期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 502, 期 2, 页码 2074-2086出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab189
关键词
cosmological parameters; dark matter; large-scale structure of Universe
资金
- NSF(National Science Foundation) MRI [AST 1828315]
- U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-SC0019301]
- David and Lucille Packard foundation
- Alfred P. Sloan foundation
- National Science Foundation of China [11833005, 11922305]
- NSF [2009377, AST 2008696]
- NASA(National Aeronautics and Space Administration) [80NSSC18K0728]
- Office of Science, Office of High Energy Physics of the U.S. Department of Energy [DE-AC02-05CH1123, DE-AC0205CH1123]
- National Science Foundation
- U.S. Department of Energy Office of Science
- University of Arizona
- Brazilian Participation Group
- Brookhaven National Laboratory
- Carnegie Mellon University
- University of Florida
- French Participation Group
- German Participation Group
- Harvard University
- Instituto de Astrofisica de Canarias
- Michigan State/Notre Dame/JINA Participation Group
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Max Planck Institute for Astrophysics
- Max Planck Institute for Extraterrestrial Physics
- New Mexico State University
- New York University
- Ohio State University
- Pennsylvania State University
- University of Portsmouth
- Princeton University
- Spanish Participation Group
- University of Tokyo
- University of Utah
- Vanderbilt University
- University of Virginia
- University of Washington
- Yale University
- Dark Energy Camera Legacy Survey (DECaLS
- NSF's OIR Lab) [2014B-0404]
- Beijing-Arizona Sky Survey (BASS
- NSF'sOIR Lab) [2015A-0801]
- Mayall z-band Legacy Survey (MzLS
- NSF's OIR Lab) [2016A-0453]
- 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 UrbanaChampaign
- 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
- 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 Consor-tium
- 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
- LudwigMaximilians Universitat Munchen
- University of Michigan
- National Optical Astronomy Observatory
- University of Nottingham
- University of Pennsylvania
- SLAC National Accelerator Laboratory
- Stanford University
- University of Sussex
- Texas AM University
- National Astronomical Observatories of China
- Chinese Academy of Sciences [XDB09000000]
- Special Fund for Astronomy from the Ministry of Finance
- External Cooperation Program of Chinese Academy of Sciences [114A11KYSB20160057]
- Chinese National Natural Science Foundation [11433005]
- National Aeronautics and Space Administration
- National Energy Research Scientific Computing Center, a DOE Office of Science User Facility [DE-AC0205CH1123]
- U.S. National Science Foundation, Division of Astronomical Sciences [AST-0950945]
- U.S. Department of Energy (DOE) [DE-SC0019301] Funding Source: U.S. Department of Energy (DOE)
- Direct For Mathematical & Physical Scien
- Division Of Astronomical Sciences [2009377] Funding Source: National Science Foundation
The study presents new measurements and modeling of galaxies in the BOSS LOWZ sample, showing a lensing amplitude mismatch that is relatively independent of halo mass and radial scale. This suggests that astrophysical processes may not fully explain the observed effect, and new physics requiring a uniform suppression of matter fluctuations on certain scales may be needed. The physical origin of the "lensing is low" effect on different radial scales is likely the same, according to the observations.
The canonical Lambda cold dark matter (ACDM) cosmological model makes precise predictions for the clustering and lensing properties of galaxies. It has been shown that the lensing amplitude of galaxies in the Baryon Oscillation Spectroscopic Survey (BOSS) is lower than expected given their clustering properties. We present new measurements and modelling of galaxies in the BOSS LOWZ sample. We focus on the radial and stellar mass dependence of the lensing amplitude mismatch. We find an amplitude mismatch of around 35 per cent when assuming ACDM with Planck Cosmological Microwave Background (CMB) constraints. This offset is independent of halo mass and radial scale in the range Mhalo similar to 10(13.3) - 10(13.9) h(-1) M-circle dot and r = 0.1-60h(-1) Mpc (k approximate to 0.05-20 h Mpc(-1)). The observation that the offset is both mass and scale independent places important constraints on the degree to which astrophysical processes (baryonic effects, assembly bias) can fully explain the effect. This scale independence also suggests that the 'lensing is low' effect on small and large radial scales probably have the same physical origin. Resolutions based on new physics require a nearly uniform suppression, relative to ACDM predictions, of the amplitude of matter fluctuations on these scales. The possible causes of this are tightly constrained by measurements of the CMB and of the low-redshift expansion history.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据