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Dark Energy Survey year 3 results: covariance modelling and its impact on param...

Friedrich, O.; Andrade-Oliveira, F. [UNESP]; Camacho, H. [UNESP]; Alves, O. [UNESP]; Rosenfeld, R. [UNESP]; Sanchez, J.; Fang, X.; Eifler, T. F.

Made available in DSpace on 2022-04-29T08:36:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-12-01; We describe and test the fiducial covariance matrix model for the combined two-point function analysis of the Dark Energy Survey Year 3 (DES-Y3) data set. Using a variety of new ansatzes for covariance modelling and testing, we validate the assumptions and approximations of this model. These include the...

Date: 2022   |   Origin: Oasisbr

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