期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 510, 期 4, 页码 6150-6189出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab3586
关键词
cosmology: observations; large-scale structure of Universe
资金
- NSF MRI [AST 1828315]
- U.D Department of Energy, Office of Science, Office of High Energy Physics [DE-SC0019301]
- David and Lucille Packard foundation
- Alfred.P Sloan foundation
- European Research Council [647112]
- Max Planck Society
- Alexander von Humboldt Foundation
- Royal Society
- Heisenberg grant of the Deutsche Forschungsgemeinschaft [Hi 1495/5-1]
- ERC Consolidator Grant [770935]
- European Research Council Consolidator Grant [770935]
- U.S. Department of Energy
- U.S. National Science Foundation
- Ministry of Science and Education of Spain
- Science and Technology Facilities Council of the United Kingdom
- Higher Education Funding Council for England
- National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
- Kavli Institute of Cosmological Physics at the University of Chicago
- Center for Cosmology and Astro-Particle Physics at the Ohio State University
- Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
- Financiadora de Estudos e Projetos
- Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
- Ministerio da Ciencia
- Tecnologia e Inovacao
- Deutsche Forschungsgemeinschaft
- Argonne National Laboratory
- University of California at Santa Cruz
- University of Cambridge
- Centro de Investigaciones Energeticas
- Medioambientales y Tecnologicas-Madrid
- University of Chicago
- University College London
- DES-Brazil Consortium
- University of Edinburgh
- Eidgenossische Technische Hochschule (ETH) Zurich
- Fermi National Accelerator Laboratory
- University of Illinois at Urbana-Champaign
- Institut de Ciencies de l'Espai (IEEC/CSIC)
- Institut de Fisica d'Altes Energies
- Lawrence Berkeley National Laboratory
- Ludwig-Maximilians Universitat Munchen
- associated Excellence Cluster Universe
- University of Michigan
- NFS's NOIRLab
- University of Nottingham
- Ohio State University
- University of Pennsylvania
- University of Portsmouth
- SLAC National Accelerator Laboratory
- Stanford University
- University of Sussex
- Texas AM University
- OzDES Membership Consortium
- National Science Foundation [AST-1138766, AST-1536171, AST-1238877]
- MICINN [ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, MDM-2015-0509]
- ERDF funds from the European Union
- CERCA program of the Generalitat de Catalunya
- Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) do e-Universo (CNPq) [465376/2014-2]
- U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-AC02-07CH11359]
- FIRST program from the Japanese Cabinet Office
- Ministry of Education, Culture, Sports, Science, and Technology (MEXT)
- Japan Society for the Promotion of Science (JSPS)
- Japan Science and Technology Agency (JST)
- Toray Science Foundation
- NAOJ
- Kavli IPMU
- KEK
- ASIAA
- National Aeronautics and Space Administration through the Planetary Science Division of the NASA Science Mission Directorate [NNX08AR22G]
- ESO Telescopes at the La Silla Paranal Observatory [177.A-3016, 177.A-3017, 177.A-3018, 179.A-2004]
- ERC
- NOVA
- NWO-M
- Department of Energy, Laboratory Directed Research and Development program at SLAC National Accelerator Laboratory [DE-AC02-76SF00515]
- Panofsky Fellowship
- FAPERJ
- CNPq
- CONICET
- Brazilian funding agency FAPERJ
- Imperial College
- Cerro Tololo Inter-American Observatory at NSF's NOIRLab [2012B-0001]
- European Research Council under the European Union
- ERC [240672, 291329, 306478]
- Princeton University
- University of Padova
- University Federico II (Naples)
Lensing without borders is a cross-survey collaboration aimed at assessing the consistency of galaxy-galaxy lensing signals across different data sets and testing systematic errors. The study compares the amplitude of Delta sigma using lens samples from different surveys and finds good agreement between empirically estimated and reported systematic errors. A correlation between lensing amplitude and survey depth is detected in some lenses, possibly due to unrecognized galaxy blends and imperfections in photometric redshift calibration. The analysis suggests that lensing systematics alone are unlikely to fully explain the 'lensing is low' effect.
Lensing without borders is a cross-survey collaboration created to assess the consistency of galaxy-galaxy lensing signals (Delta sigma) across different data sets and to carry out end-to-end tests of systematic errors. We perform a blind comparison of the amplitude of Delta sigma using lens samples from BOSS and six independent lensing surveys. We find good agreement between empirically estimated and reported systematic errors which agree to better than 2.3 sigma in four lens bins and three radial ranges. For lenses with z(L) > 0.43 and considering statistical errors, we detect a 3-4 sigma correlation between lensing amplitude and survey depth. This correlation could arise from the increasing impact at higher redshift of unrecognized galaxy blends on shear calibration and imperfections in photometric redshift calibration. At z(L) > 0.54, amplitudes may additionally correlate with foreground stellar density. The amplitude of these trends is within survey-defined systematic error budgets that are designed to include known shear and redshift calibration uncertainty. Using a fully empirical and conservative method, we do not find evidence for large unknown systematics. Systematic errors greater than 15 per cent (25 per cent) ruled out in three lens bins at 68 per cent (95 per cent) confidence at z < 0.54. Differences with respect to predictions based on clustering are observed to be at the 20-30 per cent level. Our results therefore suggest that lensing systematics alone are unlikely to fully explain the 'lensing is low' effect at z < 0.54. This analysis demonstrates the power of cross-survey comparisons and provides a promising path for identifying and reducing systematics in future lensing analyses.
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