TY - JOUR
T1 - Deep ugrizY imaging and DEEP2/3 spectroscopy
T2 - A photometric redshift testbed for LSST and public release of data from the DEEP3 galaxy redshift survey
AU - Zhou, Rongpu
AU - Cooper, Michael C.
AU - Newman, Jeffrey A.
AU - Ashby, Matthew L.N.
AU - Aird, James
AU - Conselice, Christopher J.
AU - Davis, Marc
AU - Dutton, Aaron A.
AU - Faber, S. M.
AU - Fang, Jerome J.
AU - Fazio, G. G.
AU - Guhathakurta, Puragra
AU - Kocevski, Dale
AU - Koo, David C.
AU - Nandra, Kirpal
AU - Phillips, Andrew C.
AU - Rosario, David J.
AU - Schlafly, Edward F.
AU - Trump, Jonathan R.
AU - Weiner, Benjamin
AU - Willmer, Christopher N.A.
AU - Yan, Renbin
N1 - Publisher Copyright:
© 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society
PY - 2019/10/1
Y1 - 2019/10/1
N2 - 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.
AB - 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.
KW - Catalogues
KW - Galaxies: distances
KW - Redshifts
KW - Surveys
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U2 - 10.1093/mnras/stz1866
DO - 10.1093/mnras/stz1866
M3 - Article
AN - SCOPUS:85083207652
SN - 0035-8711
VL - 488
SP - 4565
EP - 4584
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 4
ER -