Abstract
We evaluate the consistency between lensing and clustering based on measurements from Baryon Oscillation Spectroscopic Survey combined with galaxy-galaxy lensing from Dark Energy Survey (DES) Year 3, Hyper Suprime-Cam Subaru Strategic Program (HSC) Year 1, and Kilo-Degree Survey (KiDS)-1000. We find good agreement between these lensing data sets. We model the observations using the Dark Emulator and fit the data at two fixed cosmologies: Planck (S8 = 0.83), and a Lensing cosmology (S8 = 0.76). For a joint analysis limited to large scales, we find that both cosmologies provide an acceptable fit to the data. Full utilization of the higher signal-to-noise small-scale measurements is hindered by uncertainty in the impact of baryon feedback and assembly bias, which we account for with a reasoned theoretical error budget. We incorporate a systematic inconsistency parameter for each redshift bin, A, that decouples the lensing and clustering. With a wide range of scales, we find different results for the consistency between the two cosmologies. Limiting the analysis to the bins for which the impact of the lens sample selection is expected to be minimal, for the Lensing cosmology, the measurements are consistent with A = 1; A = 0.91 ± 0.04 (A = 0.97 ± 0.06) using DES+KiDS (HSC). For the Planck case, we find a discrepancy: A = 0.79 ± 0.03 (A = 0.84 ± 0.05) using DES+KiDS (HSC). We demonstrate that a kinematic Sunyaev-Zeldovich-based estimate for baryonic effects alleviates some of the discrepancy in the Planck cosmology. This analysis demonstrates the statistical power of small-scale measurements; however, caution is still warranted given modelling uncertainties and foreground sample selection effects.
Original language | English |
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Pages (from-to) | 477-503 |
Number of pages | 27 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 518 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2023 |
Funding
AA acknowledges financial support from the award of a Kavli Institute Fellowship at KIPAC and at KICC. HM and TN are supported by JSPS KAKENHI Grant Number 19H00677, by Japan Science and Technology Agency (JST) CREST JPMHCR1414, and by JST AIP Network Lab Acceleration Research Grant Number JP20317829. HM is supported by JSPS KAKENHI Grant Numbers 20H01932 and 21H05456, and by JSPS Core-to-Core Program Grant Numbers JPJSCCA20200002 and JPJSCCA20210003. CH, MA, and TT acknowledge support from the European Research Council under grant number 647112. CH also acknowledges support from the Max Planck Society and the Alexander von Humboldt Foundation in the framework of the Max Planck-Humboldt Research Award endowed by the Federal Ministry of Education and Research. TN is supported in part by MEXT/JSPS KAKENHI Grant Numbers JP20H05861 and JP21H01081. MB is supported by the Polish National Science Centre through grant numbers 2020/38/E/ST9/00395, 2018/30/E/ST9/00698, 2018/31/G/ST9/03388, and 2020/39/B/ST9/03494, and by the Polish Ministry of Science and Higher Education through grant DIR/WK/2018/12. JdJ is supported by the Netherlands Organisation for Scientific Research (NWO) through grant 621.016.402. HHi is supported by a Heisenberg grant of the Deutsche Forschungsge-meinschaft (Hi 1495/5-1), and AD and AW acknowledge support from an ERC Consolidator Grant (No. 770935). HHo acknowledges support from Vici grant 639.043.512, financed by the Netherlands Organisation for Scientific Research (NWO). HYS acknowledges the support from CMS-CSST-2021-A01 and CMS-CSST-2021-B01, NSFC of China under grant 11973070, the Shanghai Committee of Science and Technology grant No. 19ZR1466600, and Key Research Program of Frontier Science, Chinese Academy of Sciences, Grant No. ZDBS-LY-7013. TT acknowledges support from the Leverhulme Trust. