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26 April 2024

» arxiv » 1903.8174

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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
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 ;
Date:	19 Mar 2019
Abstract:	We present catalogs 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 CFHTLS and Y-band photometry from the Subaru Suprime camera, as well as spectroscopic redshifts from the DEEP2, DEEP3 and 3D-HST surveys. These catalogs incorporate corrections to produce effectively matched-aperture photometry across all bands, based upon object size information available in the catalog and Moffat profile point spread function fits. We test this catalog 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 catalogs 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 catalogs are publicly available. We include a basic summary of the strategy of the DEEP3 Galaxy Redshift Survey to accompany the recent public release of DEEP3 data.
Source:	arXiv, 1903.8174
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