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Title: Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data

Journal Article · · Monthly Notices of the Royal Astronomical Society
DOI:https://doi.org/10.1093/mnras/sty787· OSTI ID:1454415
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  1. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
  2. Department of Physics, University of Arizona, Tucson, AZ 85721, USA
  3. 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
  4. Institute of Space Sciences, IEEC-CSIC, Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
  5. Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
  6. Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
  7. Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
  8. 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
  9. 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
  10. Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
  11. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; Department of Physics and Electronics, Rhodes University, PO Box 94, Grahamstown 6140, South Africa
  12. LSST, 933 North Cherry Avenue, Tucson, AZ 85721, USA
  13. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; CNRS, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France
  14. CNRS, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France
  15. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
  16. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil; Observatório Nacional, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil
  17. 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
  18. Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
  19. Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
  20. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil
  21. Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA; Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
  22. Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
  23. Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA; Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  24. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK; Kavli Institute for Cosmology, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK; Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
  25. Astronomy Department, University of Washington, Box 351580, Seattle, WA 98195, USA; Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
  26. Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
  27. Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
  28. Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
  29. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil; Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, São Paulo, SP 05314-970, Brazil
  30. 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
  31. Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA; Department of Astronomy, The Ohio State University, Columbus, OH 43210, USA
  32. Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
  33. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
  34. Department of Physics and Astronomy, Pevensey Building, University of Sussex, Brighton BN1 9QH, UK
  35. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Av. Complutense 40, 28040 Madrid, Spain
  36. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
  37. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  38. School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
  39. Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859 Campinas, SP, Brazil; Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil
  40. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
  41. National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  42. Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
  43. 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, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA

Galaxy cross-correlations with high-fidelity redshift samples hold the potential to precisely calibrate systematic photometric redshift uncertainties arising from the unavailability of complete and representative training and validation samples of galaxies. However, application of this technique in the Dark Energy Survey (DES) is hampered by the relatively low number density, small area, and modest redshift overlap between photometric and spectroscopic samples. We propose instead using photometric catalogues with reliable photometric redshifts for photo-z calibration via cross-correlations. We verify the viability of our proposal using redMaPPer clusters from the Sloan Digital Sky Survey (SDSS) to successfully recover the redshift distribution of SDSS spectroscopic galaxies. We demonstrate how to combine photo-z with cross-correlation data to calibrate photometric redshift biases while marginalizing over possible clustering bias evolution in either the calibration or unknown photometric samples. We apply our method to DES Science Verification (DES SV) data in order to constrain the photometric redshift distribution of a galaxy sample selected for weak lensing studies, constraining the mean of the tomographic redshift distributions to a statistical uncertainty of Δz ~ ±0.01. We forecast that our proposal can, in principle, control photometric redshift uncertainties in DES weak lensing experiments at a level near the intrinsic statistical noise of the experiment over the range of redshifts where redMaPPer clusters are available. Our results provide strong motivation to launch a programme to fully characterize the systematic errors from bias evolution and photo-z shapes in our calibration procedure.

Research Organization:
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; AC05-00OR22725
OSTI ID:
1454415
Alternate ID(s):
OSTI ID: 1468041
Report Number(s):
FERMILAB-PUB-17-284-AE; arXiv:1707.08256; 1611648; TRN: US1901011
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
Citation Metrics:
Cited by: 21 works
Citation information provided by
Web of Science

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Cited By (15)

KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data journal January 2020
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data journal July 2018
Broadband Intensity Tomography: Spectral Tagging of the Cosmic UV Background journal June 2019
Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies journal April 2018
Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters journal October 2018
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing journal August 2019
Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations journal September 2018
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample journal February 2019
Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations text January 2018
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies text January 2017
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data text January 2017
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample text January 2018
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters text January 2018
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing text January 2019
Photo-z outlier self-calibration in weak lensing surveys text January 2020

Figures / Tables (6)


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