4.7 Article

The SDSS-IV eBOSS: emission line galaxy catalogues at z ≈ 0.8 and study of systematic errors in the angular clustering

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 465, Issue 2, Pages 1831-1846

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stw2741

Keywords

methods: data analysis; catalogues; galaxies: distances and redshifts; galaxies: general; galaxies: photometry; cosmology: observations

Funding

  1. ERC advanced grant LIDA
  2. MINECO (Spain) [AYA2012-31101]
  3. P2IO LabEx in the framework 'Investissements d'Avenir' [ANR-10-LABX-0038, ANR-11-IDEX-0003-01]
  4. Spanish MICINNs Consolider-Ingenio Programme [MultiDark CSD2009-00064]
  5. MINECO Centro de Excelencia Severo Ochoa Programme [SEV- 2012-0249]
  6. MINECO [AYA2014-60641-C2-1-P]
  7. CNRS/INSU, France
  8. Alfred P. Sloan Foundation
  9. National Science Foundation
  10. US Department of Energy Office of Science
  11. University of Arizona
  12. Brazilian Participation Group
  13. Brookhaven National Laboratory
  14. Carnegie Mellon University
  15. University of Florida
  16. French Participation Group
  17. German Participation Group
  18. Harvard University
  19. Instituto de Astrofisica de Canarias
  20. Michigan State/Notre Dame/JINA Participation Group
  21. Johns Hopkins University
  22. Lawrence Berkeley National Laboratory
  23. Max Planck Institute for Astrophysics
  24. Max Planck Institute for Extraterrestrial Physics
  25. New Mexico State University
  26. New York University
  27. Ohio State University
  28. Pennsylvania State University
  29. University of Portsmouth
  30. Princeton University
  31. Spanish Participation Group
  32. University of Tokyo
  33. University of Utah
  34. Vanderbilt University
  35. University of Virginia
  36. University of Washington
  37. Yale University
  38. Carnegie Institution for Science
  39. Chilean Participation Group
  40. Harvard-Smithsonian Center for Astrophysics
  41. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  42. Leibniz Institut fur Astrophysik Potsdam (AIP)
  43. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  44. Max-Planck-Institut fur Astrophysik (MPA Garching)
  45. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  46. National Astronomical Observatory of China
  47. University of Notre Dame
  48. Observatario Nacional/MCTI
  49. Shanghai Astronomical Observatory
  50. United Kingdom Participation Group
  51. Universidad Nacional Autonoma de Mexico
  52. University of Colorado Boulder
  53. University of Wisconsin
  54. Main Direction Program of Knowledge Innovation of Chinese Academy of Sciences [KJCX2-EW-T06]
  55. National Aeronautics and Space Administration
  56. Center for High-Performance Computing at the University of Utah
  57. STFC [ST/N000668/1, ST/M001334/1] Funding Source: UKRI
  58. Science and Technology Facilities Council [ST/M001334/1, ST/N000668/1] Funding Source: researchfish
  59. UK Space Agency [ST/N002679/1, ST/K003135/1] Funding Source: researchfish

Ask authors/readers for more resources

We present two wide-field catalogues of photometrically selected emission line galaxies (ELGs) at z approximate to 0.8 covering about 2800 deg(2)over the south galactic cap. The catalogues were obtained using a Fisher discriminant technique described in a companion paper. The two catalogues differ by the imaging used to define the Fisher discriminant: the first catalogue includes imaging from the Sloan Digital Sky Survey and the Wide-field Infrared Survey Explorer, the second also includes information from the South Galactic Cap U-band Sky Survey. Containing respectively 560 045 and 615 601 objects, they represent the largest ELG catalogues available today and were designed for the ELG programme of the extended Baryon Oscillation Spectroscopic Survey (eBOSS). We study potential sources of systematic variation in the angular distribution of the selected ELGs due to fluctuations of the observational parameters. We model the influence of the observational parameters using a multivariate regression and implement a weighting scheme which allows effective removal of all of the systematic errors induced by the observational parameters. We show that fluctuations in the imaging zero-points of the photometric bands have minor impact on the angular distribution of objects in our catalogues. We compute the angular clustering of both catalogues and show that our weighting procedure effectively removes spurious clustering on large scales. We fit a model to the small-scale angular clustering, showing that the selections have similar biases of 1.35/D-a(z) and 1.28/D-a(z). Both catalogues are publicly available.

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PINION: physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization (vol 521, pg 902, 2023)

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MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

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