4.7 Article

Dark Energy Survey Year 3 results: Measurement of the baryon acoustic oscillations with three-dimensional clustering

Journal

PHYSICAL REVIEW D
Volume 106, Issue 12, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.106.123502

Keywords

-

Funding

  1. National Science Foundation of China [11873102, 12273121]
  2. China Manned Space Project [CMS-CSST-2021-B01]
  3. Science and Technology Program of Guangzhou, China [202002030360]
  4. Spanish Agencia Estatal de Investigacion through the grant IFT Centro de Excelencia Severo Ochoa [CEX2020-001007-S, EU-HORIZON-2020-776247]
  5. Atraccion de Talento Program - Comunidad de Madrid in Spain [2019-T1/TIC-12702]
  6. U.S. Department of Energy
  7. U.S. National Science Foundation
  8. Ministry of Science and Education of Spain
  9. Science and Technology Facilities Council of the United Kingdom
  10. Higher Education Funding Council for England
  11. National Center for Supercomputing Applications at the University of Illinois at UrbanaChampaign
  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. Deutsche Forschungsgemeinschaft
  18. Collaborating Institutions in the Dark Energy Survey
  19. University of California at Santa Cruz
  20. University of Cambridge
  21. Centro de Investigaciones Energeticas
  22. 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 and the associated Excellence Cluster Universe
  34. University of Michigan
  35. NSF's NOIRLab
  36. University of Nottingham
  37. Ohio State University
  38. University of Pennsylvania
  39. University of Portsmouth
  40. Stanford University, the University of Sussex
  41. Texas AM University
  42. OzDES Membership Consortium
  43. National Science Foundation [AST-1138766, AST-1536171]
  44. MICINN [ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, MDM-2015-0509]
  45. European Union
  46. CERCA program of the Generalitat de Catalunya
  47. European Research Council under the European Union [FP7/2007-2013]
  48. ERC Grant [240672, 291329, 306478]
  49. Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) do e-Universo (CNPq) [465376/2014-2]
  50. Fermi Research Alliance
  51. LLC [DE-AC02-07CH11359]
  52. U.S. Department of Energy, Office of Science, Office of High Energy Physics

Ask authors/readers for more resources

The study utilizes the projected three-dimensional correlation function to measure the correlation of large-scale structure and explores the constraints on the baryonic acoustic oscillations (BAO) scale. By considering the realistic redshift distributions and using a Gaussian stacking window function, the research obtains constraints on DM(zeff)/rs.
The three-dimensional correlation function offers an effective way to summarize the correlation of the large-scale structure even for imaging galaxy surveys. We have applied the projected three-dimensional correlation function, xi p to measure the baryonic acoustic oscillations (BAO) scale on the first-three years Dark Energy Survey data. The sample consists of about 7 million galaxies in the redshift range 0.6 < zp < 1.1 over a footprint of 4108 deg2. Our theory modeling includes the impact of realistic true redshift distributions beyond Gaussian photo -z approximation. xi p is obtained by projecting the three-dimensional correlation to the transverse direction. To increase the signal-to-noise of the measurements, we have considered a Gaussian stacking window function in place of the commonly used top-hat. xi p is sensitive to DM(zeff)/rs, the ratio between the comoving angular diameter distance and the sound horizon. Using the full sample, DM(zeff)/rs is constrained to be 19.00 +/- 0.67 (top-hat) and 19.15 +/- 0.58 (Gaussian) at zeff = 0.835. The constraint is weaker than the angular correlation w constraint (18.84 +/- 0.50), and we trace this to the fact that the BAO signals are heterogeneous across redshift. While ep responds to the heterogeneous signals by enlarging the error bar, w can still give a tight bound on DM=rs in this case. When a homogeneous BAO-signal subsample in the range 0.7 < zp < 1.0 (zeff = 0.845) is considered, ep yields 19.80 +/- 0.67 (top-hat) and 19.84 +/- 0.53 (Gaussian). The latter is mildly stronger than the w constraint (19.86 +/- 0.55). We find that the ep results are more sensitive to photo-z errors than w because ep keeps the three-dimensional clustering information causing it to be more prone to photo-z noise. The Gaussian window gives more robust results than the top-hat as the former is designed to suppress the low signal modes. ep and the angular statistics such as w have their own pros and cons, and they serve an important crosscheck with each other.

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