2018
DOI: 10.1103/physrevd.98.043528
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Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear

Abstract: We use 26 × 10 6 galaxies from the Dark Energy Survey (DES) Year 1 shape catalogs over 1321 deg 2 of the sky to produce the most significant measurement of cosmic shear in a galaxy survey to date. We constrain cosmological parameters in both the flat ΛCDM and the wCDM models, while also varying the neutrino mass density. These results are shown to be robust using two independent shape catalogs, two independent photo-z calibration methods, and two independent analysis pipelines in a blind analysis. We find a 3.… Show more

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Cited by 584 publications
(616 citation statements)
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“…It is worthy to mention that the lower bounds obtained for the value constrained for the constant β with the use of observational data are in good agreement with the upper bound obtained for the parameter state of dynamical DE models in Ref. [33], where ω de,0 = −0.95 +0.33 −0.39 .…”
Section: Final Remarkssupporting
confidence: 87%
“…It is worthy to mention that the lower bounds obtained for the value constrained for the constant β with the use of observational data are in good agreement with the upper bound obtained for the parameter state of dynamical DE models in Ref. [33], where ω de,0 = −0.95 +0.33 −0.39 .…”
Section: Final Remarkssupporting
confidence: 87%
“…The COSEBI-based redshift-recalibrated analyses for DES-Y1 4 , KV450, and their joint constraint are taken from Asgari et al [55]. 4 Instead of using the DES-Y1 redshift distributions [56], these new analyses use photometric redshifts from COSMOS-2015 [55,57,58]. Note also that we are considering a flat ΛCDM model in agreement with the cited analyses.…”
Section: Mild Tension Between Planck and Lyman-α Datamentioning
confidence: 93%
“…To validate the perturbative formalism based on a fitting formula for the matter bispectrum, we also compute the reduced shear correction using a forward model approach assuming the lognormal field approximation (Hilbert et al 2011;Mancini et al 2018;Xavier et al 2016). This approximation was recently used to generate a covariance matrix in the Dark Energy Survey Year 1 analysis (Troxel et al 2018). Using the pipeline recently presented in Taylor (Górski et al 1999;Górski et al 2005) -HEALpy) we compute the reduced shear correction by averaging over 100 forward realizations.…”
Section: Model Parameter Fiducial Valuementioning
confidence: 99%