The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach

U. Demirbozan, S. Nadathur, I. Ferrero, P. Fosalba, A. Kovács, R. Miquel, C. T. Davies, S. Pandey, M. Adamow, K. Bechtol, A. Drlica-Wagner, R. A. Gruendl, W. G. Hartley, A. Pieres, A. J. Ross, E. S. Rykoff, E. Sheldon, B. Yanny, T. M.C. Abbott, M. AguenaS. Allam, O. Alves, D. Bacon, E. Bertin, S. Bocquet, D. Brooks, A. Carnero Rosell, J. Carretero, R. Cawthon, L. N. Da Costa, M. E.S. Pereira, J. De Vicente, S. Desai, P. Doel, S. Everett, B. Flaugher, D. Friedel, J. Frieman, M. Gatti, E. Gaztanaga, G. Giannini, G. Gutierrez, S. R. Hinton, D. L. Hollowood, D. J. James, N. Jeffrey, K. Kuehn, O. Lahav, S. Lee, J. L. Marshall, J. Mena-Fernández, J. J. Mohr, J. Myles, R. L.C. Ogando, A. A.Plazas Malagón, A. Roodman, E. Sanchez, I. Sevilla-Noarbe, M. Smith, M. Soares-Santos, E. Suchyta, M. E.C. Swanson, G. Tarle, N. Weaverdyck, J. Weller, P. Wiseman

Research output: Contribution to journalArticlepeer-review

Abstract

Low-density cosmic voids gravitationally lens the cosmic microwave background (CMB), leaving a negative imprint on the CMB convergence. This effect provides insight into the distribution of matter within voids, and can also be used to study the growth of structure. We measure this lensing imprint by cross-correlating the Planck CMB lensing convergence map with voids identified in the Dark Energy Survey Year 3 (DES Y3) data set, covering approximately 4200 deg of the sky. We use two distinct void-finding algorithms: a 2D void-finder that operates on the projected galaxy density field in thin redshift shells, and a new code, Voxel, which operates on the full 3D map of galaxy positions. We employ an optimal matched filtering method for cross-correlation, using the Marenostrum Institut de Ciències de l'Espai N-body simulation both to establish the template for the matched filter and to calibrate detection significances. Using the DES Y3 photometric luminous red galaxy sample, we measure, the amplitude of the observed lensing signal relative to the simulation template, obtaining (significance) for Voxel and (significance) for 2D voids, both consistent with Lambda cold dark matter expectations. We additionally invert the 2D void-finding process to identify superclusters in the projected density field, for which we measure (significance). The leading source of noise in our measurements is Planck noise, implying that data from the Atacama Cosmology Telescope, South Pole Telescope and CMB-S4 will increase sensitivity and allow for more precise measurements.

Original languageEnglish
Pages (from-to)2328-2343
Number of pages16
JournalMonthly Notices of the Royal Astronomical Society
Volume534
Issue number3
DOIs
StatePublished - Nov 1 2024