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Te xas A&M Univ ersity, Financiadora de Estudos e Projetos, Funda\u00E7\u00E3o Carlos Chagas Filho de Amparo \u00E0 Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cient\u00EDfico e Tecnol\u00F3gico and the Minist\u00E9rio da Ci\u00EAncia, Tecnologiae Inova\u00E7\u00E3o, the Deutsche Forschungsgemeinschaft, and the collaborating institutions in the Dark Energy Survey. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Frame work Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ci\u00EAncia e Tecnologia (INCT) do Universo Online (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Funders | Funder number |
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Kavli Institute | |
Brazilian Instituto Nacional de Ciência e Tecnologia | |
High Energy Physics | |
KIPAC | |
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro | |
Leverhulme Trust | |
Ohio State University | |
University of Chicago | |
Generalitat de Catalunya | |
Higher Education Funding Council for England | |
Financiadora de Estudos e Projetos | |
Tecnologiae Inovação | |
Max-Planck-Gesellschaft | |
Bundesministerium für Bildung und Forschung | |
Ministry of Education and Science of Ukraine | |
European Commission | |
Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção | |
European Union's Seventh Frame work Program | |
U.S. Department of Energy | |
Mitchell Institute for Fundamental Physics and Astronomy at Te xas A&M Univ ersity | |
Science and Technology Facilities Council of the United Kingdom | |
Ministério da Ciência | |
Office of Science | |
National Centre for Supercomputing Applications | |
European Regional Development Fund | |
Alexander von Humboldt-Stiftung | |
Key Research Program of Frontier Science, Chinese Academy of Sciences | ZDBS-LY-7013 |
Key Research Program of Frontier Science, Chinese Academy of Sciences | |
Narodowe Centrum Nauki | 2020/39/B/ST9/03494, 2018/30/E/ST9/00698, 2020/38/E/ST9/00395, 2018/31/G/ST9/03388 |
Narodowe Centrum Nauki | |
Ministry of Education, Culture, Sports, Science and Technology | JP21H01081, JP20H05861 |
Ministry of Education, Culture, Sports, Science and Technology | |
Ministerio de Ciencia e Innovación | SEV-2016-0588, SEV-2016-0597, MDM-2015-0509, PGC2018-094773, PGC2018-102021, ESP2017-89838 |
Ministerio de Ciencia e Innovación | |
Fermi Research Alliance, LLC | DE-AC02-07CH11359 |
Seventh Framework Programme | 240672, 306478, 291329 |
Seventh Framework Programme | |
Deutsche Forschungsgemeinschaft | Hi 1495/5-1 |
Deutsche Forschungsgemeinschaft | |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | 621.016.402 |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
Japan Science and Technology Agency | CREST JPMHCR1414 |
Japan Science and Technology Agency | |
Ministerstwo Edukacji i Nauki | DIR/WK/2018/12 |
Ministerstwo Edukacji i Nauki | |
European Research Council | CMS-CSST-2021-A01, CMS-CSST-2021-B01, 639.043.512 |
European Research Council | |
National Natural Science Foundation of China | 11973070 |
National Natural Science Foundation of China | |
Science and Technology Commission of Shanghai Municipality | 19ZR1466600 |
Science and Technology Commission of Shanghai Municipality | |
Conselho Nacional de Desenvolvimento Científico e Tecnológico | 465376/2014-2 |
Conselho Nacional de Desenvolvimento Científico e Tecnológico | |
Japan Society for the Promotion of Science | 20H01932 |
Japan Society for the Promotion of Science | |
Horizon 2020 Framework Programme | 770935, 647112 |
Horizon 2020 Framework Programme | |
JST AIP Network Lab Acceleration Research | 21H05456, JPJSCCA20200002, JPJSCCA20210003, JP20317829 |
National Science Foundation | AST-1138766, AST-1536171 |
National Science Foundation | |
Japan Society for the Promotion of Science London | 19H00677 |
Japan Society for the Promotion of Science London |
Keywords
- cosmology: observations
- gravitational lensing: weak
- large-scale structure of Universe