4.7 Article

Dark Energy Survey year 3 results: Constraints on cosmological parameters and galaxy-bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample

期刊

PHYSICAL REVIEW D
卷 106, 期 4, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.106.043520

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资金

  1. Department of Energy [DE-SC0020247]
  2. David and Lucile Packard Foundation
  3. U.S. Department of Energy [DE-SC0007901]
  4. NASA ATP [NNH17ZDA001N]
  5. U.S. Department of Energy
  6. U.S. National Science Foundation
  7. Ministry of Science and Education of Spain
  8. Science and Technology Facilities Council of the United Kingdom
  9. Higher Education FundingCouncil for England
  10. National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
  11. Kavli Institute of Cosmological Physics at the University of Chicago
  12. Center for Cosmology and Astro-Particle Physics at The Ohio State University
  13. Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
  14. Financiadora de Estudos e Projetos
  15. Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
  16. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
  17. Ministerio da Ciencia, Tecnologia e Inovacao
  18. Deutsche Forschungsgemeinschaft
  19. Argonne National Laboratory
  20. University of California at Santa Cruz
  21. University of Cambridge
  22. Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
  23. University of Chicago
  24. University College London
  25. DES-Brazil Consortium
  26. University of Edinburgh
  27. Eidgenossische Technische Hochschule (ETH) Zurich
  28. Fermi National Accelerator Laboratory
  29. University of Illinois at Urbana Champaign
  30. Institut de Ciencies de l'Espai (IEEC/CSIC)
  31. Institut de Fisica d'Altes Energies
  32. Lawrence Berkeley National Laboratory
  33. Ludwig-Maximilians Universitat Munchen
  34. associated Excellence Cluster Universe
  35. University of Michigan
  36. National Optical Astronomy Observatory
  37. University of Nottingham
  38. Ohio State University
  39. University of Pennsylvania
  40. University of Portsmouth
  41. SLAC National Accelerator Laboratory
  42. Stanford University
  43. University of Sussex
  44. Texas AM University
  45. OzDES Membership Consortium
  46. National Science Foundation [AST-1138766, AST-1536171]
  47. MINECO [AYA2015-71825, ESP2015-88861, FPA2015-68048, SEV-2012-0234, SEV-20160597, MDM-2015-0509]
  48. ERDF funds from the European Union
  49. CERCA program of the Generalitat de Catalunya
  50. European Research Council under the European Union [240672, 291329, 306478]
  51. Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO) [CE110001020]
  52. U.S. Department of Energy, Office of Science, Office ofHigh Energy Physics [DEAC02-07CH11359]
  53. U.S. Department of Energy (DOE) [DE-SC0020247] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

This study uses data from Dark Energy Survey (DES) year-3 to constrain cosmological parameters and galaxy-bias parameters. The analysis combines measurements of galaxy clustering and galaxy-galaxy lensing. The study finds inconsistencies between the galaxy clustering and galaxy-galaxy lensing measurements, likely due to systematic measurement errors. By changing the selection criteria for the galaxy sample, the study obtains more consistent results.
We constrain cosmological parameters and galaxy-bias parameters using the combination of galaxy clustering and galaxy-galaxy lensing measurements from the Dark Energy Survey (DES) year-3 data. We describe our modeling framework and choice of scales analyzed, validating their robustness to theoretical uncertainties in small-scale clustering by analyzing simulated data. Using a linear galaxy-bias model and redMaGiC galaxy sample, we obtain 10% constraints on the matter density of the Universe. We also implement a nonlinear galaxy-bias model to probe smaller scales that includes parametrization based on hybrid perturbation theory and find that it leads to a 17% gain in cosmological constraining power. We perform robustness tests of our methodology pipeline and demonstrate stability of the constraints to changes in the theory model. Using the redMaGiC galaxy sample as foreground lens galaxies and adopting the best-fitting cosmological parameters from DES year-1 data, we find the galaxy clustering and galaxygalaxy lensing measurements to exhibit significant signals akin to decorrelation between galaxies and mass on large scales, which is not expected in any current models. This likely systematic measurement error biases our constraints on galaxy bias and the S-8 parameter. We find that a scale-, redshift- and sky-areaindependent phenomenological decorrelation parameter can effectively capture this inconsistency between the galaxy clustering and galaxy-galaxy lensing. We trace the source of this correlation to a colordependent photometric issue and minimize its impact on our result by changing the selection criteria of redMaGiC galaxies. Using this new sample, our constraints on the S-8 parameter are consistent with previous studies and we find a small shift in the Omega(m). constraints compared to the fiducial redMaGiC sample. We infer the constraints on the mean host-halo mass of the redMaGiC galaxies in this new sample from the large-scale bias constraints, finding the galaxies occupy halos of mass approximately 1.6 x 10(13) M-circle dot/h.

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