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Optimized Photometric Redshifts for the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS)

Dritan KodraDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260, USA; [email protected]Brett H. AndrewsDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260, USA; [email protected]Jeffrey A. NewmanDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260, USA; [email protected]Steven L. FinkelsteinDepartment of Astronomy, The University of Texas at Austin, 2515 Speedway, Austin, TX 78712, USAA. FontanaOsservatorio Astronomico di Roma, via di Frascati 33, I-00078 Monte Porzio Catone (Roma), ItalyNimish P. HathiSpace Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USAM. SalvatoMax-Planck-Institut für extraterrestrische Physik, Giessenbachstr. 1, D-85748 Garching, GermanyTommy WiklindDepartment of Physics, Catholic University of America, Washington DC 20064, USAStijn WuytsDepartment of Physics, University of Bath, Claverton Down, Bath BA2 7AY, UKAdam BroussardDepartment of Physics and Astronomy, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USANima ChartabDepartment of Physics and Astronomy, University of California, Irvine, CA 92697, USAChristopher J. ConseliceJodrell Bank Centre for Astrophysics, University of Manchester, Oxford Road, Manchester, UKMichael C. CooperCenter for Cosmology, Department of Physics & Astronomy, University of California, Irvine, 4129 Reines Hall, Irvine, CA 92697, USAAvishai DekelRacah Institute of Physics, The Hebrew University, Jerusalem 91904, IsraelMark DickinsonNSF’s NOIRLab, 950 N. Cherry Avenue, Tucson, AZ 85719, USAHenry C. FergusonSpace Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USAEric GawiserDepartment of Physics and Astronomy, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USANorman A. GroginSpace Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USAKartheik G. IyerDunlap Institute for Astronomy and Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, CanadaJ. S. KartaltepeSchool of Physics and Astronomy, Rochester Institute of Technology, Rochester, NY 14623, USASusan A. KassinSpace Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USAA. M. KoekemoerSpace Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USADavid C. KooDepartment of Astronomy and Astrophysics, University of California, Santa Cruz, Santa Cruz, CA 95064, USARay A. LucasSpace Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USAKameswara Bharadwaj ManthaMinnesota Institute for Astrophysics, University of Minnesota, 116 Church Street SE, Minneapolis, MN 55455, USADaniel H. McIntoshDepartment of Physics & Astronomy, University of Missouri, Kansas City, Kansas City, MO 64110, USAB. MobasherDepartment of Physics and Astronomy, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USACamilla PacificiSpace Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USAPablo G. Pérez‐GonzálezCentro de Astrobiología, CAB/CSIC-INTA, Ctra. de Torrejón a Ajalvir, km 4, E-28850, Torrejón de Ardoz, Madrid, SpainP. SantiniOsservatorio Astronomico di Roma, via di Frascati 33, I-00078 Monte Porzio Catone (Roma), Italy

2023en

ABI

Annotatsiya

Abstract We present the first comprehensive release of photometric redshifts (photo - z 's) from the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey (CANDELS) team. We use statistics based upon the Quantile–Quantile ( Q – Q ) plot to identify biases and signatures of underestimated or overestimated errors in photo - z probability density functions (PDFs) produced by six groups in the collaboration; correcting for these effects makes the resulting PDFs better match the statistical definition of a PDF. After correcting each group’s PDF, we explore three methods of combining the different groups’ PDFs for a given object into a consensus curve. Two of these methods are based on identifying the minimum f -divergence curve, i.e., the PDF that is closest in aggregate to the other PDFs in a set (analogous to the median of an array of numbers). We demonstrate that these techniques yield improved results using sets of spectroscopic redshifts independent of those used to optimize PDF modifications. The best photo - z PDFs and point estimates are achieved with the minimum f -divergence using the best four PDFs for each object (mFDa4) and the hierarchical Bayesian (HB4) methods, respectively. The HB4 photo - z point estimates produced σ NMAD = 0.0227/0.0189 and ∣Δ z /(1 + z )∣ > 0.15 outlier fraction = 0.067/0.019 for spectroscopic and 3D Hubble Space Telescope redshifts, respectively. Finally, we describe the structure and provide guidance for the use of the CANDELS photo - z catalogs, which are available at https://archive.stsci.edu/prepds/candels/ .

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DOI: 10.3847/1538-4357/ac9f12

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