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Deep ugrizY imaging and DEEP2/3 spectroscopy: a photometric redshift testbed for LSST and public release of data from the DEEP3 Galaxy Redshift Survey

Zhou, Rongpu; Cooper, Michael C; Newman, Jeffrey A; Ashby, Matthew LN; Aird, James; Conselice, Christopher J; Davis, Marc; Dutton, Aaron A; Faber, SM; Fang, Jerome J; Fazio, GG; 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 NA; Yan, Renbin

Deep ugrizY imaging and DEEP2/3 spectroscopy: a photometric redshift testbed for LSST and public release of data from the DEEP3 Galaxy Redshift Survey Thumbnail


Authors

Rongpu Zhou

Michael C Cooper

Jeffrey A Newman

Matthew LN Ashby

James Aird

Christopher J Conselice

Marc Davis

Aaron A Dutton

SM Faber

Jerome J Fang

GG 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 NA Willmer

Renbin Yan



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.

Citation

Zhou, R., Cooper, M. C., Newman, J. A., Ashby, M. L., Aird, J., Conselice, C. J., …Yan, R. (2019). 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, 488(4), 4565-4584. https://doi.org/10.1093/mnras/stz1866

Journal Article Type Article
Acceptance Date Jun 27, 2019
Online Publication Date Jul 25, 2019
Publication Date Sep 30, 2019
Deposit Date Oct 8, 2019
Publicly Available Date Oct 8, 2019
Journal Monthly Notices of the Royal Astronomical Society
Print ISSN 0035-8711
Electronic ISSN 1365-2966
Publisher Royal Astronomical Society
Peer Reviewed Peer Reviewed
Volume 488
Issue 4
Pages 4565-4584
DOI https://doi.org/10.1093/mnras/stz1866

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Copyright Statement
This article has been accepted for publication in the Monthly notices of the Royal Astronomical Society ©: 2019 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.





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