Cluster profiles from beyond-the-QE CMB lensing mass maps

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorDépartement de Physique Théorique et CAP-
Autor(es): dc.contributorIndian Institute of Science Education and Research-
Autor(es): dc.contributorRaman Research Institute-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorSaha, Sayan-
Autor(es): dc.creatorLegrand, Louis-
Autor(es): dc.creatorCarron, Julien-
Data de aceite: dc.date.accessioned2025-08-21T19:27:57Z-
Data de disponibilização: dc.date.available2025-08-21T19:27:57Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1088/1475-7516/2024/01/024-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/300497-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/300497-
Descrição: dc.descriptionClusters of galaxies, being the largest collapsed structures in the universe, offer valuable insights into the nature of cosmic evolution. Precise calibration of the mass of clusters can be obtained by extracting their gravitational lensing signal on the Cosmic Microwave Background (CMB) fluctuations. We extend and test here the performance achieved on cluster scales by the parameter-free, maximum a posteriori (MAP) CMB lensing reconstruction method, which has been shown to be optimal in the broader context of CMB lensing mass map and power spectrum estimation. In the context of cluster lensing, the lensing signal of other large-scale structures acts as an additional source of noise. We show here that by delensing the CMB fluctuations around each and every cluster, this noise variance is reduced according to expectations. We also demonstrate that the well-known bias in the temperature quadratic estimator in this regime, sourced by the strong non-Gaussianity of the signal, is almost entirely mitigated without any scale cuts. Being statistically speaking an optimal and blind lensing mass map reconstruction, the MAP estimator is a promising tool for the calibration of the masses of clusters.-
Descrição: dc.descriptionUniversité de Genève Département de Physique Théorique et CAP, 24 Quai Ansermet-
Descrição: dc.descriptionDepartment of Physics Indian Institute of Science Education and Research-
Descrição: dc.descriptionRaman Research Institute, C.V. Raman Avenue Sadashivanagar-
Descrição: dc.descriptionInstituto de Física Teórica Universidade Estadual Paulista ICTP South American Institute for Fundamental Research, R. Dr. Bento Teobaldo Ferraz 271, Bloco II, Barra-Funda-
Descrição: dc.descriptionInstituto de Física Teórica Universidade Estadual Paulista ICTP South American Institute for Fundamental Research, R. Dr. Bento Teobaldo Ferraz 271, Bloco II, Barra-Funda-
Idioma: dc.languageen-
Relação: dc.relationJournal of Cosmology and Astroparticle Physics-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCMBR polarisation-
Palavras-chave: dc.subjectgalaxy clusters-
Palavras-chave: dc.subjectgravitational lensing-
Título: dc.titleCluster profiles from beyond-the-QE CMB lensing mass maps-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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