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

U. Demirbozan et al.

Detalhes bibliográficos
Autores: Demirbozan, U., Nadathur, Seshadri, Fosalba, Pablo, Gaztañaga, Enrique
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2024
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/371746
Acesso em linha:http://hdl.handle.net/10261/371746
Access Level:Acceso aberto
Palavra-chave:Gravitational lensing: weak
Cosmic background radiation
Cosmological parameters
Large-scale structure of the Universe
Cosmology: observations
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dc.title.none.fl_str_mv The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
title The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
spellingShingle The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
Demirbozan, U.
Gravitational lensing: weak
Cosmic background radiation
Cosmological parameters
Large-scale structure of the Universe
Cosmology: observations
title_short The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
title_full The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
title_fullStr The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
title_full_unstemmed The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
title_sort The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approach
dc.creator.none.fl_str_mv Demirbozan, U.
Nadathur, Seshadri
Fosalba, Pablo
Gaztañaga, Enrique
author Demirbozan, U.
author_facet Demirbozan, U.
Nadathur, Seshadri
Fosalba, Pablo
Gaztañaga, Enrique
author_role author
author2 Nadathur, Seshadri
Fosalba, Pablo
Gaztañaga, Enrique
author2_role author
author
author
dc.contributor.none.fl_str_mv European Commission
Science and Technology Facilities Council (UK)
Ministry of Innovation and Technology (Hungary)
Hungarian Academy of Sciences
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Ministerio de Economía y Competitividad (España)
European Research Council
Generalitat de Catalunya
dc.subject.none.fl_str_mv Gravitational lensing: weak
Cosmic background radiation
Cosmological parameters
Large-scale structure of the Universe
Cosmology: observations
topic Gravitational lensing: weak
Cosmic background radiation
Cosmological parameters
Large-scale structure of the Universe
Cosmology: observations
description U. Demirbozan et al.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
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This research uses data from the DES Y3 data set (publicly available at https://des.ncsa.illinois.edu/releases/y3a2)
https://doi.org/10.1093/mnras/stae2206
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spelling The gravitational lensing imprints of des Y3 superstructures on the CMB: A matched filtering approachDemirbozan, U.Nadathur, SeshadriFosalba, PabloGaztañaga, EnriqueGravitational lensing: weakCosmic background radiationCosmological parametersLarge-scale structure of the UniverseCosmology: observationsU. Demirbozan et al.Low-density cosmic voids gravitationally lens the cosmic microwave background (CMB), leaving a ne gativ e imprint on the CMB convergence κ. 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 Surv e y Year 3 (DES Y3) data set, co v ering approximately 4200 deg 2 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 Ci `encies 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 A κ, the amplitude of the observed lensing signal relative to the simulation template, obtaining A κ = 1 . 03 ± 0 . 22 (4 . 6 σ significance) for Voxel and A κ = 1 . 02 ± 0 . 17 (5 . 9 σ significance) for 2D voids, both consistent with Lambda cold dark matter e xpectations. We additionally inv ert the 2D void-finding process to identify superclusters in the projected density field, for which we measure A κ = 0 . 87 ±0 . 15 (5 . 9 σ 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.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 Skłodowska-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 Skłodowska-Curie grant agreement number 101130774, from the Hungarian Ministry of Innovation and Technology NRDI Office grant OTKA NN147550, and from a Lendület excellence grant by the Hungarian Academy of Sciences (MTA). 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 Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).Peer reviewedOxford University PressEuropean CommissionScience and Technology Facilities Council (UK)Ministry of Innovation and Technology (Hungary)Hungarian Academy of SciencesAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Ministerio de Economía y Competitividad (España)European Research CouncilGeneralitat de Catalunya202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/ziphttp://hdl.handle.net/10261/371746reponame:DIGITAL.CSIC. 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