4.6 Article

KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis

期刊

ASTRONOMY & ASTROPHYSICS
卷 646, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/0004-6361/202038831

关键词

cosmology: miscellaneous; gravitational lensing: weak; large-scale structure of Universe; methods: data analysis; methods: analytical; methods: statistical

资金

  1. European Research Council [647112]
  2. European Union [797794]
  3. Max Planck Society
  4. Alexander von Humboldt Foundation
  5. Federal Ministry of Education and Research
  6. Heisenberg grant of the Deutsche Forschungsgemeinschaft [Hi 1495/5-1]
  7. ERC Consolidator Grant [770935]
  8. Excellence Cluster ORIGINS - Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy [EXC-2094 - 390783311]
  9. Polish Ministry of Science and Higher Education [DIR/WK/2018/12]
  10. Polish National Science Center [2018/30/E/ST9/00698]
  11. Spanish Ministry of Science MINECO [PGC2018-102021, 639.043.512]
  12. Netherlands Organisation for Scientific Research (NWO)
  13. NSFC of China [11973070]
  14. Shanghai Committee of Science and Technology [19ZR1466600]
  15. Key Research Program of Frontier Sciences, CAS [ZDBS-LY-7013]
  16. Science and Technology Facilities Council
  17. ESO Telescopes at the La Silla Paranal Observatory under programme [177.A-3016, 177.A-3017, 177.A-3018, 179.A-2004, 298.A-5015, A/2014B/008]
  18. Alfred P. Sloan Foundation
  19. National Science Foundation
  20. U.S. Department of Energy Office of Science
  21. University of Arizona
  22. Brazilian Participation Group
  23. Brookhaven National Laboratory
  24. Carnegie Mellon University, University of Florida
  25. French Participation Group
  26. German Participation Group
  27. Harvard University
  28. Instituto de Astrofisica de Canarias
  29. Michigan State/Notre Dame/JINA Participation Group
  30. Johns Hopkins University
  31. Lawrence Berkeley National Laboratory
  32. Max Planck Institute for Astrophysics
  33. Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University
  34. Pennsylvania State University, University of Portsmouth
  35. Princeton University
  36. Spanish Participation Group, University of Tokyo, University of Utah
  37. Yale University
  38. STFC [ST/R000972/1] Funding Source: UKRI
  39. Marie Curie Actions (MSCA) [797794] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

This paper presents a methodology for joint cosmological analysis using weak gravitational lensing and galaxy clustering data from multiple surveys. The analysis incorporates cross-correlations, develops a hybrid model for non-linear scales, updates calibration procedures, and assesses signal contributions from astrophysical effects. The study also validates likelihood and goodness-of-fit statistics, introduces a new prior on the structure growth parameter, and proposes an alternative estimator for S-8 weak lensing constraints. Systematic effects are shown to bias S-8 by no more than 0.1 standard deviations, with expected improvements in S-8 constraints compared to previous analyses.
We present the methodology for a joint cosmological analysis of weak gravitational lensing from the fourth data release of the ESO Kilo-Degree Survey (KiDS-1000) and galaxy clustering from the partially overlapping Baryon Oscillation Spectroscopic Survey (BOSS) and the 2-degree Field Lensing Survey (2dFLenS). Cross-correlations between BOSS and 2dFLenS galaxy positions and source galaxy ellipticities have been incorporated into the analysis, necessitating the development of a hybrid model of non-linear scales that blends perturbative and non-perturbative approaches, and an assessment of signal contributions by astrophysical effects. All weak lensing signals were measured consistently via Fourier-space statistics that are insensitive to the survey mask and display low levels of mode mixing. The calibration of photometric redshift distributions and multiplicative gravitational shear bias has been updated, and a more complete tally of residual calibration uncertainties was propagated into the likelihood. A dedicated suite of more than 20 000 mocks was used to assess the performance of covariance models and to quantify the impact of survey geometry and spatial variations of survey depth on signals and their errors. The sampling distributions for the likelihood and the chi(2) goodness-of-fit statistic have been validated, with proposed changes for calculating the effective number of degrees of freedom. The prior volume was explicitly mapped, and a more conservative, wide top-hat prior on the key structure growth parameter S-8=sigma(8) (Omega(m)/0.3)(1/2) was introduced. The prevalent custom of reporting S-8 weak lensing constraints via point estimates derived from its marginal posterior is highlighted to be easily misinterpreted as yielding systematically low values of S-8, and an alternative estimator and associated credible interval are proposed. Known systematic effects pertaining to weak lensing modelling and inference are shown to bias S-8 by no more than 0.1 standard deviations, with the caveat that no conclusive validation data exist for models of intrinsic galaxy alignments. Compared to the previous KiDS analyses, S-8 constraints are expected to improve by 20% for weak lensing alone and by 29% for the joint analysis.

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