Rongpu Zhou
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
Authors
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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