Funding

UD acknowledges the support by PREBIST project and has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk\u0142odowska-Curie grant agreement no. 754558. SN acknowledges support from an STFC Ernest Rutherford Fellowship, grant reference ST/T005009/2. AK received funding from the European Union's Horizon Europe research and innovation programme under the Marie Sk\u0142odowska-Curie grant agreement number 101130774, from the Hungarian Ministry of Innovation and Technology NRDI Office grant OTKA NN147550, and from a Lend\u00FClet excellence grant by the Hungarian Academy of Sciences (MTA). 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 Texas AM University, Financiadora de Estudos e Projetos, Funda\u00E7ao 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, Tecnologia e Inova\u00E7ao, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Surv e y. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energ\u00E9ticas, Medioambientales y Tecnol\u00F3gicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgen\u00F3ssische Technische Hochschule (ETH) Z\u00FCrich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ci\u00E8ncies de l'Espai (IEEC/CSIC), the Institut de F\u00EDsica d'Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universit\u00E4t M\u00FCnchen and the associated Excellence Cluster Universe, the University of Michigan, NSF's NOIRLab, the University of Nottingham, The Ohio State University, the Univ ersity of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas AM University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo InterAmerican Observatory at NSF's NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. 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 programme of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union's Se venth 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 e-Universo (CNPq grant 465376/2014-2). The data production, processing, and analysis tools for this paper hav e been dev eloped, implemented, and operated in collaboration with the Port d'Informaci\u00F3 Cient\u00EDfica (PIC) data centre. PIC is maintained through a collaboration agreement between the Institut de F\u00EDsica d'Altes Energies (IFAE) and the Centro de Investigaciones Energ\u00E9ticas, Medioambientales y Tecnol\u00F3gicas (CIEMAT). UD specifically thanks Carles Acosta and Christian Neissner for their invaluable assistance with the PIC services, and warmly acknowledges the enlightening discussions with Qianjun Hang that ha ve contrib uted to this research. 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 programme of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union\u2019s Seventh Framework 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 e-Universo (CNPq grant 465376/2014-2). 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 Texas AM University, 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, Tecnologia e Inova\u00E7\u00E3o, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energ\u00E9ticas, Medioambientales y Tecnol\u00F3gicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgen\u00F6ssische Technische Hochschule (ETH) Z\u00FCrich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ci\u00E8ncies de l\u2019Espai (IEEC/CSIC), the Institut de F\u00EDsica d\u2019Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universit\u00E4t M\u00FCnchen and the associated Excellence Cluster Universe, the University of Michigan, NSF\u2019s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas AM University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo InterAmerican Observatory at NSF\u2019s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. UD acknowledges the support by PREBIST project and has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under the Marie Sk\u0142odowska-Curie grant agreement no. 754558. SN acknowledges support from an STFC Ernest Rutherford Fellowship, grant reference ST/T005009/2. AK received funding from the European Union\u2019s Horizon Europe research and innovation programme under the Marie Sk\u0142odowska-Curie grant agreement number 101130774, from the Hungarian Ministry of Innovation and Technology NRDI Office grant OTKA NN147550, and from a Lend\u00FClet excellence grant by the Hungarian Academy of Sciences (MTA).

FundersFunder number
University of Illinois at Urbana-Champaign
European Union's Horizon Europe research and innovation programme
Brazilian Instituto Nacional de Ciência e Tecnologia
Univ ersity of Pennsylvania
University of Nottingham
University of Sussex
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
University of Edinburgh
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Seventh Framework Programme
Ohio State University
Stanford University
University of Chicago
Generalitat de Catalunya
Higher Education Funding Council for England
Financiadora de Estudos e Projetos
Collaborating Institutions in the Dark Energy Surv e y
Ministry of Education and Science of Ukraine
Eidgenössische Technische Hochschule Zürich
Horizon 2020 Framework Programme
University of California, Santa Cruz
Deutsche Forschungsgemeinschaft
European Commission
Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção
Port d'Informació Científica
SLAC National Accelerator Laboratory
U.S. Department of Energy
Mount Allison University
Lawrence Berkeley National Laboratory
Fermilab
Collaborating Institutions are Argonne National Laboratory
University College London
University of Portsmouth
Science and Technology Facilities Council of the United Kingdom
Ministério da Ciência, Tecnologia e Inovação
Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
National Centre for Supercomputing Applications
Magyar Tudományos Akadémia
European Regional Development Fund
University of Michigan
Ernest Rutherford Fellowship
Institut de Física d'Altes Energies
Collaborating Institutions in the Dark Energy Survey
Ludwig-Maximilians-Universität München
Horizon 2020
Institut de Ciències de l'Espai
Ministerio de Ciencia e InnovaciónSEV-2016-0588, SEV-2016-0597, MDM-2015-0509, PGC2018-094773, PGC2018-102021, ESP2017-89838
Ministerio de Ciencia e Innovación
Texas A and M University2012B-0001
Texas A and M University
European Research CouncilFP7/2007-2013, 240672, 306478, 291329
European Research Council
H2020 Marie Skłodowska-Curie Actions754558
H2020 Marie Skłodowska-Curie Actions
European Union’s Horizon Europe research and innovation programme101130774
National Science FoundationAST-1138766, AST-1536171
National Science Foundation
Hungarian Ministry of Innovation and Technology NRDIOTKA NN147550
Conselho Nacional de Desenvolvimento Científico e Tecnológico465376/2014-2
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Science and Technology Facilities CouncilST/T005009/2
Science and Technology Facilities Council

    Keywords

    • cosmic background radiation
    • cosmological parameters
    • cosmology: observations
    • gravitational lensing: weak
    • large-scale structure of Universe

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