Euclid preparation LII. Forecast impact of super-sample covariance on 3×2pt analysis with Euclid

[Context] Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncertainties in the measurement of the cosmological parameters. Super-sample covariance (SSC) is among the largest...

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Detalhes bibliográficos
Autores: Euclid Collaboration, Sciotti, Davide, Gouyou Beauchamps, Sylvain, Tutusaus, Isaac, Castander, Francisco J., Fosalba, Pablo, Serrano, Santiago, Gaztañaga, Enrique, Akrami, Yashar, García-Bellido, Juan
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/382282
Acesso em linha:http://hdl.handle.net/10261/382282
Access Level:acceso abierto
Palavra-chave:Asteroseismology
Cosmological parameters
Cosmology: observations
Cosmology: theory
Dark energy
Large-scale structure of Universe
Descrição
Resumo:[Context] Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncertainties in the measurement of the cosmological parameters. Super-sample covariance (SSC) is among the largest of these non-Gaussian contributions, with the potential to significantly degrade constraints on some of the parameters of the cosmological model under study – especially for weak-lensing cosmic shear.

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