Volume 488, Issue 4, October 2019, Pages 4565–4584, https://doi.org/10.1093/mnras/stz1866Rights
Copyright © 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We present catalogues of calibrated photometry and spectroscopic redshifts in the Extended Groth Strip, intended for studies of photometric redshifts (photo-z’s). The data includes ugriz photometry from Canada–France–Hawaii Telescope Legacy Survey (CFHTLS) and Y-band photometry from the Subaru Suprime camera, as well as spectroscopic redshifts from the DEEP2, DEEP3, and 3D-HST surveys. These catalogues incorporate corrections to produce effectively matched-aperture photometry across all bands, based upon object size information available in the catalogue and Moffat profile point spread function fits. We test this catalogue with a simple machine learning-based photometric redshift algorithm based upon Random Forest regression, and find that the corrected aperture photometry leads to significant improvement in photo-z accuracy compared to the original SExtractor catalogues from CFHTLS and Subaru. The deep ugrizY photometry and spectroscopic redshifts are well suited for empirical tests of photometric redshift algorithms for LSST. The resulting catalogues are publicly available at http://d-scholarship.pitt.edu/36064/. We include a basic summary of the strategy of the DEEP3 Galaxy Redshift Survey to accompany the recent public release of DEEP3 data.ISSN
0035-8711Version
Final published versionSponsors
National Science FoundationNational Science Foundation (NSF) [AST-95-09298, AST-0071048, AST-0507428, AST-0507483, AST-08-08133, AST-08-07630, AST-08-06732, AST-1238877]; NASA Long Term Space Astrophysics Research Program [NNG04GC89G]; Department of Energy grantUnited States Department of Energy (DOE) [DE-SC0007914]; 3D-HST Treasury Program [12177, 12328]; NASANational Aeronautics & Space Administration (NASA) [NAS5-26555]; Alfred P. Sloan FoundationAlfred P. Sloan Foundation; National Science FoundationNational Science Foundation (NSF); U.S. Department of EnergyUnited States Department of Energy (DOE); National Aeronautics and Space AdministrationNational Aeronautics & Space Administration (NASA); Japanese MonbukagakushoMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT); Max Planck SocietyMax Planck Society; Higher Education Funding Council for EnglandHigher Education Funding Council for England; American Museum of Natural History; Astrophysical Institute Potsdam; University of Basel; University of CambridgeUniversity of Cambridge; CaseWestern Reserve University; University of ChicagoUniversity of Chicago; Drexel University; FermilabUnited States Department of Energy (DOE)University of Chicago; Institute for Advanced Study,Institute for Advanced Study; Japan Participation GroupSloan Digital Sky Survey (SDSS); Johns Hopkins UniversityJohns Hopkins University; Joint Institute for Nuclear Astrophysics; Kavli Institute for Particle Astrophysics and Cosmology; Korean Scientist Group; Chinese Academy of Sciences (LAMOST)Chinese Academy of Sciences; Los Alamos National LaboratoryUnited States Department of Energy (DOE)Los Alamos National Laboratory; MaxPlanck-Institute for Astronomy (MPIA); Max-Planck-Institute for Astrophysics (MPA); New Mexico State University; Ohio State UniversityOhio State University; University of PittsburghUniversity of Pittsburgh; University of Portsmouth; Princeton UniversityPrinceton University; United States Naval Observatory; University of WashingtonUniversity of Washington; National Aeronautics and Space Administration through the Planetary Science Division of the NASA Science Mission Directorate [NNX08AR22G]; Science and Technology Facilities Council (STFC)Science & Technology Facilities Council (STFC)Science and Technology Development Fund (STDF) [ST/P000541/1]ae974a485f413a2113503eed53cd6c53
10.1093/mnras/stz1866
