4.7 Article

Dark Energy Survey Year 3 results: calibration of lens sample redshift distributions using clustering redshifts with BOSS/eBOSS

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac1160

关键词

surveys; galaxies: distances and redshifts; large-scale structure of Universe; cosmology: observations

资金

  1. US Department of Energy, Office of Science, Office of High Energy Physics
  2. US Department of Energy
  3. US National Science Foundation
  4. Ministry of Science and Education of Spain
  5. Science and Technology Facilities Council of the United Kingdom
  6. Higher Education Funding Council for England
  7. National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
  8. Center for Cosmology and Astro-Particle Physics at the Ohio State University
  9. Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
  10. Financiadora de Estudos e Projetos
  11. Fundacao Carlos Chagas Filho de Amparo `a Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cientifico e Tecnol 'ogico
  12. Deutsche Forschungsgemeinschaft
  13. Collaborating Institutions in the Dark Energy Survey
  14. University of California at Santa Cruz
  15. University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
  16. DES-Brazil Consortium
  17. University of Edinburgh
  18. Eidgenossische Technische Hochschule (ETH) Zurich
  19. Ludwig-Maximilians Universitat M unchen
  20. University of Portsmouth
  21. OzDES Membership Consortium [2012B-0001]
  22. National Science Foundation [AST-1138766, AST-1536171]
  23. MINECO [AYA201571825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV2016-0597, MDM-2015-0509]
  24. ERDF
  25. European Union - CERCA program of the Generalitat de Catalunya
  26. European Research Council under the European Union
  27. ERC [240672, 291329, 306478]
  28. Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq) [465376/2014-2, DE-AC02-07CH11359]
  29. Alfred P. Sloan Foundation
  30. US Department of Energy Office of Science
  31. Center for High-Performance Computing at the University of Utah
  32. Carnegie Institution for Science, Carnegie Mellon University, Center for Astrophysics | Harvard & Smithsonian (CfA)
  33. Chilean Participation Group
  34. French Participation Group
  35. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  36. Korean Participation Group
  37. Lawrence Berkeley National Laboratory
  38. Max-Planck-Institut fur Astrophysik (MPA Garching)
  39. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  40. New Mexico State University, New York University
  41. Shanghai Astronomical Observatory, United Kingdom Participation Group
  42. Yale University
  43. European Research Council (ERC) [240672, 306478, 291329] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

This study presents clustering redshift measurements for the Dark Energy Survey (DES) lens sample galaxies used in weak gravitational lensing and galaxy clustering studies. The methodology is validated in simulations and applied to estimate the redshift distribution for different photometrically selected bins. The results have important implications for calibrating the photometric redshift distributions used in companion papers for DES Year 3 results.
We present clustering redshift measurements for Dark Energy Survey (DES) lens sample galaxies used in weak gravitational lensing and galaxy clustering studies. To perform these measurements, we cross-correlate with spectroscopic galaxies from the Baryon Acoustic Oscillation Survey (BOSS) and its extension, eBOSS. We validate our methodology in simulations, including a new technique to calibrate systematic errors that result from the galaxy clustering bias, and we find that our method is generally unbiased in calibrating the mean redshift. We apply our method to the data, and estimate the redshift distribution for 11 different photometrically selected bins. We find general agreement between clustering redshift and photometric redshift estimates, with differences on the inferred mean redshift found to be below |Delta z| = 0.01 in most of the bins. We also test a method to calibrate a width parameter for redshift distributions, which we found necessary to use for some of our samples. Our typical uncertainties on the mean redshift ranged from 0.003 to 0.008, while our uncertainties on the width ranged from 4 to 9 per cent. We discuss how these results calibrate the photometric redshift distributions used in companion papers for DES Year 3 results.

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