1.2k citations · 4.2k across the 36 of their papers we have counts for
36 papers
Dark Energy Survey Year 6 Results: Point-spread Function Modeling
T. Schutt, M. Jarvis, A. Roodman +70
We present the point-spread function (PSF) modeling for weak lensing shear measurement using the full six years of the Dark Energy Survey (DES Y6) data. We review the PSF estimatio…
Dark Energy Survey Year 6 Results: Cell-based Coadds and Metadetection Weak Lensing Shape Catalogue
M. Yamamoto, M. R. Becker, E. Sheldon +81
We present the Metadetection weak lensing galaxy shape catalogue from the six-year Dark Energy Survey (DES Y6) imaging data. This dataset is the final release from DES, spanning 44…
Dark Energy Survey Year 3 Results: Covariance Modelling and its Impact on Parameter Estimation and Quality of Fit
O. Friedrich, F. Andrade-Oliveira, H. Camacho +109
We describe and test the fiducial covariance matrix model for the combined 2-point function analysis of the Dark Energy Survey Year 3 (DES-Y3) dataset. Using a variety of new ansat…
Pushing automated morphological classifications to their limits with the Dark Energy Survey
J. Vega-Ferrero, H. Domínguez Sánchez, M. Bernardi +60
We present morphological classifications of 27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classif…
The first Hubble diagram and cosmological constraints using superluminous supernova
C. Inserra, M. Sullivan, C. R. Angus +88
We present the first Hubble diagram of superluminous supernovae (SLSNe) out to a redshift of two, together with constraints on the matter density, , and the dark energy…
Dark Energy Survey Identification of A Low-Mass Active Galactic Nucleus at Redshift 0.823 from Optical Variability
Hengxiao Guo, Colin J. Burke, Xin Liu +56
We report the identification of a low-mass AGN, DES J02180430, in a redshift galaxy in the Dark Energy Survey (DES) Supernova field. We select DES J02180430 as an…