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...
Made available in DSpace on 2022-04-29T08:39:10Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-15; This work, together with its companion paper, Secco, Samuroff et al. [Phys. Rev. D 105, 023515 (2022)PRVDAQ2470-001010.1103/PhysRevD.105.023515], present the Dark Energy Survey Year 3 cosmic-shear measurements and cosmological constraints based on an analysis of over 100 million source galaxies. With th...
Made available in DSpace on 2022-04-29T08:39:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-15; We present the first cosmology results from large-scale structure using the full 5000 deg2 of imaging data from the Dark Energy Survey (DES) Data Release 1. We perform an analysis of large-scale structure combining three two-point correlation functions (3×2pt): (i) cosmic shear using 100 million source ...
Made available in DSpace on 2022-04-29T08:40:10Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-04-01; In this work, we present the galaxy clustering measurements of the two DES lens galaxy samples: a magnitude-limited sample optimized for the measurement of cosmological parameters, maglim, and a sample of luminous red galaxies selected with the redmagic algorithm. maglim/redmagic sample contains over 10...
Made available in DSpace on 2022-04-29T08:27:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-08-15; We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg2 of griz imaging data from the first year of the Dark Energy Survey (DES Y1). We combine three two-point functions: (i) the cosmic shear correlation function of 26 million source ...
Made available in DSpace on 2022-04-29T08:28:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-05-01; The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Survey has measured 207 spectroscopically confirmed type Ia supernova light curves, the baryon acoustic oscillation feature, w...
Made available in DSpace on 2022-04-29T08:28:07Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-06-07; We present constraints on extensions of the minimal cosmological models dominated by dark matter and dark energy, ΛCDM and wCDM, by using a combined analysis of galaxy clustering and weak gravitational lensing from the first-year data of the Dark Energy Survey (DES Y1) in combination with external data....
Made available in DSpace on 2022-04-29T08:29:09Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-21; We analyze Dark Energy Survey (DES) data to constrain a cosmological model where a subset of parameters - focusing on ωm - are split into versions associated with structure growth (e.g., ωmgrow) and expansion history (e.g., ωmgeo). Once the parameters have been specified for the ΛCDM cosmological model,...
Made available in DSpace on 2021-06-25T12:34:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-21; Porat Fellowship at Stanford University; Rackham Graduate School; National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility; Stanford University; Stanford Research Computing Center; U.S. Department of Energy; U.S. National Science Foundatio...
Made available in DSpace on 2019-10-04T12:37:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-05-01; DOE (USA); NSF (USA); MEC/MICINN/MINECO (Spain); STFC (UK); HEFCE (United Kingdom); NCSA (UIUC); KICP (U. Chicago); CCAPP (Ohio State); MIFPA (Texas AM); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ); FINEP (Brazi...