Deep ugrizY Imaging and DEEP2/3 Spectroscopy: A Photometric Redshift Testbed for LSST and Public Release of Data from the DEEP3 Galaxy Redshift Survey
Autor: | Christopher J. Conselice, Andrew C. Phillips, Puragra Guhathakurta, Dale D. Kocevski, Kirpal Nandra, Renbin Yan, Christopher N. A. Willmer, James Aird, Jerome J. Fang, Marc Davis, Jeffrey A. Newman, David C. Koo, Benjamin J. Weiner, Rongpu Zhou, David J. Rosario, Aaron A. Dutton, S. M. Faber, Matthew L. N. Ashby, Giovanni G. Fazio, Edward F. Schlafly, Michael C. Cooper, Jonathan R. Trump |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Point spread function
010504 meteorology & atmospheric sciences astro-ph.GA FOS: Physical sciences Astrophysics::Cosmology and Extragalactic Astrophysics Astronomy & Astrophysics 01 natural sciences law.invention Telescope Photometry (optics) Extended Groth Strip surveys law 0103 physical sciences Astrophysics::Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics catalogues Astrophysics::Galaxy Astrophysics 0105 earth and related environmental sciences Photometric redshift Physics Astrophysics::Instrumentation and Methods for Astrophysics Astronomy Astronomy and Astrophysics Redshift survey Astrophysics - Astrophysics of Galaxies Galaxy Redshift Space and Planetary Science Astrophysics of Galaxies (astro-ph.GA) distances and redshifts [galaxies] Astrophysics::Earth and Planetary Astrophysics Astrophysics - Instrumentation and Methods for Astrophysics Astronomical and Space Sciences astro-ph.IM |
Zdroj: | Monthly notices of the Royal Astronomical Society, 2019, Vol.488(4), pp.4565-4584 [Peer Reviewed Journal] Monthly Notices of the Royal Astronomical Society, vol 488, iss 4 |
Popis: | 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. 20 pages, 9 figures; published in MNRAS; for associated catalogs, see http://d-scholarship.pitt.edu/36064/ |
Databáze: | OpenAIRE |
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