Detalhes do Documento

Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit


Descrição

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 assumption of Gaussian likelihood, the trispectrum contribution to the covariance, the impact of evaluating the model at a wrong set of parameters, the impact of masking and survey geometry, deviations from Poissonian shot noise, galaxy weighting schemes, and other sub-dominant effects. We find that our covariance model is robust and that its approximations have little impact on goodness of fit and parameter estimation. The largest impact on best-fitting figure-of-merit arises from the so-called fsky approximation for dealing with finite survey area, which on average increases the χ2 between maximum posterior model and measurement by $3.7{{\ \rm per\ cent} (Δχ2 ≈ 18.9). Standard methods to go beyond this approximation fail for DES-Y3, but we derive an approximate scheme to deal with these features. For parameter estimation, our ignorance of the exact parameters at which to evaluate our covariance model causes the dominant effect. We find that it increases the scatter of maximum posterior values for ωm and σ8 by about $3{{\ \rm per\ cent} and for the dark energy equation-of-state parameter by about $5{{\ \rm per\ cent}.

Kavli Institute for Cosmology University of Cambridge, Madingley Road

Churchill College University of Cambridge

Instituto de Física Teórica Universidade Estadual Paulista

Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77

Department of Physics University of Michigan

ICTP South American Institute for Fundamental Research Instituto de Física Teórica Universidade Estadual Paulista

Fermi National Accelerator Laboratory, PO Box 500

Department of Astronomy/Steward Observatory University of Arizona, 933 North Cherry Avenue

Jet Propulsion Laboratory California Institute of Technology, 4800 Oak Grove Drive

Department of Astronomy and Astrophysics University of Chicago

Kavli Institute for Cosmological Physics University of Chicago

Kavli Institute for Particle Astrophysics and Cosmology Stanford University, PO Box 2450

Department of Physics and Astronomy University of Hawaii, Watanabe 416, 2505 Correa Road

Center for Cosmology and Astro-Particle Physics Ohio State University

Department of Physics Ohio State University

Institut d'Estudis Espacials de Catalunya (IEEC)

Institute of Space Sciences ICE CSIC Campus UAB, Carrer de Can Magrans, s/n

SLAC National Accelerator Laboratory

National Center for Supercomputing Applications, 1205 West Clark Street

Department of Physics Stanford University, 382 Via Pueblo Mall

Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT)

Institute of Cosmology and Gravitation University of Portsmouth

Department of Physics and Astronomy Pevensey Building University of Sussex

Institute of Astronomy University of Cambridge, Madingley Road

Department of Astrophysical Sciences Princeton University, Peyton Hall

School of Physics and Astronomy University of Southampton

Computer Science and Mathematics Division Oak Ridge National Laboratory

Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse

Universitäts-Sternwarte Fakultät für Physik Ludwig-Maximilians Universität München, Scheinerstr 1

Instituto de Física Teórica Universidade Estadual Paulista

ICTP South American Institute for Fundamental Research Instituto de Física Teórica Universidade Estadual Paulista

Tipo de Documento Artigo científico
Idioma Inglês
facebook logo  linkedin logo  twitter logo 
mendeley logo

Documentos Relacionados