Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization
- Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
- Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
- Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
- Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
- Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain
- Institute of Space Sciences, IEEC-CSIC, Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
- Department of Physics, University of Arizona, Tucson, AZ 85721, USA
- Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain; Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
- Laboratório Interinstitucional de e-Astronomia -- LIneA, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil; Observatório Nacional, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil
- Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
- Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; Department of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 16, CH-8093 Zurich, Switzerland
- Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
- Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA; Department of Physics, The Ohio State University, Columbus, OH 43210, USA
- Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
- ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); School of Mathematics and Physics, University of Queensland, Brisbane, QLD 4072, Australia
- Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Victoria 3122, Australia
- School of Mathematics and Physics, University of Queensland, Brisbane, QLD 4072, Australia
- ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); Sydney Institute for Astronomy, School of Physics A28, The University of Sydney, NSW 2006, Australia
- ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
- ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); The Research School of Astronomy and Astrophysics, Australian National University, ACT 2601, Australia
- ARC Centre of Excellence for All-sky Astrophysics (CAASTRO)
- ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, Jiangshu 210008, China
- Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
- LSST, 933 North Cherry Avenue, Tucson, AZ 85721, USA
- Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
- ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); INAF -- Osservatorio Astrofisico di Torino, via Osservatorio 20, I-10025 Pino Torinese, Italy
- Department of Astronomy, University of Illinois, 1002 W. Green Street, Urbana, IL 61801, USA; National Center for Supercomputing Applications, 1205 West Clark St, Urbana, IL 61801, USA
- George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, and Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
- Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
- Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA; Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109, USA
- Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA; Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
- Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA; Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
- Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
- Department of Astronomy, University of California, Berkeley, 501 Campbell Hall, Berkeley, CA 94720, USA; Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
- Astronomy Department, University of Washington, Box 351580, Seattle, WA 98195, USA
- Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
- INAF -- Osservatorio Astrofisico di Torino, via Osservatorio 20, I-10025 Pino Torinese, Italy
- Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
- Laboratório Interinstitucional de e-Astronomia -- LIneA, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil; Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, 05314-970 São Paulo, SP, Brazil
- Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
- INAF -- Osservatorio Astrofisico di Torino, via Osservatorio 20, I-10025 Pino Torinese, Italy; Department of Astronomy, University of Illinois, 1002 W. Green Street, Urbana, IL 61801, USA
- Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
- Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109, USA
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
- Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
- Brookhaven National Laboratory, Bldg 510, Upton, NY 11973, USA
- School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
- Laboratório Interinstitucional de e-Astronomia -- LIneA, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil; Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859 Campinas, SP, Brazil
- Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- National Center for Supercomputing Applications, 1205 West Clark St, Urbana, IL 61801, USA
- Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany; Excellence Cluster Universe, Boltzmannstr. 2, D-85748 Garching, Germany; Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany
Here, we use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing (WL) source galaxies from the Dark Energy Survey Year 1 (DES Y1) sample with redMaGiC galaxies (luminous red galaxies with secure photometric redshifts) to estimate the redshift distribution of the former sample. The recovered redshift distributions are used to calibrate the photometric redshift bias of standard photo-$$z$$ methods applied to the same source galaxy sample. We apply the method to three photo-$$z$$ codes run in our simulated data: Bayesian Photometric Redshift (BPZ), Directional Neighborhood Fitting (DNF), and Random Forest-based photo-$$z$$ (RF). We characterize the systematic uncertainties of our calibration procedure, and find that these systematic uncertainties dominate our error budget. The dominant systematics are due to our assumption of unevolving bias and clustering across each redshift bin, and to differences between the shapes of the redshift distributions derived by clustering vs photo-$$z$$'s. The systematic uncertainty in the mean redshift bias of the source galaxy sample is $$\Delta z \lesssim 0.02$$, though the precise value depends on the redshift bin under consideration. We discuss possible ways to mitigate the impact of our dominant systematics in future analyses.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- Contributing Organization:
- DES Collaboration
- Grant/Contract Number:
- AC02-07CH11359; SC0012704; AC05-00OR22725; AC02-05CH11231
- OSTI ID:
- 1439283
- Alternate ID(s):
- OSTI ID: 1399673; OSTI ID: 1468040; OSTI ID: 1487083
- Report Number(s):
- FERMILAB-PUB-17-317-A-AE; arXiv:1709.00992; BNL-114383-2017-JA; 1621443; TRN: US1900591
- Journal Information:
- Monthly Notices of the Royal Astronomical Society, Vol. 477, Issue 2; ISSN 0035-8711
- Publisher:
- Royal Astronomical SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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