5.4k citations · 27.8k across the 235 of their papers we have counts for
14 papers · 1 filter
Dark Energy Survey Year 3 Results: Point-Spread Function Modeling
M. Jarvis, G. M. Bernstein, A. Amon +79
We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years…
Reducing ground-based astrometric errors with Gaia and Gaussian processes
W. F. Fortino, G. M. Bernstein, P. H. Bernardinelli +64
Stochastic field distortions caused by atmospheric turbulence are a fundamental limitation to the astrometric accuracy of ground-based imaging. This distortion field is measurable…
Noise from Undetected Sources in Dark Energy Survey Images
K. Eckert, G. M. Bernstein, A. Amara +66
For ground-based optical imaging with current CCD technology, the Poisson fluctuations in source and sky background photon arrivals dominate the noise budget and are readily estima…
DES Science Portal: Creating Science-Ready Catalogs
Angelo Fausti Neto, Luiz da Costa, Aurelio Carnero Rosell +55
We present a novel approach for creating science-ready catalogs through a software infrastructure developed for the Dark Energy Survey (DES). We integrate the data products release…
Forward Global Photometric Calibration of the Dark Energy Survey
D. Burke, E. S. Rykoff, S. Allam +56
Many scientific goals for the Dark Energy Survey (DES) require calibration of optical/NIR broadband photometry that is stable in time and uniform over the celestial sky…
Astrometric calibration and performance of the Dark Energy Camera
G. M. Bernstein, R. Armstrong, A. A. Plazas +53
We characterize the ability of the Dark Energy Camera (DECam) to perform relative astrometry across its 500~Mpix, 3 deg^2 science field of view, and across 4 years of operation. Th…
redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
E. Rozo, E. S. Rykoff, A. Abate +84
We introduce redMaGiC, an automated algorithm for selecting Luminous Red Galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in…
The DES Science Verification Weak Lensing Shear Catalogues
M. Jarvis, E. Sheldon, J. Zuntz +92
We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Da…
The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey
R. Kessler, J. Marriner, M. Childress +60
We describe the difference imaging pipeline (DiffImg) used to detect transients in deep images from the Dark Energy Survey Supernova program (DES-SN) in its first observing season…
Automated Transient Identification in the Dark Energy Survey
D. A. Goldstein, C. B. D'Andrea, J. A. Fischer +64
We describe an algorithm for identifying point-source transients and moving objects on reference-subtracted optical images containing artifacts of processing and instrumentation. T…
Photometric redshift analysis in the Dark Energy Survey Science Verification data
C. Sánchez, M. Carrasco Kind, H. Lin +74
We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification (SV) period of observation…
The Dark Energy Survey Data Processing and Calibration System
Joseph J. Mohr, Robert Armstrong, Emmanuel Bertin +15
The Dark Energy Survey (DES) is a 5000 deg2 grizY survey reaching characteristic photometric depths of 24th magnitude (10 sigma) and enabling accurate photometry and morphology of…
The Dark Energy Survey Data Management System
I. Sevilla, R. Armstrong, E. Bertin +19
The Dark Energy Survey (DES) is a project with the goal of building, installing and exploiting a new 74 CCD-camera at the Blanco telescope, in order to study the nature of cosmic a…
An Analysis of DES Cluster Simulations through the IMCAT and Shapelets Weak Lensing Pipelines
M. S. S. Gill, J. C. Young, J. P. Draskovic +8
We have run two completely independent weak lensing analysis pipelines on a set of realistic simulated images of a massive galaxy cluster with a singular isothermal sphere profile…